0530

data1.py

@@ -0,0 +1,84 @@
+from dateutil import parser
+import matplotlib.dates as mdates
+import matplotlib.pyplot as plt
+import numpy as numpy
+import pandas as pd
+import datetime
+
+# 这是使matplotlib图形内联出现在笔记本中的一个小技巧
+# %matplotlib inline
+
+df_ferrara = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\ferrara_270615.csv')
+df_milano = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\milano_270615.csv')
+df_mantova = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\mantova_270615.csv')
+df_ravenna = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\ravenna_270615.csv')
+df_torino = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\torino_270615.csv')
+df_asti = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\asti_270615.csv')
+df_bologna = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\bologna_270615.csv')
+df_piacenza = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\piacenza_270615.csv')
+df_cesena = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\cesena_270615.csv')
+df_faenza = pd.read_csv(r'D:\python\pythonProject\pythonProject\main\faenza_270615.csv')
+
+
+# 温度数据分析-以米兰为例:
+
+# 取出我们要分析的温度和日期数据
+y1 = df_milano['temp']
+x1 = df_milano['day']
+
+
+# 把日期数据系统转换成datetime的格式
+day_milano = [parser.parse(x) for x in x1]
+
+# 调用subplot函数,fig是图像对象,ax是坐标轴对象
+fig, ax = plt.subplots()
+
+# 调整x轴坐标刻度,使其旋转70度,方便查看
+plt.xticks(rotation=70)
+
+# 设定时间的格式
+hours = mdates.DateFormatter('%H:%M')
+
+# 设定x轴显示的格式
+ax.xaxis.set_major_formatter(hours)
+
+# 画出图像,day_milano 是x轴坐标数据,y1是y轴数据,'r'代表的是'red'hongse
+ax.plot(day_milano, y1, 'r')
+
+# 显示图像
+# plt.show()
+
+# 读取温度和日期数据
+y1 = df_ravenna['temp']
+x1 = df_ravenna['day']
+y2 = df_faenza['temp']
+x2 = df_faenza['day']
+y3 = df_cesena['temp']
+x3 = df_cesena['day']
+y4 = df_milano['temp']
+x4 = df_milano['day']
+y5 = df_asti['temp']
+x5 = df_asti['day']
+y6 = df_torino['temp']
+x6 = df_torino['day']
+
+# 把日期从string类型转化为标准的datetime类型
+day_ravenna = [parser.parse(x) for x in x1]
+day_faenza = [parser.parse(x) for x in x2]
+day_cesena = [parser.parse(x) for x in x3]
+day_milano = [parser.parse(x) for x in x4]
+day_asti = [parser.parse(x) for x in x5]
+day_torino = [parser.parse(x) for x in x6]
+
+# 调用subplos()函数,重新定义fig,ax变量
+fig, ax = plt.subplots()
+plt.xticks(rotation=70)
+
+hours = mdates.DateFormatter('%H:%M')
+ax.xaxis.set_major_formatter(hours)
+
+# 这里需要画出三根线,所以需要三组参数,'g'代表'green'
+ax.plot(day_ravenna, y1, 'r', day_faenza, y2, 'r', day_cesena, y3, 'r')
+ax.plot(day_milano, y4, 'g', day_asti, y5, 'g', day_torino, y5, 'g')
+
+plt.show()