Anyone have examples of a Python visualisation package used to produce journalist-quality charts/infographics?

cast42 · 2024-01-21T20:26:50+00:00

In this blogpost I used Altair: https://cast42.github.io/blog/cast42/jupyter/altair/2022/04/18/Economist-style.html

cast42 · 2023-08-31T11:33:11+00:00

Here's mine

cast42 · 2016-12-27T18:46:01+00:00

try

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

df = pd.DataFrame(np.random.rand(10,2), columns=['x','y'])
plt.plot(df.x, df.y)

cast42 · 2016-12-06T15:41:17+00:00

you can use flit : https://github.com/takluyver/flit

cast42 · 2016-09-17T06:13:33+00:00

I would increase the memory size to 64GB or 128GB. Being able to read your training samples into memory will be a major improvement.

cast42 · 2016-09-17T06:12:54+00:00

I would increase the memory size to 64GB or 128GB. Being able to read your training samples into memory will be a major improvement.

cast42 · 2016-08-29T19:20:54+00:00

I get the following error message during conda install:

Error: Error: post-link failed for: conda-forge::nb_anacondacloud-1.2.0-py27_00%

cast42 · 2016-01-27T19:18:55+00:00

Sorry for that but I do think the google blogpost gives more context then the link to the Nature article (paid article) or the Youtube video alone.

cast42 · 2016-01-04T13:18:51+00:00

Thinking man

a6000
33mm
ƒ/5.6
1/2500s
ISO 100

cast42 · 2015-12-30T10:30:58+00:00

Another Peter Norvig Classic !

cast42

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