w3resource

Pandas Data Series: Stack two given series vertically and horizontally

 

Pandas: Data Series Exercise-37 with Solution

Write a Pandas program to stack two given series vertically and horizontally.

Sample Solution :

Python Code :

import pandas as pd
series1 = pd.Series(range(10))
series2 = pd.Series(list('pqrstuvwxy'))
print("Original Series:")
print(series1)
print(series2)
series1.append(series2)
df = pd.concat([series1, series2], axis=1)
print("\nStack two given series vertically and horizontally:")
print(df)

Sample Output:

Original Series:
0    0
1    1
2    2
3    3
4    4
5    5
6    6
7    7
8    8
9    9
dtype: int64
0    p
1    q
2    r
3    s
4    t
5    u
6    v
7    w
8    x
9    y
dtype: object

Stack two given series vertically and horizontally:
   0  1
0  0  p
1  1  q
2  2  r
3  3  s
4  4  t
5  5  u
6  6  v
7  7  w
8  8  x
9  9  y

Explanation:

series1 = pd.Series(range(10)): This code creates a Pandas Series object called ‘series1’ containing integers from 0 to 9, generated using the range() function.

series2 = pd.Series(list('pqrstuvwxy')): This code creates another Pandas Series object called ‘series2‘ containing characters from the string "pqrstuvwxy", generated using the list() function.

series1.append(series2): This code appends ‘series2’ to ‘series1’ and returns a new Series object that includes both Series objects.

df = pd.concat([series1, series2], axis=1): This code concatenates ‘series1’ and ‘series2’ horizontally using pd.concat() and stores the result in a DataFrame called df.

Finally print() function prints the DataFrame ‘df’.

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to convert given series into a dataframe with its index as another column on the dataframe.
Next: Write a Pandas program to check the equality of two given series.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://198.211.115.131/python-exercises/pandas/python-pandas-data-series-exercise-37.php