Question

我有一段时间内同一月的数据，我试图按平均日绘制平均值，但我不知道该怎么做。 This is how the dataframe looks like

获取数据框的主要代码：

import requests
import pandas as pd
from bs4 import BeautifulSoup as bs
import matplotlib.pyplot as plt
from datetime import date, timedelta
from datetime import datetime

inicio = date(1973, 1, 1)
#inicio = date(2019, 2, 15)
#final = date(2000, 10, 10)
final = date(1974, 3, 1)
delta = timedelta(days=1)
años=[]
links=[]
while inicio <= final:
    fechas=inicio.strftime("%Y-%m-%d")
    #años.append(datetime.strptime(fechas, '%Y-%m-%d').date())
    años.append(fechas)
    url='http://weather.uwyo.edu/cgi-bin/sounding?region=samer&TYPE=TEXT%3ALIST&YEAR={}&MONTH={}&FROM={}12&TO={}12&STNM=80222'.format(fechas[0:4],fechas[5:7],fechas[8:10],fechas[8:10])
    links.append(url)
    inicio += delta


d = dict(zip(años, links))
df1=pd.DataFrame(list(d.items()), columns=['Fecha', 'url'])
df1.set_index('Fecha', inplace=True)

Enero=pd.DataFrame()
Febrero=pd.DataFrame()

for i in df1.index:
    if i[5:7]=='01':
        Enero = Enero.append(df1.loc[i], ignore_index=False)
    elif i[5:7]=='02':
        Febrero = Febrero.append(df1.loc[i], ignore_index=False)

labels = ['PRES', 'HGHT', 'TEMP', 'DWPT', 'RELH', 'MIXR', 'DRCT', 'SKNT', 'THTA', 'THTE', 'THTV']

def reques(url):
    try:
        results = []
        peticion=requests.get(url)
        soup=bs(peticion.content, 'lxml')
        pre = (soup.select_one('pre')).text
        for line in pre.split('\n')[4:-1]:
            #print (line)
            if '--' not in line:
                row = [line[i:i+7].strip() for i in range(0, len(line), 7)]
                results.append(row)

            else:
                pass

        df5=pd.DataFrame.from_records(results, columns=labels)
        #return x
        return df5

    except AttributeError:
        pass

SuperDF = pd.DataFrame()
SuperDF = pd.DataFrame(columns=labels)


startTime = datetime.now()
sin_datos=[]
for i in Febrero['url']:

    try:

        x=reques(i)
        df2=x
        y=str(df1[df1['url']==i].index.values)
        df2.index = [y] * len(x)
        SuperDF=SuperDF.append(x)


    except TypeError:
        sin_datos.append(df1[df1['url']==i].index.values)
        print (df1[df1['url']==i].index.values)



SuperDF.index= SuperDF.index.map(lambda x: x.lstrip("['").rstrip("]''"))
SuperDF.index = pd.to_datetime(SuperDF.index)
SuperDF=SuperDF.apply(pd.to_numeric)
SuperDF

我一直在尝试这样做

import seaborn as sns


SuperDF = SuperDF[(SuperDF['TEMP']==0)]


ax = SuperDF.loc['02', 'RELH'].plot(marker='o', linestyle='-')
ax.set_ylabel('RELH');

但是我遇到了这个错误

KeyError: '02'

当我过了一年，但我需要一个月的日均值时，它可以工作。任何帮助将不胜感激。
This is what I need

历年同月的每日数据

0 个答案: