Pandas

Create Pivot Table

Performing mathematical operations on dataframe

Check if column is in date format

Iterate over DataFrame rows

Drop duplicates

Get n smallest

Pivot rows to columns

Merge Dataframes

Read CSV

Convert datetime series

Looping Over Dataframe

Sort values by multiples columns

Create dataframe from dict

Iterate over DataFrame rows as namedtuples

Check Columns type

Insert column

Transform Dataframe to dict

Fill emtpy values

Filter DataFrame

Drop Columns By Index

Create conditional column enrichment using DataFrame.loc

Get n largest

Save dataframe to CSV

Map column with values in dict

Concatenate dataframes

ISO Date Conversion

Keep columns

Format number to string

Rename columns

Flatten MultiIndex Columns

Drop columns

Groupby and Aggregate

Enforce data types to columns

Drop First column

Apply custom styles on column

Read Excel

Save dataframe to Excel

Transform DataFrame to json file

Format URL as clickable link on column