Plotly Histogram Chart

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

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

Histogram Chart

Example using only plotly package:

# import packages
import plotly.express as px
 
# create data 
x = [9,38,12,36,31,7,41,18,28,33,27,44,37,43,19,55,59,61]
 
# plot 
fig = px.histogram(x)
fig.show()

Histogram Chart with Numpy Data

Display numpy data as a histogram chart using plotly:

# import packages 
import plotly.express as px 
import numpy as np 
 
# create data 
x = np.array([21, 22, 1, 42, 13, 4, 17, 26, 5, 19, 16, 39, 3, 24, 35, 18, 10, 36])
 
# plot 
fig = px.histogram(x)
fig.show()

Histogram Chart with Pandas Data

Make a histogram chart with pandas data using plotly:

# import packages 
import plotly.express as px
import pandas as pd 
 
# create data 
df = pd.DataFrame({'value': [35,17,39,44,24,2,11,14,45,6,11,48,22,18,42,39,18,12]})
 
# plot 
fig = px.histogram(df)
fig.show()

Interactive Histogram Chart

Ordinary charts are dull. Let's make an interactive histogram chart with plotly and mercury packages. You can modify gaps between bars using mercury widgets. In this case, we're using Slider (opens in a new tab).

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

# mercury widget 
slider = mr.Slider(value=0.0, min=0.0, max=0.6, step=0.1, label="Set bar gaps")

# create data 
x = [9,38,12,36,31,7,41,18,28,33,27,44,37,43,19,55,59,61]
 
# plot 
fig = px.histogram(x)
fig.update_layout(bargap=slider.value)
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).