diff --git a/docs/fastexcel.html b/docs/fastexcel.html
index d6eba1f..c9d396f 100644
--- a/docs/fastexcel.html
+++ b/docs/fastexcel.html
@@ -117,19 +117,19 @@ <h2>API Documentation</h2>
                     <a class="class" href="#ColumnInfo">ColumnInfo</a>
                             <ul class="memberlist">
                         <li>
-                                <a class="variable" href="#ColumnInfo.dtype_from">dtype_from</a>
+                                <a class="variable" href="#ColumnInfo.column_name_from">column_name_from</a>
                         </li>
                         <li>
-                                <a class="variable" href="#ColumnInfo.index">index</a>
+                                <a class="variable" href="#ColumnInfo.dtype_from">dtype_from</a>
                         </li>
                         <li>
-                                <a class="variable" href="#ColumnInfo.name">name</a>
+                                <a class="variable" href="#ColumnInfo.dtype">dtype</a>
                         </li>
                         <li>
-                                <a class="variable" href="#ColumnInfo.dtype">dtype</a>
+                                <a class="variable" href="#ColumnInfo.name">name</a>
                         </li>
                         <li>
-                                <a class="variable" href="#ColumnInfo.column_name_from">column_name_from</a>
+                                <a class="variable" href="#ColumnInfo.index">index</a>
                         </li>
                 </ul>
 
@@ -1920,6 +1920,28 @@ <h6 id="parameters">Parameters</h6>
 </div>
 
 
+                            <div id="ColumnInfo.column_name_from" class="classattr">
+                                <div class="attr variable">
+            <span class="name">column_name_from</span>
+
+        
+    </div>
+    <a class="headerlink" href="#ColumnInfo.column_name_from"></a>
+    
+            <div class="docstring"><p><code><a href="#ColumnNameFrom">fastexcel.ColumnNameFrom</a></code>. How the name of the column was determined.</p>
+
+<p>One of three possible values:</p>
+
+<ul>
+<li><code>"provided"</code>: The column name was provided via the <code>use_columns</code> parameter</li>
+<li><code>"looked_up"</code>: The column name was looked up from the data found in the sheet</li>
+<li><code>"generated"</code>: The column name was generated from the column index, either because
+<code>header_row</code> was <code>None</code>, or because it could not be looked up</li>
+</ul>
+</div>
+
+
+                            </div>
                             <div id="ColumnInfo.dtype_from" class="classattr">
                                 <div class="attr variable">
             <span class="name">dtype_from</span>
@@ -1941,15 +1963,15 @@ <h6 id="parameters">Parameters</h6>
 
 
                             </div>
-                            <div id="ColumnInfo.index" class="classattr">
+                            <div id="ColumnInfo.dtype" class="classattr">
                                 <div class="attr variable">
-            <span class="name">index</span>
+            <span class="name">dtype</span>
 
         
     </div>
-    <a class="headerlink" href="#ColumnInfo.index"></a>
+    <a class="headerlink" href="#ColumnInfo.dtype"></a>
     
-            <div class="docstring"><p><code>int</code>. The index of the column</p>
+            <div class="docstring"><p><code><a href="#DType">fastexcel.DType</a></code>. The dtype of the column</p>
 </div>
 
 
@@ -1967,37 +1989,15 @@ <h6 id="parameters">Parameters</h6>
 
 
                             </div>
-                            <div id="ColumnInfo.dtype" class="classattr">
-                                <div class="attr variable">
-            <span class="name">dtype</span>
-
-        
-    </div>
-    <a class="headerlink" href="#ColumnInfo.dtype"></a>
-    
-            <div class="docstring"><p><code><a href="#DType">fastexcel.DType</a></code>. The dtype of the column</p>
-</div>
-
-
-                            </div>
-                            <div id="ColumnInfo.column_name_from" class="classattr">
+                            <div id="ColumnInfo.index" class="classattr">
                                 <div class="attr variable">
-            <span class="name">column_name_from</span>
+            <span class="name">index</span>
 
         
     </div>
-    <a class="headerlink" href="#ColumnInfo.column_name_from"></a>
+    <a class="headerlink" href="#ColumnInfo.index"></a>
     
-            <div class="docstring"><p><code><a href="#ColumnNameFrom">fastexcel.ColumnNameFrom</a></code>. How the name of the column was determined.</p>
-
-<p>One of three possible values:</p>
-
-<ul>
-<li><code>"provided"</code>: The column name was provided via the <code>use_columns</code> parameter</li>
-<li><code>"looked_up"</code>: The column name was looked up from the data found in the sheet</li>
-<li><code>"generated"</code>: The column name was generated from the column index, either because
-<code>header_row</code> was <code>None</code>, or because it could not be looked up</li>
-</ul>
+            <div class="docstring"><p><code>int</code>. The index of the column</p>
 </div>
 
 
diff --git a/docs/search.js b/docs/search.js
index 43d99c2..115f350 100644
--- a/docs/search.js
+++ b/docs/search.js
@@ -1,6 +1,6 @@
 window.pdocSearch = (function(){
 /** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(e){var i=t.Pipeline.getRegisteredFunction(e);if(!i)throw new Error("Cannot load un-registered function: "+e);n.add(i)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(e){t.Pipeline.warnIfFunctionNotRegistered(e),this._queue.push(e)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i+1,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i,0,n)},t.Pipeline.prototype.remove=function(e){var t=this._queue.indexOf(e);-1!==t&&this._queue.splice(t,1)},t.Pipeline.prototype.run=function(e){for(var t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" importing "+e.version);var n=new this;n._fields=e.fields,n._ref=e.ref,n.documentStore=t.DocumentStore.load(e.documentStore),n.pipeline=t.Pipeline.load(e.pipeline),n.index={};for(var i in e.index)n.index[i]=t.InvertedIndex.load(e.index[i]);return n},t.Index.prototype.addField=function(e){return this._fields.push(e),this.index[e]=new t.InvertedIndex,this},t.Index.prototype.setRef=function(e){return this._ref=e,this},t.Index.prototype.saveDocument=function(e){return this.documentStore=new t.DocumentStore(e),this},t.Index.prototype.addDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.addDoc(i,e),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));this.documentStore.addFieldLength(i,n,o.length);var r={};o.forEach(function(e){e in r?r[e]+=1:r[e]=1},this);for(var s in r){var u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u<s.length;u++){var a=s[u];r[a]=this.pipeline.run(t.tokenizer(e[a]))}var l={};for(var c in o){var d=r[c]||r.any;if(d){var f=this.fieldSearch(d,c,o),h=o[c].boost;for(var p in f)f[p]=f[p]*h;for(var p in f)p in l?l[p]+=f[p]:l[p]=f[p]}}var v,g=[];for(var p in l)v={ref:p,score:l[p]},this.documentStore.hasDoc(p)&&(v.doc=this.documentStore.getDoc(p)),g.push(v);return g.sort(function(e,t){return t.score-e.score}),g},t.Index.prototype.fieldSearch=function(e,t,n){var i=n[t].bool,o=n[t].expand,r=n[t].boost,s=null,u={};return 0!