This appendix lists useful functions organized by packages for matplotlib, NumPy, pandas, scikit-learn, and SciPy.
The following are useful matplotlib functions:
matplotlib.pyplot.axis(*v, **kwargs): This is the method to get or set axis properties. For example,axis('off')turns off the axis lines and labels.matplotlib.pyplot.figure(num=None, figsize=None, dpi=None, facecolor=None, edgecolor=None, frameon=True, FigureClass=<class 'matplotlib.figure.Figure'>, **kwargs): This function creates a new figure.matplotlib.pyplot.grid(b=None, which='major', axis='both', **kwargs): This function turns the plot grids on or off.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): This function plots a histogram.matplotlib.pyplot.imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=None, vmin=None, vmax=None, origin=None, extent=None, shape=None, filternorm=1, filterrad=4.0, imlim=None, resample=None, url=None, hold=None, **kwargs): This function displays an image for array-like data.matplotlib.pyplot.legend(*args, **kwargs): This function shows a legend at an optionally specified location (for instance,plt.legend(loc='best')).matplotlib.pyplot.plot(*args, **kwargs): This function creates a two-dimensional plot with single or multiple (x, y) pairs and a corresponding optional format string.matplotlib.pyplot.scatter(x, y, s=20, c='b', marker='o', cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=None, hold=None, **kwargs): This function creates a scatter plot of two arrays.matplotlib.pyplot.show(*args, **kw): This function displays a plot.matplotlib.pyplot.subplot(*args, **kwargs): This function creates subplots if the row number, column number, and index number of the plot are given. All these numbers start from one. For instance,plt.subplot(221)creates the first subplot in a two-by-two grid.matplotlib.pyplot.title(s, *args, **kwargs): This function puts a title on the plot.
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