Python library: numpy

linspace

import numpy

values = numpy.linspace(-1, 1, num=20, endpoint=True)
# <type 'numpy.ndarray'>

print type(values)
# <type 'numpy.ndarray'>

print values
# [-1.         -0.89473684 -0.78947368 -0.68421053 -0.57894737 -0.47368421
#  -0.36842105 -0.26315789 -0.15789474 -0.05263158  0.05263158  0.15789474
#   0.26315789  0.36842105  0.47368421  0.57894737  0.68421053  0.78947368
#   0.89473684  1.        ]

Github repository about-python, path: /libraries/numpy/linspace.py

mean

import numpy
import pandas

print numpy.mean( [ 10, 20, 30, 40, 1000] )
#  220.0


df = pandas.DataFrame(
      { 'col_1': pandas.Series( [  10 ,  20 ,  30 ,  40 ] ),
        'col_2': pandas.Series( ['foo','bar','baz','qux'] ),
        'col_3': pandas.Series( [  'X',  'Y',  'Z',  'Q'] )
      })

print numpy.mean(df.col_1)
# 25.0

Github repository about-python, path: /libraries/numpy/mean.py

average

import numpy

print numpy.average( [ 10, 20, 30, 40 ] )
#  25.0

Github repository about-python, path: /libraries/numpy/average.py

Members of numpy

`abs`	?
`absolute`	?
`add`	?
`add_docstring()`	Built-in function
`add_newdoc()`
`_add_newdoc_ufunc()`	Built-in function
`add_newdoc_ufunc()`	Built-in function
`all()`
`allclose()`	Compare `isclose()`
`ALLOW_THREADS`	`int` object
`alltrue()`
`amax()`
`amin()`
`angle()`
`any()`
`append()`
`apply_along_axis()`
`apply_over_axes()`
`arange()`	Built-in function
`arccos`	?
`arccosh`	?
`arcsin`	?
`arcsinh`	?
`arctan`	?
`arctan2`	?
`arctanh`	?
`argmax()`
`argmin()`
`argpartition()`
`argsort()`
`argwhere()`
`around()`
`array()`	Creates an `ndarray` object
`array2string()`
`array_equal()`
`array_equiv()`
`array_repr()`
`array_split()`
`array_str()`
`asanyarray()`	Built-in function
`asarray()`	Built-in function
`asarray_chkfinite()`
`ascontiguousarray()`	Built-in function
`asfarray()`
`asfortranarray()`	Built-in function
`asmatrix()`
`atleast_1d()`
`atleast_2d()`
`atleast_3d()`
`average()`
`AxisError`	`numpy.AxisError` class
`bartlett()`
`base_repr()`
`binary_repr()`
`bincount()`
`bitwise_and`	?
`bitwise_not`	?
`bitwise_or`	?
`bitwise_xor`	?
`blackman()`
`block()`
`bmat()`
`bool_`	`numpy.bool_` class
`broadcast`	`numpy.broadcast` class
`broadcast_arrays()`
`broadcast_shapes()`
`broadcast_to()`
`BUFSIZE`	`int` object
`busdaycalendar`	`numpy.busdaycalendar` class
`busday_count()`
`busday_offset()`
`byte`	`numpy.int8` class
`byte_bounds()`
`bytes_`	`numpy.bytes_` class
`c_`	?
`can_cast()`
`cast`	?
`cbrt`	?
`cdouble`	`numpy.complex128` class
`ceil`	?
`cfloat`	`numpy.complex128` class
`char`	Module
`character`	`numpy.character` class
`chararray`	`numpy.chararray` class
`choose()`
`CLIP`	`int` object
`clip()`
`clongdouble`	`numpy.complex256` class
`clongfloat`	`numpy.complex256` class
`column_stack()`
`common_type()`
`compare_chararrays()`	Built-in function
`compat`	Module
`complex_`	`numpy.complex128` class
`complex128`	`numpy.complex128` class
`complex256`	`numpy.complex256` class
`complex64`	`numpy.complex64` class
`complexfloating`	`numpy.complexfloating` class
