在对象内添加数字

Question

我试图添加与特定年份配对的数字，然后在相同的图上绘制结果。

数组的格式如下：

[(year, [one or two nums]),(year, [one or two nums]),(year, [one or two nums]),... ]

import pandas
import pylab
import matplotlib
from pandas import *
from pylab import *
from matplotlib import *

names = read_csv(r'C:\Users\joe\Documents\Python\baby-names2.csv')
print (names.head())

import matplotlib as mpl
import matplotlib.pyplot as plt



resultAry = names[names.name.isin(['Joseph', 'Nancy'])].set_index(['year','name','sex'])['prop']
resultAry = resultAry.groupby(level='name')
print (resultAry.head())
print ('***************')
resultAry = resultAry.groupby(level='year')
print (resultAry)
#resultAry = resultAry.plot()

name
Joseph    [(1880, [0.022209, 0.000102]), (1881, [0.02267...
Nancy     [(1880, [0.004211]), (1881, [0.004339]), (1882...
dtype: object

[(year1,[prop1 + prop2(if exists)]),(year2,[prop1 + prop2(if exists)])...]

这个问题是从另一篇文章中继承过来的：用全等x值在python中绘图

Answer 1

end_list = []
for year, nums in items:
    for num in nums:
        end_list.append((year, [num]))

不是最优雅的解决方案，但它完成了工作。