Load

Load data from different formats or sources

clarite.load.from_tsv(filename: str, index_col: Optional[Union[str, int]] = 0, **kwargs)

Load data from a tab-separated file into a DataFrame

Parameters

filename: str or Path

File with data to be used in CLARITE

index_col: int or string (default 0)

Column to use as the row labels of the DataFrame.

**kwargs:

Other keyword arguments to pass to pd.read_csv

Returns

DataFrame

The index column will be used when merging

Examples

Load a tab-delimited file with an “ID” column

>>> import clarite
>>> df = clarite.load.from_tsv('nhanes.txt', index_col="SEQN")
Loaded 22,624 observations of 970 variables

clarite.load.from_csv(filename: str, index_col: Optional[Union[str, int]] = 0, **kwargs)

Load data from a comma-separated file into a DataFrame

Parameters

filename: str or Path

File with data to be used in CLARITE

index_col: int or string (default 0)

Column to use as the row labels of the DataFrame.

**kwargs:

Other keyword arguments to pass to pd.read_csv

Returns

DataFrame

The index column will be used when merging

Examples

Load a tab-delimited file with an “ID” column

>>> import clarite
>>> df = clarite.load.from_csv('nhanes.csv', index_col="SEQN")
Loaded 22,624 observations of 970 variables