What is the method for computing the overall sum of a dataframe, excluding a singular row?

edit

Assuming the singular row to be excluded is known, one method for computing the overall sum of a dataframe excluding that row is as follows:

import pandas as pd

# create example dataframe
df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [5, 6, 7, 8]})
print(df)

# identify and exclude row from dataframe
exclude_index = 2
df_exclude = df.drop(exclude_index)
print(df_exclude)

# compute overall sum of remaining dataframe
sum_exclude = df_exclude.sum().sum()
print(sum_exclude)

Explanation:

• First, we create an example dataframe df with two columns (A and B) and four rows.
• Next, we identify the row to be excluded by its index (exclude_index = 2) and create a new dataframe df_exclude that excludes that row using the drop() method.
• Then, we compute the overall sum of the remaining dataframe df_exclude by first summing each column with .sum() and then taking the sum of those sums with a second .sum() function.
• Finally, we print the resulting sum (sum_exclude).