极速阅览

Dataset

For a barplot, we need a dataset with 3 columns: one for the main categories, one for the sub categories and one for the values.

Let's create it using pandas:

import pandas as pd data = { 'category': ['A', 'A', 'B', 'B', 'C', 'C', 'D', 'D', 'E', 'E'], 'sub_category': ['X', 'Y', 'X', 'Y', 'X', 'Y', 'X', 'Y', 'X', 'Y'], 'value': [17, 10, 42, 22, 33, 11, 55, 25, 25, 15] } df = pd.DataFrame(data) df.head()

category sub_category value 0 1 2 3 4

A	X	17
A	Y	10
B	X	42
B	Y	22
C	X	33

Stacked Barplot with plotly express

The chart is made using using the bar() function from the plotly.express module.

We just have to pass the df object, and specify which column we want to plot. In this case it's the category and the value (defined above).

Then we just need to specify the color argument with the sub_category column so that colors map this column.

import plotly.express as px fig = px.bar( df, x='category', y='value', color='sub_category' ) fig.show()

Now we save it as an html element in order to render it

# save widget to html fig.write_html( "../../static/interactiveCharts/583-stacked-barplot-plotly-1.html" )

%%html <iframe src="../../interactiveCharts/583-stacked-barplot-plotly-1.html" width="790" height="700" title="Stacked Barplot with plotly express" style="border:none"> </iframe>

Barplot with plotly graph object

The plotly graph object API requires a bit more verbose, but nothing very complex here!

We mainly have to iterate over each sub categories, filter the dataframe on this sub category, and plot it.

Last but not least, we use the update_layout() function with the barmode='stack' argument to ensure that bars are stacked on each others. Otherwise the default render will put them next to each other (the default value is group)

import plotly.graph_objects as go fig = go.Figure() # Create list of all unique sub categories sub_categories = df['sub_category'].unique() # Adding bars for each sub-category for sub_cat in sub_categories: filtered_df = df[df['sub_category'] == sub_cat] fig.add_trace(go.Bar( x=filtered_df['category'], y=filtered_df['value'], name=sub_cat )) # Update layout if necessary fig.update_layout( barmode='stack' ) # Show plot fig.show()

Now we save it as an html element in order to render it

# save widget to html fig.write_html( "../../static/interactiveCharts/583-stacked-barplot-plotly-2.html" )

%%html <iframe src="../../interactiveCharts/583-stacked-barplot-plotly-2.html" width="790" height="790" title="Stacked Barplot with plotly graph object" style="border:none"> </iframe>

Interactive stacked barplot with plotly

Dataset

Stacked Barplot with plotly express

Barplot with plotly graph object

Going further

🚨 Grab the Data To Viz poster!

Interactive stacked barplot with plotly

Dataset

Stacked Barplot with plotly express

Barplot with plotly graph object

Going further

Ranking

🚨 Grab the Data To Viz poster!