<!-- Generated by documentation.js. Update this documentation by updating the source code. -->

### Table of Contents

-   [DataFrame][1]
    -   [Parameters][2]
    -   [toDSV][3]
        -   [Parameters][4]
        -   [Examples][5]
    -   [toCSV][6]
        -   [Parameters][7]
        -   [Examples][8]
    -   [toTSV][9]
        -   [Parameters][10]
        -   [Examples][11]
    -   [toPSV][12]
        -   [Parameters][13]
        -   [Examples][14]
    -   [toText][15]
        -   [Parameters][16]
        -   [Examples][17]
    -   [toJSON][18]
        -   [Parameters][19]
        -   [Examples][20]
    -   [toDict][21]
        -   [Examples][22]
    -   [toArray][23]
        -   [Parameters][24]
        -   [Examples][25]
    -   [toCollection][26]
        -   [Parameters][27]
        -   [Examples][28]
    -   [show][29]
        -   [Parameters][30]
        -   [Examples][31]
    -   [dim][32]
        -   [Examples][33]
    -   [transpose][34]
        -   [Parameters][35]
        -   [Examples][36]
    -   [count][37]
        -   [Examples][38]
    -   [countValue][39]
        -   [Parameters][40]
        -   [Examples][41]
    -   [push][42]
        -   [Parameters][43]
        -   [Examples][44]
    -   [replace][45]
        -   [Parameters][46]
        -   [Examples][47]
    -   [distinct][48]
        -   [Parameters][49]
        -   [Examples][50]
    -   [unique][51]
        -   [Parameters][52]
        -   [Examples][53]
    -   [listColumns][54]
        -   [Examples][55]
    -   [select][56]
        -   [Parameters][57]
        -   [Examples][58]
    -   [withColumn][59]
        -   [Parameters][60]
        -   [Examples][61]
    -   [restructure][62]
        -   [Parameters][63]
        -   [Examples][64]
    -   [renameAll][65]
        -   [Parameters][66]
        -   [Examples][67]
    -   [rename][68]
        -   [Parameters][69]
        -   [Examples][70]
    -   [castAll][71]
        -   [Parameters][72]
        -   [Examples][73]
    -   [cast][74]
        -   [Parameters][75]
        -   [Examples][76]
    -   [drop][77]
        -   [Parameters][78]
        -   [Examples][79]
    -   [chain][80]
        -   [Parameters][81]
        -   [Examples][82]
    -   [filter][83]
        -   [Parameters][84]
        -   [Examples][85]
    -   [where][86]
        -   [Parameters][87]
        -   [Examples][88]
    -   [find][89]
        -   [Parameters][90]
        -   [Examples][91]
    -   [map][92]
        -   [Parameters][93]
        -   [Examples][94]
    -   [reduce][95]
        -   [Parameters][96]
        -   [Examples][97]
    -   [reduceRight][98]
        -   [Parameters][99]
        -   [Examples][100]
    -   [dropDuplicates][101]
        -   [Parameters][102]
        -   [Examples][103]
    -   [dropMissingValues][104]
        -   [Parameters][105]
        -   [Examples][106]
    -   [fillMissingValues][107]
        -   [Parameters][108]
        -   [Examples][109]
    -   [shuffle][110]
        -   [Examples][111]
    -   [sample][112]
        -   [Parameters][113]
        -   [Examples][114]
    -   [bisect][115]
        -   [Parameters][116]
        -   [Examples][117]
    -   [groupBy][118]
        -   [Parameters][119]
        -   [Examples][120]
    -   [sortBy][121]
        -   [Parameters][122]
        -   [Examples][123]
    -   [union][124]
        -   [Parameters][125]
        -   [Examples][126]
    -   [join][127]
        -   [Parameters][128]
        -   [Examples][129]
    -   [innerJoin][130]
        -   [Parameters][131]
        -   [Examples][132]
    -   [fullJoin][133]
        -   [Parameters][134]
        -   [Examples][135]
    -   [outerJoin][136]
        -   [Parameters][137]
        -   [Examples][138]
    -   [leftJoin][139]
        -   [Parameters][140]
        -   [Examples][141]
    -   [rightJoin][142]
        -   [Parameters][143]
        -   [Examples][144]
    -   [diff][145]
        -   [Parameters][146]
        -   [Examples][147]
    -   [head][148]
        -   [Parameters][149]
        -   [Examples][150]
    -   [tail][151]
        -   [Parameters][152]
        -   [Examples][153]
    -   [slice][154]
        -   [Parameters][155]
        -   [Examples][156]
    -   [getRow][157]
        -   [Parameters][158]
        -   [Examples][159]
    -   [setRow][160]
        -   [Parameters][161]
        -   [Examples][162]
    -   [setDefaultModules][163]
        -   [Parameters][164]
        -   [Examples][165]
    -   [fromDSV][166]
        -   [Parameters][167]
        -   [Examples][168]
    -   [fromText][169]
        -   [Parameters][170]
        -   [Examples][171]
    -   [fromCSV][172]
        -   [Parameters][173]
        -   [Examples][174]
    -   [fromTSV][175]
        -   [Parameters][176]
        -   [Examples][177]
    -   [fromPSV][178]
        -   [Parameters][179]
        -   [Examples][180]
    -   [fromJSON][181]
        -   [Parameters][182]
        -   [Examples][183]

## DataFrame

[src/dataframe.js:11-1246][184]

DataFrame data structure providing an immutable, flexible and powerfull way to manipulate data with columns and rows.

