glucopy.read_csv

glucopy.read_csv(path, sep: str = ',', date_column: list[str] | str | int = 0, cgm_column: str | int = 1, unit: str = 'mg/dL', date_format: str | None = None, skiprows: list[int] | int | Callable[[Hashable], bool] | None = None, nrows: int | None = None, **kwargs)

Use pandas.read_csv to read a csv file into a Gframe object

Parameters:

• path (str, bytes, ExcelFile, xlrd.Book, path object, or file-like object) – Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For more information view the documentation for pandas.read_csv

• sep (str, default None) – Character to use as delimiter, if None ‘,’ will be used. For more information view the documentation for pandas.read_csv

• date_column (str or list of str, default None) – Column name(s) of the date values, max 2 columns, if None, the first Available cases: * Defaults to None: first column will be used as date * "Date": column named “Date” will be used as date * ["Date", "Time"]: columns named “Date” and “Time” will be used as date

• cgm_column (str or None, default None) – Column name of the CGM values, if None, the second column will be used

• unit (str, default 'mg/dL') – Unit of the Glucose values

• date_format (str, default None) – Format of the date information, if None, it will be assumed that the date information is in a consistent format

• skiprows (list-like, int or callable, optional) – Line numbers to skip (0-indexed) or number of lines to skip (int) at the start of the file. For more information view the documentation for pandas.read_csv

• nrows (int, default None) – Number of rows to read

• **kwargs (dict, optional) – Any other arguments accepted by pandas.read_csv

Returns:

A Gframe object

Return type:

Gframe

Examples

Read a csv file with the first column as date and the second as cgm values (default)

>>> import glucopy as gp
>>> gf = gp.read_csv('data.csv')

Read a csv file with the data column named ‘Date’ and the cgm column named ‘CGM’

>>> gf = gp.read_csv('data.csv', date_column='Date', cgm_column='CGM')