
import pandas as pd

df = pd.DataFrame({"A":[5,3,None,4],
                 "B":[None,2,4,3],
                 "C":[4,3,8,5],
                 "D":[5,4,2,None]})

print(df['A'] + df['C'])

print(df.count())

print(df['A'].sum())
71ea6cd84463f823916866c112ee2c5dc6159475
<mask token>

<mask token>
print(df['A'] + df['C'])
print(df.count())
print(df['A'].sum())

<mask token>
df = pd.DataFrame({'A': [5, 3, None, 4], 'B': [None, 2, 4, 3], 'C': [4, 3, 
    8, 5], 'D': [5, 4, 2, None]})
print(df['A'] + df['C'])
print(df.count())
print(df['A'].sum())

import pandas as pd
df = pd.DataFrame({'A': [5, 3, None, 4], 'B': [None, 2, 4, 3], 'C': [4, 3, 
    8, 5], 'D': [5, 4, 2, None]})
print(df['A'] + df['C'])
print(df.count())
print(df['A'].sum())


import pandas as pd

df = pd.DataFrame({"A":[5,3,None,4],
                 "B":[None,2,4,3],
                 "C":[4,3,8,5],
                 "D":[5,4,2,None]})

print(df['A'] + df['C'])

print(df.count())

print(df['A'].sum())