### Parameters

-   `data` **([Array][185] \| [Object][186] \| [DataFrame][187])** The data of the DataFrame.
-   `columns` **[Array][185]** The DataFrame column names.
-   `options` **[Object][186]** Additional options. Example: modules. (optional, default `{}`)

### toDSV

[src/dataframe.js:314-316][188]

Convert the DataFrame into a text delimiter separated values. You can also save the file if you are using nodejs.

#### Parameters

-   `args` **...any** 
-   `sep` **[String][189]** Column separator. (optional, default `' '`)
-   `header` **[Boolean][190]** Writing the header in the first line. If false, there will be no header. (optional, default `true`)
-   `path` **[String][189]?** The path to save the file. /!\\ Works only on node.js, not into the browser.

#### Examples

```javascript
df.toDSV()
df.toDSV(';')
df.toDSV(';', true)
// From node.js only
df.toDSV(';', true, '/my/absolute/path/dataframe.txt')
```

Returns **[String][189]** The text file in raw string.

### toCSV

[src/dataframe.js:329-331][191]

Convert the DataFrame into a comma separated values string. You can also save the file if you are using nodejs.

#### Parameters

-   `args` **...any** 
-   `header` **[Boolean][190]** Writing the header in the first line. If false, there will be no header. (optional, default `true`)
-   `path` **[String][189]?** The path to save the file. /!\\ Works only on node.js, not into the browser.

#### Examples

```javascript
df.toCSV()
df.toCSV(true)
// From node.js only
df.toCSV(true, '/my/absolute/path/dataframe.csv')
```

Returns **[String][189]** The csv file in raw string.

### toTSV

[src/dataframe.js:344-346][192]

Convert the DataFrame into a tab separated values string. You can also save the file if you are using nodejs.

#### Parameters

-   `args` **...any** 
-   `header` **[Boolean][190]** Writing the header in the first line. If false, there will be no header. (optional, default `true`)
-   `path` **[String][189]?** The path to save the file. /!\\ Works only on node.js, not into the browser.

#### Examples

```javascript
df.toCSV()
df.toCSV(true)
// From node.js only
df.toCSV(true, '/my/absolute/path/dataframe.csv')
```

Returns **[String][189]** The csv file in raw string.

### toPSV

[src/dataframe.js:359-361][193]

Convert the DataFrame into a pipe separated values string. You can also save the file if you are using nodejs.

#### Parameters

-   `args` **...any** 
-   `header` **[Boolean][190]** Writing the header in the first line. If false, there will be no header. (optional, default `true`)
-   `path` **[String][189]?** The path to save the file. /!\\ Works only on node.js, not into the browser.

#### Examples

```javascript
df.toPSV()
df.toPSV(true)
// From node.js only
df.toPSV(true, '/my/absolute/path/dataframe.csv')
```

Returns **[String][189]** The csv file in raw string.

### toText

[src/dataframe.js:376-378][194]

Convert the DataFrame into a text delimiter separated values. Alias for .toDSV. You can also save the file if you are using nodejs.

#### Parameters

-   `args` **...any** 
-   `sep` **[String][189]** Column separator. (optional, default `' '`)
-   `header` **[Boolean][190]** Writing the header in the first line. If false, there will be no header. (optional, default `true`)
-   `path` **[String][189]?** The path to save the file. /!\\ Works only on node.js, not into the browser.

#### Examples

```javascript
df.toText()
df.toText(';')
df.toText(';', true)
// From node.js only
df.toText(';', true, '/my/absolute/path/dataframe.txt')
```

Returns **[String][189]** The text file in raw string.

### toJSON

[src/dataframe.js:390-392][195]

Convert the DataFrame into a json string. You can also save the file if you are using nodejs.

#### Parameters

-   `args` **...any** 
-   `asCollection` **[Boolean][190]** Writing the JSON as collection of Object. (optional, default `false`)
-   `path` **[String][189]?** The path to save the file. /!\\ Works only on node.js, not into the browser.

#### Examples

```javascript
df.toJSON()
// From node.js only
df.toJSON('/my/absolute/path/dataframe.json')
```

Returns **[String][189]** The json file in raw string.

### toDict

[src/dataframe.js:400-407][196]

Convert DataFrame into dict / hash / object.

#### Examples

```javascript
df.toDict()
```

Returns **[Object][186]** The DataFrame converted into dict.

### toArray

[src/dataframe.js:416-420][197]

Convert DataFrame into Array of Arrays. You can also extract only one column as Array.

#### Parameters

-   `columnName` **[String][189]?** Column Name to extract. By default, all columns are transformed.

#### Examples

```javascript
df.toArray()
```

Returns **[Array][185]** The DataFrame (or the column) converted into Array.

### toCollection

[src/dataframe.js:429-433][198]

Convert DataFrame into Array of dictionnaries. You can also return Rows instead of dictionnaries.

#### Parameters

-   `ofRows` **[Boolean][190]?** Return a collection of Rows instead of dictionnaries.

#### Examples

```javascript
df.toCollection()
```

Returns **[Array][185]** The DataFrame converted into Array of dictionnaries (or Rows).

