def __init__(
self,
main_df: pd.DataFrame = None,
factor_df_list: List[pd.DataFrame] = None,
sub_df_list: pd.DataFrame = None,
main_data: NormalData = None,
factor_data_list: List[NormalData] = None,
sub_data_list: NormalData = None,
sub_col_chart: Optional[dict] = None,
rects: List[Rect] = None,
annotation_df: pd.DataFrame = None,
scale_value: int = None,
) -> None:
"""
:param main_df: df for main chart
:param factor_df_list: list of factor df on main chart
:param sub_df_list: df for sub chart under main chart
:param main_data: NormalData wrap main_df,use either
:param factor_data_list: list of NormalData wrap factor_df,use either
:param sub_data_list: NormalData wrap sub_df,use either
:param annotation_df:
"""
#: 主图数据
if main_data is None:
main_data = NormalData(main_df)
self.main_data: NormalData = main_data
#: 主图因子
if not factor_data_list and factor_df_list:
factor_data_list = []
for df in factor_df_list:
factor_data_list.append(NormalData(df))
#: 每一个df可能有多个column, 代表多个指标，对于连续型的，可以放在一个df里面
#: 对于离散型的，比如一些特定模式的连线，放在多个df里面较好，因为index不同
self.factor_data_list: List[NormalData] = factor_data_list
#: 副图数据
if not sub_data_list and sub_df_list:
sub_data_list = []
for df in sub_df_list:
sub_data_list.append(NormalData(df))
#: 每一个df可能有多个column, 代表多个指标，对于连续型的，可以放在一个df里面
#: 对于离散型的，比如一些特定模式的连线，放在多个df里面较好，因为index不同
self.sub_data_list: List[NormalData] = sub_data_list
#: 幅图col对应的图形，line or bar
self.sub_col_chart = sub_col_chart
#: 主图的标记数据
self.annotation_df = annotation_df
#: list of rect
self.rects = rects
self.scale_value = scale_value
def __init__(self,
main_df: pd.DataFrame = None,
factor_df_list: List[pd.DataFrame] = None,
sub_df_list: pd.DataFrame = None,
main_data: NormalData = None,
factor_data_list: List[NormalData] = None,
sub_data_list: NormalData = None,
rects: List[Rect] = None,
annotation_df: pd.DataFrame = None) -> None:
"""
:param main_df: df for main chart
:param factor_df_list: list of factor df on main chart
:param sub_df_list: df for sub chart under main chart
:param main_data: NormalData wrap main_df,use either
:param factor_data_list: list of NormalData wrap factor_df,use either
:param sub_data_list: NormalData wrap sub_df,use either
:param annotation_df:
"""
# 主图数据
if main_data is None:
main_data = NormalData(main_df)
self.main_data: NormalData = main_data
# 主图因子
if not factor_data_list and factor_df_list:
factor_data_list = []
for df in factor_df_list:
factor_data_list.append(NormalData(df))
# 每一个df可能有多个column, 代表多个指标，对于连续型的，可以放在一个df里面
# 对于离散型的，比如一些特定模式的连线，放在多个df里面较好，因为index不同
self.factor_data_list: List[NormalData] = factor_data_list
# 副图数据
if not sub_data_list and sub_df_list:
sub_data_list = []
for df in sub_df_list:
sub_data_list.append(NormalData(df))
# 每一个df可能有多个column, 代表多个指标，对于连续型的，可以放在一个df里面
# 对于离散型的，比如一些特定模式的连线，放在多个df里面较好，因为index不同
self.sub_data_list: List[NormalData] = sub_data_list
# 主图的标记数据
self.annotation_df = annotation_df
# list of rect
self.rects = rects