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