Matplotlib is a plotting library. It relies on some backend to actually render
the plots. The default backend is the agg backend. This backend only renders
PNGs. On Jupyter notebooks the matplotlib backends are special as they are
rendered to the browser. Generally you will not need to explicitly set the
backend on a Jupyter notebook. This does introduce a discrepancy between code
that runs in Jupyter and code that runs as a script natively in the Python
interpreter. So you need to understand that the 2 environments are not the same
LouisAmon
/ json_to_gzip.py
Created
July 26, 2018 12:49
How to compress JSON-able data using gzip (Python 3)
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| import json | |
| import gzip | |
| def compress_data(data): | |
| # Convert to JSON | |
| json_data = json.dumps(data, indent=2) | |
| # Convert to bytes | |
| encoded = json_data.encode('utf-8') | |
| # Compress | |
| compressed = gzip.compress(encoded) |
CMCDragonkai
/ Matplotlib Backends.md
Last active
February 12, 2023 13:22
Matplotlib Backends #matplotlib #python
Overview: http://matplotlib.org/faq/usage_faq.html#usage
Multiple, manual Axes: https://python4mpia.github.io/plotting/advanced.html
Another intro article http://pbpython.com/effective-matplotlib.html