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#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')
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df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
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merged_df = DF2.merge(DF1, how = 'inner', on = ['date', 'hours'])
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# Merging 3 or more dataframes base on a common column
import pandas as pd
from functools import reduce
#Create a list of df to combine
list_of_df = [df_1,df_2,df_3]
#merge them together
df_combined = reduce(lambda left,right: pd.merge(left,right,on='common column'), list_of_df)
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import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')
Merging of Two Datasets on the basis of their index number
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new_data = pd.merge(df1, df2, left_index=True, right_index=True)
new_data