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Convert CSV records to tensors. Each column maps to one tensor.
tf.compat.v1.decode_csv( records, record_defaults, field_delim=',', use_quote_delim=True, name=None, na_value='', select_cols=None )
RFC 4180 format is expected for the CSV records. (https://tools.ietf.org/html/rfc4180) Note that we allow leading and trailing spaces with int or float field.
string. Each string is a record/row in the csv and all records should have the same format.
record_defaults: A list of
Tensorobjects with specific types. Acceptable types are
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
Each tensor will have the same shape as records.
ValueError: If any of the arguments is malformed.