tf.compat.v1.decode_csv
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/decode_csv