Answers for "pd.merge in python"

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')

joins in pandas

pd.merge(product,customer,left_on='Product_name',right_on='Purchased_Product')

python merge pdfs

from PyPDF2 import PdfFileMerger, PdfFileReader
merger = PdfFileMerger()

merger.append(PdfFileReader(open(filename1, 'rb')))
merger.append(PdfFileReader(open(filename2, 'rb')))

merger.write("merged.pdf")

pandas merge python

import pandas as pd
df1 = pd.DataFrame({'lkey': ['foo', 'bar', 'baz', 'foo'],
                    'value': [1, 2, 3, 5]})
df2 = pd.DataFrame({'rkey': ['foo', 'bar', 'baz', 'foo'],
                    'value': [5, 6, 7, 8]})
df1.merge(df2, left_on='lkey', right_on='rkey')

merge two columns name in one header pandas

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

merge dataframe pandas

>>> df1.merge(df2, left_on='lkey', right_on='rkey')
  lkey  value_x rkey  value_y
0  foo        1  foo        5
1  foo        1  foo        8
2  foo        5  foo        5
3  foo        5  foo        8
4  bar        2  bar        6
5  baz        3  baz        7