Python 在 matplotlib 中更改 x 或 y 轴上的滴答频率

您可以使用plt.xticks明确设置要勾选标记的位置:

plt.xticks(np.arange(min(x), max(x)+1, 1.0))

例如

import numpy as np
import matplotlib.pyplot as plt

x = [0,5,9,10,15]
y = [0,1,2,3,4]
plt.plot(x,y)
plt.xticks(np.arange(min(x), max(x)+1, 1.0))
plt.show()

(使用np.arange而不是Python的range函数，只是在min(x)和max(x)是浮点型而不是整型的情况下.)

plt.plot(或ax.plot)功能将自动设置默认的x和y限制.如果希望保持这些限制，只需更改记号的步长，那么可以使用ax.get_xlim()来发现Matplotlib已经设置了哪些限制.

start, end = ax.get_xlim()
ax.xaxis.set_ticks(np.arange(start, end, stepsize))

The default tick formatter should do a decent job rounding the tick values to a sensible number of significant digits. However, if you wish to have more control over the format, you can define your own formatter. 例如

ax.xaxis.set_major_formatter(ticker.FormatStrFormatter('%0.1f'))

下面是一个可运行的示例:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker

x = [0,5,9,10,15]
y = [0,1,2,3,4]
fig, ax = plt.subplots()
ax.plot(x,y)
start, end = ax.get_xlim()
ax.xaxis.set_ticks(np.arange(start, end, 0.712123))
ax.xaxis.set_major_formatter(ticker.FormatStrFormatter('%0.1f'))
plt.show()