### show

[src/dataframe.js:445-474][199]

Display the DataFrame as String Table. Can only return a sring instead of displaying the DataFrame.

#### Parameters

-   `rows` **[Number][200]** The number of lines to display. (optional, default `10`)
-   `quiet` **[Boolean][190]** Quiet mode. If true, only returns a string instead of console.log(). (optional, default `false`)

#### Examples

```javascript
df.show()
df.show(10)
const stringDF = df.show(10, true)
```

Returns **[String][189]** The DataFrame as String Table.

### dim

[src/dataframe.js:482-484][201]

Get the DataFrame dimensions.

#### Examples

```javascript
const [height, width] = df.dim()
```

Returns **[Array][185]** The DataFrame dimensions. [height, width]

### transpose

[src/dataframe.js:493-508][202]

Transpose a DataFrame. Rows become columns and conversely. n x p => p x n.

#### Parameters

-   `tranposeColumnNames`  
-   `transposeColumnNames` **[Boolean][190]** An option to transpose columnNames in a rowNames column. (optional, default `false`)

#### Examples

```javascript
df.transpose()
```

Returns **ÐataFrame** A new transposed DataFrame.

### count

[src/dataframe.js:516-518][203]

Get the rows number.

#### Examples

```javascript
df.count()
```

Returns **Int** The number of DataFrame rows.

### countValue

[src/dataframe.js:529-533][204]

Get the count of a value into a column.

#### Parameters

-   `valueToCount`  The value to count into the selected column.
-   `columnName` **[String][189]** The column to count the value. (optional, default `this.listColumns()[0]`)

#### Examples

```javascript
df.countValue(5, 'column2')
df.select('column1').countValue(5)
```

Returns **Int** The number of times the selected value appears.

### push

[src/dataframe.js:542-544][205]

Push new rows into the DataFrame.

#### Parameters

-   `rows` **([Array][185] | Row)** The rows to add.

#### Examples

```javascript
df.push([1,2,3], [1,4,9])
```

Returns **[DataFrame][187]** A new DataFrame with the new rows.

### replace

[src/dataframe.js:555-568][206]

Replace a value by another in all the DataFrame or in a column.

#### Parameters

-   `value`  The value to replace.
-   `replacement`  The new value.
-   `columnNames` **([String][189] \| [Array][185])** The columns to apply the replacement. (optional, default `this.listColumns()`)

#### Examples

```javascript
df.replace(undefined, 0, 'column1', 'column2')
```

Returns **[DataFrame][187]** A new DataFrame with replaced values.

### distinct

[src/dataframe.js:577-582][207]

Compute unique values into a column.

#### Parameters

-   `columnName` **[String][189]** The column to distinct.

#### Examples

```javascript
df.distinct('column1')
```

Returns **[DataFrame][187]** A DataFrame containing the column with distinct values.

### unique

[src/dataframe.js:592-594][208]

Compute unique values into a column.
Alias from .distinct()

#### Parameters

-   `columnName` **[String][189]** The column to distinct.

#### Examples

```javascript
df.unique('column1')
```

Returns **[DataFrame][187]** A DataFrame containing the column with distinct values.

### listColumns

[src/dataframe.js:602-604][209]

List DataFrame columns.

#### Examples

```javascript
df.listColumns()
```

Returns **[Array][185]** An Array containing DataFrame columnNames.

### select

[src/dataframe.js:613-618][210]

Select columns in the DataFrame.

#### Parameters

-   `columnNames` **...[String][189]** The columns to select.

#### Examples

```javascript
df.select('column1', 'column3')
```

Returns **[DataFrame][187]** A new DataFrame containing selected columns.

### withColumn

[src/dataframe.js:629-638][211]

Add a new column or set an existing one.

#### Parameters

-   `columnName` **[String][189]** The column to modify or to create.
-   `func` **[Function][212]** The function to create the column. (optional, default `(row,index)=>undefined`)

#### Examples

```javascript
df.withColumn('column4', () => 2)
df.withColumn('column2', (row) => row.get('column2') * 2)
```

Returns **[DataFrame][187]** A new DataFrame containing the new or modified column.

### restructure

[src/dataframe.js:649-651][213]

Modify the structure of the DataFrame by changing columns order, creating new columns or removing some columns.

#### Parameters

-   `newColumnNames` **[Array][185]** The new columns of the DataFrame.

#### Examples

```javascript
df.restructure(['column1', 'column4', 'column2', 'column3'])
df.restructure(['column1', 'column4'])
df.restructure(['column1', 'newColumn', 'column4'])
```

Returns **[DataFrame][187]** A new DataFrame with restructured columns (renamed, add or deleted).

### renameAll

[src/dataframe.js:660-665][214]

Rename each column.

#### Parameters

-   `newColumnNames` **[Array][185]** The new column names of the DataFrame.

#### Examples

```javascript
df.renameAll(['column1', 'column3', 'column4'])
```

Returns **[DataFrame][187]** A new DataFrame with the new column names.

### rename

[src/dataframe.js:675-680][215]

Rename a column.

#### Parameters

-   `columnName` **[String][189]** The column to rename.
-   `replacement` **[String][189]** The new name for the column.

