* Access a single value for a row/column label pair. * Similar to {@link loc}, in that both provide label-based lookups. * Use at if you on

* Access a single value for a row label. * Similar to loc, in that both provide label-based lookups. * Use at if you only need to get or set

* Returns the axis labels of the NDFrame.

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

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

* Get the mapping of classes to integers. * @returns mapping of classes to integers. * @example * ``` * const encoder = new LabelE

* Returns the specified column data as a Series object. * @param column The name of the column to return * @example * ``` * const

* Returns the column names of the NDFrame

* Returns the configuration object of the NDFrame.

* Converts an array to an object using array index as object keys * @param arr The array

* Return number of non-null elements in a Series * @param options.axis 0 or 1. If 0, count column-wise, if 1, add row-wise. Defaults to 1 *

* Obtain the count for each group * @returns DataFrame *

* Count the NaN and non-NaN values present in an array * @param arr Array object * @param val whether to return the value count instead of

* Returns the data types for each column as a Series. * @example * ``` * const df = new DataFrame([[1, 2.1, "Dog"], [3, 4.3, "Cat"]], {

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

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

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

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

* Returns the Date as JavaScript standard Date object * @example * ``` * import { Series } from "danfojs-node" * const data = [

* Returns the day of the month, in local time * @example * ``` * import { Series } from "danfojs-node" * const data = [ * "20

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

* Generate descriptive statistics for all numeric columns. * Descriptive statistics include those that summarize the central tendency, * dis

* Generate descriptive statistics. * Descriptive statistics include those that summarize the central tendency, * dispersion and shape of a

* Returns time class that exposes different date time method * @example * ``` * const sf = new Series([ * "2020-01-01",

* Returns dtype of Series * @example * ``` * const sf = new Series([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]); * console.log(sf.dtype);

* Returns the dtypes of the columns

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

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

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

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

* Fit the data and transform it * @param data Array, Tensor, DataFrame or Series object * @returns Array, Tensor, DataFrame or Series object

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

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

* Returns the underlying data in Array column format. * Similar to this.values, but in column format.

* One-hot encode values in the Series. * @param options Options for the operation. The following options are available: * - `prefix`: Prefix