From 78f313acaa38daac4b13c10763424174c7ab20ec Mon Sep 17 00:00:00 2001
From: qwerzjy <14648727+qwerzjy@user.noreply.gitee.com>
Date: Fri, 5 Jul 2024 19:59:39 +0800
Subject: [PATCH] 123

---
 .../__pycache__/datas.cpython-312.pyc         | Bin 0 -> 2076 bytes
 7.5-homework/datas.py                         | 150 ++++++++++++++++++
 7.5-homework/predict.py                       |  18 +++
 3 files changed, 168 insertions(+)
 create mode 100644 7.5-homework/__pycache__/datas.cpython-312.pyc
 create mode 100644 7.5-homework/datas.py
 create mode 100644 7.5-homework/predict.py

diff --git a/7.5-homework/__pycache__/datas.cpython-312.pyc b/7.5-homework/__pycache__/datas.cpython-312.pyc
new file mode 100644
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diff --git a/7.5-homework/datas.py b/7.5-homework/datas.py
new file mode 100644
index 0000000..653a5c9
--- /dev/null
+++ b/7.5-homework/datas.py
@@ -0,0 +1,150 @@
+# 模拟太原和吕梁的房价
+# 城市x1    面积x2   户型x3   是否学区房x4  (1  2)   装修的风格x5  (1 2)
+datas = [
+    {
+        "city": "吕梁",
+        "area": 100,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 8000,
+    },{
+        "city": "吕梁",
+        "area": 120,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 8300,
+    },
+    {
+        "city": "吕梁",
+        "area": 130,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 8600,
+    },
+    {
+        "city": "吕梁",
+        "area": 140,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9000,
+    },
+    {
+        "city": "吕梁",
+        "area": 150,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9300,
+    },
+    {
+        "city": "吕梁",
+        "area": 160,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9500,
+    },
+    {
+        "city": "吕梁",
+        "area": 170,
+        "rooms": 4,
+        "school": 3,
+        "style": 2,
+        "price": 9500,
+    },
+    {
+        "city": "吕梁",
+        "area": 180,
+        "rooms": 4,
+        "school": 4,
+        "style": 3,
+        "price": 9600,
+    },
+    {
+        "city": "吕梁",
+        "area": 190,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9400,
+    },
+    {
+        "city": "太原",
+        "area": 210,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9200,
+    },
+    {
+        "city": "太原",
+        "area": 200,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9100,
+    },
+    {
+        "city": "太原",
+        "area": 190,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9000,
+    },
+    {
+        "city": "吕梁",
+        "area": 180,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 8900,
+    },
+    {
+        "city": "太原",
+        "area": 170,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 8800,
+    },
+    {
+        "city": "太原",
+        "area": 160,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 8700,
+    },
+]
+
+
+import numpy as np
+from datas import datas
+X=[]
+Y=[]
+cityMark={"吕梁":1,"太原":2}
+for item in datas:
+    single=[]
+
+single.append(cityMark[item["city"]])
+single.append(item["rooms"])
+single.append(item["school"])
+single.append(item["style"])
+single.append(item["area"])
+X.append(single)
+Y.append(item["price"])
+
+X=np.array(X)
+Y=np.array(Y)
+
+theta=np.linalg.pinv(X.T.dot(X)).dot(Y)
+
+
+print(theta)
+
+print(theta.dot(np.array([2,100,2,1,1])))
diff --git a/7.5-homework/predict.py b/7.5-homework/predict.py
new file mode 100644
index 0000000..67c19c6
--- /dev/null
+++ b/7.5-homework/predict.py
@@ -0,0 +1,18 @@
+# 1.先安装一个  科学计算的框架
+# import numpy as np
+#a=np.array([[1,2,3,4,5],[1,2,3,4,5],[1,2,3,4,5]])
+#b=np.array([1,2,3,4,5])
+#求点乘
+#print(a.dot(b))
+#print(a)
+# 奇异矩阵 print(np.linalg.inv(a))
+# 排除掉奇异矩阵求幂
+#print(np.linalg.pinv(a))
+import numpy as np
+a=np.array([[3,2,3],[3,2,3],[3,2,3]])
+b=np.array([1,2,3])
+
+
+print(a.T)
+print(a.dot(b))
+print(np.linalg.pinv(a))
-- 
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