List of NumPy Functions in Python: 4 Steps

NumPy has many functions that allow you to create a NumPy array and manipulate the arrays. Do you want to know all the functions that come with the Numpy package? If yes then in this post you will know all the list of NumPy functions in python with steps.

Steps to find the List of Numpy function in Python

Certainly! To get a list of NumPy functions in Python, you can follow these steps:

Step 1: Import NumPy module

Start by importing the NumPy library. It’s conventional to use the alias np. Import it using the import statement.

import numpy as np

Step 2: Use dir() to Get Attributes

Use the dir() function to get a list of all attributes (including functions) of the NumPy module.

numpy_attributes = dir(np)

Step 3: Filter for Functions

Now you have to filter the list for getting the functions only. Filter the list to include only callable objects (functions and methods). You can use a list comprehension for this.

numpy_functions = [func for func in numpy_attributes if callable(getattr(np, func))]

Step 4: Print or display the list

You can now print the list of NumPy functions or use it in any other way you need.

for func in numpy_functions:
    print(func)

You can also save the list to a file in order to analyze and use it whenever it is required.

Full Code

import numpy as np

# Get all attributes of the numpy module
numpy_attributes = dir(np)

# Filter for functions/methods
numpy_functions = [func for func in numpy_attributes if callable(getattr(np, func))]

# Print the list of numpy functions
for func in numpy_functions:
    print(func)

Output

DataSource
RankWarning
_CopyMode
__dir__
__getattr__
_add_newdoc_ufunc
_get_promotion_state
_no_nep50_warning
_pyinstaller_hooks_dir
_set_promotion_state
_using_numpy2_behavior
abs
absolute
add
add_docstring
add_newdoc
add_newdoc_ufunc
all
allclose
alltrue
amax
amin
angle
any
append
apply_along_axis
apply_over_axes
arange
arccos
arccosh
arcsin
arcsinh
arctan
arctan2
arctanh
argmax
argmin
argpartition
argsort
argwhere
around
array
array2string
array_equal
array_equiv
array_repr
array_split
array_str
asanyarray
asarray
asarray_chkfinite
ascontiguousarray
asfarray
asfortranarray
asmatrix
atleast_1d
atleast_2d
atleast_3d
average
bartlett
base_repr
binary_repr
bincount
bitwise_and
bitwise_not
bitwise_or
bitwise_xor
blackman
block
bmat
bool_
broadcast
broadcast_arrays
broadcast_shapes
broadcast_to
busday_count
busday_offset
busdaycalendar
byte
byte_bounds
bytes_
can_cast
cbrt
cdouble
ceil
cfloat
character
chararray
choose
clip
clongdouble
clongfloat
column_stack
common_type
compare_chararrays
complex128
complex256
complex64
complex_
complexfloating
compress
concatenate
conj
conjugate
convolve
copy
copysign
copyto
corrcoef
correlate
cos
cosh
count_nonzero
cov
cross
csingle
cumprod
cumproduct
cumsum
datetime64
datetime_as_string
datetime_data
deg2rad
degrees
delete
deprecate
deprecate_with_doc
diag
diag_indices
diag_indices_from
diagflatdiagonal
diff
digitize
disp
divide
divmod
dot
double
dsplit
dstack
dtype
ediff1d
einsum
einsum_path
empty
empty_like
equal
errstate
exp
exp2
expand_dims
expm1
extract
eye
fabs
fastCopyAndTranspose
fill_diagonal
find_common_type
finfo
fix
flatiter
flatnonzero
flexible
flip
fliplr
flipud
float128
float16
float32
float64
float_
float_power
floating
floor
floor_divide
fmax
fmin
fmod
format_float_positional
format_float_scientific
format_parser
frexp
from_dlpack
frombuffer
fromfile
fromfunction
fromiter
frompyfunc
fromregex
fromstring
full
full_like
gcd
generic
genfromtxt
geomspace
get_array_wrap
get_include
get_printoptions
getbufsize
geterr
geterrcall
geterrobj
gradient
greater
greater_equal
half
hamming
hanning
heaviside
histogram
histogram2d
histogram_bin_edges
histogramdd
hsplit
hstack
hypot
i0
identity
iinfo
imag
in1d
indices
inexact
info
inner
insert
int16
int32
int64
int8
int_
intc
integer
interp
intersect1d
intp
invert
is_busday
isclose
iscomplex
iscomplexobj
isfinite
isfortran
isin
isinf
isnan
isnat
isneginf
isposinf
isreal
isrealobj
isscalar
issctype
issubclass_
issubdtype
issubsctype
iterable
ix_
kaiser
kron
lcm
ldexp
left_shift
less
less_equal
lexsort
linspace
load
loadtxt
log
log10
log1p
log2
logaddexp
logaddexp2
logical_and
logical_not
logical_or
logical_xor
logspace
longcomplex
longdouble
longfloat
longlong
lookfor
mask_indices
mat
matmul
matrix
max
maximum
maximum_sctype
may_share_memory
mean
median
memmap
meshgrid
min
min_scalar_type
minimum
mintypecode
mod
modf
moveaxis
msort
multiply
nan_to_num
nanargmax
nanargmin
nancumprod
nancumsum
nanmax
nanmean
nanmedian
nanmin
nanpercentile
nanprod
nanquantile
nanstdnansum
nanvar
ndarray
ndenumerate
ndim
ndindex
nditer
negative
nested_iters
nextafter
nonzero
not_equal
number
obj2sctype
object_
ones
ones_like
outer
packbits
pad
partition
percentile
piecewise
place
poly
poly1d
polyadd
polyder
polydiv
polyfit
polyint
polymul
polysub
polyval
positive
power
printoptions
prod
product
promote_types
ptp
put
put_along_axis
putmask
quantile
rad2deg
radians
ravel
ravel_multi_index
real
real_if_close
recarray
recfromcsv
recfromtxt
reciprocal
record
remainder
repeat
require
reshape
resize
result_type
right_shift
rint
roll
rollaxis
roots
rot90
round
round_
row_stack
safe_eval
save
savetxt
savez
savez_compressed
sctype2char
searchsorted
select
set_numeric_ops
set_printoptions
set_string_function
setbufsize
setdiff1d
seterr
seterrcall
seterrobjsetxor1d
shape
shares_memory
short
show_config
show_runtime
sign
signbit
signedinteger
sin
sinc
single
singlecomplex
sinh
size
sometrue
sort
sort_complex
source
spacing
split
sqrt
square
squeeze
stack
std
str_
string_
subtract
sum
swapaxes
take
take_along_axis
tan
tanh
tensordot
test
tile
timedelta64
trace
transpose
trapz
tri
tril
tril_indices
tril_indices_from
trim_zeros
triu
triu_indices
triu_indices_from
true_divide
trunc
typename
ubyte
ufunc
uint
uint16
uint32
uint64
uint8
uintc
uintp
ulonglong
unicode_
union1d
unique
unpackbits
unravel_index
unsignedinteger
unwrap
ushort
vander
var
vdot
vectorize
void
vsplit
vstack
where
who
zeros
zeros_like

Conclusion

Many coders don’t remember everything. The list of NumPy functions are one of them. Most used functions are always remembered but for the least one you have to use the dir() function. The above steps will allow you to find list of NumPy Functions in Python.