drop a column from dataframe
df = df.drop('column_name', 1)drop a column from dataframe
df = df.drop('column_name', 1)delete columns pandas
df = df.drop(df.columns[[0, 1, 3]], axis=1)pandas remove time from date
# If opening_date is currently a timestamp: 2021-01-09 00:00:00
opening_date = pd.to_datetime(opening_date).date()
print(opening_date)
# Result: 2021-01-09pandas drop 1970
new_df = df[(df['Delivery Date'].dt.year != 1970)]drop a column from dataframe
#to drop by column number instead of by column label, try this to delete, e.g. the 1st, 2nd and 4th columns
df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.IndexCopyright © 2021 Codeinu
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