1. Matplotlib and Pandas

2. Matplotlib & Pandas Requires NumPy extension.
Provides powerful plotting commands.
Matplotlib Official Website
Pandas Official website

3. Matplotlib & Pandas Website: https://matplotlib.org
Getting Matplotlib:
Getting Pandas:
Installing Packages

4. matplotlib.pyplot
A collection of command style functions that make matplotlib work like MATLAB.
Each pyplot function makes some change to a figure.
For instance, creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.

5. matplotlib.pyplot import matplotlib.pyplot as plt plt.plot([1,2,3,4])
plt.ylabel('some numbers')
plt.show()
See link:

6. Matplotlib Try examples from this site:
Line chart
Histogram
Bar chart
Pie chart
Legend
Matplotlib save figure to image
Matplotlib update plot
Plot time with Matplot
Generate heatmap in matplotlib
Scatterplot
3d scatterplot
Subplot
Matrix correlation
Try examples from this site:

7. Pandas
Python Data Analysis Library pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
10 Minutes to pandas:
Pandas Basics (in Chinese):

8. Hands On Forest Fires Data Set
Dataset: forestfires.csv
Explanation of the data: forestfires-names.txt
Reference: