My OneHot
My example oneHot to save space.
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| import numpy as np | |
| import pandas as pd | |
| class OneHot: | |
| def __init__(self, i_dataFrame): | |
| self.h={} | |
| self.hh={} | |
| self.length=0 | |
| self.H(i_dataFrame) | |
| def H(self,n): | |
| a=np.array(n.tolist()) | |
| self.h={} | |
| self.hh={} | |
| count=0 | |
| for i in np.sort(np.unique(a)): | |
| self.hh[count]=i | |
| self.h[i]=count | |
| count+=1 | |
| self.length=count | |
| def oH(self,i): | |
| b=np.zeros(self.length,dtype=int) | |
| b[self.h[i]]=1 | |
| return b | |
| # Example Usage | |
| # Define a dataframe | |
| d=pd.DataFrame(np.array([[1,2,2,3],[4,5,6,7],[4,8,2,7]])) | |
| # You want d[0] to be oneHot | |
| oneHot = OneHot(d[0]) | |
| d['oh']=d[0].apply(lambda x: oneHot.oH(x)) | |
| # Returns | |
| 0 1 2 3 oh <---- This row col names. | |
| 0 1 2 2 3 [1, 0] | |
| 1 4 5 6 7 [0, 1] | |
| 2 4 8 2 7 [0, 1] | |
| # Okay, not that you want to encode 1,4,4 as one hot | |
| # encoding. But you only have 2 unique values (1,4). | |
| # So, to save space, make this only length 2. And, | |
| # fill in the gap | |