[英]Python How to set axes for a matplotlib plot
Hi for the matplotlib plot below I want to set the axes titles such that they show that the x-axis values run from 您好,下面的matplotlib图我想设置轴标题,以使它们显示x轴值从
2**-5, 2**-4, 2**-3,..., 2**14, 2**15
and the y-axis values run from y轴值从
2**-15, 2**-14,...., 2**4, 2**5
The graph I want to display them on is: 我想在上面显示的图形是:
The code for the graph is below: 该图的代码如下:
from matplotlib import pyplot
import matplotlib as mpl
import numpy as np
zvals = 100*np.random.randn(21, 21)
fig = pyplot.figure(2)
cmap2 = mpl.colors.LinearSegmentedColormap.from_list('my_colormap',
['blue','green','brown'],
256)
img2 = pyplot.imshow(zvals,interpolation='nearest',
cmap = cmap2,
origin='lower')
pyplot.colorbar(img2,cmap=cmap2)
pyplot.show()
You can use a range
with a stepsize to label every 5th cell: 您可以使用带有步进大小的
range
来标记第5个单元格:
locs = range(0, N, 5)
ax.set(xticks=locs, xlabels=...)
For example, 例如,
from matplotlib import pyplot as plt
from matplotlib import colors as mcolors
import numpy as np
N = 21
zvals = 100*np.random.randn(N, N)
fig = plt.figure(2)
ax = fig.add_subplot(111)
cmap2 = mcolors.LinearSegmentedColormap.from_list(
'my_colormap', ['blue','green','brown'], 256)
img2 = plt.imshow(zvals,interpolation='nearest',
cmap=cmap2, origin='lower')
plt.colorbar(img2, cmap=cmap2)
step = 5
locs = range(0, N, step)
ax.set(
xticks=locs,
xticklabels=['$2^{{{}}}$'.format(i-5) for i in locs],
yticks=locs,
yticklabels=['$2^{{{}}}$'.format(i-15) for i in locs])
plt.show()
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