How plot a histogram of floating points

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How plot a histogram of floating points

Postby Kruemel49 » Fri May 09, 2014 6:50 am


I am trying to plot a histogram of these values. A have a list with floating points. x=[1,2,3,4,4.5,4.5,5,7]
I use this code:
Code: Select all
n = len(x)
y = range(n+2)

hist, bins = numpy.histogram(x, bins=y)
width = 0.7 * (bins[1] - bins[0])
center = (bins[:-1] + bins[1:]) / 2, hist, align='center', width=width)

How can i use this code to plot floating points? In this case I want a bar at 4.5, which is two high. But I only get a bar at 4, which is three high. Because the histogram doesn't differ between 4 and 4.5. This pictures shows what i mean. ... od_jpg.htm
Last edited by stranac on Fri May 09, 2014 7:06 am, edited 1 time in total.
Reason: First post lock.
Posts: 1
Joined: Fri May 09, 2014 6:46 am

Re: How plot a histogram of floating points

Postby 7stud » Fri May 09, 2014 8:35 pm

A histogram is not the same thing as a frequency bar chart. If all you want is a bar for each number in your data with the height of the bar representing the frequency of the number, then you can do this:

Code: Select all
from collections import Counter
import numpy as np
import matplotlib.pyplot as plt


counts = Counter(x)
heights = [counts[num] for num in x], heights, align='center', width=.3)

bar_freq.png (2.93 KiB) Viewed 180 times

If you don't specify the xticks, then plt uses some defaults based on the range of the x data.

A histogram whose ranges/bins are extremely tiny would result in each of your x values falling in a separate range/bin, so you could get a similar bar chart that way.
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