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Pandas styling Exercises: Write a Pandas program to make a gradient color mapping on a specified column

Pandas styling: Exercise-12 with Solution

Create a dataframe of ten rows, four columns with random values. Write a Pandas program to make a gradient color mapping on a specified column.

Sample Solution :

Python Code :

import pandas as pd
import numpy as np
np.random.seed(24)
df = pd.DataFrame({'A': np.linspace(1, 10, 10)})
df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))],
               axis=1)
print("Original array:")
print(df)
print("\nDataframe - Gradient color:")
df.style.background_gradient(subset=['C'])

Original array:

Original array:
      A         B         C         D         E
0   1.0  1.329212 -0.770033 -0.316280 -0.990810
1   2.0 -1.070816 -1.438713  0.564417  0.295722
2   3.0 -1.626404  0.219565  0.678805  1.889273
3   4.0  0.961538  0.104011 -0.481165  0.850229
4   5.0  1.453425  1.057737  0.165562  0.515018
5   6.0 -1.336936  0.562861  1.392855 -0.063328
6   7.0  0.121668  1.207603 -0.002040  1.627796
7   8.0  0.354493  1.037528 -0.385684  0.519818
8   9.0  1.686583 -1.325963  1.428984 -2.089354
9  10.0 -0.129820  0.631523 -0.586538  0.290720

Dataframe - Gradient color:

Sample Output:

Python Pandas: pandas styling exercise-12 output

Download the Jupyter Notebook from here.

Python Code Editor:


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Previous: Create a dataframe of ten rows, four columns with random values. Write a Pandas program to display the dataframe in Heatmap style.

Next: Create a dataframe of ten rows, four columns with random values. Write a Pandas program to make a gradient color on all the values of the said dataframe.

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Python: Tips of the Day

Returns the transpose of a two-dimensional list

Example:

def tips_transpose(lst):
  return list(zip(*lst))

print(tips_transpose([[2, 4, 6], [1, 3, 5], [8, 10, 12], [7, 9, 11]]))

Output:

[(2, 1, 8, 7), (4, 3, 10, 9), (6, 5, 12, 11)]