Matplotlib.pyplot.hist() in Python
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.
matplotlib.pyplot.hist() Function
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The hist() function in pyplot module of matplotlib library is used to plot a histogram.
Syntax: matplotlib.pyplot.hist(x, bins=None, range=None, density=False, weights=None, cumulative=False, bottom=None, histtype=’bar’, align=’mid’, orientation=’vertical’, rwidth=None, log=False, color=None, label=None, stacked=False, \*, data=None, \*\*kwargs)
Parameters: This method accept the following parameters that are described below:
- x : This parameter are the sequence of data.
- bins : This parameter is an optional parameter and it contains the integer or sequence or string.
- range : This parameter is an optional parameter and it the lower and upper range of the bins.
- density : This parameter is an optional parameter and it contains the boolean values.
- weights : This parameter is an optional parameter and it is an array of weights, of the same shape as x.
- bottom : This parameter is the location of the bottom baseline of each bin.
- histtype : This parameter is an optional parameter and it is used to draw type of histogram. {‘bar’, ‘barstacked’, ‘step’, ‘stepfilled’}
- align : This parameter is an optional parameter and it controls how the histogram is plotted. {‘left’, ‘mid’, ‘right’}
- rwidth : This parameter is an optional parameter and it is a relative width of the bars as a fraction of the bin width
- log : This parameter is an optional parameter and it is used to set histogram axis to a log scale
- color : This parameter is an optional parameter and it is a color spec or sequence of color specs, one per dataset.
- label : This parameter is an optional parameter and it is a string, or sequence of strings to match multiple datasets.
- normed : This parameter is an optional parameter and it contains the boolean values.It uses the density keyword argument instead.
Returns: This returns the following:
- n :This returns the values of the histogram bins.
- bins :This returns the edges of the bins.
- patches :This returns the list of individual patches used to create the histogram.
Below examples illustrate the matplotlib.pyplot.hist() function in matplotlib.pyplot:
Example #1:
# Implementation of matplotlib functionimport matplotlibimport numpy as npimport matplotlib.pyplot as plt np.random.seed(10**7)mu = 121 sigma = 21x = mu + sigma * np.random.randn(1000) num_bins = 100 n, bins, patches = plt.hist(x, num_bins, density = 1, color ='green', alpha = 0.7) y = ((1 / (np.sqrt(2 * np.pi) * sigma)) * np.exp(-0.5 * (1 / sigma * (bins - mu))**2)) plt.plot(bins, y, '--', color ='black') plt.xlabel('X-Axis')plt.ylabel('Y-Axis') plt.title('matplotlib.pyplot.hist() function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example #2:
# Implementation of matplotlib functionimport matplotlibimport numpy as npimport matplotlib.pyplot as plt np.random.seed(10**7)n_bins = 20x = np.random.randn(10000, 3) colors = ['green', 'blue', 'lime'] plt.hist(x, n_bins, density = True, histtype ='bar', color = colors, label = colors) plt.legend(prop ={'size': 10}) plt.title('matplotlib.pyplot.hist() function Example\n\n', fontweight ="bold") plt.show() |
Output:
