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131 lines
4.7 KiB
Markdown
131 lines
4.7 KiB
Markdown
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[#]: collector: (lujun9972)
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[#]: translator: ( )
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[#]: reviewer: ( )
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[#]: publisher: ( )
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[#]: url: ( )
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[#]: subject: (Style your data plots in Python with Pygal)
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[#]: via: (https://opensource.com/article/20/6/pygal-python)
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[#]: author: (Shaun Taylor-Morgan https://opensource.com/users/shaun-taylor-morgan)
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Style your data plots in Python with Pygal
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======
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An introduction one of the more stylish Python plotting libraries.
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![Python in a coffee cup.][1]
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[Python][2] is full of libraries that can visualize data. One of the more interactive options comes from Pygal, which I consider the library for people who like things to look good. It generates beautiful SVG (Scalable Vector Graphics) files that users can interact with. SVG is a standard format for interactive graphics, and it can lead to rich user experiences with only a few lines of Python.
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### Using Pygal for stylish Python plots
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In this introduction, we want to recreate this multi-bar plot, which represents the UK election results from 1966 to 2020:
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![Pygal plot][3]
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Before we go further, note that you may need to tune your Python environment to get this code to run, including the following.
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* Running a recent version of Python (instructions for [Linux][4], [Mac][5], and [Windows][6])
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* Verify you're running a version of Python that works with these libraries
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The data is available online and can be imported using pandas:
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```
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import pandas as pd
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df = pd.read_csv('<https://anvil.works/blog/img/plotting-in-python/uk-election-results.csv>')
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```
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Now we're ready to go. The data looks like this:
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```
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year conservative labour liberal others
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0 1966 253 364 12 1
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1 1970 330 287 6 7
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2 Feb 1974 297 301 14 18
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.. ... ... ... ... ...
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12 2015 330 232 8 80
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13 2017 317 262 12 59
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14 2019 365 202 11 72
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```
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Plotting this in Pygal builds up in a way that I find easy to read. First, we define the style object in a way that will simplify our bar chart definition. Then we pass the custom style along with other metadata to a `Bar` object:
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```
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import pygal
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from pygal.style import Style
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custom_style = Style(
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colors=('#0343df', '#e50000', '#ffff14', '#929591'),
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font_family='Roboto,Helvetica,Arial,sans-serif',
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background='transparent',
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label_font_size=14,
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)
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c = pygal.Bar(
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title="UK Election Results",
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style=custom_style,
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y_title='Seats',
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width=1200,
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x_label_rotation=270,
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)
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```
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Then, we `add` our data into the `Bar` object:
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```
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c.add('Conservative', df['conservative'])
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c.add('Labour', df['labour'])
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c.add('Liberal', df['liberal'])
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c.add('Others', df['others'])
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c.x_labels = df['year']
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```
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Finally, we save the plot as an SVG file:
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```
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`c.render_to_file('pygal.svg')`
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```
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The result is an interactive SVG plot you can see in this gif:
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![The Python pygal library can generate rich SVG files as seen here][7]
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Beautifully simple, and with beautiful results.
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### Conclusion
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Some plotting options in Python require building every object in great detail, and Pygal gives you that functionality from the start. Give Pygal a go if you have data on hand and you want to make a clean, beautiful, and simple plot for user interaction.
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\---
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_This article was first shared [here][8] and is edited and republished with permission._
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--------------------------------------------------------------------------------
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via: https://opensource.com/article/20/6/pygal-python
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作者：[Shaun Taylor-Morgan][a]
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选题：[lujun9972][b]
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译者：[译者ID](https://github.com/译者ID)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://opensource.com/users/shaun-taylor-morgan
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[b]: https://github.com/lujun9972
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[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/coffee_python.jpg?itok=G04cSvp_ (Python in a coffee cup.)
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[2]: https://opensource.com/article/20/4/plot-data-python
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[3]: https://opensource.com/sites/default/files/uploads/pygal_1.png (Pygal plot)
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[4]: https://opensource.com/article/20/4/install-python-linux
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[5]: https://opensource.com/article/19/5/python-3-default-mac
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[6]: https://opensource.com/article/19/8/how-install-python-windows
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[7]: https://opensource.com/sites/default/files/uploads/pygal-interactive_3.gif (The Python pygal library can generate rich SVG files as seen here)
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[8]: https://anvil.works/blog/plotting-in-pygal
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