英文:
major gridlines with LogLocator behave incorrectly?
问题
我试图在semilogx图中标记主要的网格线，使它们更粗。然而，下面的代码（SSCCE）只高亮显示每隔一个网格线。
import matplotlib.pyplot as plt
from matplotlib.ticker import (MultipleLocator, LogLocator)
# 配置
xValues = [0.1, 1, 10, 100, 1e3, 10e3, 100e3, 1e6, 10e6, 100e6]
yValues = [-70, -95, -135, -165, -175, -180, -180, -180, -180, -180]
# 绘图
fig = plt.figure(1, figsize=[10, 5], dpi=150)
ax = fig.subplots(1, 1)
plt.semilogx(xValues, yValues)
plt.minorticks_on()
ax.yaxis.set_major_locator(MultipleLocator(10))
ax.yaxis.set_minor_locator(MultipleLocator(5))
ax.xaxis.set_major_locator(LogLocator(base=10.0))
ax.xaxis.set_minor_locator(LogLocator(base=10.0, subs=(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9), numticks=72))
plt.grid(True, axis='both', which='major', linestyle="-", linewidth=0.8, color=(0.6, 0.6, 0.6))
plt.grid(True, axis='both', which='minor', linestyle="-", linewidth=0.5, color=(0.9, 0.9, 0.9))
plt.tight_layout()
plt.show()
有没有一种好的方法来实现我想要的效果？（在图中，您可以看到x轴仅高亮显示每隔一个十年，而不是每十年一次）。由于轴标签也位于不同的高度，我认为主要网格线可能是错误的原因。
英文:
I am trying to mark the major gridlines of a semilogx plot with thicker lines. However, the code below (SSCCE) only highlights every second gridline.
import matplotlib.pyplot as plt
from matplotlib.ticker import (MultipleLocator, LogLocator)
# configuration
xValues = [0.1, 1, 10, 100, 1e3, 10e3, 100e3, 1e6, 10e6, 100e6]
yValues = [-70, -95, -135, -165, -175, -180, -180, -180, -180, -180]
# plot
fig = plt.figure(1, figsize=[10, 5], dpi=150)
ax = fig.subplots(1,1)
plt.semilogx(xValues, yValues)
plt.minorticks_on()
ax.yaxis.set_major_locator(MultipleLocator(10))
ax.yaxis.set_minor_locator(MultipleLocator(5))
ax.xaxis.set_major_locator(LogLocator(base=10.0))
ax.xaxis.set_minor_locator(LogLocator(base=10.0,subs=(0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9),numticks=72))
plt.grid(True, axis='both', which='major', linestyle="-", linewidth=0.8, color=(0.6, 0.6, 0.6))
plt.grid(True, axis='both', which='minor', linestyle="-", linewidth=0.5, color=(0.9, 0.9, 0.9))
plt.tight_layout()
plt.show()
Is there a good way to achieve what I want? (In the plot, you can see that the x axis only hightlights every second decade instead of every decade). Since the axis labels are also on different heights, I believe the reason is that the major gridlines are incorrect?
答案1
得分: 1
看起来默认的 numticks 失效。
numticks：None 或 int，默认值：None
允许在给定轴上的最大刻度数。默认值为“None”将尝试智能选择，只要此定位器已分配给轴使用~.axis.Axis.get_tick_space，否则将退回到 9。
您可以尝试设置一个较高的数字（100 或 np.inf）：
ax.xaxis.set_major_locator(LogLocator(base=10.0, numticks=100))
ax.xaxis.set_minor_locator(LogLocator(base=10.0, numticks=100),
subs=(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9))
或者：
ax.xaxis.set_major_locator(LogLocator(base=10.0, numticks=np.inf))
ax.xaxis.set_minor_locator(LogLocator(base=10.0, numticks=np.inf),
subs=(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9))
英文:
It looks like the default numticks fails.
> numticks : None or int, default: None
> The maximum number of ticks to allow on a given axis. The default
> of None will try to choose intelligently as long as this
> Locator has already been assigned to an axis using
> ~.axis.Axis.get_tick_space, but otherwise falls back to 9.
You can try to set a high number (100 or np.inf):
ax.xaxis.set_major_locator(LogLocator(base=10.0, numticks=100))
ax.xaxis.set_minor_locator(LogLocator(base=10.0, numticks=100),
subs=(0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9))
Or:
ax.xaxis.set_major_locator(LogLocator(base=10.0, numticks=np.inf))
ax.xaxis.set_minor_locator(LogLocator(base=10.0, numticks=np.inf),
subs=(0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9))
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