`ComplexWarning`	`numpy.ComplexWarning` class
`compress()`
`concatenate()`
`conj`	?
`conjugate`	?
`convolve()`
`copy()`
`_CopyMode`	?
`copysign`	?
`copyto()`
`corrcoef()`
`correlate()`
`cos`	?
`cosh`	?
`count_nonzero()`
`cov()`
`cross()`
`csingle`	`numpy.complex64` class
`ctypeslib`	Module
`cumprod()`
`cumproduct()`
`cumsum()`
`DataSource`	`numpy.DataSource` class
`datetime64`	`numpy.datetime64` class
`datetime_as_string()`
`datetime_data()`	Built-in function
`deg2rad`	?
`degrees`	?
`delete()`
`deprecate()`
`deprecate_with_doc()`
`diag()`
`diagflat()`
`diag_indices()`
`diag_indices_from()`
`diagonal()`
`diff()`
`digitize()`
`disp()`
`_distributor_init`	Module
`divide`	?
`divmod`	?
`dot()`
`double`	`numpy.float64` class
`dsplit()`
`dstack()`
`dtype`	?
`e`	`float` object
`ediff1d()`
`einsum()`
`einsum_path()`
`emath`	Module
`empty()`	Creates an `ndarray` object.
`empty_like()`
`equal`	?
`ERR_CALL`	`int` object
`ERR_DEFAULT`	`int` object
`ERR_IGNORE`	`int` object
`ERR_LOG`	`int` object
`ERR_PRINT`	`int` object
`ERR_RAISE`	`int` object
`errstate`	`numpy.errstate` class
`ERR_WARN`	`int` object
`euler_gamma`	`float` object
`exp`	?
`exp2`	?
`expand_dims()`
`expm1`	?
`extract()`
`eye()`
`fabs`	?
`False_`	?
`fastCopyAndTranspose()`	Built-in function
`fft`	Module
`fill_diagonal()`
`_financial_names`	`list` object
`find_common_type()`
`finfo`	`numpy.finfo` class
`fix()`
`flatiter`	`numpy.flatiter` class
`flatnonzero()`
`flexible`	`numpy.flexible` class
`flip()`
`fliplr()`
`flipud()`
`float_`	`numpy.float64` class
`float128`	`numpy.float128` class
`float16`	`numpy.float16` class
`float32`	`numpy.float32` class
`float64`	`numpy.float64` class
`floating`	`numpy.floating` class
`FLOATING_POINT_SUPPORT`	`int` object
`float_power`	?
`floor`	?
`floor_divide`	?
`fmax`	?
`fmin`	?
`fmod`	?
`format_float_positional()`
`format_float_scientific()`
`format_parser`	`numpy.format_parser` class
`FPE_DIVIDEBYZERO`	`int` object
`FPE_INVALID`	`int` object
`FPE_OVERFLOW`	`int` object
`FPE_UNDERFLOW`	`int` object
`frexp`	?
`frombuffer()`	Built-in function
`from_dlpack()`	Built-in function
`fromfile()`	Built-in function
`fromfunction()`
`fromiter()`	Built-in function
`frompyfunc()`	Built-in function
`fromregex()`
`fromstring()`	Built-in function
`full()`
`full_like()`
`gcd`	?
`generic`	`numpy.generic` class
`genfromtxt()`
`geomspace()`
`get_array_wrap()`
`getbufsize()`
`geterr()`
`geterrcall()`
`geterrobj()`	Built-in function
`get_include()`
`get_printoptions()`
`_get_promotion_state()`	Built-in function
`_globals`	Module
`gradient()`
`greater`	?
`greater_equal`	?
`half`	`numpy.float16` class
`hamming()`
`hanning()`
`heaviside`	?
`histogram()`
`histogram2d()`
`histogram_bin_edges()`
`histogramdd()`
`hsplit()`
`hstack()`
`hypot`	?
`i0()`
`identity()`
`iinfo`	`numpy.iinfo` class
`imag()`
`in1d()`
`index_exp`	?
`indices()`
`inexact`	`numpy.inexact` class
`Inf`	`float` object
`inf`	`float` object
`Infinity`	`float` object
`info()`
`infty`	`float` object
`inner()`
`insert()`
`int_`	`numpy.int64` class
`int16`	`numpy.int16` class
