No paths labeled 'curve:' found.

[eyalk11]

I tried with the following :

https://www.tylervigen.com/spurious/correlation/image/2600_google-searches-for-cat-memes_correlates-with_automotive-recalls-for-issues-with-the-air-bags.svg

SVGFigure(SVGPlot(SVG(open(f, 'rt')), sampling_interval=0.01))

Got the exception above

[DunklesArchipel]

Could you be more specific about what is not working? :)

[TA108]

Same error but with figure.metadata and I am using figure.metadata instead of metadadata because this function is not there and if i use the first one it throws the same error as the OP

[TA108]

Error -
SVGAnnotationError                        Traceback (most recent call last)
Cell In[12], line 1
----> 1 figure.metadata

File D:\Anaconda\envs\eme\lib\site-packages\svgdigitizer\svgfigure.py:1629, in SVGFigure.metadata(self)
   1507 @property
   1508 def metadata(self):
   1509     r"""
   1510     A dict with properties of the original figure derived from
   1511     textlabels in the SVG file, as well as properties of the dataframe
   (...)
   1614 
   1615     """
   1616     metadata = {
   1617         "experimental": {
   1618             "tags": self.tags,
   1619         },
   1620         "source": {
   1621             "figure": self.figure_label,
   1622             "curve": self.curve_label,
   1623         },
   1624         "figure description": {
   1625             "version": 1,
   1626             "type": "digitized",
   1627             "simultaneous measurements": self.simultaneous_measurements,
   1628             "measurement type": self.measurement_type,
-> 1629             "fields": self.figure_schema.to_dict()["fields"],
   1630             "comment": self.comment,
   1631         },
   1632         "data description": {
   1633             "version": 1,
   1634             "type": "digitized",
   1635             "measurement type": self.measurement_type,
   1636             "fields": self.data_schema.to_dict()["fields"],
   1637         },
   1638     }
   1640     if self.scan_rate is not None:
   1641         metadata["figure description"].setdefault(
   1642             "scan rate",
   1643             {
   (...)
   1646             },
   1647         )

File D:\Anaconda\envs\eme\lib\functools.py:981, in cached_property.__get__(self, instance, owner)
    979 val = cache.get(self.attrname, _NOT_FOUND)
    980 if val is _NOT_FOUND:
--> 981     val = self.func(instance)
    982     try:
    983         cache[self.attrname] = val

File D:\Anaconda\envs\eme\lib\site-packages\svgdigitizer\svgfigure.py:1386, in SVGFigure.figure_schema(self)
   1308 r"""
   1309 A frictionless `Schema` object, including a `Fields` object
   1310 describing the axis of the original plot
   (...)
   1382 
   1383 """
   1384 from frictionless import Schema
-> 1386 schema = Schema.from_descriptor(self.svgplot.figure_schema.to_dict())
   1388 for field in schema.field_names:
   1389     if not schema.get_field(field).custom["unit"]:

File D:\Anaconda\envs\eme\lib\site-packages\svgdigitizer\svgplot.py:1955, in SVGPlot.figure_schema(self)
   1952 from frictionless import Pipeline, Resource, steps
   1954 # infer the type of the fields from self.df
-> 1955 resource = Resource(self.df)
   1956 resource.infer()
   1958 orientations = {
   1959     "horizontal": "x",
   1960     "vertical": "y",
   1961 }

File D:\Anaconda\envs\eme\lib\functools.py:981, in cached_property.__get__(self, instance, owner)
    979 val = cache.get(self.attrname, _NOT_FOUND)
    980 if val is _NOT_FOUND:
--> 981     val = self.func(instance)
    982     try:
    983         cache[self.attrname] = val

File D:\Anaconda\envs\eme\lib\site-packages\svgdigitizer\svgplot.py:2083, in SVGPlot.df(self)
   1980 r"""
   1981 Return the plot data as a dataframe of pairs (x, y).
   1982 
   (...)
   2080 
   2081 """
   2082 if self.sampling_interval:
-> 2083     points = SVGPlot.sample_path(self.curve, self.sampling_interval)
   2084 else:
   2085     from .svg import LabeledPath

File D:\Anaconda\envs\eme\lib\functools.py:981, in cached_property.__get__(self, instance, owner)
    979 val = cache.get(self.attrname, _NOT_FOUND)
    980 if val is _NOT_FOUND:
--> 981     val = self.func(instance)
    982     try:
    983         cache[self.attrname] = val

File D:\Anaconda\envs\eme\lib\site-packages\svgdigitizer\svgplot.py:1471, in SVGPlot.curve(self)
   1468 curves = self.labeled_paths["curve"]
   1470 if len(curves) == 0:
-> 1471     raise SVGAnnotationError("No paths labeled 'curve:' found.")
   1473 curves = [
   1474     curve
   1475     for curve in curves
   1476     if self._curve is None or curve.label.curve_id == self._curve
   1477 ]
   1479 if len(curves) == 0:

SVGAnnotationError: No paths labeled 'curve:' found.

[DunklesArchipel]

According to the error, the path in the SVG is not grouped with a text field labelled curve: identifier, where the identifier can be chosen freely (as illustrated in the example in the documentation). You can also download the file from the documentation for reference on how to label a graph in the SVG.