标签:449 df datetime ws pd tweets import csv weekly
import pandas as pd from datetime import datetime fn = r"D:\OneDrive - UNSW\tweets_flu.csv" df = pd.read_csv(fn) for i in range(len(df)): t = df.iloc[i]['created_at'] w = datetime.strptime(t, "%Y-%m-%d %H:%M:%S").strftime("%W") ws.append(w) ws = [] df['ws'] = ws df['ws'].value_counts()
import pandas as pd from datetime import datetime fn = r"D:\OneDrive - UNSW\tweets_flu.csv" df = pd.read_csv(fn) for i in range(len(df)): t = df.iloc[i]['created_at'] w = datetime.strptime(t, "%Y-%m-%d %H:%M:%S").strftime("%W") ws.append(w) ws = [] df['ws'] = ws df['ws'].value_counts() wss = [] for i in a.index: wss.append((i, a[i])) sorted(wss, key=lambda x:x[0]) [('12', 56), ('13', 22), ('14', 41), ('15', 52), ('16', 25), ('17', 45), ('18', 63), ('19', 54), ('20', 51), ('21', 143), ('22', 77), ('23', 53), ('24', 133), ('25', 93), ('26', 77), ('27', 125), ('28', 63), ('29', 67), ('30', 56), ('31', 67), ('32', 62), ('33', 67), ('34', 54), ('35', 41), ('36', 43), ('37', 24), ('38', 29), ('39', 33), ('40', 14)]
标签:449,df,datetime,ws,pd,tweets,import,csv,weekly 来源: https://www.cnblogs.com/alex-bn-lee/p/11829709.html
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