在Python中使用列表中的名称在循环中创建新变量

时间:2012-07-03 22:09:54

标签: python list variables loops

如何使用列表中的名称创建新变量? 这样:

name = ['mike', 'john', 'steve']   
age = [20, 32, 19]  
index = 0

for e in name:
    name[index] = age[index]
    index = index+1

当然不起作用。我该怎么办?

我想这样做:

print mike
>>> 20

print steve
>>> 19

4 个答案:

答案 0 :(得分:10)

我认为dictionaries更适合此目的:

>>> name = ['mike', 'john', 'steve']   

>>> age = [20, 32, 19] 

>>> dic=dict(zip(name, age))

>>> dic['mike']
20
>>> dic['john']
32

但如果您仍想动态创建变量,可以使用globals()[]

>>> for x,y in zip(name, age):
    globals()[x] = y


>>> mike
20
>>> steve
19
>>> john
32

答案 1 :(得分:3)

可以使用globals()

globals()[e] = age[index]

但是,一般来说,你不想这样做;字典更方便。

people = {
    'mike': 20,
    'john': 32,
    'steve': 19
}

答案 2 :(得分:0)

name = ['mike', 'john', 'steve']   
age = [20, 32, 19] 
for i in range(len(name)):
    exec("%s = %d" %(name[i], age[i]))
print(mike)
print(john)
print(steve)

答案 3 :(得分:0)

词典是必经之路!

import pandas as pd
import datetime
import pandas_datareader as dr

# Get data for this year, so far
start = datetime.datetime(2019,1,1)
end = datetime.datetime(2019,6,1)

companies = ['AA', 'AAPL', 'BA', 'IBM']
df_dict = {}
for name in companies:
    df_dict[name] = pd.DataFrame()
    df_dict[name] = dr.data.get_data_yahoo(name, start, end)

print()
print(' Apple dataframe ')
print(df_dict['AAPL'].head())