Lambda
目录
1. 普通函数嵌套
定义一个普通的python函数并嵌入Lambda，函数接收传入的一个参数x。然后将此参数添加到lambda函数提供的某个未知参数y中求和。只要我们使用new_func()，就会调用new_func中存在的lambda函数。每次，我们都可以将不同的值传递给参数。
def new_func(x)：
return(lambda y：x + y) #y 是待处理的参数
t = new_func(3)
u = new_func(2)
print(t(3))
print(u(3))
2. Lambda+filter
my_list = [2,3,4,5,6,7,8]
new_list = list(filter(lambda a:(a / 3 == 2),my_list))
print(new_list)
3. lambda+map
my_list = [2,3,4,5,6,7,8]
new_list = list(map(lambda a:(a / 3!= 2),li))
print(new_list)
4. lambda+reduce
from functools import reduce
reduce(lambda a,b: a+b,[23,21,45,98])
5. Lambda 函数参数
feature_fns = [hog_feature, lambda img: color_histogram_hsv(img, nbin=num_color_bins)]
X_train_feats = extract_features(X_train, feature_fns, verbose=True)
def extract_features(imgs, feature_fns, verbose=False):
for feature_fn in feature_fns:
feats = feature_fn(imgs[0].squeeze())
- 学习于：https://cloud.tencent.com/developer/article/1453528