I have a variable
var=[name1,name2]
I have a dataframe also in a list
df= [df1, df2]
How do i assign df1 to name1 and df2 to name2 and so on.
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2 Answers
1
If I understand correctly, assuming the lengths of both lists are the same you just iterate over the indices of both lists and just assign them, example:
In [412]:
name1,name2 = None,None
var=[name1,name2]
df1, df2 = 1,2
df= [df1, df2]
for x in range(len(var)):
var[x] = df[x]
var
Out[412]:
[1, 2]
If your variable list is storing strings then I would not make variables from those strings (see How do I create a variable number of variables?) and instead create a dict:
In [414]:
var=['name1','name2']
df1, df2 = 1,2
df= [df1, df2]
d = dict(zip(var,df))
d
Out[414]:
{'name1': 1, 'name2': 2}
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The var=['name1','name2'] contains strings. do we still iterate over the lists. Apologies for not including the string earlier and also the df1= m *n matrix – user2819398 Jul 15 '15 at 13:51
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Sorry you want to make variables from a string name? Also my code just demonstrates how to iterate over 2 lists and overwrite the contents of one list with another – EdChum Jul 15 '15 at 14:04
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Also I suggest you use a dict to achieve what you want: http://stackoverflow.com/questions/1373164/how-do-i-do-variable-variables-in-python – EdChum Jul 15 '15 at 14:05
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When you say `m*n matrix` what does this mean, is this an array? – EdChum Jul 15 '15 at 14:06
0
To answer your question, you can do this by:
for i in zip(var, df):
globals()[i[0]] = i[1]
And then access your variables. But proceeding this way is bad. You're like launching a dog in your global environment. It's better to keep control about what you handle, keep your dataframe in a list or dictionary.
Colonel Beauvel
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