Histogram

class MatPlus.Histogram.Histogram(data, bins=10, density=False, color=None, width=3, height=3, title=None, xlabel=None, ylabel=None)[source]

A class for creating histogram plots using matplotlib.

The Histogram class provides a simplified interface for creating histogram plots with customizable bins, density normalization, and colors.

Parameters:

data (array-like) – The data to be displayed in the histogram.
bins (int or sequence or str, optional) – Number of bins, sequence of bin edges, or binning strategy. Default is 10.
density (bool, optional) – If True, the histogram is normalized to form a probability density. The area under the histogram will sum to 1. Default is False.
color (str or tuple, optional) – Color for all the elements of the histogram. Can be a string specifying a color name or a RGB tuple. Default is None (uses matplotlib default color).

Examples

>>> # Basic histogram with default settings
>>> import numpy as np
>>> data = np.random.normal(0, 1, 1000)
>>> hist = Histogram(data)
>>> hist.plot()

>>> # Custom histogram with specific bins and normalization
>>> data = [1, 2, 2, 3, 3, 3, 4, 5, 5]
>>> hist = Histogram(data, bins=5, density=True, color='blue')
>>> hist.plot()

>>> # Histogram with custom bin edges
>>> hist = Histogram(data, bins=[0, 2, 3, 6], color='green')
>>> hist.plot()

plot()[source]

Create and display a histogram.

This method creates a matplotlib figure and plots the histogram using the data and parameters provided during initialization. The histogram is displayed using matplotlib’s plt.show() function.

Returns:: The plot is displayed but not returned.
Return type:: None