==r?(e.forEach(function(e){var n=[e];1==o&&(n=this.index[t].expandToken(e));var r={};n.forEach(function(n){var o=this.index[t].getDocs(n),a=this.idf(n,t);if(s&&"AND"==i){var l={};for(var c in s)c in o&&(l[c]=o[c]);o=l}n==e&&this.fieldSearchStats(u,n,o);for(var c in o){var d=this.index[t].getTermFrequency(n,c),f=this.documentStore.getFieldLength(c,t),h=1;0!=f&&(h=1/Math.sqrt(f));var p=1;n!=e&&(p=.15*(1-(n.length-e.length)/n.length));var v=d*a*h*p;c in r?r[c]+=v:r[c]=v}},this),s=this.mergeScores(s,r,i)},this),s=this.coordNorm(s,u,e.length)):void 0},t.Index.prototype.mergeScores=function(e,t,n){if(!e)return t;if("AND"==n){var i={};for(var o in t)o in e&&(i[o]=e[o]+t[o]);return i}for(var o in t)o in e?e[o]+=t[o]:e[o]=t[o];return e},t.Index.prototype.fieldSearchStats=function(e,t,n){for(var i in n)i in e?e[i].push(t):e[i]=[t]},t.Index.prototype.coordNorm=function(e,t,n){for(var i in e)if(i in t){var o=t[i].length;e[i]=e[i]*o/n}return e},t.Index.prototype.toJSON=function(){var e={};return this._fields.forEach(function(t){e[t]=this.index[t].toJSON()},this),{version:t.version,fields:this._fields,ref:this._ref,documentStore:this.documentStore.toJSON(),index:e,pipeline:this.pipeline.toJSON()}},t.Index.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},t.DocumentStore=function(e){this._save=null===e||void 0===e?!0:e,this.docs={},this.docInfo={},this.length=0},t.DocumentStore.load=function(e){var t=new this;return t.length=e.length,t.docs=e.docs,t.docInfo=e.docInfo,t._save=e.save,t},t.DocumentStore.prototype.isDocStored=function(){return this._save},t.DocumentStore.prototype.addDoc=function(t,n){this.hasDoc(t)||this.length++,this.docs[t]=this._save===!0?e(n):null},t.DocumentStore.prototype.getDoc=function(e){return this.hasDoc(e)===!1?null:this.docs[e]},t.DocumentStore.prototype.hasDoc=function(e){return e in this.docs},t.DocumentStore.prototype.removeDoc=function(e){this.hasDoc(e)&&(delete this.docs[e],delete this.docInfo[e],this.length--)},t.DocumentStore.prototype.addFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&(this.docInfo[e]||(this.docInfo[e]={}),this.docInfo[e][t]=n)},t.DocumentStore.prototype.updateFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&this.addFieldLength(e,t,n)},t.DocumentStore.prototype.getFieldLength=function(e,t){return null===e||void 0===e?0:e in this.docs&&t in this.docInfo[e]?this.docInfo[e][t]:0},t.DocumentStore.prototype.toJSON=function(){return{docs:this.docs,docInfo:this.docInfo,length:this.length,save:this._save}},t.stemmer=function(){var e={ational:"ate",tional:"tion",enci:"ence",anci:"ance",izer:"ize",bli:"ble",alli:"al",entli:"ent",eli:"e",ousli:"ous",ization:"ize",ation:"ate",ator:"ate",alism:"al",iveness:"ive",fulness:"ful",ousness:"ous",aliti:"al",iviti:"ive",biliti:"ble",logi:"log"},t={icate:"ic",ative:"",alize:"al",iciti:"ic",ical:"ic",ful:"",ness:""},n="[^aeiou]",i="[aeiouy]",o=n+"[^aeiouy]*",r=i+"[aeiou]*",s="^("+o+")?"+r+o,u="^("+o+")?"+r+o+"("+r+")?$",a="^("+o+")?"+r+o+r+o,l="^("+o+")?"+i,c=new RegExp(s),d=new RegExp(a),f=new RegExp(u),h=new RegExp(l),p=/^(.+?)(ss|i)es$/,v=/^(.+?)([^s])s$/,g=/^(.+?)eed$/,m=/^(.+?)(ed|ing)$/,y=/.$/,S=/(at|bl|iz)$/,x=new RegExp("([^aeiouylsz])\\1$"),w=new 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0===e)throw new Error("token should not be undefined");return e.replace(/^\W+/,"").replace(/\W+$/,"")},t.Pipeline.registerFunction(t.trimmer,"trimmer"),t.InvertedIndex=function(){this.root={docs:{},df:0}},t.InvertedIndex.load=function(e){var t=new this;return t.root=e.root,t},t.InvertedIndex.prototype.addToken=function(e,t,n){for(var n=n||this.root,i=0;i<=e.length-1;){var o=e[i];o in n||(n[o]={docs:{},df:0}),i+=1,n=n[o]}var r=t.ref;n.docs[r]?n.docs[r]={tf:t.tf}:(n.docs[r]={tf:t.tf},n.df+=1)},t.InvertedIndex.prototype.hasToken=function(e){if(!e)return!1;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return!1;t=t[e[n]]}return!0},t.InvertedIndex.prototype.getNode=function(e){if(!e)return null;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return null;t=t[e[n]]}return t},t.InvertedIndex.prototype.getDocs=function(e){var t=this.getNode(e);return null==t?{}:t.docs},t.InvertedIndex.prototype.getTermFrequency=function(e,t){var n=this.getNode(e);return null==n?0:t in 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configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e<arguments.length;e++)t=arguments[e],~this.indexOf(t)||this.elements.splice(this.locationFor(t),0,t);this.length=this.elements.length},lunr.SortedSet.prototype.toArray=function(){return this.elements.slice()},lunr.SortedSet.prototype.map=function(e,t){return this.elements.map(e,t)},lunr.SortedSet.prototype.forEach=function(e,t){return this.elements.forEach(e,t)},lunr.SortedSet.prototype.indexOf=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var 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-    /** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"fastexcel": {"fullname": "fastexcel", "modulename": "fastexcel", "kind": "module", "doc": "<p></p>\n"}, "fastexcel.read_excel": {"fullname": "fastexcel.read_excel", "modulename": "fastexcel", "qualname": "read_excel", "kind": "function", "doc": "<p>Opens and loads an excel file.</p>\n\n<h6 id=\"parameters\">Parameters</h6>\n\n<ul>\n<li><strong>source</strong>:  The path to a file or its content as bytes</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">source</span><span class=\"p\">:</span> <span class=\"n\">pathlib</span><span class=\"o\">.</span><span class=\"n\">Path</span> <span class=\"o\">|</span> <span class=\"nb\">str</span> <span class=\"o\">|</span> <span class=\"nb\">bytes</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelReader</span>:</span></span>", "funcdef": "def"}, "fastexcel.DType": {"fullname": "fastexcel.DType", "modulename": "fastexcel", "qualname": "DType", "kind": "variable", "doc": "<p></p>\n", "default_value": "typing.Literal[&#x27;null&#x27;, &#x27;int&#x27;, &#x27;float&#x27;, &#x27;string&#x27;, &#x27;boolean&#x27;, &#x27;datetime&#x27;, &#x27;date&#x27;, &#x27;duration&#x27;]"}, "fastexcel.DTypeMap": {"fullname": "fastexcel.DTypeMap", "modulename": "fastexcel", "qualname": "DTypeMap", "kind": "variable", "doc": "<p></p>\n", "annotation": ": TypeAlias", "default_value": "&#x27;dict[str | int, DType]&#x27;"}, "fastexcel.ExcelReader": {"fullname": "fastexcel.ExcelReader", "modulename": "fastexcel", "qualname": "ExcelReader", "kind": "class", "doc": "<p>A class representing an open Excel file and allowing to read its sheets</p>\n"}, "fastexcel.ExcelReader.