pd.pivot_table
>>> table = pd.pivot_table(df, values=['D', 'E'], index=['A', 'C'],
... aggfunc={'D': np.mean,
... 'E': [min, max, np.mean]})
>>> table
D E
mean max mean min
A C
bar large 5.500000 9.0 7.500000 6.0
small 5.500000 9.0 8.500000 8.0
foo large 2.000000 5.0 4.500000 4.0
small 2.333333 6.0 4.333333 2.0pandas pivot
>>> df = pd.DataFrame({'foo': ['one', 'one', 'one', 'two', 'two',
... 'two'],
... 'bar': ['A', 'B', 'C', 'A', 'B', 'C'],
... 'baz': [1, 2, 3, 4, 5, 6],
... 'zoo': ['x', 'y', 'z', 'q', 'w', 't']})
>>> df
>>df.pivot(index='foo', columns='bar', values=['baz', 'zoo'])
bar A B C
foo
one 1 2 3
two 4 5 6Pandas pivot table
>>> emp.pivot_table(index='dept', columns='gender', values='salary', aggfunc='mean').round(-3)pivot table pandas
df.pivot_table(['int_age'],index = [df.iloc[:,meet_friends], df.iloc[:,friendsgiving]])pivot table pandas
df.pivot_table(index = [df.iloc[:,meet_friends], df.iloc[:,friendsgiving]])pivot table pandas
# Tips is the Dataframe:
# Suppose we want to compute a table of group means, we can
# use the Pivot_Table Method:
# The Pivot Table automatically computes the mean
tips.pivot_table(index=['day', 'smoker'])
# The index represents the column names that you want to form groupsCopyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
