I have a dataframe atype
AT N term
1 4 1 1
2 3 2 1
3 2 3 2
4 1 4 2
i need to set the entire row of a new dataframe
to term value from atype
. Is this the best way to accomplish the task?
m1 = pd.DataFrame(0, index = atype.index, columns=atype.index)
m2 = pd.DataFrame(0, index = atype.index, columns=atype.index)
for i in range(1, atype.shape[0]+1):
m1.ix[i] = atype.ix[i,"term"]
m2[i] = atype.ix[i,"term"]
or is there a better/ more efficient way in where i dont need to use a loop?
Is that what you want?
In [91]: pd.DataFrame([atype.term.values.tolist()] * len(atype),
columns=atype.index, index=atype.index).T
Out[91]:
1 2 3 4
1 1 1 1 1
2 1 1 1 1
3 2 2 2 2
4 2 2 2 2
In [92]: pd.DataFrame([atype.term.values.tolist()] * len(atype),
columns=atype.index, index=atype.index)
Out[92]:
1 2 3 4
1 1 1 2 2
2 1 1 2 2
3 1 1 2 2
4 1 1 2 2
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