`int32`	`numpy.int32` class
`int64`	`numpy.int64` class
`int8`	`numpy.int8` class
`intc`	`numpy.int32` class
`integer`	`numpy.integer` class
`interp()`
`intersect1d()`
`intp`	`numpy.int64` class
`invert`	?
`is_busday()`
`isclose()`	Compare `allclose()`
`iscomplex()`
`iscomplexobj()`
`isfinite`	?
`isfortran()`
`isin()`
`isinf`	?
`isnan`	?
`isnat`	?
`isneginf()`
`isposinf()`
`isreal()`
`isrealobj()`
`isscalar()`
`issctype()`
`issubclass_()`
`issubdtype()`
`issubsctype()`
`iterable()`
`ix_()`
`kaiser()`
`kernel_version`	`tuple` object
`kron()`
`lcm`	?
`ldexp`	?
`left_shift`	?
`less`	?
`less_equal`	?
`lexsort()`
`lib`	Module
`linalg`	Module
`linspace()`
`little_endian`	`bool` object
`load()`
`loadtxt()`
`log`	?
`log10`	?
`log1p`	?
`log2`	?
`logaddexp`	?
`logaddexp2`	?
`logical_and`	?
`logical_not`	?
`logical_or`	?
`logical_xor`	?
`logspace()`
`longcomplex`	`numpy.complex256` class
`longdouble`	`numpy.float128` class
`longfloat`	`numpy.float128` class
`longlong`	`numpy.longlong` class
`lookfor()`
`ma`	Module
`mask_indices()`
`_mat`	Module
`mat()`
`math`	Module
`matmul`	?
`matrix`	`numpy.matrix` class
`max()`
`MAXDIMS`	`int` object
`maximum`	?
`maximum_sctype()`
`MAY_SHARE_BOUNDS`	`int` object
`MAY_SHARE_EXACT`	`int` object
`may_share_memory()`
`mean()`
`median()`
`memmap`	`numpy.memmap` class
`meshgrid()`	useful to evaluate functions on a grid.
`mgrid`	?
`min()`
`minimum`	?
`min_scalar_type()`
`mintypecode()`
`mod`	?
`modf`	?
`ModuleDeprecationWarning`	`numpy.ModuleDeprecationWarning` class
`moveaxis()`
`msort()`
`multiply`	?
`NAN`	`float` object
`NaN`	`float` object
`nan`	`float` object
`nanargmax()`
`nanargmin()`
`nancumprod()`
`nancumsum()`
`nanmax()`
`nanmean()`
`nanmedian()`
`nanmin()`
`nanpercentile()`
`nanprod()`
`nanquantile()`
`nanstd()`
`nansum()`
`nan_to_num()`
`nanvar()`
`nbytes`	?
`ndarray`	A class that represents a multidimensional array of items of the same data type.
`ndenumerate`	`numpy.ndenumerate` class
`ndim()`
`ndindex`	`numpy.ndindex` class
`nditer`	`numpy.nditer` class
`negative`	?
`nested_iters()`	Built-in function
`newaxis`	`NoneType` object
`nextafter`	?
`NINF`	`float` object
`_no_nep50_warning()`
`nonzero()`
`not_equal`	?
`_NoValue`	?
`numarray`	`str` object
`number`	`numpy.number` class
`NZERO`	`float` object
`obj2sctype()`
`object_`	`numpy.object_` class
`ogrid`	?
`oldnumeric`	`str` object
`ones()`
`ones_like()`
`outer()`
`packbits()`
`pad()`
`partition()`
`percentile()`
`pi`	`float` object
`piecewise()`
`PINF`	`float` object
`place()`
`poly()`
`poly1d`	`numpy.poly1d` class
`polyadd()`
`polyder()`
`polydiv()`
`polyfit()`
`polyint()`
`polymul()`
`polynomial`	Module
`polysub()`
`polyval()`
`positive`	?
`power`	?
`printoptions()`
`prod()`
`product()`
`promote_types()`	Built-in function
`ptp()`
`put()`
`put_along_axis()`
`putmask()`
`_pyinstaller_hooks_dir()`
`_pytesttester`	Module
`PZERO`	`float` object
`quantile()`
`r_`	?
`rad2deg`	?
`radians`	?
`RAISE`	`int` object
`random`	Module
`RankWarning`	`numpy.RankWarning` class
`ravel()`
`ravel_multi_index()`
`real()`
`real_if_close()`
