pypiplot 1.0.1

Python package to count and plot the number of downloads from Pypi.

pypiplot

• pypiplot is Python package to count and plot the number of downloads from Pypi.

Installation

• Install pypiplot from PyPI (recommended). pypiplot is compatible with Python 3.6+ and runs on Linux, MacOS X and Windows.

pip install pypiplot    # normal install
pip install -U pypiplot # or update if needed

Import pypiplot package

import pypiplot as pypiplot

Example update repos to disk:

from pypiplot import pypiplot

# Download all data for github user.
pp = pypiplot(username='erdogant')

# Update all repos
pp.update()

# Update single repo
pp.update(repo=['bnlearn','hnet'])

Example show repo download stats:

from pypiplot import pypiplot

# Download all data for github user.
pp = pypiplot(username='erdogant')

# Get total stats across all repos
results = pp.stats()

# Get some stats
results = pp.stats(repo=['df2onehot','pca','bnlearn'])

print(results.keys())
# ['data', 'heatmap', 'n_libraries', 'repos']

# Print data
print(results['data'])

#             bnlearn  df2onehot    pca
# date                                 
# 2020-05-01    100.0       18.0  281.0
# 2020-05-02      6.0        4.0  260.0
# 2020-05-03     50.0       16.0  126.0
# 2020-05-04     82.0       64.0   86.0
# 2020-05-05     64.0      157.0   50.0
#             ...        ...    ...
# 2020-09-11    148.0      213.0   78.0
# 2020-09-12     96.0      102.0  144.0
# 2020-09-13     12.0       42.0  197.0
# 2020-09-14    156.0       92.0  244.0
# 2020-09-15     40.0       76.0  225.0

Example make plots

pp.plot_year(title='pypiplot')
pp.plot(title='pypiplot')

Change some of the colors and the minimum cut-off value

pp.plot_year(vmin=100, cmap='interpolateYlOrRd')
pp.plot(vmin=100, cmap='interpolateYlOrRd')

Plot all repos for github username

# Download all data for github user.
pp = pypiplot(username='erdogant')

# Get total stats across all repos
results = pp.stats()

# Get some stats
results = pp.stats()

pp.plot_year(vmin=700, title='Total downloads across all repos')
pp.plot(vmin=100)

Run pypiplot from terminal

Arguments:

* "-u", "--username" : username github
* "-l", "--library"  : library name(s)
* "-p", "--path"     : path name to store plot.
* "-v", "--vmin"     : minimun value of the figure.

> python pypiplot/pypiplot.py -u 'erdogant' -p 'C://pypi_heatmap.html' -v '700'

Citation

Please cite pypiplot in your publications if this is useful for your research. Here is an example BibTeX entry:

@misc{erdogant2020pypiplot,
  title={pypiplot},
  author={Erdogan Taskesen},
  year={2020},
  howpublished={\url{https://github.com/erdogant/pypiplot}},
}

References

• https://github.com/erdogant/pypiplot

Maintainer

• Erdogan Taskesen, github: erdogant
• Contributions are welcome.
• If you wish to buy me a Coffee for this work, it is very appreciated :) Star it if you like it!