#### Examples

```javascript
df.rename('column1', 'columnRenamed')
```

Returns **[DataFrame][187]** A new DataFrame with the new column name.

### castAll

[src/dataframe.js:689-702][216]

Cast each column into a given type.

#### Parameters

-   `typeFunctions` **[Array][185]** The functions used to cast columns.

#### Examples

```javascript
df.castAll([Number, String, (val) => new CustomClass(val)])
```

Returns **[DataFrame][187]** A new DataFrame with the columns having new types.

### cast

[src/dataframe.js:713-717][217]

Cast a column into a given type.

#### Parameters

-   `columnName` **[String][189]** The column to cast.
-   `typeFunction`  
-   `ObjectType` **[Function][212]** The function used to cast the column.

#### Examples

```javascript
df.cast('column1', Number)
df.cast('column1', (val) => new MyCustomClass(val))
```

Returns **[DataFrame][187]** A new DataFrame with the column having a new type.

### drop

[src/dataframe.js:726-731][218]

Remove a single column.

#### Parameters

-   `columnName` **[String][189]** The column to drop.

#### Examples

```javascript
df.drop('column2')
```

Returns **[DataFrame][187]** A new DataFrame without the dropped column.

### chain

[src/dataframe.js:746-751][219]

Chain maps and filters functions on DataFrame by optimizing their executions.
If a function returns boolean, it's a filter. Else it's a map.
It can be 10 - 100 x faster than standard chains of .map() and .filter().

#### Parameters

-   `funcs` **...[Function][212]** Functions to apply on the DataFrame rows taking the row as parameter.

#### Examples

```javascript
df.chain(
     row => row.get('column1') > 3, // filter
     row => row.set('column1', 3),  // map
     row => row.get('column2') === '5' // filter
)
```

Returns **[DataFrame][187]** A new DataFrame with modified rows.

### filter

[src/dataframe.js:761-775][220]

Filter DataFrame rows.

#### Parameters

-   `condition` **([Function][212] \| [Object][186])** A filter function or a column/value object.

#### Examples

```javascript
df.filter(row => row.get('column1') >= 3)
df.filter({'column2': 5, 'column1': 3}))
```

Returns **[DataFrame][187]** A new filtered DataFrame.

### where

[src/dataframe.js:786-788][221]

Filter DataFrame rows.
Alias of .filter()

#### Parameters

-   `condition` **([Function][212] \| [Object][186])** A filter function or a column/value object.

#### Examples

```javascript
df.where(row => row.get('column1') >= 3)
df.where({'column2': 5, 'column1': 3}))
```

Returns **[DataFrame][187]** A new filtered DataFrame.

### find

[src/dataframe.js:798-800][222]

Find a row (the first met) based on a condition.

#### Parameters

-   `condition` **([Function][212] \| [Object][186])** A filter function or a column/value object.

#### Examples

```javascript
df.find(row => row.get('column1') === 3)
df.find({'column1': 3})
```

Returns **Row** The targeted Row.

### map

[src/dataframe.js:809-814][223]

Map on DataFrame rows. /!\\ Prefer to use .chain().

#### Parameters

-   `func` **[Function][212]** A function to apply on each row taking the row as parameter.

#### Examples

```javascript
df.map(row => row.set('column1', row.get('column1') * 2))
```

Returns **[DataFrame][187]** A new DataFrame with modified rows.

### reduce

[src/dataframe.js:828-832][224]

Reduce DataFrame into a value.

#### Parameters

-   `func` **[Function][212]** The reduce function taking 2 parameters, previous and next.
-   `init`  The initial value of the reducer.

#### Examples

```javascript
df.reduce((p, n) => n.get('column1') + p, 0)
df2.reduce((p, n) => (
         n.set('column1', p.get('column1') + n.get('column1'))
          .set('column2', p.get('column2') + n.get('column2'))
))
```

Returns **any** A reduced value.

### reduceRight

[src/dataframe.js:842-846][225]

Reduce DataFrame into a value, starting from the last row (see .reduce()).

#### Parameters

-   `func` **[Function][212]** The reduce function taking 2 parameters, previous and next.
-   `init`  The initial value of the reducer.

#### Examples

```javascript
df.reduceRight((p, n) => p > n ? p : n, 0)
```

Returns **any** A reduced value.

### dropDuplicates

[src/dataframe.js:855-861][226]

Return a DataFrame without duplicated columns.

#### Parameters

-   `columnNames` **...[String][189]** The columns used to check unicity of rows. If omitted, unicity is checked on all columns.

#### Examples

```javascript
df.dropDuplicates('id', 'name')
```

Returns **[DataFrame][187]** A DataFrame without duplicated rows.

### dropMissingValues

[src/dataframe.js:870-884][227]

Return a DataFrame without rows containing missing values (undefined, NaN, null).

#### Parameters

-   `columnNames` **[Array][185]** The columns to consider. All columns are considered by default.

#### Examples

```javascript
df.dropMissingValues(['id', 'name'])
```

Returns **[DataFrame][187]** A DataFrame without rows containing missing values.

### fillMissingValues

[src/dataframe.js:894-896][228]

Return a DataFrame with missing values (undefined, NaN, null) fill with default value.

#### Parameters

-   `replacement`  The new value.
-   `columnNames` **[Array][185]** The columns to consider. All columns are considered by default.

