Answers for "pandas combine multiple dataframes"

9

combining 2 dataframes pandas

df_3 = pd.concat([df_1, df_2])
Posted by: Guest on May-13-2020
0

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)
Posted by: Guest on October-04-2020
3

combine two dataframe in pandas

# Stack the DataFrames on top of each other
vertical_stack = pd.concat([survey_sub, survey_sub_last10], axis=0)

# Place the DataFrames side by side
horizontal_stack = pd.concat([survey_sub, survey_sub_last10], axis=1)
Posted by: Guest on September-22-2020
0

merge 2 dataframes pythom

concat = pd.merge(data_1, data_2, how='inner')
Posted by: Guest on October-27-2021
-1

Merge multiple dataframs

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')
Posted by: Guest on September-02-2021

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