Removing Null Value rows from Dataframe in Pandas

I have an excel sheet with below records

Here if you see second and fourth rows having null value, so our objective to remove these rows from process, lets see how we can do with panda package of python

import pandas as pd
import numpy as np

df1 = pd.read_csv("NullFilterExample.csv")

print('Original DF with NULL value in rows \n',df1 , '\n')

for col in df1.columns:
    df1=df1[df1[col].notnull()]

print('After removing rows with NULL Value \n',df1)

Output:

Original DF with NULL value in rows

    account_no  branch  city_code customer_name  amount

0        2112  3212.0      321.0       Sidhika   19000

1        2119     NaN      215.0      Prayansh   12000

2        2115  4321.0      212.0       Rishika   15000

3        2435  2312.0        NaN      Sagarika   13000

After removing rows with NULL Value

    account_no  branch  city_code customer_name  amount

0        2112  3212.0      321.0       Sidhika   19000

2        2115  4321.0      212.0       Rishika   15000

Data Science with…Python J

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