tf.io.decode_csv

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

View aliases

Main aliases

`tf.decode_csv`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.decode_csv, tf.compat.v1.io.decode_csv

tf.io.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.

Args
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.

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

Raises
ValueError	If any of the arguments is malformed.