如何在不根据原始数据进行计算的情况下绘制宽度不相等的直方图? [英] How to plot a histogram with unequal widths without computing it from raw data?

问题描述

Matplotlib的 hist 说:计算并绘制直方图x".我想制作一个图，不先计算任何东西.我有一个bin宽度(不相等)，以及每个bin中的总量，我想绘制一个频率量直方图.

Matplotlib's hist says "Compute and draw the histogram of x". I'd like to make a plot without computing anything first. I have the bin widths (unequal), and the total amount in each bin, and I want to plot a frequency-quantity histogram.

例如，带有数据

cm      Frequency
65-75   2
75-80   7
80-90   21
90-105  15
105-110 12

它应该绘制如下图:

http://www.gcsemathstutor.com/histograms.php

其中块的面积代表每个类别中的频率.

where the area of the blocks represents the frequency in each class.

推荐答案

与David Zwicker相同:

Working on the same as David Zwicker:

import numpy as np
import matplotlib.pyplot as plt

freqs = np.array([2, 7, 21, 15, 12])
bins = np.array([65, 75, 80, 90, 105, 110])
widths = bins[1:] - bins[:-1]
heights = freqs.astype(np.float)/widths
    
plt.fill_between(bins.repeat(2)[1:-1], heights.repeat(2), facecolor='steelblue')
plt.show()

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