__init__": {"fullname": "fastexcel.ExcelReader.__init__", "modulename": "fastexcel", "qualname": "ExcelReader.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">reader</span><span class=\"p\">:</span> <span class=\"n\">_ExcelReader</span></span>)</span>"}, "fastexcel.ExcelReader.sheet_names": {"fullname": "fastexcel.ExcelReader.sheet_names", "modulename": "fastexcel", "qualname": "ExcelReader.sheet_names", "kind": "variable", "doc": "<p>The list of sheet names</p>\n", "annotation": ": list[str]"}, "fastexcel.ExcelReader.load_sheet": {"fullname": "fastexcel.ExcelReader.load_sheet", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet", "kind": "function", "doc": "<p>Loads a sheet lazily by index or name.</p>\n\n<h6 id=\"parameters\">Parameters</h6>\n\n<ul>\n<li><strong>idx_or_name</strong>:  The index (starting at 0) or the name of the sheet to load.</li>\n<li><strong>header_row</strong>:  The index of the row containing the column labels, default index is 0.\nIf <code>None</code>, the sheet does not have any column labels.\nAny rows before the <code>header_row</code> will be automatically skipped.</li>\n<li><strong>column_names</strong>:  Overrides headers found in the document.\nIf <code>column_names</code> is used, <code>header_row</code> will be ignored.</li>\n<li><strong>n_rows</strong>:  Specifies how many rows should be loaded.\nIf <code>None</code>, all rows are loaded</li>\n<li><strong>skip_rows</strong>:  Specifies how many rows should be skipped after the <code>header_row</code>.\nAny rows before the <code>header_row</code> are automatically skipped.\nIf <code>header_row</code> is <code>None</code>, it skips the number of rows from the\nstart of the sheet.</li>\n<li><strong>schema_sample_rows</strong>:  Specifies how many rows should be used to determine\nthe dtype of a column.\nIf <code>None</code>, all rows will be used.</li>\n<li><strong>dtype_coercion</strong>:  Specifies how type coercion should behave. <code>coerce</code> (the default)\nwill try to coerce different dtypes in a column to the same one,\nwhereas <code>strict</code> will raise an error in case a column contains\nseveral dtypes. Note that this only applies to columns whose dtype\nis guessed, i.e. not specified via <code>dtypes</code>.</li>\n<li><strong>use_columns: Specifies the columns to use. Can either be</strong>: \n<ul>\n<li><code>None</code> to select all columns</li>\n<li>A list of strings and ints, the column names and/or indices\n(starting at 0)</li>\n<li>A string, a comma separated list of Excel column letters and column\nranges (e.g. <code>\u201cA:E\u201d</code> or <code>\u201cA,C,E:F\u201d</code>, which would result in\n<code>A,B,C,D,E</code> and <code>A,C,E,F</code>)</li>\n<li>A callable, a function that takes a column and returns a boolean\nindicating whether the column should be used</li>\n</ul></li>\n<li><strong>dtypes</strong>:  An optional dict of dtypes. Keys can be column indices or names</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">idx_or_name</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"n\">Union</span><span class=\"p\">[</span><span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">],</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">],</span> <span class=\"nb\">str</span><span class=\"p\">,</span> <span class=\"n\">Callable</span><span class=\"p\">[[</span><span class=\"n\">ColumnInfo</span><span class=\"p\">],</span> <span class=\"nb\">bool</span><span class=\"p\">],</span> <span class=\"n\">NoneType</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelSheet</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.table_names": {"fullname": "fastexcel.ExcelReader.table_names", "modulename": "fastexcel", "qualname": "ExcelReader.table_names", "kind": "function", "doc": "<p>The list of table names.</p>\n\n<p>Will return an empty list if no tables are found.</p>\n\n<h6 id=\"parameters\">Parameters</h6>\n\n<ul>\n<li><strong>sheet_idx_or_name</strong>:  If given, will limit the list to the given sheet, will be faster\ntoo.</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"bp\">self</span>, </span><span class=\"param\"><span class=\"n\">sheet_idx_or_name</span><span class=\"p\">:</span> <span class=\"nb\">str</span> <span class=\"o\">|</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.load_table": {"fullname": "fastexcel.ExcelReader.load_table", "modulename": "fastexcel", "qualname": "ExcelReader.load_table", "kind": "function", "doc": "<p>Loads a table by name.</p>\n\n<h6 id=\"parameters\">Parameters</h6>\n\n<ul>\n<li><strong>name</strong>:  The name of the table to load.</li>\n<li><strong>header_row</strong>:  The index of the row containing the column labels.\nIf <code>None</code>, the table's column names will be used.\nAny rows before the <code>header_row</code> will be automatically skipped.</li>\n<li><strong>column_names</strong>:  Overrides headers found in the document.\nIf <code>column_names</code> is used, <code>header_row</code> will be ignored.</li>\n<li><strong>n_rows</strong>:  Specifies how many rows should be loaded.\nIf <code>None</code>, all rows are loaded</li>\n<li><strong>skip_rows</strong>:  Specifies how many rows should be skipped after the <code>header_row</code>.\nAny rows before the <code>header_row</code> are automatically skipped.\nIf <code>header_row</code> is <code>None</code>, it skips the number of rows from the\nstart of the sheet.</li>\n<li><strong>schema_sample_rows</strong>:  Specifies how many rows should be used to determine\nthe dtype of a column.\nIf <code>None</code>, all rows will be used.</li>\n<li><strong>dtype_coercion</strong>:  Specifies how type coercion should behave. <code>coerce</code> (the default)\nwill try to coerce different dtypes in a column to the same one,\nwhereas <code>strict</code> will raise an error in case a column contains\nseveral dtypes. Note that this only applies to columns whose dtype\nis guessed, i.e. not specified via <code>dtypes</code>.