diff --git a/7.5/datas.py b/7.5/datas.py new file mode 100644 index 0000000000000000000000000000000000000000..fc6fddde8d6ab1b7d43d35cdb956f1ada853b0a0 --- /dev/null +++ b/7.5/datas.py @@ -0,0 +1,153 @@ +datas=[ + #模拟第一类房子 +{ + "city":"吕梁", + "area":100, + "room":2, + "school":1, + "style":1, + "price":8000 +}, +{ + "city":"吕梁", + "area":100, + "room":2, + "school":1, + "style":1, + "price":7800 +}, +{ + "city":"吕梁", + "area":100, + "room":2, + "school":1, + "style":1, + "price":8200 + }, + #模拟第二类房子 + { + "city":"吕梁", + "area":100, + "room":2, + "school":1, + "style":1, + "price":8500 + }, + { + "city":"吕梁", + "area":100, + "room":2, + "school":1, + "style":1, + "price":8300 + }, + { + "city":"吕梁", + "area":100, + "room":2, + "school":1, + "style":1, + "price":8600 + }, + #模拟第三类房子 + { + "city":"吕梁", + "area":100, + "room":2, + "school":1, + "style":1, + "price":6300 + }, + { + "city":"吕梁", + "area":100, + "room":2, + "school":1, + "style":1, + "price":6200 + }, + { + "city":"吕梁", + "area":100, + "room":2, + "school":1, + "style":1, + "price":6000 + }, +#模拟第一类房子 +{ + "city":"太原", + "area":100, + "room":2, + "school":1, + "style":1, + "price":12100 +}, +{ + "city":"太原", + "area":100, + "room":2, + "school":1, + "style":1, + "price":11800 +}, +{ + "city":"太原", + "area":100, + "room":2, + "school":1, + "style":1, + "price":11600 + }, + #模拟第二类房子 + { + "city":"太原", + "area":100, + "room":2, + "school":1, + "style":1, + "price":10900 + }, + { + "city":"太原", + "area":100, + "room":2, + "school":1, + "style":1, + "price":10800 + }, + { + "city":"太原", + "area":100, + "room":2, + "school":1, + "style":1, + "price":10000 + }, + #模拟第三类房子 + { + "city":"太原", + "area":100, + "room":2, + "school":1, + "style":1, + "price":9000 + }, + { + "city":"太原", + "area":100, + "room":2, + "school":1, + "style":1, + "price":8600 + }, + { + "city":"太原", + "area":100, + "room":2, + "school":1, + "style":1, + "price":8300 + }, + + ] \ No newline at end of file diff --git a/7.5/predict.py b/7.5/predict.py new file mode 100644 index 0000000000000000000000000000000000000000..e4f2f3671fd125c95c2991e0d73eb3053976c953 --- /dev/null +++ b/7.5/predict.py @@ -0,0 +1,33 @@ +#1.先安装一个科学计算的框架 +import numpy as np +from datas import datas +X=[] +Y=[] +cityMark={"吕梁":1,"太原":2} +for item in datas: + single=[] + #城市 + single.append(cityMark[item["city"]]) + #面积 + single.append(item["area"]) + #rooms + single.append(item["rooms"]) + #school + single.append(item["school"]) + #style + single.append(item["style"]) + X.append(single) + Y.append(item["price"]) + +X = np.array(X) +Y = np.array(Y) +theta = np.linalg.pinv(X.T.dot(X)).dot(X.T).dot(Y) +print(theta) + +# a=np.array([[1,2,3],[1,2,3],[1,2,3]]) +# b=np.array([1,2,3]) +# print(a.dot(b)) +# +# print(a) +# print(np.linalg.inv(a)) +