使用网格时主轴未显示 [英] Main axis are not shown when using grid
问题描述
我想将两个图形绘制到具有两个不同y轴的同一图形中.除了它,我想添加一个网格,然后将图另存为pdf.
I want to plot two graphs into the same figure with two different y-axis. In addition to it, I would like to add a grid and then save the plot as pdf.
我的问题是-在正确绘制网格的同时-不再显示主轴.如何绘制它们呢?我正在使用matplotlib 1.5.1
和Python 2.7.11
.
My problem is that - while the grid is drawn correctly - the main axis are not shown anymore. How can they be plotted as well? I am using matplotlib 1.5.1
and Python 2.7.11
.
这是情节:
这是我正在使用的代码:
And here is the code I am using:
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
pp = PdfPages('myplot.pdf')
x = np.linspace(0.1, 10, 100)
y1 = np.exp(x)
y2 = np.log(x)
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.plot(x, y1, '-ro', markersize=5, label='y1')
ax1.set_ylim(-0.1, 1.1 * max(y1))
ax1.set_ylabel('y1', fontsize=20)
ax1.legend(loc='upper left')
ax1.grid(ls='dotted', c='k')
ax1.patch.set_facecolor('white')
ax2 = ax1.twinx()
ax2.grid(False)
ax2.plot(x, y2, 'b-', label='y2')
ax2.set_ylim(-0.1, 1.1 * max(y2))
ax2.set_ylabel('y2', fontsize=20)
ax2.legend(loc='upper right')
plt.xlim([-0.5, 1.05 * max(x)])
ax1.set_xlabel('x', fontsize=20)
pp.savefig(fig)
pp.close()
plt.close(fig)
推荐答案
它对我有用,它的图正确显示了轴,就像在下面添加的png上一样.
It works for me with the plot correctly showing the axis like on the png added here under.
以下内容的输出相同:
-
Python 3.4.4, iPython, Jupyter notebook, matplotlib 1.5.1
-
Python 2.7.11, iPython, Jupyter notebook, matplotlib 1.5.?
Python 3.4.4, iPython, Jupyter notebook, matplotlib 1.5.1
Python 2.7.11, iPython, Jupyter notebook, matplotlib 1.5.?
使用的代码是此代码-与我发布的代码相同,除了我添加来生成png图像的plt.show().
The code used is this one - same as the one posted except for the plt.show() that I added to produce the png image.
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
pp = PdfPages('myplot.pdf')
x = np.linspace(0, 10, 100)
y1 = np.exp(x)
y2 = np.log(x)
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.plot(x, y1, '-ro', markersize=5, label='y1')
ax1.set_ylim(-0.1, 1.1 * max(y1))
ax1.set_ylabel('y1', fontsize=20)
ax1.legend(loc='upper left')
ax1.grid(ls='dotted', c='k')
ax1.patch.set_facecolor('white')
ax2 = ax1.twinx()
ax2.grid(False)
ax2.plot(x, y2, 'b-', label='y2')
ax2.set_ylim(-0.1, 1.1 * max(y2))
ax2.set_ylabel('y2', fontsize=20)
ax2.legend(loc='upper right')
plt.xlim([-0.5, 1.05 * max(x)])
ax1.set_xlabel('x', fontsize=20)
#plt.show()
pp.savefig(fig)
pp.close()
plt.close(fig)
如果您使用的是ipython内核,以前的工作中可能会有一些残留设置会干扰渲染?您是否尝试过使用新内核?
If you are using an ipython kernel, there might be some residual settings from previous work interfering with the rendering? Have you tried with a fresh kernel?
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