</li>\n<li><strong>use_columns: Specifies the columns to use. Can either be</strong>: \n<ul>\n<li><code>None</code> to select all columns</li>\n<li>A list of strings and ints, the column names and/or indices\n(starting at 0)</li>\n<li>A string, a comma separated list of Excel column letters and column\nranges (e.g. <code>\u201cA:E\u201d</code> or <code>\u201cA,C,E:F\u201d</code>, which would result in\n<code>A,B,C,D,E</code> and <code>A,C,E,F</code>)</li>\n<li>A callable, a function that takes a column and returns a boolean\nindicating whether the column should be used</li>\n</ul></li>\n<li><strong>dtypes</strong>:  An optional dict of dtypes. Keys can be column indices or names</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">name</span><span class=\"p\">:</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"n\">Union</span><span class=\"p\">[</span><span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">],</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">],</span> <span class=\"nb\">str</span><span class=\"p\">,</span> <span class=\"n\">Callable</span><span class=\"p\">[[</span><span class=\"n\">ColumnInfo</span><span class=\"p\">],</span> <span class=\"nb\">bool</span><span class=\"p\">],</span> <span class=\"n\">NoneType</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">eager</span><span class=\"p\">:</span> <span class=\"nb\">bool</span> <span class=\"o\">=</span> <span class=\"kc\">False</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelTable</span> <span class=\"o\">|</span> <span class=\"n\">pyarrow</span><span class=\"o\">.</span><span class=\"n\">lib</span><span class=\"o\">.</span><span class=\"n\">RecordBatch</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet_eager": {"fullname": "fastexcel.ExcelReader.load_sheet_eager", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_eager", "kind": "function", "doc": "<p>Loads a sheet eagerly by index or name.</p>\n\n<p>For xlsx files, this will be faster and more memory-efficient, as it will use\n<code>worksheet_range_ref</code> under the hood, which returns borrowed types.</p>\n\n<p>Refer to <code>load_sheet</code> for parameter documentation</p>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">idx_or_name</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"nb\">str</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"n\">pyarrow</span><span class=\"o\">.</span><span class=\"n\">lib</span><span class=\"o\">.</span><span class=\"n\">RecordBatch</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet_by_name": {"fullname": "fastexcel.ExcelReader.load_sheet_by_name", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_by_name", "kind": "function", "doc": "<p>Loads a sheet by name.</p>\n\n<p>Refer to <code>load_sheet</code> for parameter documentation</p>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">name</span><span class=\"p\">:</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"n\">Union</span><span class=\"p\">[</span><span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">],</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">],</span> <span class=\"nb\">str</span><span class=\"p\">,</span> <span class=\"n\">Callable</span><span class=\"p\">[[</span><span class=\"n\">ColumnInfo</span><span class=\"p\">],</span> <span class=\"nb\">bool</span><span class=\"p\">],</span> <span class=\"n\">NoneType</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelSheet</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet_by_idx": {"fullname": "fastexcel.ExcelReader.load_sheet_by_idx", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_by_idx", "kind": "function", "doc": "<p>Loads a sheet by index.</p>\n\n<p>Refer to <code>load_sheet</code> for parameter documentation</p>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">idx</span><span class=\"p\">:</span> <span class=\"nb\">int</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"n\">Union</span><span class=\"p\">[</span><span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">],</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">],</span> <span class=\"nb\">str</span><span class=\"p\">,</span> <span class=\"n\">Callable</span><span class=\"p\">[[</span><span class=\"n\">ColumnInfo</span><span class=\"p\">],</span> <span class=\"nb\">bool</span><span class=\"p\">],</span> <span class=\"n\">NoneType</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelSheet</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelSheet": {"fullname": "fastexcel.ExcelSheet", "modulename": "fastexcel", "qualname": "ExcelSheet", "kind": "class", "doc": "<p>A class representing a single sheet in an Excel File</p>\n"}, "fastexcel.ExcelSheet.__init__": {"fullname": "fastexcel.ExcelSheet.__init__", "modulename": "fastexcel", "qualname": "ExcelSheet.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">sheet</span><span class=\"p\">:</span> <span class=\"n\">_ExcelSheet</span></span>)</span>"}, "fastexcel.ExcelSheet.name": {"fullname": "fastexcel.ExcelSheet.name", "modulename": "fastexcel", "qualname": "ExcelSheet.name", "kind": "variable", "doc": "<p>The name of the sheet</p>\n", "annotation": ": str"}, "fastexcel.ExcelSheet.width": {"fullname": "fastexcel.ExcelSheet.width", "modulename": "fastexcel", "qualname": "ExcelSheet.width", "kind": "variable", "doc": "<p>The sheet's width</p>\n", "annotation": ": int"}, "fastexcel.ExcelSheet.height": {"fullname": "fastexcel.ExcelSheet.height", "modulename": "fastexcel", "qualname": "ExcelSheet.height", "kind": "variable", "doc": "<p>The sheet's height, with <code>skip_rows</code> and <code>nrows</code> applied</p>\n", "annotation": ": int"}, "fastexcel.ExcelSheet.total_height": {"fullname": "fastexcel.ExcelSheet.total_height", "modulename": "fastexcel", "qualname": "ExcelSheet.total_height", "kind": "variable", "doc": "<p>The sheet's total height</p>\n", "annotation": ": int"}, "fastexcel.ExcelSheet.selected_columns": {"fullname": "fastexcel.ExcelSheet.selected_columns", "modulename": "fastexcel", "qualname": "ExcelSheet.selected_columns", "kind": "variable", "doc": "<p>The sheet's selected columns</p>\n", "annotation": ": list[ColumnInfo]"}, "fastexcel.ExcelSheet.available_columns": {"fullname": "fastexcel.ExcelSheet.available_columns", "modulename": "fastexcel", "qualname": "ExcelSheet.available_columns", "kind": "variable", "doc": "<p>The columns available for the given sheet</p>\n", "annotation": ": list[ColumnInfo]"}, "fastexcel.ExcelSheet.specified_dtypes": {"fullname": "fastexcel.ExcelSheet.specified_dtypes", "modulename": "fastexcel", "qualname": "ExcelSheet.specified_dtypes", "kind": "variable", "doc": "<p>The dtypes specified for the sheet</p>\n", "annotation": ": &#x27;DTypeMap | None&#x27;"}, "fastexcel.ExcelSheet.visible": {"fullname": "fastexcel.ExcelSheet.visible", "modulename": "fastexcel", "qualname": "ExcelSheet.visible", "kind": "variable", "doc": "<p>The visibility of the sheet</p>\n", "annotation": ": Literal[&#x27;visible&#x27;, &#x27;hidden&#x27;, &#x27;veryhidden&#x27;]"}, "fastexcel.ExcelSheet.to_arrow": {"fullname": "fastexcel.ExcelSheet.to_arrow", "modulename": "fastexcel", "qualname": "ExcelSheet.to_arrow", "kind": "function", "doc": "<p>Converts the sheet to a pyarrow <code>RecordBatch</code></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"bp\">self</span></span><span class=\"return-annotation\">) -> <span class=\"n\">pyarrow</span><span class=\"o\">.</span><span class=\"n\">lib</span><span class=\"o\">.