#### Examples

```javascript
df.fillMissingValues(0, ['id', 'name'])
```

Returns **[DataFrame][187]** A DataFrame with missing values replaced.

### shuffle

[src/dataframe.js:904-915][229]

Return a shuffled DataFrame rows.

#### Examples

```javascript
df.shuffle()
```

Returns **[DataFrame][187]** A shuffled DataFrame.

### sample

[src/dataframe.js:924-938][230]

Return a random sample of rows.

#### Parameters

-   `percentage` **[Number][200]** A percentage of the orignal DataFrame giving the sample size.

#### Examples

```javascript
df.sample(0.3)
```

Returns **[DataFrame][187]** A sample DataFrame

### bisect

[src/dataframe.js:947-964][231]

Randomly split a DataFrame into 2 DataFrames.

#### Parameters

-   `percentage` **[Number][200]** A percentage of the orignal DataFrame giving the first DataFrame size. The second takes the rest.

#### Examples

```javascript
const [30DF, 70DF] = df.bisect(0.3)
```

Returns **[Array][185]** An Array containing the two DataFrames. First, the X% DataFrame then the rest DataFrame.

### groupBy

[src/dataframe.js:977-979][232]

Group DataFrame rows by columns giving a GroupedDataFrame object. See its doc for more examples.

#### Parameters

-   `args` **...any** 
-   `columnNames` **...[String][189]** The columns used for the groupBy.

#### Examples

```javascript
df.groupBy('column1')
df.groupBy('column1', 'column2')
df.groupBy('column1', 'column2').listGroups()
df.groupBy('column1', 'column2').show()
df.groupBy('column1', 'column2').aggregate((group) => group.count())
```

Returns **GroupedDataFrame** A GroupedDataFrame object.

### sortBy

[src/dataframe.js:992-1056][233]

Sort DataFrame rows based on column values. The row should contains only one variable type. Columns are sorted left-to-right.

#### Parameters

-   `columnNames` **([String][189] \| [Array][185]&lt;[string][189]>)** The columns giving order.
-   `reverse` **[Boolean][190]** Reverse mode. Reverse the order if true. (optional, default `false`)
-   `missingValuesPosition` **[String][189]** Define the position of missing values (undefined, nulls and NaN) in the order. (optional, default `'first'`)

#### Examples

```javascript
df.sortBy('id')
df.sortBy(['id1', 'id2'])
df.sortBy(['id1'], true)
```

Returns **[DataFrame][187]** An ordered DataFrame.

### union

[src/dataframe.js:1065-1078][234]

Concat two DataFrames.

#### Parameters

-   `dfToUnion` **[DataFrame][187]** The DataFrame to concat.

#### Examples

```javascript
df.union(df2)
```

Returns **[DataFrame][187]** A new concatenated DataFrame resulting of the union.

### join

[src/dataframe.js:1089-1098][235]

Join two DataFrames.

#### Parameters

-   `dfToJoin` **[DataFrame][187]** The DataFrame to join.
-   `columnNames` **([String][189] \| [Array][185])** The selected columns for the join.
-   `how` **[String][189]** The join mode. Can be: full, inner, outer, left, right. (optional, default `'inner'`)

#### Examples

```javascript
df.join(df2, 'column1', 'full')
```

Returns **[DataFrame][187]** The joined DataFrame.

### innerJoin

[src/dataframe.js:1110-1112][236]

Join two DataFrames with inner mode.

#### Parameters

-   `dfToJoin` **[DataFrame][187]** The DataFrame to join.
-   `columnNames` **([String][189] \| [Array][185])** The selected columns for the join.

#### Examples

```javascript
df.innerJoin(df2, 'id')
df.join(df2, 'id')
df.join(df2, 'id', 'inner')
```

Returns **[DataFrame][187]** The joined DataFrame.

### fullJoin

[src/dataframe.js:1123-1125][237]

Join two DataFrames with full mode.

#### Parameters

-   `dfToJoin` **[DataFrame][187]** The DataFrame to join.
-   `columnNames` **([String][189] \| [Array][185])** The selected columns for the join.

#### Examples

```javascript
df.fullJoin(df2, 'id')
df.join(df2, 'id', 'full')
```

Returns **[DataFrame][187]** The joined DataFrame.

### outerJoin

[src/dataframe.js:1136-1138][238]

Join two DataFrames with outer mode.

#### Parameters

-   `dfToJoin` **[DataFrame][187]** The DataFrame to join.
-   `columnNames` **([String][189] \| [Array][185])** The selected columns for the join.

#### Examples

```javascript
df2.outerJoin(df2, 'id')
df2.join(df2, 'id', 'outer')
```

Returns **[DataFrame][187]** The joined DataFrame.

### leftJoin

[src/dataframe.js:1149-1151][239]

Join two DataFrames with left mode.

#### Parameters

-   `dfToJoin` **[DataFrame][187]** The DataFrame to join.
-   `columnNames` **([String][189] \| [Array][185])** The selected columns for the join.

#### Examples

```javascript
df.leftJoin(df2, 'id')
df.join(df2, 'id', 'left')
```

Returns **[DataFrame][187]** The joined DataFrame.

### rightJoin

[src/dataframe.js:1162-1164][240]

Join two DataFrames with right mode.

