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Simple live value plotter using Matplotlib

Project description


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Develocorder is a simple live value plotter for Python3 using Matplotlib. It is intended to give insights into the training of machine learning models / reinforcement learning agents with only minimal effort to add to existing code.

Original Develocorder

(image source)


$ pip install develocorder

Simple Example

# initialize once

# add values to plot from anywhere in code
for _ in range(10):

See examples/


Simple Example

Fancy Example

Some more features:

# axis labels
set_recorder(labeled=LinePlot(xlabel="Episode", ylabel="Score"))

# additional filtered values (window filter)

# maximum history length

# downsampled values (record mean of every filter_size values)

# multiple curves for recording 1d-array values

# heatmap for recording 1d-array values

# minimum update period (limit update rate for better performance)
set_update_period(0.5)  # [seconds]

# set number of columns

See examples/

Fancy Example

Jupyter notebook

For use in a Jupyter notebook use the %matplotlib notebook backend. As of now you cannot rerun the cell which is showing the plot without restarting the notebook, otherwise the plot will disappear.

See examples/simple.ipynb


  • [ ] document how to extend
  • [ ] better support for jupyter notebook
  • [ ] add new plot types
  • [ ] persistent storage/loading of log

Project details

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