remove a row if all columns have contain nans in python

main.py
import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3, np.nan],
                   'B': [4, np.nan, 6, np.nan],
                   'C': [7, 8, np.nan, np.nan]})

# Before removing rows
print(df)

# Drop rows that contain NaNs in all columns
df.dropna(how='all', inplace=True)

# After removing rows
print(df)
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main.py
     A    B    C
0  1.0  4.0  7.0
1  2.0  NaN  8.0
2  3.0  6.0  NaN
3  NaN  NaN  NaN

     A    B    C
0  1.0  4.0  7.0
1  2.0  NaN  8.0
2  3.0  6.0  NaN
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