#### Parameters

-   `dfToJoin` **[DataFrame][187]** The DataFrame to join.
-   `columnNames` **([String][189] \| [Array][185])** The selected columns for the join.

#### Examples

```javascript
df.rightJoin(df2, 'id')
df.join(df2, 'id', 'right')
```

Returns **[DataFrame][187]** The joined DataFrame.

### diff

[src/dataframe.js:1174-1176][241]

Find the differences between two DataFrames (reverse of join).

#### Parameters

-   `dfToDiff` **[DataFrame][187]** The DataFrame to diff.
-   `columnNames` **([String][189] \| [Array][185])** The selected columns for the diff.

#### Examples

```javascript
df2.diff(df2, 'id')
```

Returns **[DataFrame][187]** The differences DataFrame.

### head

[src/dataframe.js:1186-1188][242]

Create a new subset DataFrame based on the first rows.

#### Parameters

-   `nRows` **[Number][200]** The number of first rows to get. (optional, default `10`)

#### Examples

```javascript
df2.head()
df2.head(5)
```

Returns **[DataFrame][187]** The subset DataFrame.

### tail

[src/dataframe.js:1198-1200][243]

Create a new subset DataFrame based on the last rows.

#### Parameters

-   `nRows` **[Number][200]** The number of last rows to get. (optional, default `10`)

#### Examples

```javascript
df2.tail()
df2.tail(5)
```

Returns **[DataFrame][187]** The subset DataFrame.

### slice

[src/dataframe.js:1213-1221][244]

Create a new subset DataFrame based on given indexs. Similar to Array.slice.

#### Parameters

-   `startIndex` **[Number][200]** The index to start the slice (included). (optional, default `0`)
-   `endIndex` **[Number][200]** The index to end the slice (excluded). (optional, default `this.count()`)

#### Examples

```javascript
df2.slice()
df2.slice(0)
df2.slice(0, 20)
df2.slice(10, 30)
```

Returns **[DataFrame][187]** The subset DataFrame.

### getRow

[src/dataframe.js:1230-1232][245]

Return a Row by its index.

#### Parameters

-   `index` **[Number][200]** The index to select the row. (optional, default `0`)

#### Examples

```javascript
df2.getRow(1)
```

Returns **Row** The Row.

### setRow

[src/dataframe.js:1241-1245][246]

Modify a Row a the given index.

#### Parameters

-   `index` **[Number][200]** The index to select the row. (optional, default `0`)
-   `func`   (optional, default `row=>row`)

#### Examples

```javascript
df2.setRowByIndex(1, row => row.set("column1", 33))
```

Returns **[DataFrame][187]** A new DataFrame with the modified Row.

### setDefaultModules

[src/dataframe.js:18-20][247]

Set the default modules used in DataFrame instances.

#### Parameters

-   `defaultModules` **...[Object][186]** DataFrame modules used by default.

#### Examples

```javascript
DataFrame.setDefaultModules(SQL, Stat)
```

### fromDSV

[src/dataframe.js:35-37][248]

Create a DataFrame from a delimiter separated values text file. It returns a Promise.

#### Parameters

-   `args` **...any** 
-   `pathOrFile` **([String][189] | File)** A path to the file (url or local) or a browser File object.
-   `sep` **[String][189]** The separator used to parse the file.
-   `header` **[Boolean][190]** A boolean indicating if the text has a header or not. (optional, default `true`)

#### Examples

```javascript
DataFrame.fromDSV('http://myurl/myfile.txt').then(df => df.show())
// In browser Only
DataFrame.fromDSV(myFile).then(df => df.show())
// From node.js only Only
DataFrame.fromDSV('/my/absolue/path/myfile.txt').then(df => df.show())
DataFrame.fromDSV('/my/absolue/path/myfile.txt', ';', true).then(df => df.show())
```

### fromText

[src/dataframe.js:52-54][249]

Create a DataFrame from a delimiter separated values text file. It returns a Promise. Alias of DataFrame.fromDSV.

#### Parameters

-   `args` **...any** 
-   `pathOrFile` **([String][189] | File)** A path to the file (url or local) or a browser File object.
-   `sep` **[String][189]** The separator used to parse the file.
-   `header` **[Boolean][190]** A boolean indicating if the text has a header or not. (optional, default `true`)

#### Examples

```javascript
DataFrame.fromText('http://myurl/myfile.txt').then(df => df.show())
// In browser Only
DataFrame.fromText(myFile).then(df => df.show())
// From node.js only Only
DataFrame.fromText('/my/absolue/path/myfile.txt').then(df => df.show())
DataFrame.fromText('/my/absolue/path/myfile.txt', ';', true).then(df => df.show())
```

### fromCSV

[src/dataframe.js:68-70][250]

Create a DataFrame from a comma separated values file. It returns a Promise.

#### Parameters

-   `args` **...any** 
-   `pathOrFile` **([String][189] | File)** A path to the file (url or local) or a browser File object.
-   `header` **[Boolean][190]** A boolean indicating if the csv has a header or not. (optional, default `true`)

#### Examples

```javascript
DataFrame.fromCSV('http://myurl/myfile.csv').then(df => df.show())
// For browser only
DataFrame.fromCSV(myFile).then(df => df.show())
// From node.js only
DataFrame.fromCSV('/my/absolue/path/myfile.csv').then(df => df.show())
DataFrame.fromCSV('/my/absolue/path/myfile.csv', true).then(df => df.show())
```

### fromTSV

[src/dataframe.js:84-86][251]

Create a DataFrame from a tab separated values file. It returns a Promise.

