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:
the range of your data.Bin Bin - 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
: Ifbins
is set with an integer, it will define the number of equal-width bins within a range. Ifbins
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 isbar
.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.