Python 进行气象预测

最新推荐文章于 2025-07-15 16:19:48 发布

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最新推荐文章于 2025-07-15 16:19:48 发布

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本文链接：https://blog.youkuaiyun.com/qq_25144705/article/details/81570478

本文介绍了如何利用Python进行气象预测，包括数据获取、预处理、模型建立和结果评估等步骤，探讨了Python在气象科学中的应用。

#coding=utf-8
import numpy as np
import pandas as pd
import datetime

#导入数据
df_ferrara = pd.read_csv('WeatherData/ferrara_270615.csv')
df_milano = pd.read_csv('WeatherData/milano_270615.csv')
df_mantova = pd.read_csv('WeatherData/mantova_270615.csv')
df_ravenna = pd.read_csv('WeatherData/ravenna_270615.csv')
df_torino = pd.read_csv('WeatherData/torino_270615.csv')
df_asti = pd.read_csv('WeatherData/asti_270615.csv')
df_bologna = pd.read_csv('WeatherData/bologna_270615.csv')
df_piacenza = pd.read_csv('WeatherData/piacenza_270615.csv')
df_cesena = pd.read_csv('WeatherData/cesena_270615.csv')
df_faenza = pd.read_csv('WeatherData/faenza_270615.csv')


#导入库
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from dateutil import parser

# 取出我们要分析的温度和日期数据
y1 = df_milano['temp']
x1 = df_milano['day']

# print(df_milano)
# 把日期数据转换成 datetime 的格式
day_milano = [parser.parse(x) for x in x1]
print(day_milano)

# 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