Visualize_EDA

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Description

This API has the functionality to display the data in an easy-to-understand image format, which helps in setting the data preprocessing methods.

There are Four Options, as follows:

  • HeatMap
  • Plot
  • Decomposition
  • All

Upon execution, the result image is displayed and simultaneously saved in the EDA folder.

API module path

from api.v2.eda.Visualize_EDA import Visualize_EDA

Parameters

Df

  • Specifies the DataFrame composed of time series data.

Period

  • Specifies the Period.
  • The number of time steps it takes for the time series data to complete one full cycle, representing the period of the repeating seasonal pattern.
  • Example
    • period = 24

X_size

  • Specifies the Plot width.
  • Set the width value of the result image to be output and saved.
  • Example
    • x_size = 10

Y_size

  • Specifies the Plot height.
  • Set the height value of the result image to be output and saved.
  • Example
    • y_size = 10

Option

  • Specifies the desired option.
    • 1 : HeatMap
    • 2 : Plot
    • 3 : Decomposition
    • 4 : All
  • Example
    • option = 4

Example Sample Code (Python)

Results

  • Due to the large output, only the HeatMap results are provided.

Check the entire module code.

datahub/api/v2/eda/Visualize_EDA.py at main · machbase/datahub
All Industrial IoT DataHub with data visualization and AI source - machbase/datahub
GitHubmachbase

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