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split rows into multiple columns in pandas

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Easy Eel answered on September 24, 2020 Popularity 10/10 Helpfulness 1/10

answer split rows into multiple columns in pandas

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split rows into multiple columns in pandas

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df = pd.DataFrame(df.Raw_info.values.reshape(-1, 3), 
                   columns=['Function_name', 'prop1', 'prop2'])

print(df) 
  Function_name            prop1            prop2
0    Function_1  internal_prop_1  external_prop_1
1    Function_2  internal_prop_2  external_prop_2
2    Function_3  internal_prop_3  external_prop_3

Popularity 10/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: multiple-columns pandas python

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Contributed on Dec 02 2021

Easy Eel

0 Answers Avg Quality 2/10

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pandas split column into multiple columns by delimiter

Comment

df[['A', 'B']] = df['AB'].str.split(' ', 1, expand=True)

Popularity 10/10 Helpfulness 8/10 Language python

Source: stackoverflow.com

Tags: delimiter deli

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Contributed on Mar 31 2021

Scary Swan

0 Answers Avg Quality 2/10

split pandas row into multiple rows

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def split_dataframe_rows(df,column_selectors):
    # we need to keep track of the ordering of the columns
    def _split_list_to_rows(row,row_accumulator,column_selector):
        split_rows = {}
        max_split = 0
        for column_selector in column_selectors:
            split_row = row[column_selector]
            split_rows[column_selector] = split_row
            if len(split_row) > max_split:
                max_split = len(split_row)
            
        for i in range(max_split):
            new_row = row.to_dict()
            for column_selector in column_selectors:
                try:
                    new_row[column_selector] = split_rows[column_selector].pop(0)
                except IndexError:
                    new_row[column_selector] = ''
            row_accumulator.append(new_row)

    new_rows = []
    df.apply(_split_list_to_rows,axis=1,args = (new_rows,column_selectors))
    new_df = pd.DataFrame(new_rows, columns=df.columns)
    return new_df

Popularity 9/10 Helpfulness 4/10 Language python

Source: gist.github.com

Tags: pandas pa

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Contributed on Apr 10 2022

Saiful Islam

0 Answers Avg Quality 2/10

split a column into multiple columns

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df[['A', 'B']] = df['AB'].str.split(' ', 1, expand=True)
df['A'], df['B'] = df['AB'].str.split('-', 1).str

Popularity 9/10 Helpfulness 4/10 Language whatever

Source: Grepper

Tags: multiple-columns mult

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Contributed on Jul 26 2022

JOY ANGELIN

0 Answers Avg Quality 2/10

split coumn of df into multiple dynamic columns

Comment

d = [pd.DataFrame(df[col].tolist()).add_prefix(col) for col in df.columns]
df = pd.concat(d, axis=1)

   id0  id1   id2  value0  value1  value2
0   10   10   NaN   apple  orange    None
1   15   67   NaN  banana  orange    None
2   12   34  45.0   apple  banana  orange

Popularity 9/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: dynamic-columns

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Contributed on Sep 24 2020

Sachin

0 Answers Avg Quality 2/10

pandas split column into multiple columns

Comment

df.Name.str.split(expand=True,)
          0  1
0   Steve   Smith
1   Joe Nadal
2   Roger   Federer

Popularity 10/10 Helpfulness 3/10 Language python

Source: cmdlinetips.com

Tags: multiple-columns mult

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Contributed on Apr 29 2021

Important Impala

0 Answers Avg Quality 2/10

pandas split cell into multiple columns

Comment

df[['A', 'B']] = df['AB'].str.split(' ', 1, expand=True)

Popularity 8/10 Helpfulness 2/10 Language python

Source: stackoverflow.com

Tags: cell multiple-columns multi

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Contributed on Oct 18 2022

Prickly Peacock

0 Answers Avg Quality 2/10

Split Column with delimiter into multiple columns

Comment

DECLARE @tt TABLE(i INT IDENTITY,x VARCHAR(8000));
INSERT INTO @tt(x)VALUES('-9;-9;-1;-9;-9;-9;-9;-9;-1;-9;-9;-9;-9;-9;-9;-9;-9;-9;-1;-9;-9;-9;-9;-9;-9;-9;-9;-9;-1;-9;-1;-9;-9;-9;-1;-9;-9;-9;-9;-9;-9;-1;-1;-1;-1;-9;-1;-1;-9;-9;-9;-9;-1;-9;-1;-9;-9;-9;-1;-9;-1;-9;-1;-9;-9;-9;-9;-1;-9;-9;-1;-1;-9;-1;-1;0000;FFF8;-9;-9;-9;-1;-9;-1;-9;FFF6;-9;-1;-9;-1;-9;-1;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9;-9');

SELECT
    i,
    val1=n.v.value('/e[1]','VARCHAR(16)'),
    val2=n.v.value('/e[2]','VARCHAR(16)'),
    val3=n.v.value('/e[3]','VARCHAR(16)'),
    -- ... repeat for val4 .. val114
    val115=n.v.value('/e[115]','VARCHAR(16)')
FROM
    @tt
    CROSS APPLY (
        SELECT 
            CAST('<e>'+REPLACE(x,';','</e><e>')+'</e>' AS XML) AS itm
    ) AS i
    CROSS APPLY i.itm.nodes('/') AS n(v);

Popularity 9/10 Helpfulness 1/10 Language sql

Source: stackoverflow.com

Tags: delimiter deli

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Contributed on May 06 2022

Mappy Show

0 Answers Avg Quality 2/10

split rows into multiple columns in pandas

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split rows into multiple columns in pandas

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pandas split column into multiple columns by delimiter

split pandas row into multiple rows

split a column into multiple columns

split coumn of df into multiple dynamic columns

pandas split column into multiple columns

pandas split cell into multiple columns

Split Column with delimiter into multiple columns

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