drop if nan in column pandas
df = df[df['EPS'].notna()]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)dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])drop column with nan values
fish_frame = fish_frame.dropna(axis = 1, how = 'all')python remove nan rows
df = df[df['my_var'].notna()]drop columns with nan pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 CatwomanCopyright © 2021 Codeinu
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