class MissingPandasLikeIndex(object): # Properties nbytes = _unsupported_property("nbytes") # Functions argsort = _unsupported_function("argsort") asof_locs = _unsupported_function("asof_locs") format = _unsupported_function("format") get_indexer = _unsupported_function("get_indexer") get_indexer_for = _unsupported_function("get_indexer_for") get_indexer_non_unique = _unsupported_function("get_indexer_non_unique") get_loc = _unsupported_function("get_loc") get_slice_bound = _unsupported_function("get_slice_bound") get_value = _unsupported_function("get_value") groupby = _unsupported_function("groupby") is_ = _unsupported_function("is_") is_lexsorted_for_tuple = _unsupported_function("is_lexsorted_for_tuple") join = _unsupported_function("join") map = _unsupported_function("map") putmask = _unsupported_function("putmask") ravel = _unsupported_function("ravel") reindex = _unsupported_function("reindex") searchsorted = _unsupported_function("searchsorted") slice_indexer = _unsupported_function("slice_indexer") slice_locs = _unsupported_function("slice_locs") sortlevel = _unsupported_function("sortlevel") to_flat_index = _unsupported_function("to_flat_index") to_native_types = _unsupported_function("to_native_types") where = _unsupported_function("where") # Deprecated functions is_mixed = _unsupported_function("is_mixed") get_values = _unsupported_function("get_values", deprecated=True) set_value = _unsupported_function("set_value") # Properties we won't support. array = common.array(_unsupported_property) duplicated = common.duplicated(_unsupported_property) # Functions we won't support. memory_usage = common.memory_usage(_unsupported_function) __iter__ = common.__iter__(_unsupported_function) if LooseVersion(pd.__version__) < LooseVersion("1.0"): # Deprecated properties strides = _unsupported_property("strides", deprecated=True) data = _unsupported_property("data", deprecated=True) itemsize = _unsupported_property("itemsize", deprecated=True) base = _unsupported_property("base", deprecated=True) flags = _unsupported_property("flags", deprecated=True) # Deprecated functions get_duplicates = _unsupported_function("get_duplicates", deprecated=True) summary = _unsupported_function("summary", deprecated=True) contains = _unsupported_function("contains", deprecated=True)
class MissingPandasLikeSeries: # Functions asfreq = _unsupported_function("asfreq") autocorr = _unsupported_function("autocorr") combine = _unsupported_function("combine") convert_dtypes = _unsupported_function("convert_dtypes") ewm = _unsupported_function("ewm") infer_objects = _unsupported_function("infer_objects") interpolate = _unsupported_function("interpolate") reorder_levels = _unsupported_function("reorder_levels") resample = _unsupported_function("resample") searchsorted = _unsupported_function("searchsorted") set_axis = _unsupported_function("set_axis") to_hdf = _unsupported_function("to_hdf") to_period = _unsupported_function("to_period") to_sql = _unsupported_function("to_sql") to_timestamp = _unsupported_function("to_timestamp") tz_convert = _unsupported_function("tz_convert") tz_localize = _unsupported_function("tz_localize") view = _unsupported_function("view") # Deprecated functions slice_shift = _unsupported_function( "slice_shift", deprecated=True, reason="Use DataFrame/Series.shift instead.") tshift = _unsupported_function("tshift", deprecated=True, reason="Use `shift` instead.") # Properties we won't support. array = common.array(_unsupported_property) duplicated = common.duplicated(_unsupported_property) nbytes = _unsupported_property( "nbytes", reason= "'nbytes' requires to compute whole dataset. You can calculate manually it, " "with its 'itemsize', by explicitly executing its count. Use Spark's web UI " "to monitor disk and memory usage of your application in general.", ) # Functions we won't support. memory_usage = common.memory_usage(_unsupported_function) to_pickle = common.to_pickle(_unsupported_function) to_xarray = common.to_xarray(_unsupported_function) __iter__ = common.__iter__(_unsupported_function) ravel = _unsupported_function( "ravel", reason= "If you want to collect your flattened underlying data as an NumPy array, " "use 'to_numpy().ravel()' instead.", )
