From 75c95eec1da7604ea057fab535e8c7d1a4058840 Mon Sep 17 00:00:00 2001
From: pliu7akgf <1073526908@qq.com>
Date: Tue, 2 Nov 2021 21:49:32 +0800
Subject: [PATCH] Update csv_plot.py

---
 csv_plot.py | 52 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 52 insertions(+)

diff --git a/csv_plot.py b/csv_plot.py
index 0544569..f800524 100644
--- a/csv_plot.py
+++ b/csv_plot.py
@@ -1,10 +1,62 @@
 import pandas as pd
 import matplotlib.pyplot as plt
+import seaborn as sns
 #将txt文件转换为csv文件
+data_train = pd.read_csv("train.csv")
 grandtruth = pd.read_csv("sample_submission.csv")
 pred = pd.read_csv("Predictions.csv")
 plt.scatter('Id','SalePrice')
 
+var = 'CentralAir'
+data = pd.concat([data_train['SalePrice'], data_train[var]], axis=1)
+fig = sns.boxplot(x=var, y="SalePrice", data=data)
+fig.axis(ymin=0, ymax=800000);
+
+# YearBuilt boxplot
+var = 'YearBuilt'
+data = pd.concat([data_train['SalePrice'], data_train[var]], axis=1)
+f, ax = plt.subplots(figsize=(26, 12))
+fig = sns.boxplot(x=var, y="SalePrice", data=data)
+fig.axis(ymin=0, ymax=800000);
+
+# YearBuilt  scatter
+var = 'YearBuilt'
+data = pd.concat([data_train['SalePrice'], data_train[var]], axis=1)
+data.plot.scatter(x=var, y="SalePrice", ylim=(0, 800000))
+
+# Neighborhood
+var = 'Neighborhood'
+data = pd.concat([data_train['SalePrice'], data_train[var]], axis=1)
+data.plot.scatter(x=var, y="SalePrice", ylim=(0, 800000))
+# f, ax = plt.subplots(figsize=(26, 12))
+# fig = sns.boxplot(x=var, y="SalePrice", data=data)
+# fig.axis(ymin=0, ymax=800000);
+
+#LotArea
+var  = 'LotArea'
+data = pd.concat([data_train['SalePrice'], data_train[var]], axis=1)
+data.plot.scatter(x=var, y='SalePrice', xlim=(0,20000),ylim=(0, 800000))
+
+#GrLivArea
+var  = 'GrLivArea'
+data = pd.concat([data_train['SalePrice'], data_train[var]], axis=1)
+data.plot.scatter(x=var, y='SalePrice', ylim=(0, 800000))
+
+#TotalBsmtBF
+var  = 'TotalBsmtSF'
+data = pd.concat([data_train['SalePrice'], data_train[var]], axis=1)
+data.plot.scatter(x=var, y='SalePrice', ylim=(0, 800000))
+
+#MiscVal
+var  = 'MiscVal'
+data = pd.concat([data_train['SalePrice'], data_train[var]], axis=1)
+data.plot.scatter(x=var, y='SalePrice', ylim=(0, 800000))
+
+#GaragArea
+var  = ['GarageArea', 'GarageCars']
+for index in range(2):
+    data = pd.concat([data_train['SalePrice'], data_train[var[index]]], axis=1)
+    data.plot.scatter(x=var[index], y='SalePrice', ylim=(0, 800000))
 #画出散点图
 plt.show()
 #将散点图显示出来