7ff9d2e3ee
### What changes were proposed in this pull request? This PR proposes to rename Koalas to pandas-on-Spark in main codes ### Why are the changes needed? To have the correct name in PySpark. NOTE that the official name in the main documentation will be pandas APIs on Spark to be extra clear. pandas-on-Spark is not the official term. ### Does this PR introduce _any_ user-facing change? No, it's master-only change. It changes the docstring and class names. ### How was this patch tested? Manually tested via: ```bash ./python/run-tests --python-executable=python3 --modules pyspark-pandas ``` Closes #32166 from HyukjinKwon/rename-koalas. Authored-by: HyukjinKwon <gurwls223@apache.org> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
219 lines
9.7 KiB
Python
219 lines
9.7 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from distutils.version import LooseVersion
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import pandas as pd
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from pyspark.pandas.missing import unsupported_function, unsupported_property, common
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def _unsupported_function(method_name, deprecated=False, reason="", cls="Index"):
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return unsupported_function(
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class_name="pd.{}".format(cls),
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method_name=method_name,
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deprecated=deprecated,
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reason=reason,
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)
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def _unsupported_property(property_name, deprecated=False, reason="", cls="Index"):
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return unsupported_property(
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class_name="pd.{}".format(cls),
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property_name=property_name,
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deprecated=deprecated,
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reason=reason,
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)
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class MissingPandasLikeIndex(object):
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# Properties
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nbytes = _unsupported_property("nbytes")
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# Functions
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argsort = _unsupported_function("argsort")
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asof_locs = _unsupported_function("asof_locs")
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format = _unsupported_function("format")
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get_indexer = _unsupported_function("get_indexer")
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get_indexer_for = _unsupported_function("get_indexer_for")
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get_indexer_non_unique = _unsupported_function("get_indexer_non_unique")
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get_loc = _unsupported_function("get_loc")
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get_slice_bound = _unsupported_function("get_slice_bound")
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get_value = _unsupported_function("get_value")
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groupby = _unsupported_function("groupby")
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is_ = _unsupported_function("is_")
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is_lexsorted_for_tuple = _unsupported_function("is_lexsorted_for_tuple")
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join = _unsupported_function("join")
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map = _unsupported_function("map")
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putmask = _unsupported_function("putmask")
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ravel = _unsupported_function("ravel")
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reindex = _unsupported_function("reindex")
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searchsorted = _unsupported_function("searchsorted")
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slice_indexer = _unsupported_function("slice_indexer")
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slice_locs = _unsupported_function("slice_locs")
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sortlevel = _unsupported_function("sortlevel")
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to_flat_index = _unsupported_function("to_flat_index")
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to_native_types = _unsupported_function("to_native_types")
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where = _unsupported_function("where")
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# Deprecated functions
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is_mixed = _unsupported_function("is_mixed")
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get_values = _unsupported_function("get_values", deprecated=True)
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set_value = _unsupported_function("set_value")
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# Properties we won't support.
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array = common.array(_unsupported_property)
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duplicated = common.duplicated(_unsupported_property)
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# Functions we won't support.
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memory_usage = common.memory_usage(_unsupported_function)
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__iter__ = common.__iter__(_unsupported_function)
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if LooseVersion(pd.__version__) < LooseVersion("1.0"):
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# Deprecated properties
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strides = _unsupported_property("strides", deprecated=True)
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data = _unsupported_property("data", deprecated=True)
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itemsize = _unsupported_property("itemsize", deprecated=True)
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base = _unsupported_property("base", deprecated=True)
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flags = _unsupported_property("flags", deprecated=True)
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# Deprecated functions
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get_duplicates = _unsupported_function("get_duplicates", deprecated=True)
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summary = _unsupported_function("summary", deprecated=True)
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contains = _unsupported_function("contains", deprecated=True)
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class MissingPandasLikeDatetimeIndex(MissingPandasLikeIndex):
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# Properties
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nanosecond = _unsupported_property("nanosecond", cls="DatetimeIndex")
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date = _unsupported_property("date", cls="DatetimeIndex")
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time = _unsupported_property("time", cls="DatetimeIndex")
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timetz = _unsupported_property("timetz", cls="DatetimeIndex")
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tz = _unsupported_property("tz", cls="DatetimeIndex")
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freq = _unsupported_property("freq", cls="DatetimeIndex")
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freqstr = _unsupported_property("freqstr", cls="DatetimeIndex")
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inferred_freq = _unsupported_property("inferred_freq", cls="DatetimeIndex")
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# Functions
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snap = _unsupported_function("snap", cls="DatetimeIndex")
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tz_convert = _unsupported_function("tz_convert", cls="DatetimeIndex")
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tz_localize = _unsupported_function("tz_localize", cls="DatetimeIndex")
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to_period = _unsupported_function("to_period", cls="DatetimeIndex")
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to_perioddelta = _unsupported_function("to_perioddelta", cls="DatetimeIndex")
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to_pydatetime = _unsupported_function("to_pydatetime", cls="DatetimeIndex")
