
Research
/Security News
Contagious Interview Campaign Escalates With 67 Malicious npm Packages and New Malware Loader
North Korean threat actors deploy 67 malicious npm packages using the newly discovered XORIndex malware loader.
plottable is a Python library for plotting beautifully customized, presentation ready tables in Matplotlib.
To learn about its functionality, have a look at the documentation.
pip install plottable
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from plottable import Table
d = pd.DataFrame(np.random.random((5, 5)), columns=["A", "B", "C", "D", "E"]).round(2)
fig, ax = plt.subplots(figsize=(6, 5))
tab = Table(d)
plt.show()
You can find the notebook here
Please take a look at the Contributor Guide
plottable is built for the lack of good table packages in the python ecosystem. It draws inspiration from R packages gt and reactable, from blog posts about creating tables in matplotlib Tim Bayer: How to create custom tables and Son of a corner: Beautiful Tables in Matplotlib, a Tutorial and from matplotlibs own table module.
FAQs
Beautifully customized tables with matplotlib
We found that plottable demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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