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Python Data Analysis Cookbook

You're reading from   Python Data Analysis Cookbook Clean, scrape, analyze, and visualize data with the power of Python!

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Product type Paperback
Published in Jul 2016
Publisher
ISBN-13 9781785282287
Length 462 pages
Edition 1st Edition
Languages
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (18) Chapters Close

Preface 1. Laying the Foundation for Reproducible Data Analysis FREE CHAPTER 2. Creating Attractive Data Visualizations 3. Statistical Data Analysis and Probability 4. Dealing with Data and Numerical Issues 5. Web Mining, Databases, and Big Data 6. Signal Processing and Timeseries 7. Selecting Stocks with Financial Data Analysis 8. Text Mining and Social Network Analysis 9. Ensemble Learning and Dimensionality Reduction 10. Evaluating Classifiers, Regressors, and Clusters 11. Analyzing Images 12. Parallelism and Performance A. Glossary
B. Function Reference C. Online Resources D. Tips and Tricks for Command-Line and Miscellaneous Tools Index

Matplotlib

The following method is used to get or set axis properties. For example, axis('off') turns off the axis lines and labels:

matplotlib.pyplot.axis(*v, **kwargs)

The following argument creates a new figure:

matplotlib.pyplot.figure(num=None, figsize=None, dpi=None, facecolor=None, edgecolor=None, frameon=True, FigureClass=<class 'matplotlib.figure.Figure'>, **kwargs)

The following argument turns the plot grids on or off:

matplotlib.pyplot.grid(b=None, which='major', axis='both', **kwargs)

The following argument plots a histogram:

matplotlib.pyplot.hist(x, bins=10, range=None, normed=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None, stacked=False, hold=None, **kwargs)

The following displays an image for array-like data:

matplotlib.pyplot.imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=None...
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