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问题：如何在Python中创建具有不同线型的主要和次要网格线
回答 0
回答 1

问题：如何在Python中创建具有不同线型的主要和次要网格线

我目前正在使用matplotlib.pyplot图形来创建图形，并且希望使主要的网格线为实线和黑色，而次要的网格线为灰色或虚线。

在网格属性中，which=both/major/mine然后通过线型简单定义颜色和线型。有没有办法只指定次要线型？

我到目前为止合适的代码是

plt.plot(current, counts, 'rd', markersize=8)
plt.yscale('log')
plt.grid(b=True, which='both', color='0.65', linestyle='-')
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I am currently using matplotlib.pyplot to create graphs and would like to have the major gridlines solid and black and the minor ones either greyed or dashed.

In the grid properties, which=both/major/mine, and then color and linestyle are defined simply by linestyle. Is there a way to specify minor linestyle only?

The appropriate code I have so far is

plt.plot(current, counts, 'rd', markersize=8)
plt.yscale('log')
plt.grid(b=True, which='both', color='0.65', linestyle='-')

回答 0

实际上，它和设置一样简单，major并且minor分别是：

In [9]: plot([23, 456, 676, 89, 906, 34, 2345])
Out[9]: [<matplotlib.lines.Line2D at 0x6112f90>]

In [10]: yscale('log')

In [11]: grid(b=True, which='major', color='b', linestyle='-')

In [12]: grid(b=True, which='minor', color='r', linestyle='--')

带有较小网格的陷阱是，您还必须打开较小的刻度线。在上面的代码中，这是通过完成的yscale('log')，但也可以通过完成plt.minorticks_on()。

在此处输入图片说明

点击查看英文原文

Actually, it is as simple as setting major and minor separately:

In [9]: plot([23, 456, 676, 89, 906, 34, 2345])
Out[9]: [<matplotlib.lines.Line2D at 0x6112f90>]

In [10]: yscale('log')

In [11]: grid(b=True, which='major', color='b', linestyle='-')

In [12]: grid(b=True, which='minor', color='r', linestyle='--')

The gotcha with minor grids is that you have to have minor tick marks turned on too. In the above code this is done by yscale('log'), but it can also be done with plt.minorticks_on().

enter image description here

回答 1

一种简单的DIY方法是自己制作网格：

import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot([1,2,3], [2,3,4], 'ro')

for xmaj in ax.xaxis.get_majorticklocs():
  ax.axvline(x=xmaj, ls='-')
for xmin in ax.xaxis.get_minorticklocs():
  ax.axvline(x=xmin, ls='--')

for ymaj in ax.yaxis.get_majorticklocs():
  ax.axhline(y=ymaj, ls='-')
for ymin in ax.yaxis.get_minorticklocs():
  ax.axhline(y=ymin, ls='--')
plt.show()
点击查看英文原文

A simple DIY way would be to make the grid yourself:

import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot([1,2,3], [2,3,4], 'ro')

for xmaj in ax.xaxis.get_majorticklocs():
  ax.axvline(x=xmaj, ls='-')
for xmin in ax.xaxis.get_minorticklocs():
  ax.axvline(x=xmin, ls='--')

for ymaj in ax.yaxis.get_majorticklocs():
  ax.axhline(y=ymaj, ls='-')
for ymin in ax.yaxis.get_minorticklocs():
  ax.axhline(y=ymin, ls='--')
plt.show()
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