class MissingPandasLikeIndex: # NOTE: Please update the document "Supported pandas APIs" when implementing the new API. # Documentation path: `python/docs/source/user_guide/pandas_on_spark/supported_pandas_api.rst`. # Properties nbytes = _unsupported_property("nbytes") # Functions argsort = _unsupported_function("argsort") asof_locs = _unsupported_function("asof_locs") format = _unsupported_function("format") get_indexer = _unsupported_function("get_indexer") get_indexer_for = _unsupported_function("get_indexer_for") get_indexer_non_unique = _unsupported_function("get_indexer_non_unique") get_loc = _unsupported_function("get_loc") get_slice_bound = _unsupported_function("get_slice_bound") get_value = _unsupported_function("get_value") groupby = _unsupported_function("groupby") is_ = _unsupported_function("is_") join = _unsupported_function("join") putmask = _unsupported_function("putmask") ravel = _unsupported_function("ravel") reindex = _unsupported_function("reindex") searchsorted = _unsupported_function("searchsorted") slice_indexer = _unsupported_function("slice_indexer") slice_locs = _unsupported_function("slice_locs") sortlevel = _unsupported_function("sortlevel") to_flat_index = _unsupported_function("to_flat_index") where = _unsupported_function("where") is_mixed = _unsupported_function("is_mixed") # Deprecated functions set_value = _unsupported_function("set_value", deprecated=True) to_native_types = _unsupported_function("to_native_types", deprecated=True) # Properties we won't support. array = common.array(_unsupported_property) duplicated = common.duplicated(_unsupported_property) # Functions we won't support. memory_usage = common.memory_usage(_unsupported_function) __iter__ = common.__iter__(_unsupported_function)
class MissingPandasLikeIndex(object): # Properties nbytes = _unsupported_property("nbytes") # Functions argsort = _unsupported_function("argsort") asof_locs = _unsupported_function("asof_locs") format = _unsupported_function("format") get_indexer = _unsupported_function("get_indexer") get_indexer_for = _unsupported_function("get_indexer_for") get_indexer_non_unique = _unsupported_function("get_indexer_non_unique") get_loc = _unsupported_function("get_loc") get_slice_bound = _unsupported_function("get_slice_bound") get_value = _unsupported_function("get_value") groupby = _unsupported_function("groupby") is_ = _unsupported_function("is_") join = _unsupported_function("join") putmask = _unsupported_function("putmask") ravel = _unsupported_function("ravel") reindex = _unsupported_function("reindex") searchsorted = _unsupported_function("searchsorted") slice_indexer = _unsupported_function("slice_indexer") slice_locs = _unsupported_function("slice_locs") sortlevel = _unsupported_function("sortlevel") to_flat_index = _unsupported_function("to_flat_index") where = _unsupported_function("where") is_mixed = _unsupported_function("is_mixed") # Deprecated functions set_value = _unsupported_function("set_value", deprecated=True) to_native_types = _unsupported_function("to_native_types", deprecated=True) # Properties we won't support. array = common.array(_unsupported_property) duplicated = common.duplicated(_unsupported_property) # Functions we won't support. memory_usage = common.memory_usage(_unsupported_function) __iter__ = common.__iter__(_unsupported_function)
class MissingPandasLikeMultiIndex(object): # Functions argsort = _unsupported_function("argsort") asof_locs = _unsupported_function("asof_locs") equal_levels = _unsupported_function("equal_levels") factorize = _unsupported_function("factorize") format = _unsupported_function("format") get_indexer = _unsupported_function("get_indexer") get_indexer_for = _unsupported_function("get_indexer_for") get_indexer_non_unique = _unsupported_function("get_indexer_non_unique") get_loc = _unsupported_function("get_loc") get_loc_level = _unsupported_function("get_loc_level") get_locs = _unsupported_function("get_locs") get_slice_bound = _unsupported_function("get_slice_bound") get_value = _unsupported_function("get_value") groupby = _unsupported_function("groupby") is_ = _unsupported_function("is_") is_lexsorted = _unsupported_function("is_lexsorted") join = _unsupported_function("join") map = _unsupported_function("map") putmask = _unsupported_function("putmask") ravel = _unsupported_function("ravel") reindex = _unsupported_function("reindex") remove_unused_levels = _unsupported_function("remove_unused_levels") reorder_levels = _unsupported_function("reorder_levels") searchsorted = _unsupported_function("searchsorted") set_codes = _unsupported_function("set_codes") set_levels = _unsupported_function("set_levels") slice_indexer = _unsupported_function("slice_indexer") slice_locs = _unsupported_function("slice_locs") sortlevel = _unsupported_function("sortlevel") to_flat_index = _unsupported_function("to_flat_index") truncate = _unsupported_function("truncate") where = _unsupported_function("where") # Deprecated functions is_mixed = _unsupported_function( "is_mixed", deprecated=True, reason="Check index.inferred_type directly instead.") set_value = _unsupported_function("set_value", deprecated=True) to_native_types = _unsupported_function("to_native_types", deprecated=True) # Functions we won't support. array = common.array(_unsupported_property) duplicated = common.duplicated(_unsupported_property) codes = _unsupported_property( "codes", reason= "'codes' requires to collect all data into the driver which is against the " "design principle of pandas-on-Spark. Alternatively, you could call 'to_pandas()' and" " use 'codes' property in pandas.", ) levels = _unsupported_property( "levels", reason= "'levels' requires to collect all data into the driver which is against the " "design principle of pandas-on-Spark. Alternatively, you could call 'to_pandas()' and" " use 'levels' property in pandas.", ) __iter__ = common.__iter__(_unsupported_function) # Properties we won't support. memory_usage = common.memory_usage(_unsupported_function)
class MissingPandasLikeSeries(object): # Functions asfreq = _unsupported_function("asfreq") autocorr = _unsupported_function("autocorr") combine = _unsupported_function("combine") convert_dtypes = _unsupported_function("convert_dtypes") cov = _unsupported_function("cov") ewm = _unsupported_function("ewm") infer_objects = _unsupported_function("infer_objects") interpolate = _unsupported_function("interpolate") reorder_levels = _unsupported_function("reorder_levels") resample = _unsupported_function("resample") searchsorted = _unsupported_function("searchsorted") set_axis = _unsupported_function("set_axis") slice_shift = _unsupported_function("slice_shift") to_hdf = _unsupported_function("to_hdf") to_period = _unsupported_function("to_period") to_sql = _unsupported_function("to_sql") to_timestamp = _unsupported_function("to_timestamp") tshift = _unsupported_function("tshift") tz_convert = _unsupported_function("tz_convert") tz_localize = _unsupported_function("tz_localize") view = _unsupported_function("view") # Deprecated functions convert_objects = _unsupported_function("convert_objects", deprecated=True) nonzero = _unsupported_function("nonzero", deprecated=True) reindex_axis = _unsupported_function("reindex_axis", deprecated=True) select = _unsupported_function("select", deprecated=True) get_values = _unsupported_function("get_values", deprecated=True) # Properties we won't support. array = common.array(_unsupported_property) duplicated = common.duplicated(_unsupported_property) nbytes = _unsupported_property( "nbytes", reason= "'nbytes' requires to compute whole dataset. You can calculate manually it, " "with its 'itemsize', by explicitly executing its count. Use Spark's web UI " "to monitor disk and memory usage of your application in general.", ) # Functions we won't support. memory_usage = common.memory_usage(_unsupported_function) to_pickle = common.to_pickle(_unsupported_function) to_xarray = common.to_xarray(_unsupported_function) __iter__ = common.__iter__(_unsupported_function) ravel = _unsupported_function( "ravel", reason= "If you want to collect your flattened underlying data as an NumPy array, " "use 'to_numpy().ravel()' instead.", ) if LooseVersion(pd.__version__) < LooseVersion("1.0"): # Deprecated properties blocks = _unsupported_property("blocks", deprecated=True) ftypes = _unsupported_property("ftypes", deprecated=True) ftype = _unsupported_property("ftype", deprecated=True) is_copy = _unsupported_property("is_copy", deprecated=True) ix = _unsupported_property("ix", deprecated=True) asobject = _unsupported_property("asobject", deprecated=True) strides = _unsupported_property("strides", deprecated=True) imag = _unsupported_property("imag", deprecated=True) itemsize = _unsupported_property("itemsize", deprecated=True) data = _unsupported_property("data", deprecated=True) base = _unsupported_property("base", deprecated=True) flags = _unsupported_property("flags", deprecated=True) # Deprecated functions as_blocks = _unsupported_function("as_blocks", deprecated=True) as_matrix = _unsupported_function("as_matrix", deprecated=True) clip_lower = _unsupported_function("clip_lower", deprecated=True) clip_upper = _unsupported_function("clip_upper", deprecated=True) compress = _unsupported_function("compress", deprecated=True) get_ftype_counts = _unsupported_function("get_ftype_counts", deprecated=True) get_value = _unsupported_function("get_value", deprecated=True) set_value = _unsupported_function("set_value", deprecated=True) valid = _unsupported_function("valid", deprecated=True) to_dense = _unsupported_function("to_dense", deprecated=True) to_sparse = _unsupported_function("to_sparse", deprecated=True) to_msgpack = _unsupported_function("to_msgpack", deprecated=True) compound = _unsupported_function("compound", deprecated=True) put = _unsupported_function("put", deprecated=True) ptp = _unsupported_function("ptp", deprecated=True) # Functions we won't support. real = _unsupported_property( "real", reason= "If you want to collect your data as an NumPy array, use 'to_numpy()' instead.", )
class MissingPandasLikeMultiIndex(object): # Deprecated properties strides = _unsupported_property("strides", deprecated=True) data = _unsupported_property("data", deprecated=True) itemsize = _unsupported_property("itemsize", deprecated=True) # Functions argsort = _unsupported_function("argsort") asof_locs = _unsupported_function("asof_locs") equal_levels = _unsupported_function("equal_levels") factorize = _unsupported_function("factorize") format = _unsupported_function("format") get_indexer = _unsupported_function("get_indexer") get_indexer_for = _unsupported_function("get_indexer_for") get_indexer_non_unique = _unsupported_function("get_indexer_non_unique") get_loc = _unsupported_function("get_loc") get_loc_level = _unsupported_function("get_loc_level") get_locs = _unsupported_function("get_locs") get_slice_bound = _unsupported_function("get_slice_bound") get_value = _unsupported_function("get_value") groupby = _unsupported_function("groupby") is_ = _unsupported_function("is_") is_lexsorted = _unsupported_function("is_lexsorted") is_lexsorted_for_tuple = _unsupported_function("is_lexsorted_for_tuple") join = _unsupported_function("join") map = _unsupported_function("map") putmask = _unsupported_function("putmask") ravel = _unsupported_function("ravel") reindex = _unsupported_function("reindex") remove_unused_levels = _unsupported_function("remove_unused_levels") reorder_levels = _unsupported_function("reorder_levels") searchsorted = _unsupported_function("searchsorted") set_codes = _unsupported_function("set_codes") set_levels = _unsupported_function("set_levels") slice_indexer = _unsupported_function("slice_indexer") slice_locs = _unsupported_function("slice_locs") sortlevel = _unsupported_function("sortlevel") to_flat_index = _unsupported_function("to_flat_index") to_native_types = _unsupported_function("to_native_types") truncate = _unsupported_function("truncate") where = _unsupported_function("where") # Deprecated functions is_mixed = _unsupported_function("is_mixed") get_duplicates = _unsupported_function("get_duplicates", deprecated=True) get_values = _unsupported_function("get_values", deprecated=True) set_value = _unsupported_function("set_value", deprecated=True) # Functions we won't support. array = common.array(_unsupported_property) duplicated = common.duplicated(_unsupported_property) codes = _unsupported_property( "codes", reason= "'codes' requires to collect all data into the driver which is against the " "design principle of Koalas. Alternatively, you could call 'to_pandas()' and" " use 'codes' property in pandas.", ) levels = _unsupported_property( "levels", reason= "'levels' requires to collect all data into the driver which is against the " "design principle of Koalas. Alternatively, you could call 'to_pandas()' and" " use 'levels' property in pandas.", ) __iter__ = common.__iter__(_unsupported_function) # Properties we won't support. memory_usage = common.memory_usage(_unsupported_function) if LooseVersion(pd.__version__) < LooseVersion("1.0"): # Deprecated properties base = _unsupported_property("base", deprecated=True) labels = _unsupported_property("labels", deprecated=True) flags = _unsupported_property("flags", deprecated=True) # Deprecated functions set_labels = _unsupported_function("set_labels") summary = _unsupported_function("summary", deprecated=True) to_hierarchical = _unsupported_function("to_hierarchical", deprecated=True) contains = _unsupported_function("contains", deprecated=True)