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Pretty Tables with PANDAS
Been teaching myself about using color-coded tables in PANDAS and exporting them to HTML and JPG as social media graphics. For example, this table show the 7-day rolling average of COVID positive tests, with low values highlighted green, and high values highlighted red. The background colors make the table much easier to read and interprete.
| County | Albany | Greene | Saratoga | Schoharie | Schenectady | Rensselaer | Washington |
|---|---|---|---|---|---|---|---|
| Test Date | |||||||
| Jul 25 | 2.3 | 4.5 | 3.3 | 2.3 | 2.8 | 1.8 | 1.4 |
| Jul 26 | 2.5 | 5.2 | 3.8 | 2.3 | 2.8 | 1.9 | 1.7 |
| Jul 27 | 2.7 | 5.6 | 4.0 | 2.0 | 3.0 | 2.3 | 2.1 |
| Jul 28 | 2.8 | 5.6 | 4.5 | 3.1 | 3.4 | 2.5 | 2.3 |
| Jul 29 | 3.0 | 4.3 | 4.6 | 3.8 | 3.2 | 3.1 | 2.3 |
| Jul 30 | 3.3 | 3.7 | 4.6 | 4.2 | 3.5 | 3.2 | 2.1 |
| Jul 31 | 3.3 | 3.8 | 4.5 | 5.3 | 3.9 | 3.5 | 2.6 |
| Aug 01 | 3.6 | 2.8 | 4.7 | 4.9 | 4.2 | 3.7 | 2.6 |
| Aug 02 | 4.1 | 2.1 | 4.6 | 4.6 | 4.7 | 4.3 | 3.5 |
| Aug 03 | 4.4 | 2.1 | 4.4 | 4.8 | 4.6 | 4.1 | 3.3 |
| Aug 04 | 4.4 | 2.2 | 4.4 | 4.4 | 4.5 | 4.1 | 3.4 |
| Aug 05 | 4.5 | 3.1 | 4.4 | 5.1 | 4.8 | 4.0 | 3.7 |
| Aug 06 | 4.8 | 3.7 | 4.4 | 5.4 | 4.9 | 4.4 | 3.8 |
| Aug 07 | 4.9 | 3.5 | 4.7 | 5.2 | 5.1 | 4.5 | 3.9 |
| Aug 08 | 5.3 | 4.2 | 4.7 | 6.5 | 5.3 | 4.2 | 4.0 |
| Aug 09 | 5.1 | 4.4 | 4.7 | 8.0 | 5.7 | 4.1 | 3.9 |
| Aug 10 | 5.1 | 4.4 | 4.6 | 8.1 | 5.7 | 4.3 | 4.1 |
| Aug 11 | 4.9 | 4.8 | 4.3 | 8.1 | 5.8 | 4.4 | 4.4 |
| Aug 12 | 4.8 | 5.0 | 4.7 | 7.7 | 5.9 | 4.4 | 4.1 |
| Aug 13 | 4.7 | 4.6 | 4.6 | 7.9 | 5.9 | 4.4 | 4.3 |
| Aug 14 | 4.9 | 5.0 | 4.5 | 7.1 | 5.9 | 4.4 | 4.0 |
| Aug 15 | 4.6 | 5.1 | 4.4 | 6.5 | 6.6 | 4.8 | 4.1 |
| Aug 16 | 4.6 | 5.8 | 4.3 | 5.5 | 6.2 | 4.7 | 4.2 |
| Aug 17 | 4.6 | 5.1 | 4.3 | 4.9 | 6.2 | 4.9 | 4.6 |
| Aug 18 | 4.6 | 4.9 | 4.5 | 4.8 | 6.6 | 5.0 | 4.5 |
| Aug 19 | 4.5 | 4.1 | 4.2 | 4.1 | 6.3 | 4.7 | 4.2 |
| Aug 20 | 4.3 | 4.5 | 4.4 | 3.6 | 6.0 | 4.8 | 4.1 |
| Aug 21 | 4.1 | 5.0 | 4.4 | 3.9 | 5.6 | 4.7 | 4.0 |
| Aug 22 | 4.1 | 4.5 | 4.5 | 3.3 | 5.1 | 4.7 | 3.8 |
| Aug 23 | 4.2 | 4.6 | 5.0 | 3.7 | 5.0 | 4.5 | 3.4 |
The code to make this table is quite simple to, as is most things in PANDAS once your learn the basic codes.
import pandas as pd
df=pd.read_csv("https://health.data.ny.gov/api/views/xdss-u53e/rows.csv?accessType=DOWNLOAD", parse_dates=['Test Date'])
# create pivot table
tr=df.pivot(index='Test Date', columns='County', values='Rolling Positive Rate').tail(30)[['Albany','Greene','Saratoga','Schoharie','Schenectady','Rensselaer','Washington']]
# format index text
tr.index = tr.index.strftime("%b %d")
# red-green palette
import seaborn as sns
cm = sns.diverging_palette(150, 10, s=80, l=55, n=9, as_cmap=True)
# display in jupyter
tr.style.background_gradient(cmap=cm)
# export to HTML table (shown above)
with open('/tmp/covid-weekly.html', 'w') as f:
f.write(tr.style.background_gradient(cmap=cm).render())
# alternatively, export as an HTML image using dataframe_image library (pip install dataframe_image)
import dataframe_image as dfi
dfi.export(tr.style.background_gradient(cmap=cm), '/tmp/covid-alt.table.png')