Chart width settings in ipython notebook

Question

I have the following graphs:

It would be better if they had the same width. Do you know how to do this in an ipython laptop when I use %matplotlib inline ?

UPDATE:

To generate both shapes, I use the following functions:

 import numpy as np import matplotlib.pyplot as plt def show_plots2d(title, plots, points, xlabel = '', ylabel = ''): """ Shows 2D plot. Arguments: title : string Title of the plot. plots : array_like of pairs like array_like and array_like List of pairs, where first element is x axis and the second is the y axis. points : array_like of pairs like integer and integer List of pairs, where first element is x coordinate and the second is the y coordinate. xlabel : string Label of x axis ylabel : string Label of y axis """ xv, yv = zip(*plots) y_exclNone = [y[y != np.array(None)] for y in yv] y_mins, y_maxs = zip(* [(float(min(y)), float(max(y))) for y in y_exclNone] ) y_min = min(y_mins) y_max = max(y_maxs) y_amp = y_max - y_min plt.figure().suptitle(title) plt.axis( [xv[0][0], xv[0][-1], y_min - 0.3 * y_amp, y_max + 0.3 * y_amp] ) plt.xlabel(xlabel) plt.ylabel(ylabel) for x, y in plots: plt.plot(x, y) for x, y in points: plt.plot(x, y, 'bo') plt.show() def show_plot3d(title, x, y, z, xlabel = '', ylabel = '', zlabel = ''): """ Shows 3D plot. Arguments: title : string Title of the plot. x : array_like List of x coordinates y : array_like List of y coordinates z : array_like List of z coordinates xlabel : string Label of x axis ylabel : string Label of y axis zlabel : string Label of z axis """ plt.figure().suptitle(title) plt.pcolormesh(x, y, z) plt.axis([x[0], x[-1], y[0], y[-1]]) plt.xlabel(xlabel) plt.ylabel(ylabel) plt.colorbar().set_label(zlabel) plt.show() 

Answer 1

If you use %pylab inline , you can (on a new line) insert the following command:

 %pylab inline pylab.rcParams['figure.figsize'] = (10, 6) 

This will set all the shapes in your document (unless otherwise indicated) in size (10, 6) , where the first entry is the width and the second is the height.

See this SO post for more details. stack overflow

Answer 2

If you are not using an ipython laptop (e.g. OP), you can simply declare the size when declaring the shape:

 width = 12 height = 12 plt.figure(figsize=(width, height)) 

Answer 3

So I did this:

 %matplotlib inline import matplotlib.pyplot as plt fig_size[0] = 12 fig_size[1] = 9 plt.rcParams["figure.figsize"] = fig_size 

You can define your own sizes.