Plotly Scatter Chart

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

• simple scatter chart
• scatter chart with numpy data
• scatter chart with pandas data
• an interactive scatter 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 Scatter Chart (opens in a new tab)
• Plotly Interactive Scatter Chart (opens in a new tab)

Scatter Chart

Example using only plotly package:

# import packages 
import plotly.express as px 
 
# create data 
x = [2,4,6,1,5]
y = [8,5,7,4,6]
 
# plot 
fig = px.scatter(x,y)
fig.show()

Scatter Chart with Numpy Data

Display numpy data as a scatter chart using plotly:

# import package 
import plotly.express as px
import numpy as np 
 
# create data 
x = np.array([7,5,8,4,3,4])
y = np.array([4,6,4,7,5,1])
 
# plot 
fig = px.scatter(x,y)
fig.show()

Scatter Chart with Pandas Data

Make a scatter chart with pandas data using plotly:

# import packages 
import plotly.express as px 
import pandas as pd 
 
# create data 
df = pd.DataFrame({'x': [5,7,8,4,6,2]})
 
# plot 
fig = px.scatter(df)
fig.show()

Interactive Scatter Chart

Ordinary charts are dull. Let's make an interactive scatter chart with plotly and mercury packages. You can modify data range using mercury widgets. In this case, we're using Range (opens in a new tab).

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

# mercury widget
range = mr.Range(value=[1,6], min=0, max=10, label="Set data range")

# create data 
all_x = [7,5,4,8,2,12,5,7,9,11,6]
x = all_x[range.value[0]:range.value[1]+1]
 
# plot 
fig = px.scatter(x)
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).