What is matplotlib.pyplot.hist() in Python?
Histograms are used to represent data graphically in the form of adjacent bars. The x-axis represents the continuous data, while the y-axis represents the frequency that corresponds to that data.
There are multiple ways to plot histograms in Python. Matplotlib provides functions that make this process easier for the programmer.
Syntax
matplotlib.pyplot.hist(x, bins, range, density, weights,cumulative, bottom, histtype, align, orientation, rwidth,log, color, label, stacked, *, data, **kwargs)
Parameters
x: A sequence of data. This parameter is required.bins: Can be an integer, a sequence, or string. (Optional)range: The specified lower and upper range of the bins. (Optional)density: A Boolean value. If set toTrue, the normalized counts will be returned as the first element of the tuple. (Optional)weights: A sequence of weights that has the same shape as x. (Optional)cumulative: A Boolean value. If set toTrue, the frequency of each bin is the sum of all previous frequencies. (Optional)bottom: An array or scalar that specifies the location of the bottom of each bin. (Optional)histtype: Specifies the type of histogram to plot. The default type isbar. Other options includebarstacked,step, andstepfilled. (Optional)align: Specifies the horizontal alignment of the bars. Options areleft,mid, andright. The default ismid. (Optional)orientation: Specifies the orientation of the histogram bars. Options arehorizontalorvertical. The default isvertical. (Optional)rwidth: A float value that computes the width of the bars relative to the bin width. (Optional)log: A Boolean value that, if set toTrue, sets the axis to a log scale. (Optional)color: Specifies the colors of the bars. (Optional)label: A string that labels the dataset. (Optional)stacked: Boolean value that, if set toTrue, stacks datasets on top of each other. (Optional)
Return value
The function returns a tuple that contains the frequencies of the histogram bins, the edges of the bins, and the respective patches that create the histogram.
Code
#import librariesfrom matplotlib import pyplot as pltimport numpy as np#initialize a sequence of datadata = np.array([20,7,14,7,16,9,2,13,21,20,14,9,9,20,1])#plot a histogramplt.hist(data,bins = 100,density = 1,color ='blue',orientation='horizontal')#set x and y labelsplt.xlabel('Counts')plt.ylabel('Ages of students')#show histogramplt.show()
The code plots a histogram, as seen below, with color set to blue, orientation set to horizontal, number of bins set to 100, and density set to 1.
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