tf.io.decode_csv
Convert CSV records to tensors. Each column maps to one tensor.
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. |