load_datasets
load_datasets.py
Read indentation experiment TXT data and metadata files into pandas DataFrames. Provides: - load_txt: load a .txt data file (auto-detect columns) into a DataFrame, with header attrs - load_tdm: load a .tdm/.tdx metadata file (full channel list) into two DataFrames (root info and channel list)
Usage
from merrypopins.load_datasets import load_txt, load_tdm
load_tdm(filepath)
Load a .tdm metadata file into two DataFrames.
Args:
filepath: Path to the .tdm/.tdx file.
Returns:
- df_root: one row containing
* name, description, title, author
* every instance‐attribute under
Source code in src/merrypopins/load_datasets.py
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load_txt(filepath)
Load a .txt indentation data file into a DataFrame. Automatically detects the header line (column names) and numeric block.
Attempts UTF-8 decoding first, falls back to Latin-1 on failure.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
filepath
|
Path
|
Path to the .txt file. |
required |
Returns: DataFrame with columns from the file, and attrs: - timestamp: first non-empty line - num_points: parsed from 'Number of Points = N' - Depth (nm): parsed from the first column with the name "Depth (nm)" - Load (µN): parsed from the second column with the name "Load (uN)" - Time (s): parsed from the third column with the name "Time (s)" Raises: FileNotFoundError: If the file does not exist. NotImplementedError: If the file type is not supported. UnicodeDecodeError: If the file cannot be decoded with UTF-8 or Latin-1. ValueError: If no numeric data is found in the file.
Source code in src/merrypopins/load_datasets.py
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