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 _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 = unsupported_function('between')
between_time = unsupported_function('between_time')
bfill = unsupported_function('bfill')
combine = unsupported_function('combine')
combine_first = unsupported_function('combine_first')
copy = unsupported_function('copy')
cov = unsupported_function('cov')
divmod = unsupported_function('divmod')
dot = unsupported_function('dot')
drop = unsupported_function('drop')
drop_duplicates = unsupported_function('drop_duplicates')
droplevel = unsupported_function('droplevel')
duplicated = unsupported_function('duplicated')
ewm = unsupported_function('ewm')
expanding = unsupported_function('expanding')
factorize = unsupported_function('factorize')
ffill = unsupported_function('ffill')
filter = unsupported_function('filter')
first = unsupported_function('first')
first_valid_index = unsupported_function('first_valid_index')
get = unsupported_function('get')
infer_objects = unsupported_function('infer_objects')
interpolate = unsupported_function('interpolate')
items = unsupported_function('items')
iteritems = unsupported_function('iteritems')
keys = unsupported_function('keys')
last = unsupported_function('last')
last_valid_index = unsupported_function('last_valid_index')
mad = unsupported_function('mad')
mask = unsupported_function('mask')
mode = unsupported_function('mode')
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')
replace = unsupported_function('replace')
resample = unsupported_function('resample')
rolling = unsupported_function('rolling')
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')
truncate = unsupported_function('truncate')
tshift = unsupported_function('tshift')
tz_convert = unsupported_function('tz_convert')
tz_localize = unsupported_function('tz_localize')
unstack = unsupported_function('unstack')
update = unsupported_function('update')
view = unsupported_function('view')
where = unsupported_function('where')
xs = unsupported_function('xs')
# 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)
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):
# 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.",
)