#### Parameters

-   `args` **...any** 
-   `pathOrFile` **([String][189] | File)** A path to the file (url or local) or a browser File object.
-   `header` **[Boolean][190]** A boolean indicating if the tsv has a header or not. (optional, default `true`)

#### Examples

```javascript
DataFrame.fromTSV('http://myurl/myfile.tsv').then(df => df.show())
// For browser only
DataFrame.fromTSV(myFile).then(df => df.show())
// From node.js only
DataFrame.fromTSV('/my/absolue/path/myfile.tsv').then(df => df.show())
DataFrame.fromTSV('/my/absolue/path/myfile.tsv', true).then(df => df.show())
```

### fromPSV

[src/dataframe.js:100-102][252]

Create a DataFrame from a pipe separated values file. It returns a Promise.

#### Parameters

-   `args` **...any** 
-   `pathOrFile` **([String][189] | File)** A path to the file (url or local) or a browser File object.
-   `header` **[Boolean][190]** A boolean indicating if the psv has a header or not. (optional, default `true`)

#### Examples

```javascript
DataFrame.fromPSV('http://myurl/myfile.psv').then(df => df.show())
// For browser only
DataFrame.fromPSV(myFile).then(df => df.show())
// From node.js only
DataFrame.fromPSV('/my/absolue/path/myfile.psv').then(df => df.show())
DataFrame.fromPSV('/my/absolue/path/myfile.psv', true).then(df => df.show())
```

### fromJSON

[src/dataframe.js:114-116][253]

Create a DataFrame from a JSON file. It returns a Promise.

#### Parameters

-   `args` **...any** 
-   `pathOrFile` **([String][189] | File)** A path to the file (url or local) or a browser File object.

#### Examples

```javascript
DataFrame.fromJSON('http://myurl/myfile.json').then(df => df.show())
// For browser only
DataFrame.fromJSON(myFile).then(df => df.show())
// From node.js only
DataFrame.fromJSON('/my/absolute/path/myfile.json').then(df => df.show())
```

