Histograms - ( Basic Matplotlib )

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Syntax

import matplotlib.pyplot as plt

plt.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, 
         normed=None, *, data=None, **kwargs)

Example

import matplotlib.pyplot as plt
import numpy as np

# Creating a random dataset
np.random.seed(1)
data = np.random.randn(1000)

# Plotting the histogram
plt.hist(data, bins=30)
plt.show()

Output

Explanation

A histogram is a way of representing the distribution of a dataset. It is made up of a set of rectangles, where each rectangle represents a range of values and the height of the rectangle indicates the number of observations that fall within that range.

In the above example, we create a random dataset of 1000 data points using the NumPy random.randn() method. We then create a histogram of this dataset with 30 bins using matplotlib.pyplot.hist() function. The bins parameter specifies the number of equal-width bins in the range of the dataset.

Use

Histograms are commonly used to explore the distribution of a dataset and to identify any patterns or outliers in the data. They are also used in visualizing concepts like probability density functions, frequency distributions, etc. Histograms are a powerful tool in data analysis and are widely used in data science, statistics, and many other fields.

Important Points

• A histogram is a way of representing the distribution of a dataset.
• It is made up of a set of rectangles, where each rectangle represents a range of values and the height of the rectangle indicates the number of observations that fall within that range.
• Histograms are used to explore the distribution of a dataset and to identify any patterns or outliers in the data.
• matplotlib.pyplot.hist() is the function used to plot histograms in matplotlib.

Summary

In conclusion, histograms are a powerful tool to explore the distribution of a dataset. They are commonly used in data science and statistics to identify patterns and outliers in the data. With the matplotlib.pyplot.hist() function, histograms can be easily plotted in Python using matplotlib.