mdf_reader

Guide

  • Tool set up
    • 1. Clone the repository
    • 2. Install a python environment
    • 3. Install dependencies
    • 4. Optional step: install jupyter notebook
  • Tool overview
    • Workflow
    • Input data: .imma files and schemas
    • Output:
    • Processing of the data elements
    • Data elements extraction and transformation
    • Validation of elements against the schema or data model
  • Getting started
  • Data Models
    • Schema
    • Code tables
      • Common features
      • Simple code tables
      • Nested code tables
      • Range-keyed code tables
  • How to build a data model
    • Schema header block
    • Schema element block
    • Schema section block
      • Section header
      • Section elements
    • Code Tables
  • API Reference
    • mdf_reader
      • Subpackages
        • mdf_reader.common
        • mdf_reader.data_models
        • mdf_reader.reader
        • mdf_reader.tests
        • mdf_reader.validator
      • Submodules
        • mdf_reader.__main__
        • mdf_reader.properties
        • mdf_reader.read
      • Package Contents
        • Functions
        • Attributes
mdf_reader
  • »
  • mdf_reader.common
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mdf_reader.common¶

Submodules¶

  • mdf_reader.common.converters
  • mdf_reader.common.decoders
  • mdf_reader.common.functions
  • mdf_reader.common.logging_hdlr
  • mdf_reader.common.pandas_TextParser_hdlr
  • mdf_reader.common.plots

© Copyright 2021, David Berry, Irene Perez Gonzalez and Beatriz Recinos.

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