在 matplotlib 中的两条垂直线之间填充 [英] Fill between two vertical lines in matplotlib
问题描述
我浏览了 matplotlib
文档中的 examples,但它不是'我不清楚如何绘制填充两条特定垂直线之间区域的图.
例如,假设我想在 x=0.2
和 x=4
之间创建一个图(对于完整的 y
范围阴谋).我应该使用fill_between
、fill
还是fill_betweenx
?
我可以为此使用 where
条件吗?
听起来你想要 axvspan
,而不是函数之间的填充之一.不同之处在于 axvspan
(和 axhspan
) 将填充绘图的整个 y(或 x)范围,无论您如何缩放.
例如,让我们使用 axvspan
来突出显示 8 到 14 之间的 x 区域:
将 matplotlib.pyplot 导入为 plt图, ax = plt.subplots()ax.plot(范围(20))ax.axvspan(8, 14, alpha=0.5, color='red')plt.show()
您可以使用 fill_betweenx
来执行此操作,但矩形的范围(x 和 y)将位于数据坐标中.使用 axvspan
,矩形的 y 范围默认为 0 和 1,并且位于 轴坐标(换句话说,绘图高度的百分比).>
为了说明这一点,让我们让矩形从高度的 10% 延伸到 90%(而不是占据整个范围).尝试缩放或平移,并注意 y 范围表示在显示空间中固定,而 x 范围随着缩放/平移移动:
将 matplotlib.pyplot 导入为 plt图, ax = plt.subplots()ax.plot(范围(20))ax.axvspan(8, 14, ymin=0.1, ymax=0.9, alpha=0.5, color='red')plt.show()
I went through the examples in the matplotlib
documentation, but it wasn't clear to me how I can make a plot that fills the area between two specific vertical lines.
For example, say I want to create a plot between x=0.2
and x=4
(for the full y
range of the plot). Should I use fill_between
, fill
or fill_betweenx
?
Can I use the where
condition for this?
It sounds like you want axvspan
, rather than one of the fill between functions. The differences is that axvspan
(and axhspan
) will fill up the entire y (or x) extent of the plot regardless of how you zoom.
For example, let's use axvspan
to highlight the x-region between 8 and 14:
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot(range(20))
ax.axvspan(8, 14, alpha=0.5, color='red')
plt.show()
You could use fill_betweenx
to do this, but the extents (both x and y) of the rectangle would be in data coordinates. With axvspan
, the y-extents of the rectangle default to 0 and 1 and are in axes coordinates (in other words, percentages of the height of the plot).
To illustrate this, let's make the rectangle extend from 10% to 90% of the height (instead of taking up the full extent). Try zooming or panning, and notice that the y-extents say fixed in display space, while the x-extents move with the zoom/pan:
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot(range(20))
ax.axvspan(8, 14, ymin=0.1, ymax=0.9, alpha=0.5, color='red')
plt.show()
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