# mft to parquet (pyarrow dtypes)
## Tested against Windows 10 / Python 3.11 / Anaconda
### pip install mft2parquet
```python
Reads HDD (Hard Disk Drive) information from a specified drive and returns it as a pandas DataFrame.
Args:
drive (str, optional): The drive path to read from. Default is "c:\\".
outputfile (str, optional): If provided, the DataFrame will be saved as a Parquet file at this path.
Default is None.
Returns:
pd.DataFrame: A DataFrame with pyarrow dtypes containing HDD information with the specified columns.
Raises:
subprocess.CalledProcessError: If the external command fails to execute.
Note:
- This function uses an external command-line utility https://github.com/githubrobbi/Ultra-Fast-File-Search to retrieve HDD information.
- The DataFrame will have the following columns:
- aa_path
- aa_name
- aa_path_only
- aa_size
- aa_size_on_disk
- aa_created
- aa_last_written
- aa_last_accessed
- aa_descendents
- aa_read-only
- aa_archive
- aa_system
- aa_hidden
- aa_offline
- aa_not_content_indexed_file
- aa_no_scrub_file
- aa_integrity
- aa_pinned
- aa_unpinned
- aa_directory_flag
- aa_compressed
- aa_encrypted
- aa_sparse
- aa_reparse
- aa_attributes
Example:
df = read_hdd(drive="d:\\", outputfile="hdd_info.parquet")
# Reads HDD information from the 'D:' drive and saves it as 'hdd_info.parquet'.
```
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"description": "\r\n# mft to parquet (pyarrow dtypes)\r\n\r\n## Tested against Windows 10 / Python 3.11 / Anaconda\r\n\r\n### pip install mft2parquet\r\n\r\n\r\n```python\r\nReads HDD (Hard Disk Drive) information from a specified drive and returns it as a pandas DataFrame.\r\n\r\nArgs:\r\ndrive (str, optional): The drive path to read from. Default is \"c:\\\\\".\r\noutputfile (str, optional): If provided, the DataFrame will be saved as a Parquet file at this path.\r\n\t\t\t\t\t Default is None.\r\n\r\nReturns:\r\npd.DataFrame: A DataFrame with pyarrow dtypes containing HDD information with the specified columns.\r\n\r\nRaises:\r\nsubprocess.CalledProcessError: If the external command fails to execute.\r\n\r\nNote:\r\n- This function uses an external command-line utility https://github.com/githubrobbi/Ultra-Fast-File-Search to retrieve HDD information.\r\n- The DataFrame will have the following columns:\r\n- aa_path\r\n- aa_name\r\n- aa_path_only\r\n- aa_size\r\n- aa_size_on_disk\r\n- aa_created\r\n- aa_last_written\r\n- aa_last_accessed\r\n- aa_descendents\r\n- aa_read-only\r\n- aa_archive\r\n- aa_system\r\n- aa_hidden\r\n- aa_offline\r\n- aa_not_content_indexed_file\r\n- aa_no_scrub_file\r\n- aa_integrity\r\n- aa_pinned\r\n- aa_unpinned\r\n- aa_directory_flag\r\n- aa_compressed\r\n- aa_encrypted\r\n- aa_sparse\r\n- aa_reparse\r\n- aa_attributes\r\n\r\nExample:\r\ndf = read_hdd(drive=\"d:\\\\\", outputfile=\"hdd_info.parquet\")\r\n# Reads HDD information from the 'D:' drive and saves it as 'hdd_info.parquet'.\r\n```\r\n",
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