Using knitractive with Python

View the corresponding python.Rmd file to learn more about how this page was generated.

In this example, we’re using the continuumio/anaconda3 docker image to run Python.

Python 3.11.7 (main, Dec 15 2023, 18:04:41) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> import pandas as pd
>>> import matplotlib
>>>
>>> matplotlib.use('agg')
>>> pd.__version__
'2.1.4'

Because knitractive employs the tmuxr package under the hood, the python session is maintained, and we can continue where we left off.

>>> ts = pd.DataFrame({"value": np.random.randn(1000)},
...                   index=pd.date_range('1/1/2000',
...                   periods=1000))
>>> ts = ts.cumsum()
>>> ts.head()

	value
2000-01-01	-0.646534
2000-01-02	-2.089517
2000-01-03	-1.474982
2000-01-04	-1.744851
2000-01-05	-1.800663

We’ve mapped the current working directory on the host to the directory /data/ inside the docker container, so that we can include generated figures.

>>> ts.plot()

View the corresponding python.Rmd file to learn more about how this page was generated.

Jeroen Janssens

2024-04-26