how to merge two dataframes
df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_col
                                
                            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)
                                
                            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')
                                
                            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')
                                
                            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)
                                
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