sort dataframe by column
df.sort_values(by='col1', ascending=False)sort dataframe by column
df.sort_values(by='col1', ascending=False)sorting by column in pandas
# Python, Pandas
# Sorting dataframe df on the values of a column col1
# Return sorted array without modifying the original one
df.sort_values(by=["col1"])
# Sort the original array permanently
df.sort_values(by=["col1"], inplace = True)sort by two columns in pandas
df.sort_values(['a', 'b'], ascending=[True, False])sort df by column
df.rename(columns={1:'month'},inplace=True)
df['month'] = pd.Categorical(df['month'],categories=['December','November','October','September','August','July','June','May','April','March','February','January'],ordered=True)
df = df.sort_values('month',ascending=False)sort a dataframe
sort_na_first = gapminder.sort_values('lifeExp',na_position='first')Copyright © 2021 Codeinu
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