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To group data by multiple columns in Pandas, you can use the groupby() method and pass a list of column names. For example:
df.groupby(['column1', 'column2']).sum()
This will group the data in the DataFrame df by the values in column1 and column2, and then sum the values for each group.
To represent the grouped data in a bar graph, you can use the plot() method with the kind='bar' parameter. For example:
df.groupby(['column1', 'column2']).sum().plot(kind='bar')
This will generate a bar graph with the sum of the values for each group along the x-axis and the group labels along the y-axis. You can customize the graph further by adding labels, titles, and adjusting the size and layout.