How to Draw a Histogram Plot

In this lesson, we will learn how to represent the distribution of numerical data using a histogram.

The histogra is an important graph in statistics and data analysis. It can be used to help people quickly understand the distribution of data. In order to draw a histogram, we follow the steps outlined below:

  • Step 1: BinBin the range of your data.
  • Step 2: Divide the entire range of values into their corresponding bins.
  • Step 3: Count how many values fall into each different bin

What is hist()?

The function in Matplotlib that we can use to draw a histogram is hist(). Below are some of the important parameters that we may need:

  • x: Our input values, either a single list/array or multiple sequences of arrays.
  • bins: If bins is set with an integer, it will define the number of equal-width bins within a range. If bins is set with a sequence, it will define the bin edges, including the left edge of the first bin and the right edge of the last bin.
  • histtype: Sets the style of the histogram. The default value is bar. step generates a line plot that is unfilled by default. stepfilled generates a line plot that is filled by default.
  • density: Sets True or False. The default is set to False. If True, the histogram will be normalized to form a probability density.
  • cumulative: Sets True or -1. If True, then a histogram is computed where each bin gives the count in that bin plus all bins for smaller values.