def conv_pd_index(target) -> pd.Index:
check_type(target, [
list, tuple, pd.Series, np.ndarray, pd.Index, pd.RangeIndex,
pd.MultiIndex
])
if type(target) == list or type(target) == tuple or type(
target) == pd.Series or type(target) == np.ndarray:
return pd.Index(target)
else:
# np.ndarrayのみを想定
return target
def conv_ndarray(target) -> np.ndarray:
check_type(target, [
list, tuple, pd.DataFrame, pd.Index, pd.Series, np.ndarray,
pd.RangeIndex, pd.MultiIndex
])
if type(target) == list or type(target) == tuple:
return np.array(target)
elif type(target) == pd.DataFrame or type(target) == pd.Index or type(
target) == pd.Series or type(target) == pd.RangeIndex or type(
target) == pd.MultiIndex:
return target.values
else:
# np.ndarrayのみを想定
return target
def set_sql(self, sql: List[str]):
self.logger.debug("START")
check_type(sql, [str, list])
if type(sql) == str:
x = sql
if strfind(r"^select", x, flags=re.IGNORECASE):
self.raise_error(self.__display_sql(x) + ". you can't set 'SELECT' sql.")
else:
self.sql_list.append(x)
elif type(sql) == list:
for x in sql:
if strfind(r"^select", x, flags=re.IGNORECASE):
self.raise_error(self.__display_sql(x) + ". you can't set 'SELECT' sql.")
else:
self.sql_list.append(x)
self.logger.debug("END")
def default_proc(self, colname_explain: np.ndarray,
colname_answer: np.ndarray):
logger.info("START")
check_type(colname_explain, [np.ndarray])
check_type(colname_answer, [np.ndarray])
self.processing["default_x"] = {}
self.processing["default_x"]["type"] = "x"
self.processing["default_x"]["cols"] = colname_explain
self.processing["default_x"]["proc"] = []
self.processing["default_y"] = {}
self.processing["default_y"]["type"] = "y"
self.processing["default_y"]["cols"] = colname_answer
self.processing["default_y"]["proc"] = []
self.processing["default_row"] = {}
self.processing["default_row"]["type"] = "row"
self.processing["default_row"]["cols"] = None
self.processing["default_row"]["proc"] = []
logger.info("END")
def __init__(self, target_indexes: List[int]=None):
check_type(target_indexes, [list, tuple, type(None)])
self.target_indexes = target_indexes
self.dict_conv = {}
def __init__(self, target_indexes: List[int]):
check_type(target_indexes, [list, tuple])
self.target_indexes = target_indexes
def __init__(self, target_indexes: List[int]):
check_type(target_indexes, [list, tuple])
self.target_indexes = target_indexes
self.model = OneHotEncoder(categories='auto')