Stay organized with collections Save and categorize content based on your preferences.

View source on GitHub

Convert CSV records to tensors. Each column maps to one tensor.

RFC 4180 format is expected for the CSV records. ( Note that we allow leading and trailing spaces with int or float field.

records A Tensor of type string. Each string is a record/row in the csv and all records should have the same format.
record_defaults A list of Tensor objects with specific types. Acceptable types are float32, float64, int32, int64, string. One tensor per column of the input record, with either a scalar default value for that column or an empty vector if the column is required.
field_delim An optional string. Defaults to ",". char delimiter to separate fields in a record.
use_quote_delim An optional bool. Defaults to True. If false, treats double quotation marks as regular characters inside of the string fields (ignoring RFC 4180, Section 2, Bullet 5).
name A name for the operation (optional).
na_value Additional string to recognize as NA/NaN.
select_cols Optional sorted list of column indices to select. If specified, only this subset of columns will be parsed and returned.

A list of Tensor objects. Has the same type as record_defaults. Each tensor will have the same shape as records.

ValueError If any of the arguments is malformed.