* Groupby * @params col a list of column * @returns Groupby * @example * let data = [ [ 1, 2, 3 ], [ 4, 5, 6 ], [ 20, 30, 40 ], [

* obtaind the internal group data * @returns {[keys: string]: {}}

* Returns "greater than" of dataframe and other. * @param other DataFrame, Series, Array or Scalar number to compare with * @param options.a

* Returns Greater than of series and other. Supports element wise operations * @param other Series, number or Array of numbers to compare again

* Returns the first n values in a DataFrame * @param rows The number of rows to return * @example * ``` * const df = new DataF

* Returns the first n values in a Series * @param rows The number of rows to return * @example * ``` * const sf = new Series([

* Plot Series or DataFrame as histogram. * Uses Plotly library as backend, so supports Plotly's configuration parameters * @param plotConfig

* Returns the hour of the day, in local time * @example * ``` * import { Series } from "danfojs-node" * const data = [ * "201

* Access a single value for a row/column pair by integer position. * Similar to {@link iloc}, in that both provide integer-based lookups. *

* Access a single value for a row index. * Similar to iloc, in that both provide index-based lookups. * Use iat if you only need to get or

* Returns the indices of the NDFrame

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

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

* Return a boolean, same-sized object indicating where elements are empty (NaN, undefined, null). * NaN, undefined and null values gets mapped to

* Checks if current environment is Node

* Returns "less than or equal to" of dataframe and other. * @param other DataFrame, Series, Array or Scalar number to compare with * @param op

* Returns Less than or Equal to of series and other. Supports element wise operations * @param other Series, number or Array of numbers to comp

* Plot Series or DataFrame as lines. * Uses Plotly library as backend, so supports Plotly's configuration parameters * @param plotConfig con

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

* Get Less than of dataframe and other, element-wise (binary operator lt). * @param other DataFrame, Series, Array or Scalar number to compare wi

* Returns less than of series and other. Supports element wise operations * @param other Series, number, or Array of numbers to compare against

* Return maximum of values in a DataFrame across specified axis. * @param options.axis 0 or 1. If 0, compute the maximum column-wise, if 1, row-w

* Obtain the max value of columns for each group * @returns DataFrame *

* Return maximum of series and other. * @param other Series, number or Array of numbers to check against * @example * ``` * co

* Return mean of DataFrame across specified axis. * @param options.axis 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1

* Obtain the mean of columns for each group * @returns DataFrame

* Return median of DataFrame across specified axis. * @param options.axis 0 or 1. If 0, compute the median column-wise, if 1, row-wise. Defaults

* Return minimum of values in a DataFrame across specified axis. * @param options.axis 0 or 1. If 0, compute the minimum value column-wise, if 1,

* Obtain the min of columns for each group * @returns DataFrame

* Return minimum of series and other. * @param other Series, number of Array of numbers to check against * @example * ``` * co

* Returns the minute of the day, in local time * @example * ``` * import { Series } from "danfojs-node" * const data = [ * "2

* Return mode of DataFrame across specified axis. * @param options.axis 0 or 1. If 0, compute the mode column-wise, if 1, row-wise. Defaults to 1

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

* Returns the month, in local time. * @example * ``` * import { Series } from "danfojs-node" * const data = [ * "2019-01-01"

* Returns the name of the month, in local time * @example * ``` * import { Series } from "danfojs-node" * const data = [ * "

* Get the number of classes. * @returns number of classes. * @example * ``` * const encoder = new LabelEncoder() * encoder.fi

* Return the number of unique elements in a column, across the specified axis. * To get the values use `.unique()` instead. * @param axis T

* Return the number of unique elements in a Series * @example * ``` * const sf = new Series([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6]);

* Returns the dimension of the data. Series have a dimension of 1, * while DataFrames have a dimension of 2.

* Returns "not equal to" of dataframe and other. * @param other DataFrame, Series, Array or Scalar number to compare with * @param options.a

* Returns Not Equal to of series and other. Supports element wise operations * @param other Series, number or Array of numbers to compare agai

* obtain the total number of groups * @returns number

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

* Plot Series or DataFrame as pie. * Uses Plotly library as backend, so supports Plotly's configuration parameters * @param plotConfig confi

* Exposes functions for creating charts from a DataFrame. * Charts are created using the Plotly.js library, so all Plotly's configuration parame

* Exposes functions for creating charts from a DataFrame. * Charts are created using the Plotly.js library, so all Plotly's configuration parame

* Pretty prints a DataFrame or Series to the console

* Generates n random numbers between start and end. * @param start * @param end * @param size

* Replace NaN with null before tensor operations * @param arr

* Round elements of an array or array of arrays to specified dp * @param arr The Array to round * @param dp The number of dp to round to

* Gets n number of random rows in a dataframe. Sample is reproducible if seed is provided. * @param num The number of rows to return. Default to

* Returns specified number of random rows in a Series * @param num The number of rows to return * @param options.seed An integer specifying