From 07873262c6477d2e60221c4a3b50f9e0c614890d Mon Sep 17 00:00:00 2001
From: lv-jingjing-hh <2974075373@qq.com>
Date: Fri, 5 Jul 2024 21:02:56 +0800
Subject: [PATCH] =?UTF-8?q?=E5=90=95=E6=99=B6=E6=99=B6=E7=9A=84=E4=BD=9C?=
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---
 0705/__pycache__/datas.cpython-311.pyc | Bin 0 -> 1198 bytes
 0705/datas.py                          | 152 +++++++++++++++++++++++++
 0705/predict.py                        |  23 ++++
 3 files changed, 175 insertions(+)
 create mode 100644 0705/__pycache__/datas.cpython-311.pyc
 create mode 100644 0705/datas.py
 create mode 100644 0705/predict.py

diff --git a/0705/__pycache__/datas.cpython-311.pyc b/0705/__pycache__/datas.cpython-311.pyc
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diff --git a/0705/datas.py b/0705/datas.py
new file mode 100644
index 0000000..84518ab
--- /dev/null
+++ b/0705/datas.py
@@ -0,0 +1,152 @@
+datas=[
+    # 模拟的吕梁的第一类房子
+    {
+        "city":"吕梁",
+        "area":130,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8000
+    },
+    {
+        "city": "吕梁",
+        "area": 135,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 7800
+    },
+    {
+        "city": "吕梁",
+        "area": 140,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 8200
+    },
+    # 模拟的吕梁的第二类房子
+    {
+        "city": "吕梁",
+        "area": 120,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8500
+    },
+    {
+        "city": "吕梁",
+        "area": 100,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8300
+    },
+    {
+        "city": "吕梁",
+        "area": 140,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8600
+    },
+    # 模拟的吕梁的第三类房子
+    {
+        "city": "吕梁",
+        "area": 130,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 6500
+    },
+    {
+        "city": "吕梁",
+        "area": 135,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 6300
+    },
+    {
+        "city": "吕梁",
+        "area": 140,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 6800
+    },
+    # 模拟的太原的第一类房子
+    {
+        "city": "太原",
+        "area": 100,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9800
+    },
+    {
+        "city": "太原",
+        "area": 135,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9200
+    },
+    {
+        "city": "太原",
+        "area": 140,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9800
+    },
+# 模拟的太原的第二类房子
+    {
+        "city": "太原",
+        "area": 100,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 1300
+    },
+    {
+        "city": "太原",
+        "area": 135,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 1600
+    },
+    {
+        "city": "太原",
+        "area": 140,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9400
+    },
+# 模拟的太原的第三类房子
+    {
+        "city": "太原",
+        "area": 100,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 10000
+    },
+    {
+        "city": "太原",
+        "area": 140,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 11200
+    },
+    {
+        "city": "太原",
+        "area": 145,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 12800
+    },
+]
\ No newline at end of file
diff --git a/0705/predict.py b/0705/predict.py
new file mode 100644
index 0000000..58f9b26
--- /dev/null
+++ b/0705/predict.py
@@ -0,0 +1,23 @@
+# 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"]])
+    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([2,130,2,1,1])))
+
+
+    print(item)
\ No newline at end of file
-- 
Gitee