9iC SSKrSSKJr SSKJr SSKJrJr SSKJ r \"S5(aSSK J r \"S5S 5r "S S \ 5rg) N)Any)Image)function_requires_depsis_dep_available) BaseTSResult matplotlibc [R"SS9 UR URR [ 5Ul[ U5nURSn[R"URXSSU3SS9 [R"S5 [R"S 5 [R"S 5 [R"5 [R"S 5 [R"[SUS 5S 9 [R"SS9 [ R""5n[R$"USS9 UR'S5 [R("5 [*R,"U5nU$)z Visualize time series data and its prediction results. Parameters: - input_ts: A DataFrame containing the input_ts. - predicted_label: A list of predicted class labels. Returns: - image: An image object containing the visualization result. ) )figsize)rclassidrzPredicted classid: blue)labelcolorz*Time Series input_ts with Predicted LabelsTimeValueT )ticks-)rotationtight) bbox_inches)pltfigurecolumnsindexastypestrlenlocplottitlexlabelylabellegendgridxticksrangeioBytesIOsavefigseekcloseropen)predicted_labelinput_ts target_colslengthvaluebufimages q/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/paddlex/inference/models/ts_classification/result.py visualizer9sJJw ^^**3/HN ]F    -EHHQ #E7+ II:;JJvJJwJJLHHTNJJU1fb)*JJ **,CKK)HHQKIIK JJsOE LcH\rSrSrSrS\R 4SjrS\4SjrSr g) TSClsResultGzEA class representing the result of a time series classification task.returnc8USnUSnS[XUS50$)applyclassification input_ts_dataresr3)r9)selfrAts_inputs r8_to_imgTSClsResult._to_imgJs../(y4 ;NOPPr:cSUS0$)z Converts the classification results to a CSV format. Returns: Any: The classification data formatted for CSV output, typically a DataFrame or similar structure. rCrA)rDs r8_to_csvTSClsResult._to_csvPst,-..r:rIN) __name__ __module__ __qualname____firstlineno____doc__rrFrrJ__static_attributes__rIr:r8r<r<Gs#OQQ //r:r<)r+typingrPILr utils.depsrr common.resultr matplotlib.pyplotpyplotrr9r<rIr:r8rXsJ C)L!!# %(&(V/,/r: