Reshape a pandas DataFrame using stack,unstack and melt method
Pandas use various methods to reshape the dataframe and series. Let’s see about the some of that reshaping method.
Let’s import a dataframe first.
Using stack() method:
Stack method works with the MultiIndex objects in DataFrame, it returning a DataFrame with an index with a new inner-most level of row labels. It changes the wide table to a long table.
Using unstack() method:
unstack is similar to stack method, It also works with multi-index objects in dataframe, producing a reshaped DataFrame with a new inner-most level of column labels.
Melt in pandas reshape dataframe from wide format to long format. It uses the “id_vars[‘col_names’]” for melt the dataframe by column names.