class MissingPandasLikeIndex(object): # Properties nbytes = _unsupported_property("nbytes") # Functions argsort = _unsupported_function("argsort") asof_locs = _unsupported_function("asof_locs") 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_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) to_list = common.to_list(_unsupported_function) tolist = common.tolist(_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 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)
class _MissingPandasLikeSeries(object): # Functions align = unsupported_function("align") argsort = unsupported_function("argsort") asfreq = unsupported_function("asfreq") asof = unsupported_function("asof") at_time = unsupported_function("at_time") autocorr = unsupported_function("autocorr") between_time = unsupported_function("between_time") bfill = unsupported_function("bfill") combine = unsupported_function("combine") combine_first = unsupported_function("combine_first") cov = unsupported_function("cov") divmod = unsupported_function("divmod") droplevel = unsupported_function("droplevel") ewm = unsupported_function("ewm") factorize = unsupported_function("factorize") ffill = unsupported_function("ffill") filter = unsupported_function("filter") first = unsupported_function("first") infer_objects = unsupported_function("infer_objects") interpolate = unsupported_function("interpolate") item = unsupported_function("item") items = unsupported_function("items") iteritems = unsupported_function("iteritems") last = unsupported_function("last") last_valid_index = unsupported_function("last_valid_index") mad = unsupported_function("mad") prod = unsupported_function("prod") product = unsupported_function("product") rdivmod = unsupported_function("rdivmod") reindex = unsupported_function("reindex") reindex_like = unsupported_function("reindex_like") rename_axis = unsupported_function("rename_axis") reorder_levels = unsupported_function("reorder_levels") resample = unsupported_function("resample") searchsorted = unsupported_function("searchsorted") sem = unsupported_function("sem") set_axis = unsupported_function("set_axis") slice_shift = unsupported_function("slice_shift") squeeze = unsupported_function("squeeze") swapaxes = unsupported_function("swapaxes") swaplevel = unsupported_function("swaplevel") tail = unsupported_function("tail") take = unsupported_function("take") 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") unstack = unsupported_function("unstack") 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) argmax = unsupported_function("argmax", deprecated=True) argmin = unsupported_function("argmin", 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 = unsupported_function("asof") asof_locs = unsupported_function("asof_locs") delete = unsupported_function("delete") difference = unsupported_function("difference") droplevel = unsupported_function("droplevel") 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_level_values = unsupported_function("get_level_values") 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") holds_integer = unsupported_function("holds_integer") insert = unsupported_function("insert") intersection = unsupported_function("intersection") is_ = unsupported_function("is_") is_lexsorted = unsupported_function("is_lexsorted") is_lexsorted_for_tuple = unsupported_function("is_lexsorted_for_tuple") is_mixed = unsupported_function("is_mixed") is_type_compatible = unsupported_function("is_type_compatible") 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") repeat = unsupported_function("repeat") 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") take = unsupported_function("take") to_flat_index = unsupported_function("to_flat_index") to_native_types = unsupported_function("to_native_types") truncate = unsupported_function("truncate") union = unsupported_function("union") view = unsupported_function("view") where = unsupported_function("where") # Deprecated functions get_duplicates = unsupported_function("get_duplicates", deprecated=True) get_values = unsupported_function("get_values", deprecated=True) item = unsupported_function("item", deprecated=True) set_value = unsupported_function("set_value", deprecated=True) # Functions we won't support. values = common.values(unsupported_property) 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) to_list = common.to_list(unsupported_function) tolist = common.tolist(unsupported_function)
class _MissingPandasLikeIndex(object): # Properties nbytes = unsupported_property("nbytes") # Functions argsort = unsupported_function("argsort") asof = unsupported_function("asof") asof_locs = unsupported_function("asof_locs") delete = unsupported_function("delete") difference = unsupported_function("difference") droplevel = unsupported_function("droplevel") 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_level_values = unsupported_function("get_level_values") get_loc = unsupported_function("get_loc") get_slice_bound = unsupported_function("get_slice_bound") get_value = unsupported_function("get_value") groupby = unsupported_function("groupby") holds_integer = unsupported_function("holds_integer") insert = unsupported_function("insert") intersection = unsupported_function("intersection") is_ = unsupported_function("is_") is_lexsorted_for_tuple = unsupported_function("is_lexsorted_for_tuple") is_mixed = unsupported_function("is_mixed") is_type_compatible = unsupported_function("is_type_compatible") join = unsupported_function("join") map = unsupported_function("map") putmask = unsupported_function("putmask") ravel = unsupported_function("ravel") reindex = unsupported_function("reindex") repeat = unsupported_function("repeat") searchsorted = unsupported_function("searchsorted") slice_indexer = unsupported_function("slice_indexer") slice_locs = unsupported_function("slice_locs") sortlevel = unsupported_function("sortlevel") take = unsupported_function("take") to_flat_index = unsupported_function("to_flat_index") to_native_types = unsupported_function("to_native_types") union = unsupported_function("union") view = unsupported_function("view") where = unsupported_function("where") # Deprecated functions get_values = unsupported_function("get_values", deprecated=True) item = unsupported_function("item", deprecated=True) set_value = unsupported_function("set_value") # Properties we won't support. values = common.values(unsupported_property) array = common.array(unsupported_property) duplicated = common.duplicated(unsupported_property) # Functions we won't support. memory_usage = common.memory_usage(unsupported_function) to_list = common.to_list(unsupported_function) tolist = common.tolist(unsupported_function) __iter__ = common.__iter__(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 _MissingPandasLikeIndex(object): # Properties nbytes = unsupported_property('nbytes') # 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) # Functions argsort = unsupported_function('argsort') asof = unsupported_function('asof') asof_locs = unsupported_function('asof_locs') delete = unsupported_function('delete') difference = unsupported_function('difference') droplevel = unsupported_function('droplevel') 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_level_values = unsupported_function('get_level_values') get_loc = unsupported_function('get_loc') get_slice_bound = unsupported_function('get_slice_bound') get_value = unsupported_function('get_value') groupby = unsupported_function('groupby') holds_integer = unsupported_function('holds_integer') insert = unsupported_function('insert') intersection = unsupported_function('intersection') is_ = unsupported_function('is_') is_lexsorted_for_tuple = unsupported_function('is_lexsorted_for_tuple') is_mixed = unsupported_function('is_mixed') is_type_compatible = unsupported_function('is_type_compatible') join = unsupported_function('join') map = unsupported_function('map') putmask = unsupported_function('putmask') ravel = unsupported_function('ravel') reindex = unsupported_function('reindex') repeat = unsupported_function('repeat') searchsorted = unsupported_function('searchsorted') set_value = unsupported_function('set_value') slice_indexer = unsupported_function('slice_indexer') slice_locs = unsupported_function('slice_locs') sortlevel = unsupported_function('sortlevel') take = unsupported_function('take') to_flat_index = unsupported_function('to_flat_index') to_native_types = unsupported_function('to_native_types') union = unsupported_function('union') view = unsupported_function('view') where = unsupported_function('where') # Deprecated functions get_duplicates = unsupported_function('get_duplicates', deprecated=True) summary = unsupported_function('summary', deprecated=True) get_values = unsupported_function('get_values', deprecated=True) item = unsupported_function('item', deprecated=True) contains = unsupported_function('contains', deprecated=True) # Properties we won't support. values = common.values(unsupported_property) array = common.array(unsupported_property) duplicated = common.duplicated(unsupported_property) # Functions we won't support. memory_usage = common.memory_usage(unsupported_function) to_list = common.to_list(unsupported_function) tolist = common.tolist(unsupported_function) __iter__ = common.__iter__(unsupported_function)
class _MissingPandasLikeMultiIndex(object): # Deprecated properties strides = unsupported_property('strides', deprecated=True) data = unsupported_property('data', deprecated=True) base = unsupported_property('base', deprecated=True) itemsize = unsupported_property('itemsize', deprecated=True) labels = unsupported_property('labels', deprecated=True) flags = unsupported_property('flags', deprecated=True) # Functions argsort = unsupported_function('argsort') asof = unsupported_function('asof') asof_locs = unsupported_function('asof_locs') delete = unsupported_function('delete') difference = unsupported_function('difference') droplevel = unsupported_function('droplevel') 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_level_values = unsupported_function('get_level_values') 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') holds_integer = unsupported_function('holds_integer') insert = unsupported_function('insert') intersection = unsupported_function('intersection') is_ = unsupported_function('is_') is_lexsorted = unsupported_function('is_lexsorted') is_lexsorted_for_tuple = unsupported_function('is_lexsorted_for_tuple') is_mixed = unsupported_function('is_mixed') is_type_compatible = unsupported_function('is_type_compatible') 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') repeat = unsupported_function('repeat') searchsorted = unsupported_function('searchsorted') set_codes = unsupported_function('set_codes') set_labels = unsupported_function('set_labels') set_levels = unsupported_function('set_levels') set_value = unsupported_function('set_value') slice_indexer = unsupported_function('slice_indexer') slice_locs = unsupported_function('slice_locs') sortlevel = unsupported_function('sortlevel') take = unsupported_function('take') to_flat_index = unsupported_function('to_flat_index') to_native_types = unsupported_function('to_native_types') truncate = unsupported_function('truncate') union = unsupported_function('union') view = unsupported_function('view') where = unsupported_function('where') # Deprecated functions get_duplicates = unsupported_function('get_duplicates', deprecated=True) summary = unsupported_function('summary', deprecated=True) to_hierarchical = unsupported_function('to_hierarchical', deprecated=True) get_values = unsupported_function('get_values', deprecated=True) contains = unsupported_function('contains', deprecated=True) item = unsupported_function('item', deprecated=True) # Functions we won't support. values = common.values(unsupported_property) 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) to_list = common.to_list(unsupported_function) tolist = common.tolist(unsupported_function)
class _MissingPandasLikeMultiIndex(object): # Properties T = unsupported_property('T') codes = unsupported_property('codes') has_duplicates = unsupported_property('has_duplicates') is_all_dates = unsupported_property('is_all_dates') levels = unsupported_property('levels') levshape = unsupported_property('levshape') ndim = unsupported_property('ndim') nlevels = unsupported_property('nlevels') shape = unsupported_property('shape') # Deprecated properties strides = unsupported_property('strides', deprecated=True) data = unsupported_property('data', deprecated=True) base = unsupported_property('base', deprecated=True) itemsize = unsupported_property('itemsize', deprecated=True) labels = unsupported_property('labels', deprecated=True) flags = unsupported_property('flags', deprecated=True) # Functions append = unsupported_function('append') argmax = unsupported_function('argmax') argmin = unsupported_function('argmin') argsort = unsupported_function('argsort') asof = unsupported_function('asof') asof_locs = unsupported_function('asof_locs') delete = unsupported_function('delete') difference = unsupported_function('difference') drop = unsupported_function('drop') drop_duplicates = unsupported_function('drop_duplicates') droplevel = unsupported_function('droplevel') dropna = unsupported_function('dropna') duplicated = unsupported_function('duplicated') equal_levels = unsupported_function('equal_levels') equals = unsupported_function('equals') factorize = unsupported_function('factorize') fillna = unsupported_function('fillna') 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_level_values = unsupported_function('get_level_values') 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') holds_integer = unsupported_function('holds_integer') identical = unsupported_function('identical') insert = unsupported_function('insert') intersection = unsupported_function('intersection') is_ = unsupported_function('is_') is_lexsorted = unsupported_function('is_lexsorted') is_lexsorted_for_tuple = unsupported_function('is_lexsorted_for_tuple') is_mixed = unsupported_function('is_mixed') is_type_compatible = unsupported_function('is_type_compatible') join = unsupported_function('join') map = unsupported_function('map') max = unsupported_function('max') min = unsupported_function('min') nunique = unsupported_function('nunique') 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') repeat = unsupported_function('repeat') searchsorted = unsupported_function('searchsorted') set_codes = unsupported_function('set_codes') set_labels = unsupported_function('set_labels') set_levels = unsupported_function('set_levels') set_names = unsupported_function('set_names') set_value = unsupported_function('set_value') slice_indexer = unsupported_function('slice_indexer') slice_locs = unsupported_function('slice_locs') sort = unsupported_function('sort') sort_values = unsupported_function('sort_values') sortlevel = unsupported_function('sortlevel') swaplevel = unsupported_function('swaplevel') symmetric_difference = unsupported_function('symmetric_difference') take = unsupported_function('take') to_flat_index = unsupported_function('to_flat_index') to_frame = unsupported_function('to_frame') to_native_types = unsupported_function('to_native_types') to_numpy = unsupported_function('to_numpy') transpose = unsupported_function('transpose') truncate = unsupported_function('truncate') union = unsupported_function('union') value_counts = unsupported_function('value_counts') view = unsupported_function('view') where = unsupported_function('where') # Deprecated functions get_duplicates = unsupported_function('get_duplicates', deprecated=True) summary = unsupported_function('summary', deprecated=True) to_hierarchical = unsupported_function('to_hierarchical', deprecated=True) get_values = unsupported_function('get_values', deprecated=True) contains = unsupported_function('contains', deprecated=True) item = unsupported_function('item', deprecated=True) # Functions we won't support. values = common.values(unsupported_property) array = common.array(unsupported_property) __iter__ = common.__iter__(unsupported_function) # Properties we won't support. memory_usage = common.memory_usage(unsupported_function) to_list = common.to_list(unsupported_function) tolist = common.tolist(unsupported_function)
