* Returns the dtype for a given column name * @param column

* Internal function to set the column names for the NDFrame. This function * performs a check to ensure that the column names are unique, and sam

* Internal function to set the Dtypes of the NDFrame from an array. This function * performs the necessary checks.

* Internal function to set the index of the NDFrame with the specified * array of indices. Performs all necessary checks to ensure that the

* Checks if two series are compatible for a mathematical operation * @param object * * firstSeries ==> First Series object *

* Return number of non-null elements in a Series * @example * ``` * const sf = new Series([1, 2, 3, 4, 5, 6]); * console.l

* Generate columns for the newly generated merged DataFrame * e.g df = { * key1: ["KO", "K0", "K3", "K4"], * Key2: ["K1", "K1", "K3", "K5"]

* Fits a OneHotEncoder to the data. * @param data 1d array of labels, Tensor, or Series to be encoded. * @returns OneHotEncoder * @exa

* Fit a StandardScaler to the data. * @param data Array, Tensor, DataFrame or Series object * @returns StandardScaler * @example *

* Fits a MinMaxScaler to the data * @param data Array, Tensor, DataFrame or Series object * @returns MinMaxScaler * @example * con

* Generate group object data needed for group operations * let data = [ [ 1, 2, 3 ], [ 4, 5, 6 ], [ 20, 30, 40 ], [ 39, 89, 78 ] ]; * let cols =

* Generate Key for basic method, * the key geneerated is the intersection of * leftKeyDict and rightKeyDict * @param leftKeyDict * @param

* Return a boolean same-sized object indicating where elements are NaN. * NaN and undefined values gets mapped to true, and everything else gets

* The key is the leftKeyDict * @param leftKeyDict * @param rightKeyDict

* Access a group of rows and columns by label(s) or a boolean array. * ``loc`` is primarily label based, but may also be used with a boolean arra

* Maps boolean values (false, true) to integer equivalent (0, 1) * @param arr The array of booleans * @param dim The dimension of the array

* Returns the maximum value in a Series * @example * ``` * const sf = new Series([1, 2, 3, 4, 5, 6]); * console.log(sf.max());

* Returns the mean of elements in Series. * @example * ``` * const sf = new Series([1, 2, 3, 4, 5, 6]); * console.log(sf.mean());

* Returns the median of elements in Series * @example * ``` * const sf = new Series([1, 2, 3, 4, 5, 6]); * console.log(sf.medi

* Returns the minimum value in a Series * @example * ``` * const sf = new Series([1, 2, 3, 4, 5, 6]); * console.log(sf.min());

* Perform the merge operation * 1) Obtain both left and right dataframe values * 2) Generate the leftkeyDict and rightKeyDict * 3) Generate n

* Generate outer key from leftKeyDict and rightKeyDict * The Key pass into basic method is the union of * leftKeyDict and rightKeyDict * @par

* * @param dfList Array<DataFrame | Series> * @param axis number * @returns DataFrame

* Concat data along rows * @param dfList Array<DataFrame | Series> * @param axis Array<DataFrame | Series> * @returns DataFrame

* The key is the rightKeyDict * @param leftKeyDict * @param rightKeyDict

* Returns the index of a sorted array * @param arr1 The first array * @param arr2 The second array * @param dtype The data type of the

* Return sample standard deviation of elements in Series * @example * ``` * const sf = new Series([1, 2, 3, 4, 5, 6]); * conso

* Converts a Series to Excel file format. * @param options Configuration object. Supported options: * - `sheetName`: The sheet name to be w

* Encodes the data using the fitted OneHotEncoder. * @param data 1d array of labels, Tensor, or Series to be encoded. * @example * ```

* Transform the data using the fitted scaler * @param data Array, Tensor, DataFrame or Series object * @returns Array, Tensor, DataFrame or

* Transform the data using the fitted scaler * @param data Array, Tensor, DataFrame or Series object * @returns Array, Tensor, DataFrame or

* Return unbiased variance of elements in a Series. * @example * ``` * const sf = new Series([1, 2, 3, 4, 5, 6]); * console.l

* Internal function to reset the index of the NDFrame using a range of indices.

* Internal function to set the configuration of the ndframe

* Returns the Transpose of the DataFrame. Similar to `transpose`. * @example * ``` * const df = new DataFrame([[1, 2], [3, 4]], { colum

* Returns the logical AND between Series and other. Supports element wise operations and broadcasting. * @param other Series, Scalar, Array of S

* Apply a function along an axis of the DataFrame. To apply a function element-wise, use `applyMap`. * Objects passed to the function are Series

* Returns integer position of the largest value in the Series. * @example * ``` * const sf = new Series([3, 1, 2]); * cons

* Returns integer position of the smallest value in the Series. * @example * ``` * const sf = new Series([3, 1, 2]); * con

* Returns the integer indices that would sort the Series. * @param ascending Boolean indicating whether to sort in ascending order or not. Defaul