Plotly Bar Chart

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

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

Bar Chart

Example using only plotly package:

# import packages 
import plotly.express as px
 
# create data 
x = [3, 13, 1, 12, 19, 7, 16, 13, 10, 1]
 
# plot 
fig = px.bar(x)
fig.show()

Bar Chart with Numpy Data

Display numpy data as a bar chart using plotly:

# import packages
import plotly.express as px
import numpy as np 
 
# create data 
x = np.array([20, 14, 9, 11, 19, 7, 5, 17, 16, 20])
 
# plot 
fig = px.bar(x)
fig.show()

Bar Chart with Pandas Data

Make a bar chart with pandas data using plotly:

# import packages 
import plotly.express as px 
import pandas as pd 
 
# create data 
df = pd.DataFrame({'value': [18, 13, 12, 2, 20, 12, 5, 4, 16, 17]})
 
# plot 
fig = px.bar(df)
fig.show()

Interactive Bar Chart

Ordinary charts are dull. Let's make an interactive bar chart with plotly and mercury packages. You can choose which data you want to display using mercury widgets. In this case, we're using Select (opens in a new tab).

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

# mercury widget 
select = mr.Select(value="growing", choices=["growing","decreasing","random"], label="Choose data:")

# create data 
grow = [1,2,3,4,5,6,7,8,9,10,11,12]
decr = [12,11,10,9,8,7,6,5,4,3,2,1]
rand = [9,20,18,13,5,11,8,5,11,1,11,13]
 
# plot 
if select.value == "growing":
    fig = px.bar(grow)
elif select.value == "decreasing":
    fig = px.bar(decr)
elif select.value == "random":
    fig = px.bar(rand)
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).