参考资料：
https://github.com/lijin-THU/notes-python（相应实体书为：《自学Python——编程基础、科学计算及数据分析》）
Numpy通用函数汇总
import numpy as np
1. 三角函数
sin(x)-
cos(x) -
tan(x) -
sinh(x) -
conh(x) -
tanh(x) -
arccos(x) -
arctan(x) -
arcsin(x) -
arccosh(x) -
arctanh(x) -
arcsinh(x) -
arctan2(x,y) //返回arctan(x/y)
2. 向量操作
dot(x,y)-
inner(x,y) -
cross(x,y) -
vdot(x,y) -
outer(x,y) -
kron(x,y) -
tensordot(x,y[,axis])
3. 其他操作
exp(x)-
log(x) -
log10(x) -
sqrt(x) -
absolute(x) -
conjugate(x) -
negative(x) -
ceil(x) -
floor(x) -
fabs(x) -
hypot(x) //返回对应点(x,y)到原点的距离 -
fmod(x) -
maximum(x,y) -
minimum(x,y)
1 x = np.array([1,2,3]) 2 y = np.array([4,5,6]) 3 np.hypot(x,y) #array([ 4.12310563, 5.38516481, 6.70820393])
4. 类型处理
iscomplexobj-
iscomplex -
isrealobj -
isreal -
imag -
real -
real_if_close -
isscalar -
isneginf //-np.inf 负无穷 -
isposinf -
isinf //检查是否为无穷 np.inf 正无穷 -
isfinite -
isnan //0/0会得到nan，非0值除以0会得到无穷 np.nan 非法值 -
nan_to_num -
common_type -
typename
注：nan 与任何数进行比较都是 False，想要找出 nan 值需要使用 isnan()
5. 修改形状
atleast_1d-
atleast_2d -
atleast_3d -
expand_dims -
apply_over_axes -
apply_along_axis -
hstack -
vstack -
dstack -
column_stack -
hsplit -
vsplit -
dsplit -
split -
squeeze
6. 其他有用函数
fix-
mod -
amax -
amin -
ptp -
sum -
cumsum -
prod -
cumprod -
diff -
angle
-
unwrap -
sort_complex -
trim_zeros -
fliplr -
flipud -
rot90 -
diag -
eye -
select -
extract -
insert
-
roots -
poly -
any -
all -
disp -
unique -
nansum -
nanmax -
nanargmax -
nanargmin -
nanmin
注：nan 开头的函数会进行相应的操作，但是忽略 nan 值