In this post I want to share my experience with Markdown tables and pandas data frames. I wanted to format pandas data frames as Markdown tables unfortunately the original outlook is unreadable and ugly. You can compare the difference in the image below:
Let say that we have the next pandas dataframe and table. And you wanted to show it as Markdown table with better format including borders:
import pandas as pd
df = pd.DataFrame({'Date': ['08/09/2018', '10/09/2018', '09/09/2018', '04/09/2018', '08/09/2018', '10/09/2018',
'09/09/2018', '04/09/2018'],
'Company': ['Samsung', 'Samsung', 'Samsung', 'Samsung', 'Sony', 'Sony', 'Sony', 'Sony'],
'Promotions': [54, 56, 54, 4, 3, 34, 32, 15],
'Sells': [23, 34, 54, 6, 96, 45, 3, 12]})
print(df)
raw data frame output:
Company Date Promotions Sells Total
0 Samsung 08/09/2018 54 23 57
1 Samsung 10/09/2018 56 34 90
2 Samsung 09/09/2018 54 54 86
3 Samsung 04/09/2018 4 6 19
4 Sony 08/09/2018 3 96 57
5 Sony 10/09/2018 34 45 90
6 Sony 09/09/2018 32 3 86
7 Sony 04/09/2018 15 12 19
table formatted after excel and using site conversion:
Company | Date | Promotions | Sells | Total | |
---|---|---|---|---|---|
0 | Samsung | 8/9/2018 | 54 | 23 | 57 |
1 | Samsung | 10/9/2018 | 56 | 34 | 90 |
2 | Samsung | 9/9/2018 | 54 | 54 | 86 |
3 | Samsung | 4/9/2018 | 4 | 6 | 19 |
4 | Sony | 8/9/2018 | 3 | 96 | 57 |
5 | Sony | 10/9/2018 | 34 | 45 | 90 |
6 | Sony | 9/9/2018 | 32 | 3 | 86 |
7 | Sony | 4/9/2018 | 15 | 12 | 19 |
You can do this by:
- get the raw pandas output from your python console
- copy paste it in Excel, Libre Calc - by using text import and spaces
- use site conversion from Excel to Markdown table:
- Paste the output to your Markdown page
- The final touch is to add borders to your Markdown file like:
<style>
table{
border-collapse: collapse;
border-spacing: 0;
border:2px solid #000000;
}
th{
border:2px solid #000000;
}
td{
border:1px solid #000000;
}
</style>
For example if you use Ghost Blog you can do(for single post):
- Open the post for edit
- Settings of the post
- Code injection
- Post header
- paste the code above
And now your Markdown tables/ pandas dataframes will be much more readable, user friendly and easy for the reader.