class _MissingPandasLikeSeries(object): # Properties axes = unsupported_property('axes') iat = unsupported_property('iat') # 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) # Functions align = unsupported_function('align') argsort = unsupported_function('argsort') asfreq = unsupported_function('asfreq') asof = unsupported_function('asof') at_time = unsupported_function('at_time') autocorr = unsupported_function('autocorr') between_time = unsupported_function('between_time') bfill = unsupported_function('bfill') combine = unsupported_function('combine') combine_first = unsupported_function('combine_first') cov = unsupported_function('cov') divmod = unsupported_function('divmod') dot = unsupported_function('dot') droplevel = unsupported_function('droplevel') duplicated = unsupported_function('duplicated') ewm = unsupported_function('ewm') factorize = unsupported_function('factorize') ffill = unsupported_function('ffill') filter = unsupported_function('filter') first = unsupported_function('first') get = unsupported_function('get') infer_objects = unsupported_function('infer_objects') interpolate = unsupported_function('interpolate') items = unsupported_function('items') iteritems = unsupported_function('iteritems') last = unsupported_function('last') last_valid_index = unsupported_function('last_valid_index') mad = unsupported_function('mad') pct_change = unsupported_function('pct_change') pop = unsupported_function('pop') prod = unsupported_function('prod') product = unsupported_function('product') ravel = unsupported_function('ravel') rdivmod = unsupported_function('rdivmod') reindex = unsupported_function('reindex') reindex_like = unsupported_function('reindex_like') rename_axis = unsupported_function('rename_axis') reorder_levels = unsupported_function('reorder_levels') repeat = unsupported_function('repeat') resample = unsupported_function('resample') searchsorted = unsupported_function('searchsorted') sem = unsupported_function('sem') set_axis = unsupported_function('set_axis') slice_shift = unsupported_function('slice_shift') squeeze = unsupported_function('squeeze') swapaxes = unsupported_function('swapaxes') swaplevel = unsupported_function('swaplevel') tail = unsupported_function('tail') take = unsupported_function('take') 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') unstack = unsupported_function('unstack') view = unsupported_function('view') # 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) convert_objects = unsupported_function('convert_objects', deprecated=True) get_ftype_counts = unsupported_function('get_ftype_counts', deprecated=True) get_value = unsupported_function('get_value', deprecated=True) nonzero = unsupported_function('nonzero', deprecated=True) reindex_axis = unsupported_function('reindex_axis', deprecated=True) select = unsupported_function('select', deprecated=True) set_value = unsupported_function('set_value', deprecated=True) valid = unsupported_function('valid', deprecated=True) get_values = unsupported_function('get_values', 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) item = unsupported_function('item', deprecated=True) ptp = unsupported_function('ptp', deprecated=True) argmax = unsupported_function('argmax', deprecated=True) argmin = unsupported_function('argmin', deprecated=True) # Properties we won't support. values = common.values(unsupported_property) array = common.array(unsupported_property) real = unsupported_property( 'real', reason= "If you want to collect your data as an NumPy array, use 'to_numpy()' instead." ) 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)
class _MissingPandasLikeSeries(object): # Functions align = unsupported_function("align") argsort = unsupported_function("argsort") asfreq = unsupported_function("asfreq") asof = unsupported_function("asof") at_time = unsupported_function("at_time") autocorr = unsupported_function("autocorr") between_time = unsupported_function("between_time") bfill = unsupported_function("bfill") combine = unsupported_function("combine") combine_first = unsupported_function("combine_first") cov = unsupported_function("cov") divmod = unsupported_function("divmod") dot = unsupported_function("dot") droplevel = unsupported_function("droplevel") ewm = unsupported_function("ewm") factorize = unsupported_function("factorize") ffill = unsupported_function("ffill") filter = unsupported_function("filter") first = unsupported_function("first") infer_objects = unsupported_function("infer_objects") interpolate = unsupported_function("interpolate") item = unsupported_function("item") items = unsupported_function("items") iteritems = unsupported_function("iteritems") last = unsupported_function("last") last_valid_index = unsupported_function("last_valid_index") mad = unsupported_function("mad") prod = unsupported_function("prod") product = unsupported_function("product") rdivmod = unsupported_function("rdivmod") reindex = unsupported_function("reindex") reindex_like = unsupported_function("reindex_like") rename_axis = unsupported_function("rename_axis") reorder_levels = unsupported_function("reorder_levels") repeat = unsupported_function("repeat") resample = unsupported_function("resample") searchsorted = unsupported_function("searchsorted") sem = unsupported_function("sem") set_axis = unsupported_function("set_axis") slice_shift = unsupported_function("slice_shift") squeeze = unsupported_function("squeeze") swapaxes = unsupported_function("swapaxes") swaplevel = unsupported_function("swaplevel") tail = unsupported_function("tail") take = unsupported_function("take") 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") unstack = unsupported_function("unstack") 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. values = common.values(unsupported_property) 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.", )