</span><span class=\"n\">RecordBatch</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelSheet.to_pandas": {"fullname": "fastexcel.ExcelSheet.to_pandas", "modulename": "fastexcel", "qualname": "ExcelSheet.to_pandas", "kind": "function", "doc": "<p>Converts the sheet to a Pandas <code>DataFrame</code>.</p>\n\n<p>Requires the <code>pandas</code> extra to be installed.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"bp\">self</span></span><span class=\"return-annotation\">) -> <span class=\"n\">pandas</span><span class=\"o\">.</span><span class=\"n\">core</span><span class=\"o\">.</span><span class=\"n\">frame</span><span class=\"o\">.</span><span class=\"n\">DataFrame</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelSheet.to_polars": {"fullname": "fastexcel.ExcelSheet.to_polars", "modulename": "fastexcel", "qualname": "ExcelSheet.to_polars", "kind": "function", "doc": "<p>Converts the sheet to a Polars <code>DataFrame</code>.</p>\n\n<p>Requires the <code>polars</code> extra to be installed.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"bp\">self</span></span><span class=\"return-annotation\">) -> <span class=\"n\">polars</span><span class=\"o\">.</span><span class=\"n\">dataframe</span><span class=\"o\">.</span><span class=\"n\">frame</span><span class=\"o\">.</span><span class=\"n\">DataFrame</span>:</span></span>", "funcdef": "def"}, "fastexcel.DTypeFrom": {"fullname": "fastexcel.DTypeFrom", "modulename": "fastexcel", "qualname": "DTypeFrom", "kind": "variable", "doc": "<p></p>\n", "annotation": ": TypeAlias", "default_value": "Literal[&#x27;provided_by_index&#x27;, &#x27;provided_by_name&#x27;, &#x27;guessed&#x27;]"}, "fastexcel.ColumnNameFrom": {"fullname": "fastexcel.ColumnNameFrom", "modulename": "fastexcel", "qualname": "ColumnNameFrom", "kind": "variable", "doc": "<p></p>\n", "annotation": ": TypeAlias", "default_value": "Literal[&#x27;provided&#x27;, &#x27;looked_up&#x27;, &#x27;generated&#x27;]"}, "fastexcel.ColumnInfo": {"fullname": "fastexcel.ColumnInfo", "modulename": "fastexcel", "qualname": "ColumnInfo", "kind": "class", "doc": "<p>This class provides information about a single column in a sheet</p>\n"}, "fastexcel.ColumnInfo.dtype_from": {"fullname": "fastexcel.ColumnInfo.dtype_from", "modulename": "fastexcel", "qualname": "ColumnInfo.dtype_from", "kind": "variable", "doc": "<p><code>fastexcel.DTypeFrom</code>. How the dtype of the column was determined.</p>\n\n<p>One of three possible values:</p>\n\n<ul>\n<li><code>\"provided_by_index\"</code>: The dtype was specified via the column index</li>\n<li><code>\"provided_by_name\"</code>: The dtype was specified via the column name</li>\n<li><code>\"guessed\"</code>: The dtype was determined from the content of the column</li>\n</ul>\n"}, "fastexcel.ColumnInfo.index": {"fullname": "fastexcel.ColumnInfo.index", "modulename": "fastexcel", "qualname": "ColumnInfo.index", "kind": "variable", "doc": "<p><code>int</code>. The index of the column</p>\n"}, "fastexcel.ColumnInfo.name": {"fullname": "fastexcel.ColumnInfo.name", "modulename": "fastexcel", "qualname": "ColumnInfo.name", "kind": "variable", "doc": "<p><code>str</code>. The name of the column</p>\n"}, "fastexcel.ColumnInfo.dtype": {"fullname": "fastexcel.ColumnInfo.dtype", "modulename": "fastexcel", "qualname": "ColumnInfo.dtype", "kind": "variable", "doc": "<p><code>fastexcel.DType</code>. The dtype of the column</p>\n"}, "fastexcel.ColumnInfo.column_name_from": {"fullname": "fastexcel.ColumnInfo.column_name_from", "modulename": "fastexcel", "qualname": "ColumnInfo.column_name_from", "kind": "variable", "doc": "<p><code>fastexcel.ColumnNameFrom</code>. How the name of the column was determined.</p>\n\n<p>One of three possible values:</p>\n\n<ul>\n<li><code>\"provided\"</code>: The column name was provided via the <code>use_columns</code> parameter</li>\n<li><code>\"looked_up\"</code>: The column name was looked up from the data found in the sheet</li>\n<li><code>\"generated\"</code>: The column name was generated from the column index, either because\n<code>header_row</code> was <code>None</code>, or because it could not be looked up</li>\n</ul>\n"}, "fastexcel.FastExcelError": {"fullname": "fastexcel.FastExcelError", "modulename": "fastexcel", "qualname": "FastExcelError", "kind": "class", "doc": "<p>The base class for all fastexcel errors</p>\n", "bases": "builtins.Exception"}, "fastexcel.CannotRetrieveCellDataError": {"fullname": "fastexcel.CannotRetrieveCellDataError", "modulename": "fastexcel", "qualname": "CannotRetrieveCellDataError", "kind": "class", "doc": "<p>Data for a given cell cannot be retrieved</p>\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.CalamineCellError": {"fullname": "fastexcel.CalamineCellError", "modulename": "fastexcel", "qualname": "CalamineCellError", "kind": "class", "doc": "<p>calamine returned an error regarding the content of the cell</p>\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.CalamineError": {"fullname": "fastexcel.CalamineError", "modulename": "fastexcel", "qualname": "CalamineError", "kind": "class", "doc": "<p>Generic calamine error</p>\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.SheetNotFoundError": {"fullname": "fastexcel.SheetNotFoundError", "modulename": "fastexcel", "qualname": "SheetNotFoundError", "kind": "class", "doc": "<p>Sheet was not found</p>\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.ColumnNotFoundError": {"fullname": "fastexcel.ColumnNotFoundError", "modulename": "fastexcel", "qualname": "ColumnNotFoundError", "kind": "class", "doc": "<p>Column was not found</p>\n", "bases": "_fastexcel.FastExcelError"}, 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+    /** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"fastexcel": {"fullname": "fastexcel", "modulename": "fastexcel", "kind": "module", "doc": "<p></p>\n"}, "fastexcel.read_excel": {"fullname": "fastexcel.read_excel", "modulename": "fastexcel", "qualname": "read_excel", "kind": "function", "doc": "<p>Opens and loads an excel file.</p>\n\n<h6 id=\"parameters\">Parameters</h6>\n\n<ul>\n<li><strong>source</strong>:  The path to a file or its content as bytes</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">source</span><span class=\"p\">:</span> <span class=\"n\">pathlib</span><span class=\"o\">.</span><span class=\"n\">Path</span> <span class=\"o\">|</span> <span class=\"nb\">str</span> <span class=\"o\">|</span> <span class=\"nb\">bytes</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelReader</span>:</span></span>", "funcdef": "def"}, "fastexcel.DType": {"fullname": "fastexcel.DType", "modulename": "fastexcel", "qualname": "DType", "kind": "variable", "doc": "<p></p>\n", "default_value": "typing.Literal[&#x27;null&#x27;, &#x27;int&#x27;, &#x27;float&#x27;, &#x27;string&#x27;, &#x27;boolean&#x27;, &#x27;datetime&#x27;, &#x27;date&#x27;, &#x27;duration&#x27;]"}, "fastexcel.DTypeMap": {"fullname": "fastexcel.DTypeMap", "modulename": "fastexcel", "qualname": "DTypeMap", "kind": "variable", "doc": "<p></p>\n", "annotation": ": TypeAlias", "default_value": "&#x27;dict[str | int, DType]&#x27;"}, "fastexcel.ExcelReader": {"fullname": "fastexcel.ExcelReader", "modulename": "fastexcel", "qualname": "ExcelReader", "kind": "class", "doc": "<p>A class representing an open Excel file and allowing to read its sheets</p>\n"}, "fastexcel.ExcelReader.