Best chart packages for Python!

Welcome back! Plotting data is one of the most important things a Data Scientist, Analyst or engineer can do, so let’s talk about some of the best chart packages for Python! Python is a very powerful language with tons of uses, one of them is developing some visuals with our data! Let’s go ahead and hit on some of the best chart packagers for this language!

Seaborn

This is by far one of my favorite charting packages within Python, it’s a very lightweight package with tons of functionality, to install this package use the following pip statement:

pip install seaborn
#OR
pip3 install seaborn

Developing out charts is very easy using this package as well, one of my favorite things with this package is the ability to bring in themes to make our charts look better! This is definitely one of my favorite packages to plotting our data within Python!

Click here to learn more about seaborn!

MatPlotLib

Next up we have MatPlotLib, this package is probably one of the most popular Python packages in general. MatPlotLib allows us to easily develop out charts from our data in our Python environment, to install this package use the following command:

python -m pip install -U matplotlib

This package has a lot of the same functionality as the others on this list, but to be completely honest I believe this may have the largest community behind it.

Click here to learn more about MatPlotLib

Plotly

Next up we have Plotly, an open source charting package for Python, to install this package use the following command:

pip install plotly
#OR
pip3 install plotly

Now this package has a large community behind it as well, very similar to others on this list. One of my favorite things with this package is that you’re able to make moving tables, as well as static visualizations as well!

Click here to learn more about Plotly!

Bokeh

Lastly we have Bokeh, another very popular package for plotting data within Python! To install this package use the following command:

pip install bokeh
#OR
pip3 install bokeh

My favorite thing about this package is that you’re able to post your charts in a web application, making it easier to share and interact with your data! If any of you have ever used RShiny, it’s very similar to that in my opinion.

There you have it, those are some of my favorite packages for plotting data in Python, let me know what your favorite plotting packages are!

As Always

As always, if you have any suggestions, thoughts or just want to connect, feel free to contact / follow me on Twitter! Also, below is a link to some of my favorite resources for learning programming, Python, R, Data Science, etc.

Data Scientist / Engineer

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