'Series' object has no attribute 'ds'. Did you mean: 'xs'

[Yag-ger]

Student & first GitHub Post ever. I hope this is the right issue in the right place. Feel free to move this post.

I am using Nixtlats TimeGPT in Python and I already created a token on the website. The token also works, the validation function gives back true. Upon calling the function detect_anomalies on a simple timeseries the following error is shown:

AttributeError: 'Series' object has no attribute 'ds'. Did you mean: 'xs'?

I tried to find a solution in the docs but couldnt find any. I also tried to rename my date column to ds. Still no Luck.

Logs:

outliers_timegpt = timegpt.detect_anomalies(timeseries, time_col='ds', target_col='prognosebasis', freq='W')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ygerkman\AppData\Local\miniconda3\Lib\site-packages\nixtlats\timegpt.py", line 1190, in detect_anomalies
return self._detect_anomalies(
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ygerkman\AppData\Local\miniconda3\Lib\site-packages\nixtlats\timegpt.py", line 625, in wrapper
return func(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ygerkman\AppData\Local\miniconda3\Lib\site-packages\nixtlats\timegpt.py", line 643, in wrapper
return func(self, **kwargs, num_partitions=1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ygerkman\AppData\Local\miniconda3\Lib\site-packages\nixtlats\timegpt.py", line 818, in _detect_anomalies
anomalies_df = timegpt_model.detect_anomalies(df=df)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ygerkman\AppData\Local\miniconda3\Lib\site-packages\nixtlats\timegpt.py", line 527, in detect_anomalies
df, _ = self.transform_inputs(df=df, X_df=None)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ygerkman\AppData\Local\miniconda3\Lib\site-packages\nixtlats\timegpt.py", line 188, in transform_inputs
if df.dtypes.ds != "object":
^^^^^^^^^^^^
File "C:\Users\ygerkman\AppData\Local\miniconda3\Lib\site-packages\pandas\core\generic.py", line 5902, in getattr
return object.getattribute(self, name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'Series' object has no attribute 'ds'. Did you mean: 'xs'?

[grace001214]

你好，我也遇到了这个问题，想问下您解决这个问题了么，如何解决的呢

[Yibei990826]

Hi @Yag-ger and @grace001214. I was not able to replicate this problem, but I think it might be a column naming issue. Could you please rename the timestamp column and let me know if the problem is still persistent?

[jmoralez]

I think there's a bug here

nixtla/nixtlats/timegpt.py

Lines 193 to 206 in 7ceb253

	time_col = df.index.name
	if time_col is None:
	time_col = "ds"
	df.index.name = time_col
	df = df.reset_index()
	else:
	self.freq = self.base_freq
	renamer = {
	self.id_col: "unique_id",
	self.time_col: "ds",
	self.target_col: "y",
	}
	df = df.rename(columns=renamer)
	if df.dtypes.ds != "object":

If the name of the index is 'hello' and the TimeGPT object is initialized like TimeGPT(time_col='ds') (the default) it'll try to rename 'ds': 'ds' which won't do anything since that column won't exist, it should instead rename 'hello': 'ds'

[Yibei990826]

I think there's a bug here

nixtla/nixtlats/timegpt.py

Lines 193 to 206 in 7ceb253

	time_col = df.index.name
	if time_col is None:
	time_col = "ds"
	df.index.name = time_col
	df = df.reset_index()
	else:
	self.freq = self.base_freq
	renamer = {
	self.id_col: "unique_id",
	self.time_col: "ds",
	self.target_col: "y",
	}
	df = df.rename(columns=renamer)
	if df.dtypes.ds != "object":

If the name of the index is 'hello' and the TimeGPT object is initialized like TimeGPT(time_col='ds') (the default) it'll try to rename 'ds': 'ds' which won't do anything since that column won't exist, it should instead rename 'hello': 'ds'

I agree with you, we will see this issue anytime the date col is passed as index, (even though it might be named 'ds'). For instance, I was able to replicate the issue with the following data:

I think it might be helpful to add something like:

elif hasattr(df.index, "freq") and  hasattr(df.index, "name"):
     if df.index.name = self.time_col:
        df=df.reset_index()