Python: Histogram - Create uequal bins/axis

Question

Note,this question is related to :[Defining bin width/x-axis scale in Matplotlib histogram. I have a data that looks like this

 Time               Pressure
    1/1/2017 0:00       5.8253
    ...                     ...
    3/1/2017 0:10       4.2785
    4/1/2017 0:20       5.20041
    5/1/2017 0:30       4.40774
    6/1/2017 0:40       4.03228
    7/1/2017 0:50       5.011924
    12/1/2017 1:00      3.9309888

I would like to plot a histogram such that it looks like this.The intervals be like- [0-40,60,65,70,75,80]

Possible duplicate of https://www.google.ru/url?sa=t&source=web&rct=j&url=https://stackoverflow.com/questions/17523545/pandas-histogram-with-fixed-width&ved=2ahUKEwjD776cypjbAhVFYpoKHVAFDi8QFjACegQICRAB&usg=AOvVaw3an28H8RSbLKxFzpqu4fIT — Evgeny, May 22 '18 at 05:27
@EvgenyPogrebnyak: I want the values [0,40,60,65,70,75,80] on the x-axis similar to the image — Unknown, May 22 '18 at 05:42
Have you tried putting up a code together that does it? why not posting it here? — Evgeny, May 22 '18 at 05:49

score 0 · Accepted Answer · answered May 22 '18 at 05:54

You can generate the histogram using numpy.histogram() and then plot it using Axes.bar(). The ticks can then be adjusted using Axes.set_ticklabels(). Here an example:

import numpy as np
from matplotlib import pyplot as plt

#some fake data:
data = np.random.normal(70,20,[100])

#the histogram
dist, edges = np.histogram(data,bins=[0,40,60,65,70,75,80])

#the plot    
fig,ax = plt.subplots()    
ax.bar(
    np.arange(dist.shape[0]), dist, width=1, align = 'edge',
    color = [1,0,0,0.5], edgecolor=[1,0,0,1], lw = 2,
    )
ax.set_xticks(np.arange(edges.shape[0]))
ax.set_xticklabels(edges)

plt.show()

The whole thing looks like this:

Hope this helps.

Python: Histogram - Create uequal bins/axis

1 Answers1