pandas drop row with nan
import pandas as pd
df = pd.DataFrame({'values_1': ['700','ABC','500','XYZ','1200'],
'values_2': ['DDD','150','350','400','5000']
})
df = df.apply (pd.to_numeric, errors='coerce')
df = df.dropna()
df = df.reset_index(drop=True)
print (df)numpy remove rows containing nan
a = a[~(np.isnan(a).any(axis=1))] # removes rows containing at least one nan
a = a[~(np.isnan(a).all(axis=1))] # removes rows containing all nanremove a rows in which three column has nan
df.dropna(subset=['col1', 'col2', 'col3', 'col4', 'col5', 'col6'], how='all', inplace=True)Copyright © 2021 Codeinu
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