def __init__(self,
session,
df: DataFrame,
name: str,
categories: Mapping[str, str],
value_type: str = 'int8',
timestamp=None):
self.byte_map = ops.get_byte_map(categories)
self.freetext_index_accumulated = 0
self.field = df.create_categorical(name, value_type, categories,
timestamp, None)
self.other_values_field = df.create_indexed_string(
f"{name}_freetext", timestamp, None)
self.other_values_field.indices.write_part([0])
def __init__(self,
datastore,
group,
name,
categories,
timestamp=None,
write_mode='write'):
if timestamp is None:
timestamp = datastore.timestamp
self.writer = CategoricalWriter(datastore, group, name, categories,
timestamp, write_mode)
self.field_size = max([len(k) for k in categories.keys()])
self.byte_map = ops.get_byte_map(categories)
def __init__(self,
datastore,
group,
name,
categories,
out_of_range,
timestamp=None,
write_mode='write'):
if timestamp is None:
timestamp = datastore.timestamp
self.writer = CategoricalWriter(datastore, group, name, categories,
timestamp, write_mode)
self.other_values = IndexedStringWriter(datastore, group,
f"{name}_{out_of_range}",
timestamp, write_mode)
self.field_size = max([len(k) for k in categories.keys()])
self.byte_map = ops.get_byte_map(categories)
self.freetext_index_accumulated = 0
def __init__(self,
session,
df: DataFrame,
name: str,
categories: Mapping[str, str],
value_type: str = 'int8',
timestamp=None):
if not isinstance(categories, dict):
raise ValueError(
"'categories' must be of type dict but is {} in the field '{}'"
.format(type(categories), name))
elif len(categories) == 0:
raise ValueError(
"'categories' must not be empty in the field '{}'".format(
name))
self.field = df.create_categorical(name, value_type, categories,
timestamp, None)
self.byte_map = ops.get_byte_map(categories)
self.field_size = max([len(k) for k in categories])