在matplotlib中隐藏原点（x和y轴上的0）(Hide the origin (0 on x and y axis) in matplotlib)

在matplotlib中隐藏原点（x和y轴上的0）(Hide the origin (0 on x and y axis) in matplotlib)

我正在研究一些代码，我想从图中隐藏原点（x轴上的零点和y轴上的零点）。 我已经尝试了所有可能性，但是当我得到标签列表时，它们返回空白，或者当范围为2时，它们只返回几个值（-2，-1,0,1,2,3）。 -10 - 10。

另外，有没有办法将刻度本身的字体改为Computer Modern 10（LaTeX字体？）

I'm working on some code and I'd like to hide the origin (the zero on the x-axis, and the zero on the y-axis) from the graph. I've tried all possibilities I've seen, but when I get the list of labels they return empty, or they return with only a few values (-2, -1, 0, 1, 2, 3) when the range is -10 - 10.

Also, is there any way to change the font of the ticks themselves to Computer Modern 10 (The LaTeX font?)

最满意答案

可以使用FuncFormatter隐藏轴上的0 。 此格式化程序的函数只是检查标签是否为0并在这种情况下返回一个空字符串。

import matplotlib.pyplot as plt import matplotlib.ticker as ticker import numpy as np x = np.linspace(-5,8) y = np.sin(x) plt.plot(x,y) func = lambda x, pos: "" if np.isclose(x,0) else x plt.gca().xaxis.set_major_formatter(ticker.FuncFormatter(func)) plt.gca().yaxis.set_major_formatter(ticker.FuncFormatter(func)) plt.show()

Hiding the 0 on the axes could be done using a FuncFormatter. The function for this formatter would simply check if the label is 0 and return an empty string in that case.

import matplotlib.pyplot as plt import matplotlib.ticker as ticker import numpy as np x = np.linspace(-5,8) y = np.sin(x) plt.plot(x,y) func = lambda x, pos: "" if np.isclose(x,0) else x plt.gca().xaxis.set_major_formatter(ticker.FuncFormatter(func)) plt.gca().yaxis.set_major_formatter(ticker.FuncFormatter(func)) plt.show()