Pandas Data Series: Convert a dictionary to a Pandas series

Last update on May 01 2025 12:54:14 (UTC/GMT +8 hours)

5. Dict to Series

Write a Pandas program to convert a dictionary to a Pandas series.

Sample dictionary: d1 = {'a': 100, 'b': 200, 'c':300, 'd':400, 'e':800}

Sample Solution :

Python Code :

import pandas as pd
d1 = {'a': 100, 'b': 200, 'c':300, 'd':400, 'e':800}
print("Original dictionary:")
print(d1)
new_series = pd.Series(d1)
print("Converted series:")
print(new_series)

Sample Output:

Original dictionary:
{'a': 100, 'b': 200, 'c': 300, 'd': 400, 'e': 800}
Converted series:
a    100
b    200
c    300
d    400
e    800
dtype: int64

Explanation:

In the above example –

d1 = {'a': 100, 'b': 200, 'c':300, 'd':400, 'e':800}: This line creates a Python dictionary 'd1' with five key-value pairs. Each key is a string ('a', 'b', 'c', 'd', 'e') and each value is an integer.

new_series = pd.Series(d1): This line creates a new Pandas Series object 'new_series' from the dictionary 'd1' using the pd.Series() constructor. The resulting Series object will have the same keys as the dictionary and the corresponding values as its elements.

For more Practice: Solve these Related Problems:

Write a Pandas program to convert a nested dictionary into a Series and flatten its hierarchical index.
Write a Pandas program to convert a dictionary with non-string keys to a Series and then convert the keys to strings.
Write a Pandas program to convert a dictionary with missing keys to a Series with a specified default value for missing keys.
Write a Pandas program to convert a dictionary to a Series and then sort the Series based on the dictionary values in descending order.

Go to:

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Python-Pandas Code Editor:

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