Customizing pie chart

 

The pie chart can be customized by using the px.pie, using some of its parameters such as hover_data and labels. Let’s see the below example for better understanding.

 

Example:

 

Python3




import plotly.express as px
 
# Loading the iris dataset
df = px.data.iris()
 
fig = px.pie(df, values="sepal_width", names="species",
             title='Iris Dataset', hover_data=['sepal_length'])
fig.show()


 

 

Output:

 

Pie plot using Plotly in Python

Plotly is a Python library which is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library. 

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A pie chart is a circular analytical chart, which is divided into region to symbolize numerical percentage. In px.pie, data anticipated by the sectors of the pie to set the values. All  sector  are classify in names. Pie chart is used usually to show the percentage with next corresponding slice of pie. Pie chart helps to make understand well because of its different portions and color codings....

Grouping Data

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Customizing pie chart

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Setting Colors

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