[1]: #dataframe

[2]: #parameters

[3]: #todsv

[4]: #parameters-1

[5]: #examples

[6]: #tocsv

[7]: #parameters-2

[8]: #examples-1

[9]: #totsv

[10]: #parameters-3

[11]: #examples-2

[12]: #topsv

[13]: #parameters-4

[14]: #examples-3

[15]: #totext

[16]: #parameters-5

[17]: #examples-4

[18]: #tojson

[19]: #parameters-6

[20]: #examples-5

[21]: #todict

[22]: #examples-6

[23]: #toarray

[24]: #parameters-7

[25]: #examples-7

[26]: #tocollection

[27]: #parameters-8

[28]: #examples-8

[29]: #show

[30]: #parameters-9

[31]: #examples-9

[32]: #dim

[33]: #examples-10

[34]: #transpose

[35]: #parameters-10

[36]: #examples-11

[37]: #count

[38]: #examples-12

[39]: #countvalue

[40]: #parameters-11

[41]: #examples-13

[42]: #push

[43]: #parameters-12

[44]: #examples-14

[45]: #replace

[46]: #parameters-13

[47]: #examples-15

[48]: #distinct

[49]: #parameters-14

[50]: #examples-16

[51]: #unique

[52]: #parameters-15

[53]: #examples-17

[54]: #listcolumns

[55]: #examples-18

[56]: #select

[57]: #parameters-16

[58]: #examples-19

[59]: #withcolumn

[60]: #parameters-17

[61]: #examples-20

[62]: #restructure

[63]: #parameters-18

[64]: #examples-21

[65]: #renameall

[66]: #parameters-19

[67]: #examples-22

[68]: #rename

[69]: #parameters-20

[70]: #examples-23

[71]: #castall

[72]: #parameters-21

[73]: #examples-24

[74]: #cast

[75]: #parameters-22

[76]: #examples-25

[77]: #drop

[78]: #parameters-23

[79]: #examples-26

[80]: #chain

[81]: #parameters-24

[82]: #examples-27

[83]: #filter

[84]: #parameters-25

[85]: #examples-28

[86]: #where

[87]: #parameters-26

[88]: #examples-29

[89]: #find

[90]: #parameters-27

[91]: #examples-30

[92]: #map

[93]: #parameters-28

[94]: #examples-31

[95]: #reduce

[96]: #parameters-29

[97]: #examples-32

[98]: #reduceright

[99]: #parameters-30

[100]: #examples-33

[101]: #dropduplicates

[102]: #parameters-31

[103]: #examples-34

[104]: #dropmissingvalues

[105]: #parameters-32

[106]: #examples-35

[107]: #fillmissingvalues

[108]: #parameters-33

[109]: #examples-36

[110]: #shuffle

[111]: #examples-37

[112]: #sample

[113]: #parameters-34

[114]: #examples-38

[115]: #bisect

[116]: #parameters-35

[117]: #examples-39

[118]: #groupby

[119]: #parameters-36

[120]: #examples-40

[121]: #sortby

[122]: #parameters-37

[123]: #examples-41

[124]: #union

[125]: #parameters-38

[126]: #examples-42

[127]: #join

[128]: #parameters-39

[129]: #examples-43

[130]: #innerjoin

[131]: #parameters-40

[132]: #examples-44

[133]: #fulljoin

[134]: #parameters-41

[135]: #examples-45

[136]: #outerjoin

[137]: #parameters-42

[138]: #examples-46

[139]: #leftjoin

[140]: #parameters-43

[141]: #examples-47

[142]: #rightjoin

[143]: #parameters-44

[144]: #examples-48

[145]: #diff

[146]: #parameters-45

[147]: #examples-49

[148]: #head

[149]: #parameters-46

[150]: #examples-50

[151]: #tail

[152]: #parameters-47

[153]: #examples-51

[154]: #slice

[155]: #parameters-48

[156]: #examples-52

[157]: #getrow

[158]: #parameters-49

[159]: #examples-53

[160]: #setrow

[161]: #parameters-50

[162]: #examples-54

[163]: #setdefaultmodules

[164]: #parameters-51

[165]: #examples-55

[166]: #fromdsv

[167]: #parameters-52

[168]: #examples-56

[169]: #fromtext

[170]: #parameters-53

[171]: #examples-57

[172]: #fromcsv

[173]: #parameters-54

[174]: #examples-58

[175]: #fromtsv

[176]: #parameters-55

[177]: #examples-59

[178]: #frompsv

[179]: #parameters-56

[180]: #examples-60

[181]: #fromjson

[182]: #parameters-57

[183]: #examples-61

[184]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L11-L1246 "Source code on GitHub"

[185]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array

[186]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object

[187]: #dataframe

[188]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L314-L316 "Source code on GitHub"

[189]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String

[190]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Boolean

[191]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L329-L331 "Source code on GitHub"

[192]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L344-L346 "Source code on GitHub"

[193]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L359-L361 "Source code on GitHub"

[194]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L376-L378 "Source code on GitHub"

[195]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L390-L392 "Source code on GitHub"

[196]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L400-L407 "Source code on GitHub"

[197]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L416-L420 "Source code on GitHub"

[198]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L429-L433 "Source code on GitHub"

[199]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L445-L474 "Source code on GitHub"

[200]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number

[201]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L482-L484 "Source code on GitHub"

[202]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L493-L508 "Source code on GitHub"

[203]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L516-L518 "Source code on GitHub"

[204]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L529-L533 "Source code on GitHub"

[205]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L542-L544 "Source code on GitHub"

[206]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L555-L568 "Source code on GitHub"

[207]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L577-L582 "Source code on GitHub"

[208]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L592-L594 "Source code on GitHub"

[209]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L602-L604 "Source code on GitHub"

[210]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L613-L618 "Source code on GitHub"

[211]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L629-L638 "Source code on GitHub"

[212]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Statements/function

[213]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L649-L651 "Source code on GitHub"

[214]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L660-L665 "Source code on GitHub"

[215]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L675-L680 "Source code on GitHub"

[216]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L689-L702 "Source code on GitHub"

[217]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L713-L717 "Source code on GitHub"

[218]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L726-L731 "Source code on GitHub"

[219]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L746-L751 "Source code on GitHub"

[220]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L761-L775 "Source code on GitHub"

[221]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L786-L788 "Source code on GitHub"

[222]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L798-L800 "Source code on GitHub"

[223]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L809-L814 "Source code on GitHub"

[224]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L828-L832 "Source code on GitHub"

[225]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L842-L846 "Source code on GitHub"

[226]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L855-L861 "Source code on GitHub"

[227]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L870-L884 "Source code on GitHub"

[228]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L894-L896 "Source code on GitHub"

[229]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L904-L915 "Source code on GitHub"

[230]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L924-L938 "Source code on GitHub"

[231]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L947-L964 "Source code on GitHub"

[232]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L977-L979 "Source code on GitHub"

[233]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L992-L1056 "Source code on GitHub"

[234]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1065-L1078 "Source code on GitHub"

[235]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1089-L1098 "Source code on GitHub"

[236]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1110-L1112 "Source code on GitHub"

[237]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1123-L1125 "Source code on GitHub"

[238]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1136-L1138 "Source code on GitHub"

[239]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1149-L1151 "Source code on GitHub"

[240]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1162-L1164 "Source code on GitHub"

[241]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1174-L1176 "Source code on GitHub"

[242]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1186-L1188 "Source code on GitHub"

[243]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1198-L1200 "Source code on GitHub"

[244]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1213-L1221 "Source code on GitHub"

[245]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1230-L1232 "Source code on GitHub"

[246]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L1241-L1245 "Source code on GitHub"

[247]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L18-L20 "Source code on GitHub"

[248]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L35-L37 "Source code on GitHub"

[249]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L52-L54 "Source code on GitHub"

[250]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L68-L70 "Source code on GitHub"

[251]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L84-L86 "Source code on GitHub"

[252]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L100-L102 "Source code on GitHub"

[253]: https://github.com/Gmousse/dataframe-js/blob/add47391719e84537fdc30c80f762b3a8b38ba9a/src/dataframe.js#L114-L116 "Source code on GitHub"