__init__": {"fullname": "fastexcel.ExcelReader.__init__", "modulename": "fastexcel", "qualname": "ExcelReader.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">reader</span><span class=\"p\">:</span> <span class=\"n\">_ExcelReader</span></span>)</span>"}, "fastexcel.ExcelReader.sheet_names": {"fullname": "fastexcel.ExcelReader.sheet_names", "modulename": "fastexcel", "qualname": "ExcelReader.sheet_names", "kind": "variable", "doc": "<p>The list of sheet names</p>\n", "annotation": ": list[str]"}, "fastexcel.ExcelReader.load_sheet": {"fullname": "fastexcel.ExcelReader.load_sheet", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet", "kind": "function", "doc": "<p>Loads a sheet lazily by index or name.</p>\n\n<h6 id=\"parameters\">Parameters</h6>\n\n<ul>\n<li><strong>idx_or_name</strong>:  The index (starting at 0) or the name of the sheet to load.</li>\n<li><strong>header_row</strong>:  The index of the row containing the column labels, default index is 0.\nIf <code>None</code>, the sheet does not have any column labels.\nAny rows before the <code>header_row</code> will be automatically skipped.</li>\n<li><strong>column_names</strong>:  Overrides headers found in the document.\nIf <code>column_names</code> is used, <code>header_row</code> will be ignored.</li>\n<li><strong>n_rows</strong>:  Specifies how many rows should be loaded.\nIf <code>None</code>, all rows are loaded</li>\n<li><strong>skip_rows</strong>:  Specifies how many rows should be skipped after the <code>header_row</code>.\nAny rows before the <code>header_row</code> are automatically skipped.\nIf <code>header_row</code> is <code>None</code>, it skips the number of rows from the\nstart of the sheet.</li>\n<li><strong>schema_sample_rows</strong>:  Specifies how many rows should be used to determine\nthe dtype of a column.\nIf <code>None</code>, all rows will be used.</li>\n<li><strong>dtype_coercion</strong>:  Specifies how type coercion should behave. <code>coerce</code> (the default)\nwill try to coerce different dtypes in a column to the same one,\nwhereas <code>strict</code> will raise an error in case a column contains\nseveral dtypes. Note that this only applies to columns whose dtype\nis guessed, i.e. not specified via <code>dtypes</code>.</li>\n<li><strong>use_columns: Specifies the columns to use. Can either be</strong>: \n<ul>\n<li><code>None</code> to select all columns</li>\n<li>A list of strings and ints, the column names and/or indices\n(starting at 0)</li>\n<li>A string, a comma separated list of Excel column letters and column\nranges (e.g. <code>\u201cA:E\u201d</code> or <code>\u201cA,C,E:F\u201d</code>, which would result in\n<code>A,B,C,D,E</code> and <code>A,C,E,F</code>)</li>\n<li>A callable, a function that takes a column and returns a boolean\nindicating whether the column should be used</li>\n</ul></li>\n<li><strong>dtypes</strong>:  An optional dict of dtypes. Keys can be column indices or names</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">idx_or_name</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"n\">Union</span><span class=\"p\">[</span><span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">],</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">],</span> <span class=\"nb\">str</span><span class=\"p\">,</span> <span class=\"n\">Callable</span><span class=\"p\">[[</span><span class=\"n\">ColumnInfo</span><span class=\"p\">],</span> <span class=\"nb\">bool</span><span class=\"p\">],</span> <span class=\"n\">NoneType</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelSheet</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.table_names": {"fullname": "fastexcel.ExcelReader.table_names", "modulename": "fastexcel", "qualname": "ExcelReader.table_names", "kind": "function", "doc": "<p>The list of table names.</p>\n\n<p>Will return an empty list if no tables are found.</p>\n\n<h6 id=\"parameters\">Parameters</h6>\n\n<ul>\n<li><strong>sheet_idx_or_name</strong>:  If given, will limit the list to the given sheet, will be faster\ntoo.</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"bp\">self</span>, </span><span class=\"param\"><span class=\"n\">sheet_idx_or_name</span><span class=\"p\">:</span> <span class=\"nb\">str</span> <span class=\"o\">|</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.load_table": {"fullname": "fastexcel.ExcelReader.load_table", "modulename": "fastexcel", "qualname": "ExcelReader.load_table", "kind": "function", "doc": "<p>Loads a table by name.</p>\n\n<h6 id=\"parameters\">Parameters</h6>\n\n<ul>\n<li><strong>name</strong>:  The name of the table to load.</li>\n<li><strong>header_row</strong>:  The index of the row containing the column labels.\nIf <code>None</code>, the table's column names will be used.\nAny rows before the <code>header_row</code> will be automatically skipped.</li>\n<li><strong>column_names</strong>:  Overrides headers found in the document.\nIf <code>column_names</code> is used, <code>header_row</code> will be ignored.</li>\n<li><strong>n_rows</strong>:  Specifies how many rows should be loaded.\nIf <code>None</code>, all rows are loaded</li>\n<li><strong>skip_rows</strong>:  Specifies how many rows should be skipped after the <code>header_row</code>.\nAny rows before the <code>header_row</code> are automatically skipped.\nIf <code>header_row</code> is <code>None</code>, it skips the number of rows from the\nstart of the sheet.</li>\n<li><strong>schema_sample_rows</strong>:  Specifies how many rows should be used to determine\nthe dtype of a column.\nIf <code>None</code>, all rows will be used.</li>\n<li><strong>dtype_coercion</strong>:  Specifies how type coercion should behave. <code>coerce</code> (the default)\nwill try to coerce different dtypes in a column to the same one,\nwhereas <code>strict</code> will raise an error in case a column contains\nseveral dtypes. Note that this only applies to columns whose dtype\nis guessed, i.e. not specified via <code>dtypes</code>.