`rec`	Module
`recarray`	`numpy.recarray` class
`recfromcsv()`
`recfromtxt()`
`reciprocal`	?
`record`	`numpy.record` class
`remainder`	?
`repeat()`
`require()`
`reshape()`	Change an array's shape and reuse the array's data. Can also be used to reduce the dimensions of a dataframe.
`resize()`
`result_type()`
`right_shift`	?
`rint`	?
`roll()`
`rollaxis()`
`roots()`
`rot90()`
`round()`
`round_()`
`row_stack()`
`s_`	?
`safe_eval()`
`save()`
`savetxt()`
`savez()`
`savez_compressed()`
`ScalarType`	`tuple` object
`sctype2char()`
`sctypeDict`	`dict` object
`sctypes`	`dict` object
`searchsorted()`
`select()`
`setbufsize()`
`setdiff1d()`
`seterr()`
`seterrcall()`
`seterrobj()`	Built-in function
`set_numeric_ops()`	Built-in function
`set_printoptions()`
`_set_promotion_state()`	Built-in function
`set_string_function()`
`setxor1d()`
`shape()`
`shares_memory()`
`SHIFT_DIVIDEBYZERO`	`int` object
`SHIFT_INVALID`	`int` object
`SHIFT_OVERFLOW`	`int` object
`SHIFT_UNDERFLOW`	`int` object
`short`	`numpy.int16` class
`show_config()`
`show_runtime()`
`sign`	?
`signbit`	?
`signedinteger`	`numpy.signedinteger` class
`sin`	?
`sinc()`
`single`	`numpy.float32` class
`singlecomplex`	`numpy.complex64` class
`sinh`	?
`size()`
`sometrue()`
`sort()`
`sort_complex()`
`source()`
`spacing`	?
`split()`
`sqrt`	?
`square`	?
`squeeze()`
`stack()`
`std()`
`str_`	`numpy.str_` class
`string_`	`numpy.bytes_` class
`subtract`	?
`sum()`
`swapaxes()`
`take()`
`take_along_axis()`
`tan`	?
`tanh`	?
`tensordot()`
`test`	?
`Tester`	`numpy.testing._private.nosetester.NoseTester` class
`testing`	Module
`tile()`
`timedelta64`	`numpy.timedelta64` class
`TooHardError`	`numpy.TooHardError` class
`trace()`
`tracemalloc_domain`	`int` object
`transpose()`
`trapz()`
`tri()`
`tril()`
`tril_indices()`
`tril_indices_from()`
`trim_zeros()`
`triu()`
`triu_indices()`
`triu_indices_from()`
`True_`	?
`true_divide`	?
`trunc`	?
`typecodes`	`dict` object
`typename()`
`ubyte`	`numpy.uint8` class
`ufunc`	`numpy.ufunc` class
`_UFUNC_API`	`PyCapsule` object
`UFUNC_BUFSIZE_DEFAULT`	`int` object
`UFUNC_PYVALS_NAME`	`str` object
`uint`	`numpy.uint64` class
`uint16`	`numpy.uint16` class
`uint32`	`numpy.uint32` class
`uint64`	`numpy.uint64` class
`uint8`	`numpy.uint8` class
`uintc`	`numpy.uint32` class
`uintp`	`numpy.uint64` class
`ulonglong`	`numpy.ulonglong` class
`unicode_`	`numpy.str_` class
`union1d()`
`unique()`
`unpackbits()`
`unravel_index()`
`unsignedinteger`	`numpy.unsignedinteger` class
`unwrap()`
`use_hugepage`	`int` object
`ushort`	`numpy.uint16` class
`vander()`
`var()`
`vdot()`
`vectorize`	`numpy.vectorize` class
`_version`	Module
`version`	Module
`VisibleDeprecationWarning`	`numpy.VisibleDeprecationWarning` class
`void`	`numpy.void` class
`vsplit()`
`vstack()`
`where()`
`who()`
`WRAP`	`int` object
`zeros()`	Creates an `ndarray` whose elements are filled with zeros.
`zeros_like()`

Misc

Numpy indexes elements in the form (row, column), which is the convention of linear algebra.

Python library: numpy

linspace

mean

average

Members of numpy

Misc

See also