Matplotlib Venn plotting visualizes the number sets. Here, We will see how can we plot a Venn diagram in python using matplotlib-Venn in steps.
Matplotlib Venn plotting Steps :
We will simply draw the matplotlib Venn chart in steps. In order to demonstrate this, We will take two sets.
unique elements of A=15,
unique elements of B=10,
The common element of A AND B =5
Now we will see how to plot the Venn diagram in python.
Step 1: Installing the library
In order to draw the Venn diagram in python. You need to install the matplotlib-Venn Library/python package. We can install it via the below command.
pip install matplotlib-venn
You may use a different package manager for installing this library.
Step 2: Importing packages
We will import these below packages.
from matplotlib_venn import venn2 from matplotlib import pyplot as plt %matplotlib inline
We need matplotlib for basic plotting. Also venn2 for specifically Venn diagrams.
Step 3: Plotting diagram
In this step, We will plot the final diagram. Here we need to call the venn2() with arguments. Let’s see them.
venn2(subsets = (15, 10, 5), set_labels = ('A', 'B'))
In the above example, We have seen that the venn() function requires few parameters. Like
1. Subset : ( A, B, A AND B) It is reordering as per our example. Unique elements of A is 15 and B is 10, and common are 5 in numbers.
2. set_labels: Strings for nominations. Here have used A and B in the above example. But in real scenarios, it will be a meaningful name.
Complete Code –
In this section, We will merge the complete code.
from matplotlib_venn import venn2 from matplotlib import pyplot as plt %matplotlib inline venn2(subsets = (15, 10, 5), set_labels = ('A', 'B'))
Here is the output for that.
Venn diagram is the best way to visualize the sets. In this article, We have seen the implementation of venn diagram in python with a minimal example. We have also described each step and most are self-explanatory to draw a Venn diagram. But if you feel anything doubtful in the complete article, Please let us know.
Data Science Learner Team
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