pandas drop zero values
df.loc[(df!=0).any(axis=1)]pandas drop zero values
df.loc[(df!=0).any(axis=1)]remove leading and lagging spaces dataframe python
cols = df.select_dtypes(['object']).columns
df[cols] = df[cols].apply(lambda x: x.str.strip())
print (df)
A B C
0 A b NaN 3.0
1 NaN NaN 3.0
2 random NaN 4.0
3 any txt is possible 2 1 22.0
4 NaN 99.0
5 help NaN NaNCopyright © 2021 Codeinu
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