CODEWITHSUNDEEP
pythonmatplotlibrangehistogram
Keith
Keith

Reputation: 4924

matplotlib hist() autocropping range

I am trying to make a histgram over a specific range but the matplotlib.pyplot.hist() function keeps cropping the range to the bins with entries in them. A toy example:

import numpy as np
import matplotlib.pyplot as plt

x = np.random.uniform(-100,100,1000)

nbins = 100
xmin = -500
xmax = 500

fig = plt.figure(); 
ax = fig.add_subplot(1, 1, 1)
ax.hist(x, bins=nbins,range=[xmin,xmax])  
plt.show()

Gives a plot with a range [-100,100]. Why is the range not [-500,500] as specified?

(I am using the Enthought Canopy 1.4 and sorry but I do not have a high enough rep to post an image of the plot.)

Upvotes: 19

Views: 75918

Answers (2)

Jingkai Xu
Jingkai Xu

Reputation: 31

the following code is for making the same y axis limit on two subplots

f ,ax = plt.subplots(1,2,figsize = (30, 13),gridspec_kw={'width_ratios': [5, 1]})
df.plot(ax = ax[0], linewidth = 2.5)
ylim = [df['min_return'].min()*1.1,df['max_return'].max()*1.1]
ax[0].set_ylim(ylim)
ax[1].hist(data,normed =1, bins = num_bin, color = 'yellow' ,alpha = 1) 
ax[1].set_ylim(ylim)

Upvotes: 0

Ger
Ger

Reputation: 9756

Actually, it works if you specify with range an interval shorter than [-100, 100]. For example, this work :

import numpy as np
import matplotlib.pyplot as plt

x = np.random.uniform(-100, 100, 1000)
plt.hist(x, bins=30, range=(-50, 50))
plt.show()

If you want to plot the histogram on a range larger than [x.min(), x.max()] you can change xlim propertie of the plot.

import numpy as np
import matplotlib.pyplot as plt

x = np.random.uniform(-100, 100, 1000)
plt.hist(x, bins=30)
plt.xlim(-500, 500)
plt.show()

Upvotes: 32

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