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.
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.
|
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