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mean = _unsupported_function("mean", cls="DatetimeIndex")
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std = _unsupported_function("std", cls="DatetimeIndex")
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class MissingPandasLikeCategoricalIndex(MissingPandasLikeIndex):
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# Functions
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rename_categories = _unsupported_function("rename_categories", cls="CategoricalIndex")
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reorder_categories = _unsupported_function("reorder_categories", cls="CategoricalIndex")
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add_categories = _unsupported_function("add_categories", cls="CategoricalIndex")
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remove_categories = _unsupported_function("remove_categories", cls="CategoricalIndex")
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remove_unused_categories = _unsupported_function(
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"remove_unused_categories", cls="CategoricalIndex"
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)
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set_categories = _unsupported_function("set_categories", cls="CategoricalIndex")
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as_ordered = _unsupported_function("as_ordered", cls="CategoricalIndex")
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as_unordered = _unsupported_function("as_unordered", cls="CategoricalIndex")
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map = _unsupported_function("map", cls="CategoricalIndex")
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class MissingPandasLikeMultiIndex(object):
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# Deprecated properties
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strides = _unsupported_property("strides", deprecated=True)
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data = _unsupported_property("data", deprecated=True)
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itemsize = _unsupported_property("itemsize", deprecated=True)
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# Functions
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argsort = _unsupported_function("argsort")
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asof_locs = _unsupported_function("asof_locs")
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equal_levels = _unsupported_function("equal_levels")
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factorize = _unsupported_function("factorize")
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format = _unsupported_function("format")
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get_indexer = _unsupported_function("get_indexer")
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get_indexer_for = _unsupported_function("get_indexer_for")
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get_indexer_non_unique = _unsupported_function("get_indexer_non_unique")
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get_loc = _unsupported_function("get_loc")
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get_loc_level = _unsupported_function("get_loc_level")
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get_locs = _unsupported_function("get_locs")
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get_slice_bound = _unsupported_function("get_slice_bound")
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get_value = _unsupported_function("get_value")
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groupby = _unsupported_function("groupby")
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is_ = _unsupported_function("is_")
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is_lexsorted = _unsupported_function("is_lexsorted")
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is_lexsorted_for_tuple = _unsupported_function("is_lexsorted_for_tuple")
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join = _unsupported_function("join")
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map = _unsupported_function("map")
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putmask = _unsupported_function("putmask")
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ravel = _unsupported_function("ravel")
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reindex = _unsupported_function("reindex")
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remove_unused_levels = _unsupported_function("remove_unused_levels")
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reorder_levels = _unsupported_function("reorder_levels")
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searchsorted = _unsupported_function("searchsorted")
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set_codes = _unsupported_function("set_codes")
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set_levels = _unsupported_function("set_levels")
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slice_indexer = _unsupported_function("slice_indexer")
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slice_locs = _unsupported_function("slice_locs")
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sortlevel = _unsupported_function("sortlevel")
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to_flat_index = _unsupported_function("to_flat_index")
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to_native_types = _unsupported_function("to_native_types")
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truncate = _unsupported_function("truncate")
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where = _unsupported_function("where")
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# Deprecated functions
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is_mixed = _unsupported_function("is_mixed")
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get_duplicates = _unsupported_function("get_duplicates", deprecated=True)
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get_values = _unsupported_function("get_values", deprecated=True)
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set_value = _unsupported_function("set_value", deprecated=True)
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# Functions we won't support.
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array = common.array(_unsupported_property)
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duplicated = common.duplicated(_unsupported_property)
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codes = _unsupported_property(
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"codes",
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reason="'codes' requires to collect all data into the driver which is against the "
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"design principle of pandas-on-Spark. Alternatively, you could call 'to_pandas()' and"
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" use 'codes' property in pandas.",
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)
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levels = _unsupported_property(
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"levels",
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reason="'levels' requires to collect all data into the driver which is against the "
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"design principle of pandas-on-Spark. Alternatively, you could call 'to_pandas()' and"
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" use 'levels' property in pandas.",
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)
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__iter__ = common.__iter__(_unsupported_function)
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# Properties we won't support.
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memory_usage = common.memory_usage(_unsupported_function)
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if LooseVersion(pd.__version__) < LooseVersion("1.0"):
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# Deprecated properties
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base = _unsupported_property("base", deprecated=True)
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labels = _unsupported_property("labels", deprecated=True)
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flags = _unsupported_property("flags", deprecated=True)
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# Deprecated functions
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set_labels = _unsupported_function("set_labels")
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summary = _unsupported_function("summary", deprecated=True)
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to_hierarchical = _unsupported_function("to_hierarchical", deprecated=True)
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contains = _unsupported_function("contains", deprecated=True)
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