我这里有一些数据:
Country/Region 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20
0 Afghanistan 0 0 0 0 0
1 Albania 0 0 0 0 0
2 Algeria 0 0 0 0 0
3 Andorra 0 0 0 0 0
4 Angola 0 0 0 0 0
5 Antigua and Barbuda 0 0 0 0 0
6 Argentina 0 0 0 0 0
7 Armenia 0 0 0 0 0
8 Australia 0 0 0 0 0
9 Australia 0 0 0 0 3
10 Australia 0 0 0 0 0
11 Australia 0 0 0 0 0
12 Australia 0 0 0 0 0
13 Australia 0 0 0 0 0
14 Australia 0 0 0 0 1
15 Australia 0 0 0 0 0
16 Austria 0 0 0 0 0
17 Azerbaijan 0 0 0 0 0
18 Bahamas 0 0 0 0 0
19 Bahrain 0 0 0 0 0
20 Bangladesh 0 0 0 0 0
我想重新排列,以便日期是行,而国家是列。像这样:
Country/Region Afghanistan Albania
1/22/20 0 0
1/23/20 0 0
1/24/20 0 0
依此类推。我尝试使用pd.melt,但不能完全确定如何获得所需的输出。这是我的尝试:
%matplotlib inline
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import math
data = pd.read_csv("covid.csv", sep=",")
data = data.drop(["Province/State","Lat","Long"], axis=1)
data_melted = data.melt(value_vars=data.columns[1:], var_name="Date",value_name="Cases")
Date Cases
0 1/22/20 0
1 1/22/20 0
2 1/22/20 0
3 1/22/20 0
4 1/22/20 0
5 1/22/20 0
6 1/22/20 0
7 1/22/20 0
8 1/22/20 0
9 1/22/20 0
10 1/22/20 0
11 1/22/20 0
12 1/22/20 0
13 1/22/20 0
14 1/22/20 0
我也尝试过:
data_melted = data.melt(value_vars=[data.columns[1:], "Country/Region"])
但是尽管“国家/地区”不是索引,但出现TypeError:无法散列的类型:“ Index”。
非常感谢您提供任何帮助。
您正在寻找转置表格的地方:
df.set_index('Country/Region').T
[我注意到,Australia
被重复了多次,如果您想通过累加来合并它们:
df.set_index('Country/Region').T \
.groupby(level=0, axis=1) \
.sum()