Breaking News: Grepper is joining You.com. Read the official announcement!

pivot table pandas

Add Answer

Troubled Thrush answered on April 12, 2021 Popularity 10/10 Helpfulness 1/10

answer pivot table pandas

related pandas pivot

related pivot table pandas

related Pandas pivot table

related pd df pivot

related pandas pivot table

related pandas pivot function

related Pandas pivot table

related pd df pivot

related pd df pivot table

related df.pivot_table

pivot table pandas

Comment

df.pivot_table(['int_age'],index = [df.iloc[:,meet_friends], df.iloc[:,friendsgiving]])

Popularity 10/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: pandas pivot-table python

Link to this answer
Share Copy Link

Contributed on Apr 12 2021

Troubled Thrush

0 Answers Avg Quality 2/10

Closely Related Answers

pandas pivot

Comment

>>> 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   6

Popularity 10/10 Helpfulness 5/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

Link to this answer
Share Copy Link

Contributed on May 23 2021

Nutty Narwhal

0 Answers Avg Quality 2/10

pivot table pandas

Comment

df.pivot_table(index='cat_col_as_row_number',  # multi-level: ['country', 'city']
               columns='cat_col_as_columns', 
               values='num_col_as_values',
               fill_value = 0,
               margins = True,
               aggfunc=[np.mean,np.median]) # axis = "index" / "columns"

# Unpivot a table (wide table format to long table format )
unpivot_df = df.melt(id_vars=['col1_to_keep','col2_to_keep'],
            value_vars=['col3_to_unpivot','col4_to_unpivot'],
            var_name=['variable_col'], value_name='value_col')

Popularity 10/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: pandas pa

Link to this answer
Share Copy Link

Contributed on Oct 31 2023

Innocent Iguana

0 Answers Avg Quality 2/10

Pandas pivot table

Comment

-1

table = pd.pivot_table(df, values='D', index=['A', 'B'],
...                     columns=['C'], aggfunc=np.sum)
>>> table
C        large  small
A   B
bar one    4.0    5.0
    two    7.0    6.0
foo one    4.0    1.0
    two    NaN    6.0

Popularity 10/10 Helpfulness 4/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

Link to this answer
Share Copy Link

Contributed on Jul 12 2022

Julio Cesar Felix

0 Answers Avg Quality 2/10

pd df pivot

Comment

df.pivot(index='foo', columns='bar', values='baz')

Popularity 9/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: pivot pivo

Link to this answer
Share Copy Link

Contributed on Aug 22 2022

Athul Mathew

0 Answers Avg Quality 2/10

pandas pivot table

Comment

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  7.500000    6
    small  5.500000   9  8.500000    8
foo large  2.000000   5  4.500000    4
    small  2.333333   6  4.333333    2

Popularity 9/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

Link to this answer
Share Copy Link

Contributed on Dec 08 2022

Rizvi Hasan

0 Answers Avg Quality 2/10

pandas pivot function

Comment

import pandas as pd

# Sample DataFrame (long-format data)
data = {
    'Date': ['2023-01-01', '2023-01-01', '2023-01-02', '2023-01-02'],
    'Category': ['A', 'B', 'A', 'B'],
    'Value': [10, 15, 12, 18]
}

df = pd.DataFrame(data)

# Using pivot to reshape the data
pivot_df = df.pivot(index='Date', columns='Category', values='Value')
print(pivot_df)

Popularity 8/10 Helpfulness 3/10 Language python

Source: chat.openai.com

Tags: function pandas pand

Link to this answer
Share Copy Link

Contributed on Nov 05 2023

Muhammad Waris Mahmood

0 Answers Avg Quality 2/10

Pandas pivot table

Comment

>>> emp.pivot_table(index='dept', columns='gender',                     values='salary', aggfunc='mean').round(-3)

Popularity 10/10 Helpfulness 3/10 Language python

Source: medium.com

Tags: pandas pa

Link to this answer
Share Copy Link

Contributed on Aug 09 2021

Uninterested Unicorn

0 Answers Avg Quality 2/10

pd df pivot

Comment

df.pivot(index="lev1", columns=["lev2", "lev3"],values="values")

Popularity 9/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: pivot pivo

Link to this answer
Share Copy Link

Contributed on Aug 22 2022

Athul Mathew

0 Answers Avg Quality 2/10

pd df pivot table

Comment

table = pd.pivot_table(df, values='D', index=['A', 'B'],
...                     columns=['C'], aggfunc=np.sum, fill_value=0)

Popularity 9/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: pivot-table pivo

Link to this answer
Share Copy Link

Contributed on Aug 22 2022

Athul Mathew

0 Answers Avg Quality 2/10

df.pivot_table

Comment

df.pivot_table(values, index, aggfunc={'value_1': np.mean,'value_2': [min, max, np.mean]})

Popularity 10/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: python py

Link to this answer
Share Copy Link

Contributed on Mar 16 2022

Jealous Jackal

0 Answers Avg Quality 2/10

pivot table pandas

Contents

More Related Answers

pivot table pandas

Closely Related Answers

pandas pivot

pivot table pandas

Pandas pivot table

pd df pivot

pandas pivot table

pandas pivot function

Pandas pivot table

pd df pivot

pd df pivot table

df.pivot_table

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.