Create a cumulative histogram in Matplotlib

How to create a Cumulative Histogram in Plotly?

Last Updated : 05 Sep, 2020

Plotly is a Python library that is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot, and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library.

Creating cumulative histogram

A cumulative histogram is a histogram that counts the cumulative cases over the range of cases. It can be created by passing True to the cumulative_enabled parameter.

Example 1: Vertical cumulative histogram

Python3

import plotly.express as px 
import plotly.graph_objects as go 
  
df = px.data.iris() 
  
fig = go.Figure(data=[go.Histogram(x=df['sepal_width'], 
                                   cumulative_enabled=True)]) 
fig.show()

Output:

Example 2: Horizontal cumulative histogram

Python3

import plotly.express as px 
import plotly.graph_objects as go 
  
df = px.data.iris() 
  
fig = go.Figure(data=[go.Histogram(y=df['sepal_width'], 
                                   cumulative_enabled=True)]) 
fig.show()

Output:

Create a cumulative histogram in Matplotlib

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