I have two data frames
df1 = pd.read_excel("data1.xlsx")
df2 = pd.read_excel("data2.xlsx"
df1
Data1 Data2 Score
ABC AB1 1
AB1 ABC 4
AB2 AB2 6
ABC ABD 0.7
GDH ABD 0.9
KMN KSF 0.5
KSF KSF 6
df2
Data1
AB1
AB2
ABC
I want to map df2["Data1"]
to df1
and extract the mapping values:
merged_data = pd.merge(df2, df1, how='inner', left_on='Data1', right_on='Data1')
merged_data2 = pd.merge(df2, df1, how='inner', left_on='Data1', right_on='Data2')
combined_data = pd.concat([merged_data,merged_data2])
#remove duplicates
combined_data_rm = combined_data.drop_duplicates()
combined_data_rm
Data1 Data2 Score
ABC AB1 1
AB1 ABC 4
AB2 AB2 6
ABC ABD 0.7
Is there any alternate way of doing with analysis using pandas?