scvi.data.read_text#
- scvi.data.read_text(filename, delimiter=None, first_column_names=None, dtype='float32')[source]#
Read .txt, .tab, .data (text) file.
Same as
read_csv()but with default delimiter None.- Parameters:
filename (
Union[PathLike,Iterator[str]]) – Data file, filename or stream.delimiter (
Optional[str] (default:None)) – Delimiter that separates data within text file. If None, will split at arbitrary number of white spaces, which is different from enforcing splitting at single white space ‘ ‘.first_column_names (
Optional[bool] (default:None)) – Assume the first column stores row names.dtype (
str(default:'float32')) – Numpy data type.
- Return type: