w3resource

Pandas styling Exercises: Write a Pandas program to display the dataframe in table style

Pandas styling: Exercise-9 with Solution

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

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)
df.iloc[0, 2] = np.nan
df.iloc[3, 3] = np.nan
df.iloc[4, 1] = np.nan
df.iloc[9, 4] = np.nan
print("Original array:")
print(df)
print("\nDataframe - table style:")
# Set CSS properties for th elements in dataframe
th_props = [
  ('font-size', '12px'),
  ('text-align', 'center'),
  ('font-weight', 'bold'),
  ('color', '#6d6d6d'),
  ('background-color', '#f7ffff')
  ]

# Set CSS properties for td elements in dataframe
td_props = [
  ('font-size', '12px')
  ]

# Set table styles
styles = [
  dict(selector="th", props=th_props),
  dict(selector="td", props=td_props)
  ]
(df.style
        .set_table_styles(styles))

Original array:

Original array:
      A         B         C         D         E
0   1.0  1.329212       NaN -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       NaN  0.850229
4   5.0       NaN  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       NaN

Dataframe - table style:

Sample Output:

Python Pandas: pandas styling exercise-9 output

Download the Jupyter Notebook from here.

Python Code Editor:

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

Previous: Create a dataframe of ten rows, four columns with random values. Write a Pandas program to highlight dataframe’s specific columns with different colors.
Next: Create a dataframe of ten rows, four columns with random values. Write a Pandas program to highlight the entire row in Yellow where a specific column value is greater than 0.5.

What is the difficulty level of this exercise?



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://w3resource.com/python-exercises/pandas/style/pandas-style-exercise-9.php