graph LR
Pandas_DataFrame["Pandas DataFrame"]
Python_Dictionaries_Lists["Python Dictionaries/Lists"]
Readstat_C_Structs["Readstat C Structs"]
_readstat_parser["_readstat_parser"]
_readstat_writer["_readstat_writer"]
pyreadstat["pyreadstat"]
pyfunctions["pyfunctions"]
readstat_C_library["readstat C library"]
pyreadstat -- "orchestrates" --> _readstat_parser
pyreadstat -- "orchestrates" --> _readstat_writer
pyreadstat -- "utilizes" --> Pandas_DataFrame
pyreadstat -- "utilizes" --> Python_Dictionaries_Lists
_readstat_parser -- "produces" --> Pandas_DataFrame
_readstat_parser -- "produces" --> Python_Dictionaries_Lists
_readstat_parser -- "consumes" --> Readstat_C_Structs
_readstat_parser -- "interfaces with" --> readstat_C_library
_readstat_writer -- "consumes" --> Pandas_DataFrame
_readstat_writer -- "consumes" --> Python_Dictionaries_Lists
_readstat_writer -- "produces" --> Readstat_C_Structs
_readstat_writer -- "interfaces with" --> readstat_C_library
pyfunctions -- "operates on" --> Pandas_DataFrame
pyfunctions -- "operates on" --> Python_Dictionaries_Lists
Pandas_DataFrame -- "represents" --> Statistical_Data
Python_Dictionaries_Lists -- "represents" --> Metadata
Readstat_C_Structs -- "represents" --> Raw_File_Data
The getClassHierarchy tool did not return any class hierarchy for the pyreadstat package. This suggests that the package might primarily consist of functions and direct module-level code rather than a complex class-based inheritance structure. Given the previous analysis, which identified Cython components (.pyx files) and a Python helper module, it's likely that the "Internal Data Representation" is handled through a combination of Python's built-in data structures (like Pandas DataFrames, dictionaries, and lists) and the C structs managed by the readstat C library, rather than a formal class hierarchy within pyreadstat itself. Therefore, the fundamental components for "Internal Data Representation" are not defined by a class hierarchy within pyreadstat, but rather by the types of data structures used and how they are processed by the different modules.
The primary high-level internal data representation for statistical datasets within pyreadstat. It's used for efficient storage and manipulation of tabular data, providing a user-friendly interface for data analysis.
Related Classes/Methods:
pyreadstat.pyreadstat(0:0)pyreadstat.pyfunctions(0:0)
Used for representing metadata (e.g., variable labels, value labels, missing values) and other file-specific information. Dictionaries are ideal for key-value pairs, while lists handle ordered collections.
Related Classes/Methods:
pyreadstat.pyreadstat(0:0)pyreadstat.pyfunctions(0:0)pyreadstat._readstat_parser(0:0)pyreadstat._readstat_writer(0:0)
Low-level data structures defined within the readstat C library. These structs are used to directly interact with the binary statistical file formats, holding raw data and metadata during parsing and writing operations.
Related Classes/Methods: None
This Cython component is responsible for transforming Readstat C Structs (raw data from files) into Pandas DataFrames and Python Dictionaries/Lists (high-level internal data representation). It acts as the bridge between the C library and Python.
Related Classes/Methods:
pyreadstat._readstat_parser(0:0)
This Cython component handles the serialization of Pandas DataFrames and Python Dictionaries/Lists back into Readstat C Structs for writing to statistical file formats. It manages the conversion from high-level Python data to low-level C structures.
Related Classes/Methods:
pyreadstat._readstat_writer(0:0)
The main Python module that orchestrates the reading and writing processes. It utilizes _readstat_parser and _readstat_writer and works with Pandas DataFrames and Python Dictionaries/Lists as its primary data handling mechanisms.
Related Classes/Methods:
pyreadstat.pyreadstat(0:0)
A module containing Python helper functions that operate on Pandas DataFrames and Python Dictionaries/Lists for tasks such as data validation, type conversions, and other manipulations, supporting the main pyreadstat module.
Related Classes/Methods:
The external C library that _readstat_parser and _readstat_writer directly interface with for low-level data handling and file I/O, primarily through Readstat C Structs.
Related Classes/Methods: None