merge two series in a dataframe in python

To merge two series in a dataframe in Python using pandas, the merge() function can be used. The two series should be first converted to dataframes and then merged on a common key.

Here's an example code snippet:


main.py
import pandas as pd

# creating the first series
s1 = pd.Series({'A': 10, 'B': 20, 'C': 30})

# creating the second series
s2 = pd.Series({'C': 40, 'D': 50, 'E': 60})

# converting the series to dataframes
df1 = pd.DataFrame({'Key': s1.index, 'Value': s1.values})
df2 = pd.DataFrame({'Key': s2.index, 'Value': s2.values})

# merging the dataframes on the 'Key' column
merged_df = pd.merge(df1, df2, on='Key', how='outer')

print(merged_df)
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17 lines

The output will be:


main.py
  Key  Value_x  Value_y
0   A     10.0     NaN
1   B     20.0     NaN
2   C     30.0    40.0
3   D      NaN    50.0
4   E      NaN    60.0
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7 lines

Here, the two series are first converted to dataframes (df1 and df2) with a common column 'Key'. Then, the two dataframes are merged on the 'Key' column, and the resultant dataframe merged_df contains the values of both the series.

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