Python 如何在固定位置、matplotlib 上设置刻度
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How to set ticks on Fixed Position , matplotlib
提问by dantebarba
Can anyone help me set the ticks on a fixed position using matplotlib? I've tried using FixedPosition as this tutorial describes:
谁能帮我使用 matplotlib 在固定位置设置刻度？我已经尝试使用 FixedPosition 作为本教程描述的：
ax = pl.gca()
ax.xaxis.set_major_locator(eval(locator))
http://scipy-lectures.github.io/intro/matplotlib/matplotlib.html#figures-subplots-axes-and-ticks
http://scipy-lectures.github.io/intro/matplotlib/matplotlib.html#figures-subplots-axes-and-ticks
But when I try to run, it tells me that set_major_locator method does not exist.
但是当我尝试运行时，它告诉我 set_major_locator 方法不存在。
A simple example would be very useful.
一个简单的例子会非常有用。
Thanks.
谢谢。
采纳答案by Joe Kington
Just use ax.set_xticks(positions)or ax.set_yticks(positions).
只需使用ax.set_xticks(positions)或ax.set_yticks(positions)。
For example:
例如：
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.set_xticks([0.15, 0.68, 0.97])
ax.set_yticks([0.2, 0.55, 0.76])
plt.show()
回答by John Strong
import numpy as np
import matplotlib.ticker as ticker
import matplotlib.pyplot as plt
name_list = ('Omar', 'Serguey', 'Max', 'Zhou', 'Abidin')
value_list = np.random.randint(0, 99, size = len(name_list))
pos_list = np.arange(len(name_list))
ax = plt.axes()
ax.xaxis.set_major_locator(ticker.FixedLocator((pos_list)))
ax.xaxis.set_major_formatter(ticker.FixedFormatter((name_list)))
plt.bar(pos_list, value_list, color = '.75', align = 'center')
plt.show()
