Change the value of one or more cells. Can change a specific cell, cells in a row, cells in a column, a mix of those, or cells that meet a condition

Removes rows that contain missing values or meet a given condition

Add a column to a dataframe

Gets the average value of one or more columns

Casts a column to a different data type

Creates a copy of a column within a datframe

Calculates the correlation between columns within the dataframe

Gets the data types of one or more colums in a dataframe

Extracts one or more columns from a dataframe into a new dataframe

Creates a for loop that iterates over the columns

Gets one or more columns from a dataframe and returns each column as a series variable

Writes the columns of a dataframe into the code file

Gets the maximum value of one or more columns

Gets the mean value of one or more columns

Gets the median value of one or more columns

Gets the minimum value of one or more columns

Gets the most commonly occuring value of one or more columns

Performs an operation to one column, or between columns

Gets the quantiles / percentages of one or more columns

Rearranges columns within a dataframe to place the stated columns as the first columns in the dataframe

Removes one or more columns from a dataframe

Renames one or more columns within a dataframe by either renaming the column, adding a suffix or prefic, or portions of column names that match a pattern

Rounds the values of a column to the nearest multiple of the given value

Gets the standard deviation of one or more columns

Calculates the sum of one or more columns

Gets the variance of one or more columns

Reads from a csv file and creates a dataframe

Combines one or more dataframes together by placing the rows of the second dataframe after the rows of the first

Makes a copy or clone of the current dataframe

Gives a description of each columns in the dataframe

Rearranges columns within a dataframe to place the stated columns as the first columns in the dataframe

Saves / writes a dataframe to a csv or xlsx file

Shuffles a dataframe

Joins two dataframes together on a given or implied column

Changes the focus for following seeds to the specified dataframe or variable

Use Normalize seed with --minMax. Normalize one or more columns using a min max scaler

Returns a dataframe containing only rows that meet a specific criteria from a query / filter

Creates a dataframe with a random number of columns, rows, and values

Removes non-standard ascii characters, such as non-character, non-numeric, and non-punctual characters, from a dataframe or column.

Resets the indexes within a dataframe, useful if rows have been inserted or removed

Categorizes rows within a dataframe based on a specified criteria

Counts the number of cells or rows or meet a given condition

Counts the number of duplicates rows for all or some columns

Creates a for loop that iterates over each row

Gets 1 of more rows from a dataframe or rows that meet a given condition

Removes rows that contain missing values or meet a given condition

Sort rows either ascending or descending based on the values in one or more columns

See the top n rows of a dataframe using the head() method

Makes following dataframe head calls print all rows, use with CAUTION