Add a Pandas series to another Pandas series

Let us see how to add a Pandas series to another series in Python. This can be done using 2 ways:

• append()
• concat()

Method 1: Using the append() function: It appends one series object at the end of another series object and returns an appended series. The attribute, ignore_index=True is used when we do not use index values on appending, i.e., the resulting index will be 0 to n-1. By default, the value of the ignore_index attribute is False.

# importing the module
import pandas as pd

# create 2 series objects
series_1 = pd.Series([2, 4, 6, 8])
series_2 = pd.Series([10, 12, 14, 16])

# adding series_2 to series_1 using the append() function
series_1 = series_1.append(series_2, ignore_index=True)

# displaying series_1
print(series_1)

Output:

Appending two Series without using ignore_index attribute:

# importing the module
import pandas as pd
 
# create 2 series objects
series_1 = pd.Series([2, 4, 6, 8])
series_2 = pd.Series([10, 12, 14, 16])
 
# adding series_2 to series_1 using the append() function
series_1 = series_1.append(series_2)

# displaying series_1
print(series_1)

Output:

0     2
1     4
2     6
3     8
0    10
1    12
2    14
3    16
dtype: int64

Note: If we don't use ignore_index attribute, then the second series will use its own index upon appending operation.

Method 2: Using the concat() function: It takes a list of series objects that are to be concatenated as an argument and returns a concatenated series along an axis, i.e., if axis=0, it will concatenate row-wise and if axis=1,  the resulting Series will be concatenated column-wise.

# importing the module
import pandas as pd

# create 2 series objects
series_1 = pd.Series([2, 4, 6, 8])
series_2 = pd.Series([10, 12, 14, 16])

# adding series_2 to series_1 using the concat() function
series_1 = pd.concat([series_1, series_2], axis=0)

# displaying series_1
print(series_1)

Output:

Concatenating two Series column-wise:

# importing the module
import pandas as pd

# create 2 series objects
series_1 = pd.Series([2, 4, 6, 8])
series_2 = pd.Series([10, 12, 14, 16])

# adding series_2 to series_1 using the concat() function
series_1 = pd.concat([series_1, series_2],axis=1)

# displaying series_1
print(series_1)

Output:

     0   1
0  2  10
1  4  12
2  6  14
3  8  16

Note: When concatenation done on two Series column-wise, then the result will be a DataFrame.

type(series_1)
pandas.core.frame.DataFrame

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