Python:Plotly .ecdf()

In Plotly, the .ecdf() function under the plotly.express module is used to generate an Empirical Cumulative Distribution Function (ECDF) plot. An ECDF plot visualizes the proportion or count of observations that are less than or equal to a given value, making it useful for analyzing distributions of data without assuming an underlying probability distribution.

Syntax

plotly.express.ecdf(data_frame=None, x=None, y=None, color=None, orientation=None, markers=False, ...)

• data_frame: The Pandas DataFrame containing the data.
• x: The column to be plotted on the x-axis.
• y (Optional): The column to be plotted on the y-axis.
• color (Optional): The column name for grouping data by different colors.
• orientation (Optional): Defines the orientation of the ECDF plot. The available options are v (vertical) and h (horizontal).
• markers (Optional): If True, shows markers at each data point.

Note: The ellipsis (…) indicates that there can be additional optional parameters beyond those listed here.

Example

The following example demonstrates the usage of the .ecdf() function:

import plotly.express as px
import pandas as pd

# Create a sample dataset
data = pd.DataFrame({
  "values": [3, 7, 8, 5, 12, 14, 18, 21, 25, 30]
})

# Create an ECDF plot
plot = px.ecdf(data, x="values", markers=True)

# Display the ECDF plot
plot.show()

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The above code produces the following output: