Plotly Pie Chart

Plotly is a tool for creating charts, which works with Jupyter Notebook. Among its options is the Pie Chart. We've got some examples ready to demonstrate their appearance and functionality, so you can see how they work.

• simple pie chart
• pie chart with numpy data
• pie chart with pandas data
• an interactive pie chart

If you need any information about Plotly check their docs: Plotly Docs (opens in a new tab).

All of code examples are availabe as Jupyter Notebooks in our GitHub repositiory:

• Plotly Pie Chart (opens in a new tab)
• Plotly Interactive Pie Chart (opens in a new tab)

Pie Chart

Example using only plotly package:

# import packages 
import plotly.express as px 
 
# create data 
x = [20,25,15,40]
 
# plot 
fig = px.pie(values=x)
fig.show()

Pie Chart with Numpy Data

Display numpy data as a pie chart using plotly:

# import packages 
import plotly.express as px 
import numpy as np
 
# create data 
x = np.array([43,75,89,74,72])
 
# plot 
fig = px.pie(values=x)
fig.show()

Pie Chart with Pandas Data

Make a pie chart with pandas data using plotly:

# import packages 
import plotly.express as px 
import pandas as pd 
 
# create data 
df = pd.DataFrame({'values': [76,54,45,14,72]})
 
# plot 
fig = px.pie(values = df['values'])
fig.show()

Interactive Pie Chart

Ordinary charts are dull. Let's make an interactive pie chart with plotly and mercury packages. You can decide if legend will be visible using mercury widgets. In this case, we're using Checkbox (opens in a new tab).

# import packages
import plotly.express as px 
import mercury as mr

# mercury widget
checkbox = mr.Checkbox(label="Legend")

# create data 
x = [9,7,8,12]
names = ["Apples", "Bananas", "Oranges", "Grapes"] if checkbox.value else None
 
# plot
fig = px.pie(values=x, names=names)
fig.show()

Now, you can easily turn your Jupyter Notebook into a Web App! Check out this video to see how it looks.

Deploying Web App is very easy that you can do it in 3 steps:

Congrats! You just created your own Web App and you can share your Jupyter Notebooks with nontechnical users. If you need more information about deploying the Web App check Mercury Cloud Documentation (opens in a new tab).