What is the total of all values within a dataframe?

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To find the total of all values within a dataframe in Python pandas, you can use the sum() method, which sums up all the values in each numerical column of the dataframe. For example:

import pandas as pd # create a dataframe with some numerical values df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # get the sum of all values in the dataframe total = df.sum().sum() print(total) # Output: 45 

In this example, we first create a dataframe df with three columns ('A', 'B', 'C') and three rows of numerical values. We then apply the sum() method twice to the dataframe to get the sum of all values. The first sum() method sums up all the values in each column, resulting in a Pandas series object with the column names as index labels. The second sum() method then sums up all the values in the series object, resulting in the total of all values in the dataframe. The output in this example is 45.