From c5f5a391c355ee6e6d04165531463d29b098bf2b Mon Sep 17 00:00:00 2001
From: Ylt233 <1951833090@qq.com>
Date: Fri, 5 Jul 2024 21:15:43 +0800
Subject: [PATCH] =?UTF-8?q?=E4=BA=91=E7=8E=B2=E9=80=9A=E7=9A=84=E4=BD=9C?=
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---
 __pycache__/datas.cpython-312.pyc | Bin 0 -> 1078 bytes
 datas.py                          | 156 ++++++++++++++++++++++++++++++
 predict.py                        |  21 ++++
 3 files changed, 177 insertions(+)
 create mode 100644 __pycache__/datas.cpython-312.pyc
 create mode 100644 datas.py
 create mode 100644 predict.py

diff --git a/__pycache__/datas.cpython-312.pyc b/__pycache__/datas.cpython-312.pyc
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diff --git a/datas.py b/datas.py
new file mode 100644
index 0000000..a81be34
--- /dev/null
+++ b/datas.py
@@ -0,0 +1,156 @@
+#城市：吕梁1、太原2
+
+#(city-城市) (area-面积) (rooms-房间数) (school-学区) (style-风格)
+
+datas=[
+    #吕梁第一类
+    {
+        "city":"吕梁",
+        "area":90,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":4600,
+    },
+    {
+        "city":"吕梁",
+        "area":110,
+        "rooms":3,
+        "school":1,
+        "style":2,
+        "price":5900,
+    },
+    {
+        "city":"吕梁",
+        "area":130,
+        "rooms":3,
+        "school":3,
+        "style":1,
+        "price":6500,
+    },
+    #吕梁第二类
+    {
+        "city":"吕梁",
+        "area":110,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":6500,
+    },
+    {
+        "city":"吕梁",
+        "area":120,
+        "rooms":2,
+        "school":3,
+        "style":2,
+        "price":7600,
+    },
+    {
+        "city":"吕梁",
+        "area":115,
+        "rooms":2,
+        "school":3,
+        "style":2,
+        "price":8000,
+    },
+    #吕梁第三类
+    {
+        "city":"吕梁",
+        "area":140,
+        "rooms":3,
+        "school":2,
+        "style":2,
+        "price":8600,
+    },
+    {
+        "city":"吕梁",
+        "area":140,
+        "rooms":3,
+        "school":2,
+        "style":1,
+        "price":9000,
+    },
+    {
+        "city":"吕梁",
+        "area":140,
+        "rooms":3,
+        "school":1,
+        "style":3,
+        "price":9500,
+    },
+    # 太原第一类
+    {
+        "city": "太原",
+        "area": 110,
+        "rooms": 3,
+        "school": 1,
+        "style": 2,
+        "price": 9000,
+    },
+    {
+        "city": "太原",
+        "area": 120,
+        "rooms": 3,
+        "school": 1,
+        "style": 2,
+        "price": 9500,
+    },
+    {
+        "city": "太原",
+        "area": 120,
+        "rooms": 3,
+        "school": 2,
+        "style": 1,
+        "price": 9800,
+    },
+    # 太原第二类
+    {
+        "city": "太原",
+        "area": 130,
+        "rooms": 3,
+        "school": 2,
+        "style": 1,
+        "price": 10000,
+    },
+    {
+        "city": "太原",
+        "area": 135,
+        "rooms": 2,
+        "school": 1,
+        "style": 2,
+        "price": 11000,
+    },
+    {
+        "city": "太原",
+        "area": 130,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 12000,
+    },
+    # 太原第三类
+    {
+        "city": "太原",
+        "area": 120,
+        "rooms": 3,
+        "school": 2,
+        "style": 1,
+        "price": 11000,
+    },
+    {
+        "city": "太原",
+        "area": 125,
+        "rooms": 3,
+        "school": 3,
+        "style": 1,
+        "price": 12000,
+    },
+    {
+        "city": "太原",
+        "area": 120,
+        "rooms": 3,
+        "school": 3,
+        "style": 2,
+        "price": 12500,
+    }
+]
\ No newline at end of file
diff --git a/predict.py b/predict.py
new file mode 100644
index 0000000..ca6b246
--- /dev/null
+++ b/predict.py
@@ -0,0 +1,21 @@
+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["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([2,120,3,2,2])))
+
-- 
Gitee