Niimpy

About

  • Introduction
  • Installation
  • Architecture and workflow
  • Data schema
  • Contribution Guide
  • How to cite
  • See also

Quick Start

  • Quick start

User guide

  • Reading
  • Basic transformations
  • Preprocessing
  • Exploration
  • Analysis

Demos

  • Demo Notebook on Reading and Exploring the Studentlife Dataset

Data documentation

  • Aware

API reference

  • niimpy API docs
    • niimpy package
      • Subpackages
        • niimpy.analysis package
        • niimpy.config package
        • niimpy.exploration package
        • niimpy.preprocessing package
        • niimpy.reading package
      • Module contents
Niimpy
  • niimpy API docs
  • niimpy package
  • niimpy.exploration package
  • View page source

niimpy.exploration package

Subpackages

  • niimpy.exploration.eda package
    • Submodules
      • niimpy.exploration.eda.categorical module
        • categorize_answers()
        • get_xticks_()
        • plot_categories()
        • plot_grouped_categories()
        • question_by_group()
        • questionnaire_grouped_summary()
        • questionnaire_summary()
      • niimpy.exploration.eda.countplot module
        • barplot_()
        • boxplot_()
        • calculate_bins()
        • countplot()
        • get_counts()
      • niimpy.exploration.eda.lineplot module
        • calculate_averages_()
        • plot_averages_()
        • plot_timeseries_()
        • resample_data_()
        • timeplot()
      • niimpy.exploration.eda.missingness module
        • bar()
        • bar_count()
        • heatmap()
        • matrix()
      • niimpy.exploration.eda.punchcard module
        • combine_dataframe_()
        • get_timerange_()
        • punchcard_()
        • punchcard_plot()
    • Module contents

Submodules

  • niimpy.exploration.missingness module
    • missing_data_format()
    • missing_noise()
    • screen_missing_data()
  • niimpy.exploration.setup_dataframe module
    • create_categorical_dataframe()
    • create_dataframe()
    • create_missing_dataframe()
    • create_timeindex_dataframe()

Module contents

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