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AttributeError: 'Series' object has no attribute 'is_monotonic' #162

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alexxiecan opened this issue May 3, 2023 · 19 comments
Open

AttributeError: 'Series' object has no attribute 'is_monotonic' #162

alexxiecan opened this issue May 3, 2023 · 19 comments

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@alexxiecan
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Hi, dear Haavard

When I execute this function---- ev=EvalSurv (surv, durations_test, events_test, center_surv='km '), the following error occurs:

AttributeError Traceback (most recent call last)
Cell In[27], line 1
----> 1 ev = EvalSurv(surv, durations_test, events_test, censor_surv='km')

File D:\anaconda3\envs\pytorch\lib\site-packages\pycox\evaluation\eval_surv.py:33, in EvalSurv.init(self, surv, durations, events, censor_surv, censor_durations, steps)
31 self.durations = durations
32 self.events = events
---> 33 self.censor_surv = censor_surv
34 self.censor_durations = censor_durations
35 self.steps = steps

File D:\anaconda3\envs\pytorch\lib\site-packages\pycox\evaluation\eval_surv.py:51, in EvalSurv.censor_surv(self, censor_surv)
49 elif type(censor_surv) is str:
50 if censor_surv == 'km':
---> 51 self.add_km_censor()
52 else:
53 raise ValueError(f"censor_surv cannot be {censor_surv}. Use e.g. 'km'")

File D:\anaconda3\envs\pytorch\lib\site-packages\pycox\evaluation\eval_surv.py:107, in EvalSurv.add_km_censor(self, steps)
104 km = utils.kaplan_meier(self.durations, 1-self.events)
105 surv = pd.DataFrame(np.repeat(km.values.reshape(-1, 1), len(self.durations), axis=1),
106 index=km.index)
--> 107 return self.add_censor_est(surv, steps)

File D:\anaconda3\envs\pytorch\lib\site-packages\pycox\evaluation\eval_surv.py:95, in EvalSurv.add_censor_est(self, censor_surv, steps)
84 """Add censoring estimates so one can use inverse censoring weighting.
85 censor_surv are the survival estimates trained on (durations, 1-events),
86
(...)
92 or lower index 'post'. If None use self.steps (default: {None})
93 """
94 if not isinstance(censor_surv, EvalSurv):
---> 95 censor_surv = self._constructor(censor_surv, self.durations, 1-self.events, None,
96 steps=steps)
97 self.censor_surv = censor_surv
98 return self

File D:\anaconda3\envs\pytorch\lib\site-packages\pycox\evaluation\eval_surv.py:36, in EvalSurv.init(self, surv, durations, events, censor_surv, censor_durations, steps)
34 self.censor_durations = censor_durations
35 self.steps = steps
---> 36 assert pd.Series(self.index_surv).is_monotonic

File D:\anaconda3\envs\pytorch\lib\site-packages\pandas\core\generic.py:5989, in NDFrame.getattr(self, name)
5982 if (
5983 name not in self._internal_names_set
5984 and name not in self._metadata
5985 and name not in self._accessors
5986 and self._info_axis._can_hold_identifiers_and_holds_name(name)
5987 ):
5988 return self[name]
-> 5989 return object.getattribute(self, name)

AttributeError: 'Series' object has no attribute 'is_monotonic'

Have you ever encountered this problem? Thank you!
@kcleal
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kcleal commented May 19, 2023

Same issue here. Looks like that function has been removed from pandas?

@alexxiecan
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alexxiecan commented May 19, 2023 via email

@CarlosHernandezP
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CarlosHernandezP commented Jun 29, 2023 •
edited
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Have you found a way to use a 2.* version of pandas and pycox simultaneously.

Are there plans to update the pycox code to reflect this underlying change in pandas?

@salan668
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Yes, I have to change it manually to make it works.

Further, maybe a version restriction should be added in the setup.py .

@alexxiecan
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alexxiecan commented Jul 19, 2023 via email

@jjww2023
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I encountered a similar issue when using the pycox class EvalSurv to evaluate the concordance. The error message was "AttributeError: 'Series' object has no attribute 'is_monotonic'. " Can anyone help me solve the problem? Thanks!

@alexxiecan
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alexxiecan commented Aug 29, 2023 via email

@jjww2023
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jjww2023 commented Aug 30, 2023 via email

@jjww2023
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jjww2023 commented Aug 30, 2023 via email

@alexxiecan
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alexxiecan commented Aug 30, 2023 via email

@alexxiecan
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alexxiecan commented Aug 30, 2023 via email

@jjww2023
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jjww2023 commented Aug 30, 2023 via email

@xytd20
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xytd20 commented Aug 30, 2023

but I still can't run it after I change all ‘is_monotonic’ into ‘is_monotonic_increasing’

@jjww2023
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jjww2023 commented Aug 30, 2023 via email

@qaisqasaimeh
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Could you please elaborate more on this issue?

@amir78pgd
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to what version of pandas and pycox did u upgrade ?

@chengzhishi
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36 assert pd.Series(self.index_surv).is_monotonic
change this line to assert pd.Series(self.index_surv).is_monotonic_increasing
Or downgrade your pandas to 1.8

@nilskre nilskre mentioned this issue Mar 28, 2024
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@mafanedza
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36 assert pd.Series(self.index_surv).is_monotonic change this line to assert pd.Series(self.index_surv).is_monotonic_increasing Or downgrade your pandas to 1.5

@antonromashko
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fixed with PR #180, many thanks to @havakv

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