Mastering pandas - Second Edition

min(), max(), median(), mean(), and mode()

These functions accept a similar set of parameters and compute the aggregates (min, max, median, or mode) for each column or row based on the axis parameter setting:

sales_df.min()

The following is the output:

The min() result

The max method can be applied as shown here:

sales_df.max(axis = 1)

The following is the output:

The max() result

The skipna parameter helps us handle NAs. Consider the following DataFrame:

sales_df_na

The following is the output:

DataFrame with NAs

By default, the NAs are skipped ...