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 http://github.com/elastic/eland, 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.
Y
N
https://github.com/adgirish/kaggleScape/blob/master/results/annotResults.csv represents a prioritised list.
Method
Count
Notes
pd.read_csv
1422
y
pd.DataFrame
886
df.append
792
n
df.mean
783
df.head
df.drop
761
df.sum
755
df.to_csv
693
df.get
669
df.mode
653
df.astype
649
df.sub
637
pd.concat
582
df.apply
577
df.groupby
557
df.join
544
df.fillna
543
df.max
508
df.reset_index
434
pd.unique
433
df.le
405
df.count
399
pd.value_counts
397
df.sort_values
390
df.transform
387
df.merge
376
df.add
346
df.isnull
338
df.min
321
df.copy
314
df.replace
300
df.std
261
df.hist
246
df.filter
234
df.describe
220
df.ne
218
df.corr
217
df.median
df.items
212
pd.to_datetime
204
df.isin
203
df.dropna
195
pd.get_dummies
190
df.rename
185
df.info
180
df.set_index
166
df.keys
159
df.sample
155
df.agg
140
df.where
138
df.boxplot
134
df.clip
116
df.round
df.abs
101
df.stack
97
df.tail
94
df.update
92
df.iterrows
90
df.transpose
87
df.any
85
df.pipe
80
pd.eval
73
df.eval
pd.read_json
72
df.nunique
70
df.pivot
df.select
68
df.as_matrix
67
df.notnull
66
df.cumsum
df.prod
64
df.unstack
df.drop_duplicates
63
df.div
pd.crosstab
59
df.select_dtypes
57
df.pow
56
df.sort_index
df.product
52
df.isna
51
df.dot
46
pd.cut
45
df.bool
44
df.to_dict
df.diff
df.insert
df.pop
df.query
43
df.var
df.__init__
41
pd.to_numeric
39
df.squeeze
df.ge
37
df.quantile
df.reindex
df.rolling
35
pd.factorize
32
pd.melt
31
df.melt
df.rank
pd.read_table
30
pd.pivot_table
df.idxmax
pd.test
29
df.iteritems
df.shift
28
df.mul
pd.qcut
25
df.set_value
df.all
24
df.skew
df.aggregate
23
pd.match
22
df.nlargest
df.multiply
21
df.set_axis
19
df.eq
18
df.resample
pd.read_sql
17
df.duplicated
16
pd.date_range
df.interpolate
15
df.memory_usage
df.divide
14
df.cov
13
df.assign
12
df.subtract
pd.read_pickle
11
df.applymap
df.first
df.kurt
10
df.truncate
df.get_value
9
pd.read_hdf
df.to_html
pd.read_sql_query
df.take
8
df.to_pickle
7
df.itertuples
df.to_string
df.last
df.sem
pd.to_pickle
df.to_json
df.idxmin
df.xs
6
df.combine
pd.rolling_mean
df.to_period
df.convert_objects
5
df.mask
4
df.pct_change
df.add_prefix
pd.read_excel
pd.rolling_std
3
df.to_records
df.corrwith
df.swapaxes
df.__iter__
df.to_sql
pd.read_feather
df.to_feather
df.__len__
df.kurtosis
df.mod
2
df.to_sparse
df.get_values
df.__eq__
pd.bdate_range
df.get_dtype_counts
df.combine_first
df._get_numeric_data
df.nsmallest
pd.scatter_matrix
df.rename_axis
df.__setstate__
df.cumprod
df.__getstate__
df.equals
df.__getitem__
df.clip_upper
df.floordiv
df.to_excel
df.reindex_axis
1
pd.to_timedelta
df.ewm
df.tz_localize
df.tz_convert
df.to_hdf
df.lookup
pd.merge_ordered
df.swaplevel
df.first_valid_index
df.lt
df.add_suffix
pd.rolling_median
df.to_dense
df.mad
df.align
df.__copy__
pd.set_eng_float_format
DataFrame method
Eland Implementation? (Y/N/P/D)
Notes for Current implementation
T
abs
add
add_prefix
add_suffix
agg aggregate
agg
aggregate
align
all
any
append
apply
See agg
applymap
as_blocks
as_matrix
asfreq
asof
assign
astype
at
at_time
axes
between_time
bfill
blocks
bool
boxplot
clip
clip_lower
clip_upper
combine
combine_first
compound
consolidate
convert_objects
copy
corr
corrwith
count
cov
cummax
cummin
cumprod
cumsum
describe
diff
div
divide
dot
drop
drop_duplicates
dropna
dtypes
duplicated
empty
eq
equals
eval
ewm
expanding
ffill
fillna
filter
first
first_valid_index
floordiv
from_csv
from_dict
from_items
from_records
ftypes
ge
get
get_dtype_counts
get_ftype_counts
get_value
get_values
groupby
gt
head
hist
iat
idxmax
idxmin
iloc
infer_objects
info
insert
interpolate
is_copy
isin
isna
isnull
items
iteritems
iterrows
itertuples
ix
join
keys
kurt
kurtosis
last
last_valid_index
le
loc
lookup
lt
mad
mask
max
mean
median
melt
memory_usage
merge
min
mod
mode
mul
multiply
ndim
ne
nlargest
notna
notnull
nsmallest
nunique
pct_change
pipe
pivot
pivot_table
plot
pop
pow
prod
product
quantile
query
radd
rank
rdiv
reindex
reindex_axis
reindex_like
rename
rename_axis
reorder_levels
replace
resample
reset_index
rfloordiv
rmod
rmul
rolling
round
rpow
rsub
rtruediv
sample
select
select_dtypes
sem
set_axis
set_index
set_value
shape
shift
size
skew
slice_shift
sort_index
sort_values
sortlevel
squeeze
stack
std
style
sub
subtract
sum
swapaxes
swaplevel
tail
take
to_clipboard
to_csv
to_dense
to_dict
to_excel
to_feather
to_gbq
to_hdf
to_html
to_json
to_latex
to_msgpack
to_panel
to_parquet
to_period
to_pickle
to_records
to_sparse
to_sql
to_stata
to_string
Default sets max_rows=60
to_timestamp
to_xarray
transform
transpose
truediv
truncate
tshift
tz_convert
tz_localize
unstack
update
values
var
where
xs
Deprecated in pandas