How to create a Cumulative Histogram in Plotly?

How to create a Cumulative Histogram in Plotly?

Creating a cumulative histogram in Plotly can be done using the plotly.graph_objs module, which provides a Histogram object that you can configure to display as a cumulative histogram. Below is an example of how to create a cumulative histogram with Plotly in Python.

First, ensure you have Plotly installed. If not, you can install it using pip:

pip install plotly

Now, let's create a simple cumulative histogram:

import plotly.graph_objs as go import plotly.io as pio # Sample data data = [1, 2, 2, 3, 4, 4, 4, 5, 5, 6] # Create histogram object with cumulative enabled hist = go.Histogram( x=data, cumulative_enabled=True ) # Create a figure fig = go.Figure(data=[hist]) # Update the layout if necessary fig.update_layout( title='Cumulative Histogram', xaxis_title='Value', yaxis_title='Cumulative Count', bargap=0.2 ) # Show the plot pio.show(fig)

In this example:

  • We import plotly.graph_objs as go, which is the module for constructing graph objects.
  • We create a Histogram object with the cumulative_enabled argument set to True to make the histogram cumulative.
  • We create a Figure and add the histogram to it.
  • We update the layout with titles for the plot and axes.
  • We display the plot using pio.show.

Please note that in the latest versions of Plotly (at the time of my knowledge cutoff in April 2023), you should use cumulative=dict(enabled=True) instead of cumulative_enabled=True. Here's the updated line in the Histogram object creation:

# Create histogram object with cumulative enabled hist = go.Histogram( x=data, cumulative=dict(enabled=True) )

This should correctly generate and display a cumulative histogram with your data using Plotly.

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