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Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Python developers who want to learn Matplotlib need look no further. This book covers it all with a practical approach including lots of code and images. Take this chance to learn 2D plotting through real-world examples.

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Product type Paperback
Published in Nov 2009
Publisher Packt
ISBN-13 9781847197900
Length 308 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Matplotlib for Python Developers
Credits
About the Author
About the Reviewers
1. Preface
1. Introduction to Matplotlib FREE CHAPTER 2. Getting Started with Matplotlib 3. Decorate Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+ 6. Embedding Matplotlib in Qt 4 7. Embedding Matplotlib in wxWidgets 8. Matplotlib for the Web 9. Matplotlib in the Real World

Plotting dates


Sooner or later, we all have had the need to plot some information over time, be it for the bank account balance each month, the total web site accesses for each day of the year, or one of many other reasons.

Matplotlib has a plotting function ad hoc for dates, plot_date() that considers data on X, Y, or both axes, as dates, labeling the axis accordingly.

As usual, we now present an example, and we will discuss it later:

In [1]: import matplotlib as mpl
In [2]: import matplotlib.pyplot as plt
In [3]: import numpy as np
In [4]: import datetime as dt
In [5]: dates = [dt.datetime.today() + dt.timedelta(days=i) \
...: for i in range(10)]
In [6]: values = np.random.rand(len(dates))
In [7]: plt.plot_date(mpl.dates.date2num(dates), values, linestyle='-');
In [8]: plt.show()

First, a note about linestyle keyword argument: without it, there's no line connecting the markers that are displayed alone.

We created the dates array using timedelta(), a datetime function that helps us define...

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