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**Matplotlib**, we use the**hist**() function to create**histograms**. The**hist**() function will use an array of numbers to create a**histogram**, the array is sent into the function as an argument. For - The size in inches of the figure to create. Uses the value in
**matplotlib**.rcParams by default. layout tuple, optional. Tuple of (rows, columns) for the layout of the**histograms**. bins int or sequence, default 10. Number of**histogram**bins to be used. If an integer is given, bins + 1 bin edges are calculated and returned. - Plotting power spectral density in
**Matplotlib**; Plotting profile**histograms**in**Python****Matplotlib**; How to plot a 2D**histogram**in**Matplotlib**?**Matplotlib**- Make a Frequency**histogram**from a list with tuple elements in**Python**; Vertical**Histogram**in**Python**and**Matplotlib**; Plotting a cumulative graph of**Python**datetimes in**Matplotlib** **Python****histogram**A complete**matplotlib****python****histogram**Many things can be added to a**histogram**such as a fit line, labels and so on. The code below creates a more advanced**histogram**. #!/usr/bin/env**python**import numpy as np import**matplotlib**.mlab as mlab import**matplotlib**.pyplot as plt # example data mu = 100 # mean of distribution- To plot a
**histogram**you can use**matplotlib**pyplot’s**hist**() function. The following is the syntax: Here, x is the array or sequence of values of the variable for which you want to construct a