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combine dataframes with two matching columns

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Real Raccoon answered on July 27, 2020 Popularity 10/10 Helpfulness 5/10

answer combine dataframes with two matching columns

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combine dataframes with two matching columns

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merged_df = DF2.merge(DF1, how = 'inner', on = ['date', 'hours'])

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Source: stackoverflow.com

Tags: combine matching python

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Contributed on Mar 17 2021

Real Raccoon

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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Source: Grepper

Tags: merge merg

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Contributed on Jul 27 2020

Sachin

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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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Source: www.datacamp.com

Tags: merge merg

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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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Source: Grepper

Tags: pandas-merge pandas-mer

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Contributed on Sep 03 2020

Captainspockears

0 Answers Avg Quality 2/10

combine multiple columns in pandas dataframe

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cols = ['foo', 'bar', 'new']
df['combined'] = df[cols].apply(lambda row: '_'.join(row.values.astype(str)), axis=1)

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Source: stackoverflow.com

Tags: combine

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Contributed on Jan 29 2023

Niclas Bruhns

0 Answers Avg Quality 2/10

combine 2 df with same columns

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import pandas as pd

# Create two DataFrames
data1 = {
    'id': [1, 2, 3, 4],
    'A': ['A0', 'A1', 'A2', 'A3'],
    'B': ['B0', 'B1', 'B2', 'B3'],
    'C': ['C0', 'C1', 'C2', 'C3']
}

data2 = {
    'id': [1, 2, 3, 4],
    'B': ['B0', 'B1', 'B2', 'B3'],
    'C': ['C4', 'C5', 'C6', 'C7'],
    'D': ['D4', 'D5', 'D6', 'D7']
}

df1 = pd.DataFrame(data1)
df2 = pd.DataFrame(data2)

# Find the columns unique to df2
unique_cols_df2 = set(df2.columns) - set(df1.columns)

# Merge the DataFrames on the 'id' column and keep only the unique columns from df2
df_merged = pd.merge(df1, df2[['id'] + list(unique_cols_df2)], on='id')

print(df_merged)

Popularity 7/10 Helpfulness 2/10 Language python

Source: chat.openai.com

Tags: combine python

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Contributed on Aug 21 2023

Phoenix

0 Answers Avg Quality 2/10

put two columns together in one column in pandas dataframe

Comment

# First dataframe with three columns
dlist=["vx","vy","vz"]
df=pd.DataFrame(columns=dlist)
df["vx"]=df1["v2x"]
df["vy"]=df1["v2y"]
df["vz"]=df1["v2z"]
# second dataframe with three columns
dlist=["vx","vy","vz"]
df0=pd.DataFrame(columns=dlist)
df0["vx"]=df2["v1x"]
df0["vy"]=df2["v1y"]
df0["vz"]=df2["v1z"]
# Here with concat we can create new dataframe with garther both in one
# YOU CAN PUT SOME VALUES IN EACH AND CHECK IT
# WHAT INSIDE THE CONCAT MUST BE A LIST OF DATAFRAME
v = pd.concat([df,df0])

Popularity 10/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on Aug 05 2022

Itchy Iguana

0 Answers Avg Quality 2/10

merge more than two dataframes based on column

Comment

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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Source: Grepper

Tags: merge python

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Contributed on Apr 01 2022

Sumaia Parveen Shupti

0 Answers Avg Quality 2/10

combine dataframes with two matching columns

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combine dataframes with two matching columns

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merge two dataframes based on column

merge two dataframes based on column

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combine multiple columns in pandas dataframe

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put two columns together in one column in pandas dataframe

merge more than two dataframes based on column

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