问题
I have a numpy array results
that looks like
[ 0. 2. 0. 0. 0. 0. 3. 0. 0. 0. 0. 0. 0. 0. 0. 2. 0. 0.
0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0.
0. 1. 1. 0. 0. 0. 0. 2. 0. 3. 1. 0. 0. 2. 2. 0. 0. 0.
0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 0. 2. 0. 0. 0. 0.
0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 3. 1. 0. 0. 0. 0. 0.
0. 0. 0. 1. 0. 0. 0. 1. 2. 2.]
I would like to plot a histogram of it. I have tried
import matplotlib.pyplot as plt
plt.hist(results, bins=range(5))
plt.show()
This gives me a histogram with the x-axis labelled 0.0 0.5 1.0 1.5 2.0 2.5 3.0. 3.5 4.0
.
I would like the x-axis to be labelled 0 1 2 3 instead with the labels in the center of each bar. How can you do that?
回答1:
The following alternative solution is compatible with plt.hist()
(and this has the advantage for instance that you can call it after a pandas.DataFrame.hist()
.
import numpy as np
def bins_labels(bins, **kwargs):
bin_w = (max(bins) - min(bins)) / (len(bins) - 1)
plt.xticks(np.arange(min(bins)+bin_w/2, max(bins), bin_w), bins, **kwargs)
plt.xlim(bins[0], bins[-1])
(The last line is not strictly requested by the OP but it makes the output nicer)
This can be used as in:
import matplotlib.pyplot as plt
bins = range(5)
plt.hist(results, bins=bins)
bins_labels(bins, fontsize=20)
plt.show()
回答2:
The other answers just don't do it for me. The benefit of using plt.bar
over plt.hist
is that bar can use align='center'
:
import numpy as np
import matplotlib.pyplot as plt
arr = np.array([ 0., 2., 0., 0., 0., 0., 3., 0., 0., 0., 0., 0., 0.,
0., 0., 2., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.,
0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 1., 1.,
0., 0., 0., 0., 2., 0., 3., 1., 0., 0., 2., 2., 0.,
0., 0., 0., 0., 0., 0., 0., 1., 1., 0., 0., 0., 0.,
0., 0., 2., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 3., 1., 0., 0., 0., 0., 0., 0.,
0., 0., 1., 0., 0., 0., 1., 2., 2.])
labels, counts = np.unique(arr, return_counts=True)
plt.bar(labels, counts, align='center')
plt.gca().set_xticks(labels)
plt.show()
回答3:
you can build a bar
plot out of a np.histogram
.
Consider this
his = np.histogram(a,bins=range(5))
fig, ax = plt.subplots()
offset = .4
plt.bar(his[1][1:],his[0])
ax.set_xticks(his[1][1:] + offset)
ax.set_xticklabels( ('1', '2', '3', '4') )

EDIT: in order to get the bars touching one another, one has to play with the width parameter.
fig, ax = plt.subplots()
offset = .5
plt.bar(his[1][1:],his[0],width=1)
ax.set_xticks(his[1][1:] + offset)
ax.set_xticklabels( ('1', '2', '3', '4') )

来源:https://stackoverflow.com/questions/23246125/how-to-center-labels-in-histogram-plot