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Pandas join two columns

Join on column pandas

# df1 as main df and use the feild from df2 and map it into df1

df1.merge(df2,on='columnName',how='left')

7

Merge two columns pandas

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

2

Source: stackoverflow.com

Pandas merge two columns from different dataframes

#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')

1

Merge two columns name in one header pandas

df['A'] = df[a_cols].apply(' '.join, axis=1)

1

Source: stackoverflow.com

Pandas join two columns

df['FullName'] = df[['First_Name', 'Last_Name']].agg('-'.join, axis=1)

0

How to merge two pandas dataframes on a column

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

0

Source: stackoverflow.com

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Your models have changes that are not yet reflected in a migration, and so won't be applied. Run 'manage.py makemigrations' to make new migrations, and then re-run 'manage.py migrate' to apply them.
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