From 74458dfe627ff0283103ccdf46dca73c4a5eb12f Mon Sep 17 00:00:00 2001
From: hnu202109060208 <hnu202109060208@qq.com>
Date: Sun, 4 Dec 2022 18:08:34 +0800
Subject: [PATCH] ADD file via upload

---
 最高最低价格复合对比图.py | 52 ++++++++++++++++++++++++++++
 1 file changed, 52 insertions(+)
 create mode 100644 最高最低价格复合对比图.py

diff --git a/最高最低价格复合对比图.py b/最高最低价格复合对比图.py
new file mode 100644
index 0000000..481a887
--- /dev/null
+++ b/最高最低价格复合对比图.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Dec  2 22:10:31 2022
+
+@author: DELL
+"""
+
+import datetime
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+with open('information.txt','r',encoding='utf-8') as fe:
+    info=fe.read()
+    lst=info.split(' ')
+    date1 = datetime.datetime.strptime(lst[2],"%Y-%m-%d")
+    date2 = date1 + datetime.timedelta(days=int(lst[3]))
+df = pd.read_csv("contentt.csv", encoding=('gb2312'),names=["date","flightNum",  "depTime", "arrTime", "price"])
+df.head()
+df1 = df.groupby("date").count()["flightNum"]
+plt.rcParams['font.sans-serif'] = ['SimHei']
+plt.rcParams['figure.figsize'] = (13, 8)  
+
+x = np.arange(int(lst[3]))
+
+#x=df1.index
+pricmax=[]
+pricmin=[]
+for i in range(int(lst[3])): 
+    date1 = date1 + datetime.timedelta(days=1)
+    df2=df[df.date==str(date1)[0:10]]
+    pric=df2['price'].max()
+    pricm=df2['price'].min()
+    pricmax.append(pric)
+    pricmin.append(pricm)
+
+bar_width = 0.35
+plt.bar(x,pricmin,bar_width,align="center",label="min",alpha=0.5)
+plt.bar(x+bar_width,pricmax,bar_width,align="center",label="max",alpha=0.5)
+plt.xticks(x+bar_width/2,df1.index.tolist())
+
+x=df1.index
+for a, b in zip(df1.index.tolist(), pricmax):
+    plt.text(a, b, b, ha='left', va='bottom', fontsize=20,color='firebrick')
+for a, b in zip(df1.index.tolist(), pricmin):
+    plt.text(a, b, b, ha='center', va='top', fontsize=20,color='teal')
+plt.xlabel("日期",fontsize=14)
+plt.ylabel("机票价格",fontsize=14)
+plt.plot(x, pricmin, marker="v",color='steelblue')
+
+x = np.arange(int(lst[3]))
+plt.plot(x+bar_width, pricmax, marker="^",color='indianred')
+plt.xticks(x+bar_width/2,df1.index.tolist())