w3resource

Calculating cumulative sum in Pandas DataFrame with NumPy array

Python Pandas Numpy: Exercise-12 with Solution

Calculate the cumulative sum of a NumPy array and store the results in a new Pandas DataFrame column.

Sample Solution:

Python Code:

import pandas as pd
import numpy as np

# Create a sample DataFrame
data = {'Values': [100, 200, 300, 400, 500]}

df = pd.DataFrame(data)

# Create a NumPy array from the 'Values' column
numpy_array = np.array(df['Values'])

# Calculate the cumulative sum and store in a new column 'Cumulative_Sum'
df['Cumulative_Sum'] = np.cumsum(numpy_array)

# Display the updated DataFrame
print(df)

Output:

   Values  Cumulative_Sum
0     100             100
1     200             300
2     300             600
3     400            1000
4     500            1500

Explanation:

In the exerciser above -

  • First we create a sample DataFrame (df) with a column 'Values'.
  • Next we convert the 'Values' column to a NumPy array using np.array().
  • The np.cumsum(numpy_array) function calculates the cumulative sum of the NumPy array.
  • The result is assigned to a new column 'Cumulative_Sum' in the DataFrame.
  • The updated DataFrame is then printed to the console.

Flowchart:

Flowchart: Calculating cumulative sum in Pandas DataFrame with NumPy array.

Python Code Editor:

Previous: Calculating correlation matrix for DataFrame in Python.
Next: Grouping DataFrame by column and calculating mean in Python.

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_numpy/pandas_numpy-exercise-12.php