问题遇到的现象和发生背景
在begin-end 区间中补充代码,使用dtype函数查看数据集的类型
用代码块功能插入代码,请勿粘贴截图
import pandas as pd
# 读入外部数据
data3 = pd.read_csv('deaths.csv')
#####begin#####
#####end######
#######达到下列运行结果
Unnamed: 0 int64
UID int64
iso2 object
iso3 object
code3 int64
FIPS float64
Admin2 object
Province_State object
Country_Region object
Lat float64
Long_ float64
Combined_Key object
Population int64
1/22/20 int64
1/23/20 int64
1/24/20 int64
1/25/20 int64
1/26/20 int64
1/27/20 int64
1/28/20 int64
1/29/20 int64
1/30/20 int64
1/31/20 int64
2/1/20 int64
2/2/20 int64
2/3/20 int64
2/4/20 int64
2/5/20 int64
2/6/20 int64
2/7/20 int64
...
7/15/20 int64
7/16/20 int64
7/17/20 int64
7/18/20 int64
7/19/20 int64
7/20/20 int64
7/21/20 int64
7/22/20 int64
7/23/20 int64
7/24/20 int64
7/25/20 int64
7/26/20 int64
7/27/20 int64
7/28/20 int64
7/29/20 int64
7/30/20 int64
7/31/20 int64
8/1/20 int64
8/2/20 int64
8/3/20 int64
8/4/20 int64
8/5/20 int64
8/6/20 int64
8/7/20 int64
8/8/20 int64
8/9/20 int64
8/10/20 int64
8/11/20 int64
8/12/20 int64
8/13/20 int64
Length: 218, dtype: object