From 47724f377e9e6a4ffe7fe35d1edfde5c438aa931 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E8=8C=83=E5=BA=AD=E5=AE=8F?=
 <14647641+fan-tinghong@user.noreply.gitee.com>
Date: Fri, 5 Jul 2024 19:08:09 +0800
Subject: [PATCH] 7.5

---
 7.5/__pycache__/datas.cpython-312.pyc | Bin 0 -> 727 bytes
 7.5/datas.py                          | 105 ++++++++++++++++++++++++++
 7.5/predict.py                        |  36 +++++++++
 3 files changed, 141 insertions(+)
 create mode 100644 7.5/__pycache__/datas.cpython-312.pyc
 create mode 100644 7.5/datas.py
 create mode 100644 7.5/predict.py

diff --git a/7.5/__pycache__/datas.cpython-312.pyc b/7.5/__pycache__/datas.cpython-312.pyc
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diff --git a/7.5/datas.py b/7.5/datas.py
new file mode 100644
index 0000000..5ee55f8
--- /dev/null
+++ b/7.5/datas.py
@@ -0,0 +1,105 @@
+#  怎么模拟  城市  面积  户型   学区房  装修风格
+datas=[
+    {
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+    {
+         "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+    {
+         "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+    {
+         "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+    {
+         "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+#模拟第二类
+    {
+         "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+#第三类
+{
+         "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+{
+         "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+#太原
+
+    {
+        "city": "太原",
+        "area": 100,
+        "rooms": 2,
+        "school": 1,
+        "style": 2,
+        "price": 8000
+    },
+{
+    "city": "太原",
+    "area": 100,
+    "rooms": 2,
+    "school": 1,
+    "style": 2,
+    "price": 8000
+    },
+{
+         "city":"太原",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+    {
+         "city":"太原",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":8000
+    },
+
+
+]
diff --git a/7.5/predict.py b/7.5/predict.py
new file mode 100644
index 0000000..b721fc0
--- /dev/null
+++ b/7.5/predict.py
@@ -0,0 +1,36 @@
+#  1.先安装一个 科学计算的框架  pip install numpy
+import numpy as np
+#a=np.array([[3,2,3],[3,2,3],[3,2,3]])
+#b=np.array([1,2,3])
+#print(a.dot(b))           #点乘
+# 奇异矩阵
+#print(np.linalg.pinv(a))   #求逆
+#print(a.T)                 #转置
+
+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["area"])
+        single.append(item["rooms"])
+        single.append(item["school"])
+        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.dot(np.array([3, 100, 2, 1, 1])))
+    # print(theta)
+
+
+
+
+
+
-- 
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