通过 matplotlib 中的一个因子更改绘图比例 [英] Changing plot scale by a factor in matplotlib

问题描述

我正在用 python 创建一个情节.有没有办法按一个因子重新缩放轴?yscale 和 xscale 命令只允许我关闭对数缩放.

I am creating a plot in python. Is there a way to re-scale the axis by a factor? The yscale and xscale commands only allow me to turn log scale off.

例如.如果我有一个 x 尺度从 1 nm 到 50 nm 的图，x 尺度的范围将从 1x10^(-9) 到 50x10^(-9)，我希望它从1 到 50.因此，我希望绘图函数将放置在绘图上的 x 值除以 10^(-9)

For example. If I have a plot where the x scales goes from 1 nm to 50 nm, the x scale will range from 1x10^(-9) to 50x10^(-9) and I want it to change from 1 to 50. Thus, I want the plot function to divide the x values placed on the plot by 10^(-9)

推荐答案

与其改变刻度，为什么不改变单位呢?制作一个单独的数组 X 的 x 值，其单位为 nm.这样，当您绘制数据时，它就已经是正确的格式了！只需确保添加 xlabel 以指示单位(无论如何都应该始终完成).

Instead of changing the ticks, why not change the units instead? Make a separate array X of x-values whose units are in nm. This way, when you plot the data it is already in the correct format! Just make sure you add a xlabel to indicate the units (which should always be done anyways).

from pylab import *

# Generate random test data in your range
N = 200
epsilon = 10**(-9.0)
X = epsilon*(50*random(N) + 1)
Y = random(N)

# X2 now has the "units" of nanometers by scaling X
X2 = (1/epsilon) * X

subplot(121)
scatter(X,Y)
xlim(epsilon,50*epsilon)
xlabel("meters")

subplot(122)
scatter(X2,Y)
xlim(1, 50)
xlabel("nanometers")

show()

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