series_supported.rst

pd.Series supported APIs

The following table lists both implemented and not implemented methods. If you have need of an operation that is listed as not implemented, feel free to open an issue on the GitHub repository, or give a thumbs up to already created issues. Contributions are also welcome!

The following table is structured as follows: The first column contains the method name. The second column is a flag for whether or not there is an implementation in Modin for the method in the left column. Y stands for yes, N stands for no, P stands for partial (meaning some parameters may not be supported yet), and D stands for default to pandas. To learn more about the implementations that default to pandas, see the related section on Defaulting to pandas </supported_apis/index>.

Note

Currently, the second column reflects implementation status for Ray and Dask engines. By default, support for a method in the Omnisci engine could be treated as D unless Notes column contains additional information. Similarly, by default Notes contains information about Ray and Dask engines unless Omnisci is explicitly mentioned.

Series method	Modin Implementation? (Y/N/P/D)	Notes for Current implementation
abs	Y
add	Y	Omnisci: P, support binary operations on scalars and projections of the same frame, otherwise D
add_prefix	Y
add_suffix	Y
agg	Y
aggregate	Y
align	D
all	Y
any	Y
append	Y	Omnisci: Y but sort and ignore_index parameters ignored
apply	Y
argmax	Y
argmin	Y
argsort	D
array	D
asfreq	D
asobject	D
asof	Y
astype	Y	Omnisci: P, int<->float supported
at	Y
at_time	Y
autocorr	Y
axes	Y
base	D
between	D
between_time	Y
bfill	Y
bool	Y
cat	D
clip	Y
combine	Y
combine_first	Y
compare	Y
compress	D
copy	Y
corr	Y	Correlation floating point precision may slightly differ from pandas. For now pearson method is available only. For other methods defaults to pandas.
count	Y	Omnisci: P, only default params supported, otherwise D
cov	Y	Covariance floating point precision may slightly differ from pandas.
cummax	Y
cummin	Y
cumprod	Y
cumsum	Y
data	D
describe	Y
diff	Y
div	Y	See add
divide	Y	See add
divmod	Y
dot	Y
drop	Y	Omnisci: D
drop_duplicates	Y
droplevel	Y
dropna	Y	Omnisci: P since thresh and axis params unsupported
dt	Y	Omnisci: P, only year, month, day and hour supported, otherwise D
dtype	Y
dtypes	Y	Omnisci: Y
duplicated	Y
empty	Y
eq	Y	See add
equals	Y
ewm	D
expanding	D
explode	Y
factorize	D
ffill	Y
fillna	Y	Omnisci: P, params limit, downcast and method unsupported. Also only axis = 0 supported for now
filter	Y
first	Y
first_valid_index	Y
flags	D
floordiv	Y	See add
from_array	D
ftype	Y
ge	Y	See add
get	Y
get_dtype_counts	Y
get_ftype_counts	Y
get_value	D
get_values	D
groupby	D	Omnisci: P. count, sum, size supported, otherwise D
gt	Y	See add
hasnans	Y
head	Y
hist	D
iat	Y
idxmax	Y
idxmin	Y
iloc	Y	Omnisci: P, read access fully supported, write access: no row and 2D assignments support
imag	D
index	Y
infer_objects	D
interpolate	D
is_monotonic	Y
is_monotonic_decreasing	Y
is_monotonic_increasing	Y
is_unique	Y
isin	Y
isna	Y
isnull	Y
item	Y
items	Y
itemsize	D
iteritems	Y
keys	Y
kurt	Y
kurtosis	Y
last	Y
last_valid_index	Y
le	Y	See add
loc	Y	Omnisci: P, read access fully supported, write access: no row and 2D assignments support
lt	Y	See add
mad	Y
map	Y
mask	D
max	Y	Omnisci: P, only default params supported, otherwise D
mean	P	Modin defaults to pandas if given the level param. Omnisci: P. D for level, axis, skipna and numeric_only params
median	P	Modin defaults to pandas if given the level param.
memory_usage	Y
min	Y	Omnisci: P, only default params supported, otherwise D
mod	Y	See add
mode	Y
mul	Y	See add
multiply	Y	See add
name	Y
nbytes	D
ndim	Y
ne	Y	See add
nlargest	Y
nonzero	Y
notna	Y
notnull	Y
nsmallest	Y
nunique	Y	Omnisci: P, no support for axis!=0 and dropna=False
pct_change	D
pipe	Y
plot	D
pop	Y
pow	Y	See add; Omnisci: D
prod	Y
product	Y
ptp	D
put	D
quantile	Y
radd	Y	See add
rank	Y
ravel	Y
rdiv	Y	See add; Omnisci: D
rdivmod	Y
real	D
reindex	Y
reindex_like	Y
rename	Y
rename_axis	Y
reorder_levels	D
repeat	D
replace	Y
resample	Y
reset_index	Y	Omnisci: P. D for level parameter
rfloordiv	Y	See add; Omnisci: D
rmod	Y	See add; Omnisci: D
rmul	Y	See add
rolling	Y
round	Y
rpow	Y	See add; Omnisci: D
rsub	Y	See add; Omnisci: D
rtruediv	Y	See add; Omnisci: D
sample	Y
searchsorted	Y
sem	P	Modin defaults to pandas if given the level param.
set_axis	Y
set_value	D
shape	Y	Omnisci: Y
shift	Y
size	Y
skew	P	Modin defaults to pandas if given the level param.
slice_shift	Y
sort_index	Y
sort_values	D	Omnisci: Y
sparse	Y
squeeze	Y
std	P	Modin defaults to pandas if given the level param.
str	Y
strides	D
sub	Y	See add
subtract	Y	See add; Omnisci: D
sum	Y	Omnisci: P, only default params supported, otherwise D
swapaxes	Y
swaplevel	Y
tail	Y
take	Y
to_clipboard	D
to_csv	D
to_dict	D
to_excel	D
to_frame	Y
to_hdf	D
to_json	D
to_latex	D
to_list	D
to_numpy	D
to_period	D
to_pickle	D
to_sql	Y
to_string	D
to_timestamp	D
to_xarray	D
tolist	D
transform	Y
transpose	Y
truediv	Y	See add
truncate	Y
tshift	Y
tz_convert	Y
tz_localize	Y
unique	Y
unstack	Y
update	Y
valid	D
value_counts	Y	The indices order of resulting object may differ from pandas. Omnisci: Y except dropna param support
values	Y
var	P	Modin defaults to pandas if given the level param.
view	D
where	Y