In This Article, You Will learn about Visualize Distributions with Seaborn
Visualize Distributions with Seaborn – Before moving ahead, let’s know a bit of Python Numpy Tutorial
Seaborn is a library which uses Matplotlib for plotting graphs. It can be used to visualize random distributions.
Installation in Python –
>pip install seaborn
Installation in Jupyter
>!pip install seaborn
Distplot is an acronym for distribution plot. It takes in an array of points and plots a curve that corresponds to that distribution.
import the pyplot object from Matplotlib into your code.
import matplotlib.pyplot as plt
You will learn later about Matplotlib Tutorial.
Import the Seaborn module into your code.
import seaborn as kl
Plotting a Displot
Example – Plotting a graph
import matplotlib.pyplot as plt import seaborn as kl kl.distplot([11, 12, 13, 14, 15]) plt.show()
As shown above, it returned a graph plotted with different points.
Plotting a Distplot Without the Histogram
Example – Plotting a graph without Histogram
import matplotlib.pyplot as plt import seaborn as kl kl.distplot([11, 12, 13, 14, 15], hist=False) plt.show()
As it can be seen, it returned a graph plotted with different points.
If you find anything incorrect in the above-discussed topic and have any further questions, please comment below.
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