Neptune-Matplotlib Integration

This integration lets you log charts generated in matplotlib, like confusion matrix or distribution, in Neptune.

Follow these steps:

0. Create an experiment:

   import neptune
   
   neptune.init(api_token='ANONYMOUS',project_qualified_name='shared/showroom')
   neptune.create_experiment()
   

1. Create a matplotlib figure:

   For example:

   # matplotlib figure example 2
   from matplotlib import pyplot
   import numpy
   
   numpy.random.seed(19680801)
   data = numpy.random.randn(2, 100)
   
   figure, axs = pyplot.subplots(2, 2, figsize=(5, 5))
   axs[0, 0].hist(data[0])
   axs[1, 0].scatter(data[0], data[1])
   axs[0, 1].plot(data[0], data[1])
   axs[1, 1].hist2d(data[0], data[1])
   

2. Log figure into Neptune:

Log as static image

experiment.log_image('diagrams', figure)

Log as interactive plotly chart

from neptunecontrib.api import log_chart

log_chart(name='matplotlib_figure', chart=figure)

3. Explore the results in the Neptune dashboard:

Static image is logged into the logs section:

Interactive figure is logged as artifact into the charts folder. Check out this experiment in the app.