Data cleaning and operation functions

Function Name	Description
Perform arithmetic operation	Performs arithmetic operations on numerical columns
Data type standardization	Perform data type standardization
Handle null data	Performs null data handling on selected columns
Drop duplicates	Performs identification and removal of duplicate rows
Remove special characters	Performs removal of special characters
Remove whitespace	Performs removal of whitespace
Convert case	Performs case conversion
Sort dataframe	Performs sorting of dataframe
Replace substrings	Performs replacement of substrings
Posixct unixct to datetime	Performs conversion of unix datetime format to standard datetime format
Day month week identification	Performs identification of datetime property on datetime columns
Standardize timestamps	Performs standardization of timestamps
Conversion datetime sec min	Performs standardization of timestamps
Datetime properties	Performs extraction and manipulation of specific date and time components
Datetime ceil floor round	Performs adjustment of dates and times to the nearest specified unit
Timezone localization	Performs conversion of datetime column to a specific timezone
Resample dataframe	Performs resampling of dataframe
Filter dataframe	Performs filtering based on certain conditions
Aggregate dataframe	Performs aggregation of dataframe
Perform trigonometric operation	Performs trigonometric operation on numerical columns
Perform exponential logarithmic operation	Performs exponential logarithmic operation on numerical columns
Round dataframe	Preforms rounding of columns in the dataframe
Abs dataframe	Preforms calculation of absolute values for numerical columns
Remove constant columns	Performs removal of numerical columns with constant values
Date time split	Performs splitting of datetime columns into date and time
Cumulative division	Performs cumulative division on numerical columns
Cumulative maximum	Performs cumulative maximum on numerical columns
Cumulative minimum	Performs cumulative minimum on numerical columns
Cumulative product	Performs cumulative product on numerical columns
Cumulative sum	Performs cumulative sum on numerical columns
Datetime lag difference	Performs datetime lag difference on datetime columns
Drop columns	Performs drop or removal of selected columns
Filter by index	Performs filtering of selected columns by index
Filter by position	Performs filtering of selected columns by position
Lag column	Performs lag of selected numerical columns
Lead column	Performs lead of selected numerical columns
Percentage change	Performs calculation of percentage change between two values.
Rank	Performs assignment of ranks to each value of the selected numerical columns
Index reset	Performs removal of index column after resetting
Modulo	Performs finding of the remainder after dividing one number by another
Pivot	Performs rearrangement of the dataframe to group data by specific selected columns
Concat dataframes	Performs concatenation of two or more dataframes
Merge dataframes	Performs merging of multiple dataframes into a single dataframe. It aligns data based on common columns
Rename columns	Performs renaming of selected columns of dataframe
Replace Value	Performs the Replace Value function on the specified columns of the dataframe
Range-Based Replacement	Performs Range-Based Replacement to the specified columns of the dataframe
Difference with lag	Performs Difference with lag to the specified columns of the dataframe
Data Type Conversion	Performs Data Type Conversion to the specified columns of the dataframe
Delete Rows by Index	Performs deletion of rows by index on the specified columns of the dataframe
Set row values as column names	Performs setting of row value as column names
Constant column creation	Performs creation of new column with user provided constant value