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© 2019 by SciPy.

Thank you so much for registering for our tutorial and your interest in Matplotlib!

 

We strongly recommend that you use the Anaconda Python platform for this tutorial. Instructions for installing Anaconda can be found here:

Any 3.X version of Python is acceptable. Once you have a working Anaconda install, please open the conda terminal and type:

 

conda install -c conda-forge matplotlib jupyter pandas -y 

 

More detailed instructions for using conda to install libraries can be found at 

If for whatever reason Anaconda does not work, you can install Matplotlib using the pip package installer. First open a command line or terminal prompt and then type:

 

python -m pip install -U pip 
python -m pip install -U matplotlib 

python -m pip install -U pandas

 

If you are unfamiliar with command or terminal prompts, more information can be found at:

This tutorial uses Jupyter notebook as the programming environment. More information about opening and working with a Jupyter notebook can be found at 

 

To test the install, please open a Jupyter notebook and type the following in a cell:

 

 

%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv("http://bit.ly/tscv17")
fig, ax = plt.subplots()
_ = ax.plot(sorted(df['Age']), 'o')
 

 

Then execute the cell and this figure should appear:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

If the install fails, please reach out to us on the tutorial slack channel. As a back up measure, we will also provide an online interactive environment. 

 

We also hope to hear from you on the slack about all things visualization and what you would like to get out of the tutorial. 

Matplotlib Tutorial Instructions