ssapy_toolkit.IO.io_utils

Functions

`allfiles`([dirName])	Get a list of all files in the directory tree starting at the given path.
`exists`(pathname)	Check if a given path is either a file or a directory.
`file_exists`(filename)	Check if a file with the given name exists (including its extensions).
`get_image_paths`(folder_path[, sort_by_number])	Returns a list of full paths for all image files in the specified folder.
`listdir`([dir_path, files_only, exclude, do_sort])	List files in a directory, with options to filter, exclude, and sort.
`mkdir`(pathname)	Create a directory if it does not already exist.
`mvdir`(source_, destination_)	Move a directory from the source path to the destination path.
`pd_flatten`(data[, factor])	Flatten a list of data by splitting string elements like '[1,2,3]' and converting them into floats.
`pdstr_to_arrays`(df)	Apply str_to_array to each element of a DataFrame and convert it to a NumPy array of arrays.
`rmdir`(source_)	Remove a directory and its contents.
`rmfile`(pathname)	Remove a file if it exists.
`str_to_array`(s)	Convert a string representation of a list (e.g., '[1, 2, 3]') into a NumPy array of floats.

ssapy_toolkit.IO.io_utils.allfiles(dirName: str = '/home/docs/checkouts/readthedocs.org/user_builds/ssapy-toolkit/checkouts/latest/docs') → list[source]: Get a list of all files in the directory tree starting at the given path.

ssapy_toolkit.IO.io_utils.exists(pathname: str) → bool[source]: Check if a given path is either a file or a directory.

ssapy_toolkit.IO.io_utils.file_exists(filename: str) → bool[source]: Check if a file with the given name exists (including its extensions).

ssapy_toolkit.IO.io_utils.get_image_paths(folder_path: str, sort_by_number: bool = True) → list[source]: Returns a list of full paths for all image files in the specified folder.

ssapy_toolkit.IO.io_utils.listdir(dir_path: str = '*', files_only: bool = False, exclude: str = None, do_sort: bool = True) → list[source]: List files in a directory, with options to filter, exclude, and sort.

ssapy_toolkit.IO.io_utils.mkdir(pathname: str) → None[source]: Create a directory if it does not already exist.

ssapy_toolkit.IO.io_utils.mvdir(source_: str, destination_: str) → None[source]: Move a directory from the source path to the destination path.

ssapy_toolkit.IO.io_utils.pd_flatten(data: list, factor: float = 1) → list[source]: Flatten a list of data by splitting string elements like ‘[1,2,3]’ and converting them into floats. Divides each float by factor.

ssapy_toolkit.IO.io_utils.pdstr_to_arrays(df) → ndarray[source]: Apply str_to_array to each element of a DataFrame and convert it to a NumPy array of arrays.

ssapy_toolkit.IO.io_utils.rmdir(source_: str) → None[source]: Remove a directory and its contents.

ssapy_toolkit.IO.io_utils.rmfile(pathname: str) → None[source]: Remove a file if it exists.

ssapy_toolkit.IO.io_utils.str_to_array(s: str) → ndarray[source]: Convert a string representation of a list (e.g., ‘[1, 2, 3]’) into a NumPy array of floats.