The following data columns cannot be unified.Why?
The following df3 data
array([-1, 0, 1, 2, 1, 3, 4, 5, 6, 3, 3, 7, 8, 9]),
list([-1, 10, 11, 10, 12, 13, 14, 15, 13, 16, 17, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, = object])
Here is the coat to arrange the columns of the above data.
Code python
X=sum(df3.tolist(),[])
## Max size
l=max(map(len,X))
## padding
B = np.array (map(lambdax:x+[0]*(l-len(x))), X))
The following error details
AttributeError Traceback (most recent call last)
<ipython-input-13-d279312ff4d1>in<module>
---->1 X = sum (df3.tolist(), [ ])
2## Max size
3 l = max (map(len, X))
4## Padding
5 B = np.array (map(lambdax:x + [0]*(l-len(x))), X))
AttributeError: 'list' object has no attribute'tolist'
Thank you for your cooperation.
python numpy
This has been resolved.
I misunderstood and thought it was an array.It was a list.
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