在 ipython 笔记本中绘制宽度设置

我有以下情节:

sound signals

如果它们有相同的宽度，看起来会更好。当我使用 %matplotlib inline的时候，你知道如何在 ipython 笔记本上做这件事吗？

更新:

为了生成这两个图形，我使用了以下函数:

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()
130441 次浏览
小开

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 figures in your document (unless otherwise specified) to be of the size (10, 6), where the first entry is the width and the second is the height.

See this SO post for more details. https://stackoverflow.com/a/17231361/1419668

小开

If you're not in an ipython notebook (like the OP), you can also just declare the size when you declare the figure:

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

This is way I did it:

%matplotlib inline
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (12, 9) # (w, h)

You can define your own sizes.


提交答案