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pyspark.pandas PandasNotImplementedError


Can someone explain why this below code is throwing an error? My intuition is telling me it's my spark version (3.2.1) but would like confirmation:

d = {'key':['a','a','c','d','e','f','g','h'],

x = ps.DataFrame(d)

PandasNotImplementedError                 Traceback (most recent call last)
<command-6518367> in <module>
      4 x = ps.DataFrame(d)
----> 5 x[x['key'].duplicated()]

/databricks/spark/python/pyspark/pandas/usage_logging/ in wrapper(*args, **kwargs)
    192             start = time.perf_counter()
    193             try:
--> 194                 res = func(*args, **kwargs)
    195                 logger.log_success(
    196                     class_name, function_name, time.perf_counter() - start, signature

/databricks/spark/python/pyspark/pandas/ in __getattr__(self, item)
   6276             property_or_func = getattr(MissingPandasLikeSeries, item)
   6277             if isinstance(property_or_func, property):
-> 6278                 return property_or_func.fget(self)  # type: ignore
   6279             else:
   6280                 return partial(property_or_func, self)

/databricks/spark/python/pyspark/pandas/usage_logging/ in wrapper(self)
    261     def wrapper(self):
    262         try:
--> 263             return prop.fget(self)
    264         finally:
    265             logger.log_missing(class_name, property_name, is_deprecated)

/databricks/spark/python/pyspark/pandas/missing/ in unsupported_property(self)
     36     @property
     37     def unsupported_property(self):
---> 38         raise PandasNotImplementedError(
     39             class_name=class_name, property_name=property_name, reason=reason
     40         )

PandasNotImplementedError: The property `pd.Series.duplicated()` is not implemented. 'duplicated' API returns np.ndarray and the data size is too large.You can just use DataFrame.deduplicated instead



Esteemed Contributor
Esteemed Contributor

@pjp94  - The error indicates the pandas pyspark implementation does not have the below method implemented.


Next steps is to use dataframe methods such as distinct, groupBy, dropDuplicates to resolve this.

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