</li>\n<li><strong>use_columns: Specifies the columns to use. Can either be</strong>: \n<ul>\n<li><code>None</code> to select all columns</li>\n<li>A list of strings and ints, the column names and/or indices\n(starting at 0)</li>\n<li>A string, a comma separated list of Excel column letters and column\nranges (e.g. <code>\u201cA:E\u201d</code> or <code>\u201cA,C,E:F\u201d</code>, which would result in\n<code>A,B,C,D,E</code> and <code>A,C,E,F</code>)</li>\n<li>A callable, a function that takes a column and returns a boolean\nindicating whether the column should be used</li>\n</ul></li>\n<li><strong>dtypes</strong>:  An optional dict of dtypes. Keys can be column indices or names</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">name</span><span class=\"p\">:</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"n\">Union</span><span class=\"p\">[</span><span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">],</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">],</span> <span class=\"nb\">str</span><span class=\"p\">,</span> <span class=\"n\">Callable</span><span class=\"p\">[[</span><span class=\"n\">ColumnInfo</span><span class=\"p\">],</span> <span class=\"nb\">bool</span><span class=\"p\">],</span> <span class=\"n\">NoneType</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">eager</span><span class=\"p\">:</span> <span class=\"nb\">bool</span> <span class=\"o\">=</span> <span class=\"kc\">False</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelTable</span> <span class=\"o\">|</span> <span class=\"n\">pyarrow</span><span class=\"o\">.</span><span class=\"n\">lib</span><span class=\"o\">.</span><span class=\"n\">RecordBatch</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet_eager": {"fullname": "fastexcel.ExcelReader.load_sheet_eager", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_eager", "kind": "function", "doc": "<p>Loads a sheet eagerly by index or name.</p>\n\n<p>For xlsx files, this will be faster and more memory-efficient, as it will use\n<code>worksheet_range_ref</code> under the hood, which returns borrowed types.</p>\n\n<p>Refer to <code>load_sheet</code> for parameter documentation</p>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">idx_or_name</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"nb\">str</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"n\">pyarrow</span><span class=\"o\">.</span><span class=\"n\">lib</span><span class=\"o\">.</span><span class=\"n\">RecordBatch</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet_by_name": {"fullname": "fastexcel.ExcelReader.load_sheet_by_name", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_by_name", "kind": "function", "doc": "<p>Loads a sheet by name.</p>\n\n<p>Refer to <code>load_sheet</code> for parameter documentation</p>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">name</span><span class=\"p\">:</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"n\">Union</span><span class=\"p\">[</span><span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">],</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">],</span> <span class=\"nb\">str</span><span class=\"p\">,</span> <span class=\"n\">Callable</span><span class=\"p\">[[</span><span class=\"n\">ColumnInfo</span><span class=\"p\">],</span> <span class=\"nb\">bool</span><span class=\"p\">],</span> <span class=\"n\">NoneType</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelSheet</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet_by_idx": {"fullname": "fastexcel.ExcelReader.load_sheet_by_idx", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_by_idx", "kind": "function", "doc": "<p>Loads a sheet by index.</p>\n\n<p>Refer to <code>load_sheet</code> for parameter documentation</p>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"bp\">self</span>,</span><span class=\"param\">\t<span class=\"n\">idx</span><span class=\"p\">:</span> <span class=\"nb\">int</span>,</span><span class=\"param\">\t<span class=\"o\">*</span>,</span><span class=\"param\">\t<span class=\"n\">header_row</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">column_names</span><span class=\"p\">:</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">skip_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">=</span> <span class=\"mi\">0</span>,</span><span class=\"param\">\t<span class=\"n\">n_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">schema_sample_rows</span><span class=\"p\">:</span> <span class=\"nb\">int</span> <span class=\"o\">|</span> <span class=\"kc\">None</span> <span class=\"o\">=</span> <span class=\"mi\">1000</span>,</span><span class=\"param\">\t<span class=\"n\">dtype_coercion</span><span class=\"p\">:</span> <span class=\"n\">Literal</span><span class=\"p\">[</span><span class=\"s1\">&#39;coerce&#39;</span><span class=\"p\">,</span> <span class=\"s1\">&#39;strict&#39;</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;coerce&#39;</span>,</span><span class=\"param\">\t<span class=\"n\">use_columns</span><span class=\"p\">:</span> <span class=\"n\">Union</span><span class=\"p\">[</span><span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">],</span> <span class=\"nb\">list</span><span class=\"p\">[</span><span class=\"nb\">int</span><span class=\"p\">],</span> <span class=\"nb\">str</span><span class=\"p\">,</span> <span class=\"n\">Callable</span><span class=\"p\">[[</span><span class=\"n\">ColumnInfo</span><span class=\"p\">],</span> <span class=\"nb\">bool</span><span class=\"p\">],</span> <span class=\"n\">NoneType</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">dtypes</span><span class=\"p\">:</span> <span class=\"s1\">&#39;DTypeMap | None&#39;</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"n\">fastexcel</span><span class=\"o\">.</span><span class=\"n\">ExcelSheet</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelSheet": {"fullname": "fastexcel.ExcelSheet", "modulename": "fastexcel", "qualname": "ExcelSheet", "kind": "class", "doc": "<p>A class representing a single sheet in an Excel File</p>\n"}, "fastexcel.ExcelSheet.__init__": {"fullname": "fastexcel.ExcelSheet.__init__", "modulename": "fastexcel", "qualname": "ExcelSheet.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">sheet</span><span class=\"p\">:</span> <span class=\"n\">_ExcelSheet</span></span>)</span>"}, "fastexcel.ExcelSheet.name": {"fullname": "fastexcel.ExcelSheet.name", "modulename": "fastexcel", "qualname": "ExcelSheet.name", "kind": "variable", "doc": "<p>The name of the sheet</p>\n", "annotation": ": str"}, "fastexcel.ExcelSheet.width": {"fullname": "fastexcel.ExcelSheet.width", "modulename": "fastexcel", "qualname": "ExcelSheet.width", "kind": "variable", "doc": "<p>The sheet's width</p>\n", "annotation": ": int"}, "fastexcel.ExcelSheet.height": {"fullname": "fastexcel.ExcelSheet.height", "modulename": "fastexcel", "qualname": "ExcelSheet.height", "kind": "variable", "doc": "<p>The sheet's height, with <code>skip_rows</code> and <code>nrows</code> applied</p>\n", "annotation": ": int"}, "fastexcel.ExcelSheet.total_height": {"fullname": "fastexcel.ExcelSheet.total_height", "modulename": "fastexcel", "qualname": "ExcelSheet.total_height", "kind": "variable", "doc": "<p>The sheet's total