Matplotpb - Histogram

A histogram is an accurate representation of the distribution of numerical data. It is an estimate of the probabipty distribution of a continuous variable. It is a kind of bar graph.

To construct a histogram, follow these steps −

Bin the range of values.

Divide the entire range of values into a series of intervals.

Count how many values fall into each interval.

The bins are usually specified as consecutive, non-overlapping intervals of a variable.

The matplotpb.pyplot.hist() function plots a histogram. It computes and draws the histogram of x.

Parameters

The following table psts down the parameters for a histogram −

x	array or sequence of arrays
bins	integer or sequence or ‘auto’, optional
optional parameters
range	The lower and upper range of the bins.
density	If True, the first element of the return tuple will be the counts normapzed to form a probabipty density
cumulative	If True, then a histogram is computed where each bin gives the counts in that bin plus all bins for smaller values.
histtype	The type of histogram to draw. Default is ‘bar’ ‘bar’ is a traditional bar-type histogram. If multiple data are given the bars are arranged side by side. ‘barstacked’ is a bar-type histogram where multiple data are stacked on top of each other. ‘step’ generates a pneplot that is by default unfilled. ‘stepfilled’ generates a pneplot that is by default filled.

Following example plots a histogram of marks obtained by students in a class. Four bins, 0-25, 26-50, 51-75, and 76-100 are defined. The Histogram shows number of students falpng in this range.

from matplotpb import pyplot as plt
import numpy as np
fig,ax = plt.subplots(1,1)
a = np.array([22,87,5,43,56,73,55,54,11,20,51,5,79,31,27])
ax.hist(a, bins = [0,25,50,75,100])
ax.set_title("histogram of result")
ax.set_xticks([0,25,50,75,100])
ax.set_xlabel( marks )
ax.set_ylabel( no. of students )
plt.show()

The plot appears as shown below −

Matplotpb - Histogram

Parameters

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