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df.pivot_table

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Jealous Jackal answered on August 9, 2021 Popularity 10/10 Helpfulness 2/10

answer df.pivot_table

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df.pivot_table

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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

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Contributed on Mar 16 2022

Jealous Jackal

0 Answers Avg Quality 2/10

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pivot table pandas

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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 9/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: pandas pa

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Contributed on Oct 31 2023

Innocent Iguana

0 Answers Avg Quality 2/10

Pandas pivot table

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-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

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Contributed on Jul 12 2022

Julio Cesar Felix

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pd df pivot

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

Popularity 9/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: pivot pivo

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Contributed on Aug 22 2022

Athul Mathew

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pandas pivot table

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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

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Contributed on Dec 08 2022

Rizvi Hasan

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Pandas pivot table

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>>> 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

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Contributed on Aug 09 2021

Uninterested Unicorn

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pd df pivot

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

Popularity 9/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: pivot pivo

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Contributed on Aug 22 2022

Athul Mathew

0 Answers Avg Quality 2/10

pd df pivot table

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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

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Contributed on Aug 22 2022

Athul Mathew

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pivot table pandas

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# Simplest pivot table must have a dataframe
# and an index/list of index.
table = pd.pivot_table(df, index =['A', 'B'])
  
table

Popularity 10/10 Helpfulness 2/10 Language python

Source: www.geeksforgeeks.org

Tags: pandas pa

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Contributed on Jul 08 2022

Utkarsh Prajapati

0 Answers Avg Quality 2/10

pd df pivot table

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

Popularity 9/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: pivot-table pivo

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Contributed on Aug 22 2022

Athul Mathew

0 Answers Avg Quality 2/10

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