python create new pandas dataframe with specific columns
# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)python create new pandas dataframe with specific columns
# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)select columns to include in new dataframe in python
new = old.filter(['A','B','D'], axis=1)pandas copy data from a column to another
df = pd.DataFrame()
df['X'] = [0, 3, 1, 1, 2, 2, 3, 3, 1, 2]
df['Y'] = [111.0, np.nan, np.nan, 112, 113, np.nan, 114, 115, np.nan, 116]
df['Y'] = df['Y'].fillna(df['X'])
print(df)Copyright © 2021 Codeinu
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