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put two columns together in one column in pandas dataframe

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Itchy Iguana answered on May 10, 2020 Popularity 10/10 Helpfulness 2/10

answer put two columns together in one column in pandas dataframe

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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 pandas put python two-columns

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Contributed on Aug 05 2022

Itchy Iguana

0 Answers Avg Quality 2/10

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merge two dataframes based on column

Comments(1)

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

df_outer

Popularity 10/10 Helpfulness 7/10 Language python

Source: Grepper

Tags: merge merg

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Contributed on Jul 27 2020

Sachin

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plotting two columns of a dataframe in python

Comment

df.plot(x='col_name_1', y='col_name_2', style='o')

Popularity 10/10 Helpfulness 5/10 Language python

Source: stackoverflow.com

Tags: dataframe data

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Contributed on Jan 29 2021

Wild Wombat

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merge two dataframes based on column

Comment

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

df_merge_col

Popularity 10/10 Helpfulness 4/10 Language python

Source: www.datacamp.com

Tags: merge merg

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Contributed on Jul 27 2020

Sachin

0 Answers Avg Quality 2/10

pandas merge two columns from different dataframes

Comment

#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

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pandas create a new column based on condition of two columns

Comment

conditions = [
    df['gender'].eq('male') & df['pet1'].eq(df['pet2']),
    df['gender'].eq('female') & df['pet1'].isin(['cat', 'dog'])
]

choices = [5,5]

df['points'] = np.select(conditions, choices, default=0)

print(df)
     gender      pet1      pet2  points
0      male       dog       dog       5
1      male       cat       cat       5
2      male       dog       cat       0
3    female       cat  squirrel       5
4    female       dog       dog       5
5    female  squirrel       cat       0
6  squirrel       dog       cat       0

Popularity 10/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: multiple-conditions mult

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Contributed on Dec 01 2020

Courageous Cobra

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merge three dataframes pandas based on column

Comments(1)

# 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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Source: Grepper

Tags: merge merg

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Contributed on Jan 03 2022

NotACoder

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how to merge two pandas dataframes on a column

Comment

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

Popularity 10/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: merge merg

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Contributed on Jun 19 2020

Difficult Duck

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merge two columns pandas

Comment

df["period"] = df["Year"] + df["quarter"]

Popularity 10/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: combine

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Contributed on May 10 2020

Tremendous Enceladus

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how to join two dataframe in pandas based on two column

Comment

-1

merged_df = left_df.merge(right_df, how='inner', left_on=["A", "B"], right_on=["A2","B2"])

Popularity 10/10 Helpfulness 4/10 Language python

Source: www.kite.com

Tags: dataframe data

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Contributed on Jan 29 2021

Drab Dolphin

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pandas set two columns on apply function

Comment

This allows f to be a user-defined function with multiple input values and uses column names rather than numeric indices to access the columns

df['new_column'] = df.apply(lambda x: f(x.col_1, x.col_2), axis=1)

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Source: Grepper

Tags: apply function pandas pa

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Contributed on May 11 2023

FishBrawler

0 Answers Avg Quality 2/10

put two columns together in one column in pandas dataframe

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