/Python/How to merge more than 2 dataframes in python

How to merge more than 2 dataframes in python

How to merge two dataframes

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

df_merge_col

Pandas merge multiple dataframes

import pandas as pd
from functools import reduce

# 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=['key_col'],
                                            how='outer'), data_frames)

Source: stackoverflow.com

How to merge more than 2 dataframes in python

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

Merge multiple dataframs

# 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')

Source: stackoverflow.com

Merge multiple dataframs

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')

Source: stackoverflow.com

Merge multiple dataframs

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)

-1

Source: stackoverflow.com

Similar codes

0 vote143 views1 answer
Graph outlier detection
Python
0 vote158 views1 answer
Pandas df to R df
Python
0 vote150 views1 answer
Re date python
Python
1 vote139 views1 answer
Python make a shop menu
Python
0 vote167 views1 answer
Treat NaN as a category
Python
0 vote146 views1 answer
How to extract data from telegram using python
Python
0 vote146 views1 answer
Sendgrid send email to multiple recipients python
Python
0 vote170 views1 answer
Tkinter include svg in script
Python
1 vote197 views1 answer
Flask send client to another web page
Python
0 vote145 views1 answer
Remove first 2 rows in pandas
Python