熊貓想之間兩種不同的數據使用DIC

Question

dt=df['dt'] 
first=df['first'] 
x=pd.value_counts(pd.to_datetime(df.dt.sum()).strftime('%Y-%m')) 
y=pd.value_counts(pd.to_datetime(first.sum()).strftime('%Y-%m')) 

x     y 
2015-01 111   2015-01 654 
2015-03 1231   2015-03 315 
2015-05 123   2015-05 464 
2015-02 456   2015-02 654 
.     . 
.     . 

x和y是具有數據這樣

即）2015-01 =（111分之654）* 100

我wnat到計算百分比計算像同年個月的X，Y（X/Y）×100

y   x 
((2015-01+2015-02)/2015-02)*100 
((2015-01+2015-02+2015-03)/2015-03)*100 

2015-02=(654+654/456)*100 
2015-03=(654+654+315/1231)*100 
like this 


I want to put this x and y in dictionary 
date is key and number is value 

ie) dict={2105-01:111,2015-03:1231......} 

Answer 1

看來你需要sort_index + cumsum + div + mul + iloc（用於刪除第一個值）+ to_dict：

#last value is incorrect, because 2015-04 is not in sample 
d = y.sort_index().cumsum().div(x).mul(100).iloc[1:].to_dict() 
print (d) 
{'2015-02': 286.84210526315786, 
'2015-05': 1696.747967479675, 
'2015-03': 131.84402924451666}