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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.

Series method

Modin Implementation? (Y/N/P/D)

Notes for Current implementation

abs

Y

add

Y

add_prefix

Y

add_suffix

Y

agg

Y

aggregate

Y

align

D

all

Y

any

Y

apply

Y

argmax

Y

argmin

Y

argsort

D

array

D

asfreq

D

asobject

D

asof

Y

astype

Y

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

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

drop_duplicates

Y

droplevel

Y

dropna

Y

dt

Y

dtype

Y

dtypes

Y

duplicated

Y

empty

Y

eq

Y

See add

equals

Y

ewm

D

expanding

D

explode

Y

factorize

D

ffill

Y

fillna

Y

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

gt

Y

See add

hasnans

Y

head

Y

hist

D

iat

Y

idxmax

Y

idxmin

Y

iloc

Y

imag

D

index

Y

infer_objects

Y

interpolate

D

is_monotonic_decreasing

Y

is_monotonic_increasing

Y

is_unique

Y

isin

Y

isna

Y

isnull

Y

item

Y

items

Y

itemsize

D

keys

Y

kurt

Y

kurtosis

Y

last

Y

last_valid_index

Y

le

Y

See add

loc

Y

lt

Y

See add

map

Y

mask

D

max

Y

mean

P

Modin defaults to pandas if given the level param.

median

P

Modin defaults to pandas if given the level param.

memory_usage

Y

min

Y

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

pct_change

D

pipe

Y

plot

D

pop

Y

pow

Y

See add

prod

Y

product

Y

ptp

D

put

D

quantile

Y

radd

Y

See add

rank

Y

ravel

Y

rdiv

Y

See add

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

P

Ray and Dask: D when names or allow_duplicates is non-default

rfloordiv

Y

See add

rmod

Y

See add

rmul

Y

See add

rolling

Y

round

Y

rpow

Y

See add

rsub

Y

See add

rtruediv

Y

See add

sample

Y

searchsorted

Y

sem

P

Modin defaults to pandas if given the level param.

set_axis

Y

set_value

D

shape

Y

shift

Y

size

Y

skew

P

Modin defaults to pandas if given the level param.

sort_index

Y

sort_values

Y

Order of indexes that have the same sort key is not guaranteed to be the same across sorts;

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;

sum

Y

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

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.

values

Y

var

P

Modin defaults to pandas if given the level param.

view

D

where

Y
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