我的图一和大约26页: 1 页: 1页: 1页: 1个数值。
问题在于,其图上的频率轴(y axis)达到1页: 1页: 1 页: 1页: 1页: 1. 我真的希望是把印记为数千人,而不是例如:
1页: 1页: 1 页: 1页: 1页: 1
75页: 1页: 1页: 1
5页: 1页: 1 页: 1页: 1页: 1
25 页: 1页: 1页: 1
页: 1
为此:
1页: 1页: 1
75
5页: 1
25
页: 1
And then I can simply change the y axis to "Frequency (页: 1页: 1页: 1s)" -- it makes it much easier to read that way. Anyone with any ideas how that can be achieved?
Use matplotlib.riteer.FuncFormatter:
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
mu, sigma = 100, 15
x = mu + sigma * np.random.randn(1000000)
fig, ax = plt.subplots()
n, bins, patches = ax.hist(x, 50, facecolor= green , alpha=0.75)
ax.yaxis.set_major_formatter(ticker.FuncFormatter(
lambda y, pos: %.0f % (y * 1e-3)))
ax.set_ylabel( Frequency (000s) )
plt.show()
yields
在这些数值输入之前,只是将这些数值换算成正文。 在假设中,你只能做<代码>array/1000<>/code>而不是array<>。
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