Convert CSV records to tensors. Each column maps to one tensor.
tf.raw_ops.DecodeCSV(
records, record_defaults, field_delim=',', use_quote_delim=True, na_value='',
select_cols=[], name=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 types from: 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).
|
na_value
|
An optional string . Defaults to "" .
Additional string to recognize as NA/NaN.
|
select_cols
|
An optional list of ints . Defaults to [] .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A list of Tensor objects. Has the same type as record_defaults .
|