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merge more than two dataframes based on column

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Sumaia Parveen Shupti answered on June 19, 2020 Popularity 1/10 Helpfulness 1/10

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merge more than two dataframes based on column

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df_2017.merge(df_2018, left_on = 'Textbook?', right_on = 'Textbook?', how = 'inner', suffixes = ('_2017', '_2018'))\
.merge(df_2019, left_on = 'Textbook?', right_on = 'Textbook?', how = 'inner')\
.merge(df_2020, left_on = 'Textbook?', right_on = 'Textbook?', how = 'inner', suffixes = ('_2019', '_2020'))\
.merge(df_2021, left_on = 'Textbook?', right_on = 'Textbook?', how = 'inner')\
.merge(df_2022, left_on = 'Textbook?', right_on = 'Textbook?', how = 'inner', suffixes = ('_2021', '_2022'))\

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Contributed on Apr 01 2022

Sumaia Parveen Shupti

0 Answers Avg Quality 2/10

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merge two dataframes based on column

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df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column

df_outer

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Contributed on Jul 27 2020

Sachin

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how to merge more than 2 dataframes in python

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df = pd.concat( [df1,df2,df3], ignore_index=True )

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Contributed on Sep 23 2021

Lively Lyrebird

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merge two dataframes based on column

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df_merge_col = pd.merge(df_row, df3, on='id')

df_merge_col

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Contributed on Jul 27 2020

Sachin

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pandas merge two columns from different dataframes

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#suppose you have two dataframes df1 and df2, and 
#you need to merge them along the column id
df_merge_col = pd.merge(df1, df2, on='id')

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Contributed on Sep 03 2020

Captainspockears

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merge three dataframes pandas based on column

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# Merging 3 or more dataframes base on a common column
import pandas as pd
from functools import reduce

#Create a list of df to combine
list_of_df = [df_1,df_2,df_3]

#merge them together
df_combined = reduce(lambda left,right: pd.merge(left,right,on='common column'), list_of_df)

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Contributed on Jan 03 2022

NotACoder

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how to merge two pandas dataframes on a column

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import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')

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Source: stackoverflow.com

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Contributed on Jun 19 2020

Difficult Duck

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Merge multiple dataframs

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# compile the list of dataframes you want to merge
data_frames = [df1, df2, df3]

df_merged = reduce(lambda  left,right: pd.merge(left,right,on=['DATE'],
                                            how='outer'), data_frames)

# if you want to fill the values that don't exist in the lines of merged dataframe simply fill with required strings as

df_merged = reduce(lambda  left,right: pd.merge(left,right,on=['DATE'],
                                            how='outer'), data_frames).fillna('void')

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Source: stackoverflow.com

Tags: merge merg

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Contributed on Sep 02 2021

Terrible Turtle

0 Answers Avg Quality 2/10

Merge multiple dataframs

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from functools import reduce

Name of a column in all dataframes is 'DATE'

df_merged = reduce(lambda  left,right: pd.merge(left,right,on=['DATE'],
                                            how='outer'), data_frames)

# if you want to fill the values that don't exist in the lines of merged dataframe simply fill with required strings as

df_merged = reduce(lambda  left,right: pd.merge(left,right,on=['DATE'],
                                            how='outer'), data_frames).fillna('void')

Popularity 9/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: merge merg

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Contributed on Sep 02 2021

Terrible Turtle

0 Answers Avg Quality 2/10

Merge multiple dataframs

Comment

-1

from functools import reduce
import pandas as pd

dfs = [df1, df2, df3, ...]
nan_value = 0

# solution 1 (fast)
result_1 = pd.concat(dfs, join='outer', axis=1).fillna(nan_value)

# solution 2
result_2 = reduce(lambda df_left,df_right: pd.merge(df_left, df_right, 
                                              left_index=True, right_index=True, 
                                              how='outer'), 
                  dfs).fillna(nan_value)

Popularity 9/10 Helpfulness 2/10 Language python

Source: stackoverflow.com

Tags: merge merg

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Contributed on Sep 02 2021

Terrible Turtle

0 Answers Avg Quality 2/10

merge more than two dataframes based on column

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