height</p>\n", "annotation": ": int"}, "fastexcel.ExcelSheet.selected_columns": {"fullname": "fastexcel.ExcelSheet.selected_columns", "modulename": "fastexcel", "qualname": "ExcelSheet.selected_columns", "kind": "variable", "doc": "<p>The sheet's selected columns</p>\n", "annotation": ": list[ColumnInfo]"}, "fastexcel.ExcelSheet.available_columns": {"fullname": "fastexcel.ExcelSheet.available_columns", "modulename": "fastexcel", "qualname": "ExcelSheet.available_columns", "kind": "variable", "doc": "<p>The columns available for the given sheet</p>\n", "annotation": ": list[ColumnInfo]"}, "fastexcel.ExcelSheet.specified_dtypes": {"fullname": "fastexcel.ExcelSheet.specified_dtypes", "modulename": "fastexcel", "qualname": "ExcelSheet.specified_dtypes", "kind": "variable", "doc": "<p>The dtypes specified for the sheet</p>\n", "annotation": ": &#x27;DTypeMap | None&#x27;"}, "fastexcel.ExcelSheet.visible": {"fullname": "fastexcel.ExcelSheet.visible", "modulename": "fastexcel", "qualname": "ExcelSheet.visible", "kind": "variable", "doc": "<p>The visibility of the sheet</p>\n", "annotation": ": Literal[&#x27;visible&#x27;, &#x27;hidden&#x27;, &#x27;veryhidden&#x27;]"}, "fastexcel.ExcelSheet.to_arrow": {"fullname": "fastexcel.ExcelSheet.to_arrow", "modulename": "fastexcel", "qualname": "ExcelSheet.to_arrow", "kind": "function", "doc": "<p>Converts the sheet to a pyarrow <code>RecordBatch</code></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"bp\">self</span></span><span class=\"return-annotation\">) -> <span class=\"n\">pyarrow</span><span class=\"o\">.</span><span class=\"n\">lib</span><span class=\"o\">.</span><span class=\"n\">RecordBatch</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelSheet.to_pandas": {"fullname": "fastexcel.ExcelSheet.to_pandas", "modulename": "fastexcel", "qualname": "ExcelSheet.to_pandas", "kind": "function", "doc": "<p>Converts the sheet to a Pandas <code>DataFrame</code>.</p>\n\n<p>Requires the <code>pandas</code> extra to be installed.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"bp\">self</span></span><span class=\"return-annotation\">) -> <span class=\"n\">pandas</span><span class=\"o\">.</span><span class=\"n\">core</span><span class=\"o\">.</span><span class=\"n\">frame</span><span class=\"o\">.</span><span class=\"n\">DataFrame</span>:</span></span>", "funcdef": "def"}, "fastexcel.ExcelSheet.to_polars": {"fullname": "fastexcel.ExcelSheet.to_polars", "modulename": "fastexcel", "qualname": "ExcelSheet.to_polars", "kind": "function", "doc": "<p>Converts the sheet to a Polars <code>DataFrame</code>.</p>\n\n<p>Requires the <code>polars</code> extra to be installed.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"bp\">self</span></span><span class=\"return-annotation\">) -> <span class=\"n\">polars</span><span class=\"o\">.</span><span class=\"n\">dataframe</span><span class=\"o\">.</span><span class=\"n\">frame</span><span class=\"o\">.</span><span class=\"n\">DataFrame</span>:</span></span>", "funcdef": "def"}, "fastexcel.DTypeFrom": {"fullname": "fastexcel.DTypeFrom", "modulename": "fastexcel", "qualname": "DTypeFrom", "kind": "variable", "doc": "<p></p>\n", "annotation": ": TypeAlias", "default_value": "Literal[&#x27;provided_by_index&#x27;, &#x27;provided_by_name&#x27;, &#x27;guessed&#x27;]"}, "fastexcel.ColumnNameFrom": {"fullname": "fastexcel.ColumnNameFrom", "modulename": "fastexcel", "qualname": "ColumnNameFrom", "kind": "variable", "doc": "<p></p>\n", "annotation": ": TypeAlias", "default_value": "Literal[&#x27;provided&#x27;, &#x27;looked_up&#x27;, &#x27;generated&#x27;]"}, "fastexcel.ColumnInfo": {"fullname": "fastexcel.ColumnInfo", "modulename": "fastexcel", "qualname": "ColumnInfo", "kind": "class", "doc": "<p>This class provides information about a single column in a sheet</p>\n"}, "fastexcel.ColumnInfo.column_name_from": {"fullname": "fastexcel.ColumnInfo.column_name_from", "modulename": "fastexcel", "qualname": "ColumnInfo.column_name_from", "kind": "variable", "doc": "<p><code>fastexcel.ColumnNameFrom</code>. How the name of the column was determined.</p>\n\n<p>One of three possible values:</p>\n\n<ul>\n<li><code>\"provided\"</code>: The column name was provided via the <code>use_columns</code> parameter</li>\n<li><code>\"looked_up\"</code>: The column name was looked up from the data found in the sheet</li>\n<li><code>\"generated\"</code>: The column name was generated from the column index, either because\n<code>header_row</code> was <code>None</code>, or because it could not be looked up</li>\n</ul>\n"}, "fastexcel.ColumnInfo.dtype_from": {"fullname": "fastexcel.ColumnInfo.dtype_from", "modulename": "fastexcel", "qualname": "ColumnInfo.dtype_from", "kind": "variable", "doc": "<p><code>fastexcel.DTypeFrom</code>. How the dtype of the column was determined.</p>\n\n<p>One of three possible values:</p>\n\n<ul>\n<li><code>\"provided_by_index\"</code>: The dtype was specified via the column index</li>\n<li><code>\"provided_by_name\"</code>: The dtype was specified via the column name</li>\n<li><code>\"guessed\"</code>: The dtype was determined from the content of the column</li>\n</ul>\n"}, "fastexcel.ColumnInfo.dtype": {"fullname": "fastexcel.ColumnInfo.dtype", "modulename": "fastexcel", "qualname": "ColumnInfo.dtype", "kind": "variable", "doc": "<p><code>fastexcel.DType</code>. The dtype of the column</p>\n"}, "fastexcel.ColumnInfo.name": {"fullname": "fastexcel.ColumnInfo.name", "modulename": "fastexcel", "qualname": "ColumnInfo.name", "kind": "variable", "doc": "<p><code>str</code>. The name of the column</p>\n"}, "fastexcel.ColumnInfo.index": {"fullname": "fastexcel.ColumnInfo.index", "modulename": "fastexcel", "qualname": "ColumnInfo.index", "kind": "variable", "doc": "<p><code>int</code>. The index of the column</p>\n"}, "fastexcel.FastExcelError": {"fullname": "fastexcel.FastExcelError", "modulename": "fastexcel", "qualname": "FastExcelError", "kind": "class", "doc": "<p>The base class for all fastexcel errors</p>\n", "bases": "builtins.Exception"}, "fastexcel.CannotRetrieveCellDataError": {"fullname": "fastexcel.CannotRetrieveCellDataError", "modulename": "fastexcel", "qualname": "CannotRetrieveCellDataError", "kind": "class", "doc": "<p>Data for a given cell cannot be retrieved</p>\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.CalamineCellError": {"fullname": "fastexcel.CalamineCellError", "modulename": "fastexcel", "qualname": "CalamineCellError", "kind": "class", "doc": "<p>calamine returned an error regarding the content of the cell</p>\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.CalamineError": {"fullname": "fastexcel.CalamineError", "modulename": "fastexcel", "qualname": "CalamineError", "kind": "class", "doc": "<p>Generic calamine 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     // mirrored in build-search-index.js (part 1)
     // Also split on html tags. this is a cheap heuristic, but good enough.