Stack two Pandas series vertically and horizontally

In this article we’ll see how we can stack two Pandas series both vertically and horizontally. We stack these lists to combine some data in a DataFrame for a better visualization of the data, combining different data, etc. Now let’s see with the help of examples how we can do this.

Stacking Horizontally : We can stack 2 Pandas series horizontally by passing them in the pandas.concat() with the parameter axis = 1.
Example :

# importing the module
import pandas as pd

# creating the series
series1 = pd.Series(['g', 'e', 'e', 'k', 's'])
print("Series 1:")
print(series1)
series2 = pd.Series([9, 8, 7, 6, 5])
print("Series 2:")
print(series2)

# stacking the series horizontally
df = pd.concat([series1, series2], axis = 1)
print("\nStack two series horizontally:")
display(df)

Output :

Stacking Vertically : We can stack 2 Pandas series vertically by passing them in the pandas.concat() with the parameter axis = 0.
Example :

# importing the module
import pandas as pd

# creating the series
series1 = pd.Series(['g', 'e', 'e', 'k', 's'])
print("Series 1:")
print(series1)
series2 = pd.Series([9, 8, 7, 6, 5])
print("Series 2:")
print(series2)

# stacking the series vertically
df = pd.concat([series1, series2], axis = 0)
print("\nStack two series vertically:")
display(df)

Output :