Search notes:
numpy.ndarray
numpy.ndarray is a class that represents a multidimensional array of items of the same data type.
ndarrays should be created with numpy.array(…), numpy.zeros(…) or numpy.empty(…).
Members of an ndarray object
all() | |
any() | |
argmax() | |
argmin() | |
argpartition() | |
argsort() | |
astype() | |
base | NoneType object (?) |
byteswap() | |
choose() | |
clip() | |
compress() | |
conj() | |
conjugate() | |
copy() | |
ctypes | ? |
cumprod() | |
cumsum() | |
data | memoryview object |
diagonal() | |
dot() | |
dtype | ? |
dump() | |
dumps() | |
fill() | |
flags | ? |
flat | ? |
flatten() | |
getfield() | |
imag | ? |
item() | |
itemset() | |
itemsize | int object |
max() | |
mean() | |
min() | |
nbytes | int object |
ndim | int object |
newbyteorder() | |
nonzero() | |
partition() | |
prod() | |
ptp() | |
put() | |
ravel() | |
real | ? |
repeat() | |
reshape() | |
resize() | |
round() | |
searchsorted() | |
setfield() | |
setflags() | |
shape | A tuple object that describes the dimensions of the object. |
size | int object |
sort() | |
squeeze() | |
std() | |
strides | tuple object |
sum() | |
swapaxes() | |
T | ? |
take() | |
tobytes() | |
tofile() | |
tolist() | |
tostring() | |
trace() | |
transpose() | |
var() | |
view() | |