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Getting Started
Installation
Getting started
Using datatable
User Guide
Name mangling
f
-expressions
Fread Examples
Selecting Data
Grouping with
by()
Row Functions
Comparison with pandas
Comparison with R’s data.table
Comparison with SQL
Dates and time
FTRL Model
API Reference
exceptions.
DtException
DtWarning
ImportError
InvalidOperationError
IndexError
IOError
IOWarning
KeyError
MemoryError
NotImplementedError
OverflowError
TypeError
ValueError
internal.
frame_column_data_r()
frame_columns_virtual()
frame_integrity_check()
get_thread_ids()
math.
abs()
arccos()
arcosh()
arcsin()
arctan()
arsinh()
artanh()
atan2()
cbrt()
ceil()
copysign()
cos()
cosh()
deg2rad()
e
erf(x)
erfc(x)
exp(x)
exp2(x)
expm1(x)
fabs()
floor()
fmod()
gamma()
golden
hypot()
inf
isclose()
isfinite()
isinf()
isna()
ldexp()
lgamma()
log()
log10()
log1p()
log2()
logaddexp()
logaddexp2()
nan
pi
pow()
rad2deg()
rint()
round()
sign()
signbit()
sin()
sinh()
sqrt()
square()
tan()
tanh()
tau
trunc()
models.
Ftrl
.__init__()
.alpha
.beta
.colnames
.colname_hashes
.double_precision
.feature_importances
.fit()
.interactions
.labels
.lambda1
.lambda2
.model
.model_type
.model_type_trained
.mantissa_nbits
.nbins
.negative_class
.nepochs
.params
.predict()
.reset()
LinearModel
.__init__()
.eta0
.eta_decay
.eta_drop_rate
.eta_schedule
.double_precision
.fit()
.is_fitted()
.labels
.lambda1
.lambda2
.model
.model_type
.negative_class
.nepochs
.params
.predict()
.reset()
.seed
aggregate()
kfold()
kfold_random()
options.
debug
arg_max_size
enabled
logger
report_args
display
allow_unicode
head_nrows
interactive
max_column_width
max_nrows
tail_nrows
use_colors
frame
names_auto_index
names_auto_prefix
fread
log
anonymize
escape_unicode
progress
allow_interruption
callback
clear_on_success
enabled
min_duration
updates_per_second
nthreads
re.
match()
str.
len()
slice()
split_into_nhot()
time.
day()
day_of_week()
hour()
minute()
month()
nanosecond()
second()
year()
ymd()
ymdt()
FExpr
.__add__()
.__and__()
.__bool__()
.__eq__()
.__floordiv__()
.__ge__()
.__getitem__()
.__gt__()
.__init__()
.__invert__()
.__le__()
.__lshift__()
.__lt__()
.__mod__()
.__mul__()
.__ne__()
.__neg__()
.__or__()
.__pos__()
.__pow__()
.__repr__()
.__rshift__()
.__sub__()
.__truediv__()
.__xor__()
.count()
.extend()
.first()
.last()
.len()
.max()
.mean()
.median()
.min()
.re_match()
.remove()
.rowall()
.rowany()
.rowcount()
.rowfirst()
.rowlast()
.rowmax()
.rowmean()
.rowmin()
.rowsd()
.rowsum()
.sd()
.shift()
.sum()
Frame
.__init__()
.__copy__()
.__delitem__()
.__getitem__()
.__getstate__()
.__iter__()
.__len__()
.__repr__()
.__reversed__()
.__setitem__()
.__sizeof__()
.__str__()
.cbind()
.colindex()
.copy()
.countna()
.countna()
.export_names()
.head()
.key
.keys()
.kurt()
.kurt1()
.ltypes
.materialize()
.max()
.max1()
.mean()
.mean1()
.meta
.min()
.min1()
.mode()
.mode1()
.names
.ncols
.nmodal()
.nmodal1()
.nrows
.nunique()
.nunique1()
.rbind()
.replace()
.sd()
.sd1()
.skew()
.skew1()
.shape
.sort()
.source
.stype
.stypes
.sum()
.sum1()
.tail()
.to_arrow()
.to_csv()
.to_dict()
.to_jay()
.to_list()
.to_numpy()
.to_pandas()
.to_tuples()
.type
.types
.view()
ltype
.__new__()
.stypes
Namespace
.__getitem__()
.__getattribute__()
stype
.__call__()
.__new__()
.ctype
.dtype
.ltype
.max
.min
.struct
Type
⭑ bool8
⭑ date32
⭑ float32
⭑ float64
⭑ int8
⭑ int16
⭑ int32
⭑ int64
⭑ obj64
⭑ str32
⭑ str64
⭑ time64
⭑ void
max
min
name
as_type()
build_info
by()
cbind()
corr()
count()
cov()
cut()
dt
f
first()
fread()
g
ifelse()
init_styles()
intersect()
iread()
join()
last()
max()
mean()
median()
min()
qcut()
rbind()
repeat()
rowall()
rowany()
rowcount()
rowfirst()
rowlast()
rowmax()
rowmean()
rowmin()
rowsd()
rowsum()
sd()
setdiff()
shift()
sort()
split_into_nhot()
sum()
symdiff()
union()
unique()
update()
Development
Contributing
Contributing documentation
Creating a new FExpr
Test page
Release History
Version 1.0.0
Version 0.11.1
Version 0.11.0
Version 0.10.1
Version 0.10.0
Version 0.9.0
Version 0.8.0
Version 0.7.0
Version 0.6.0
Version 0.5.0
Version 0.4.0
Version 0.3.2
Version 0.3.1
Version 0.3.0
Version 0.2.2
Version 0.2.1
Contributors
datatable.re
¶
match()
Search for a regular expression within a column.
The content on this page is licensed under the
Creative Commons Attribution 4.0 License
(CC BY 4.0)
, and code samples are licensed under the
MIT License
.
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