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data-maker
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bug fix: random empty values

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dev
Steve Nyemba 2 years ago
parent d8aad070ee
commit 96ac4cd9cb
1 changed files with 1 additions and 1 deletions
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2
data/maker/prepare/__init__.py
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@ -268,7 +268,7 @@ class Input :
#@TODO: Provide random values for things that are missing #@TODO: Provide random values for things that are missing
# x = _matrix.apply(lambda row: _values[row.values == 1].tolist()[0] if (row.values == 1).sum() > 0 else np.repeat(None,len(self._columns)) ,axis=1).tolist() # x = _matrix.apply(lambda row: _values[row.values == 1].tolist()[0] if (row.values == 1).sum() > 0 else np.repeat(None,len(self._columns)) ,axis=1).tolist()
novalues = _values[np.random.choice(_values.size,1)[0]].tolist() novalues = _values[np.random.choice( len(_values),1)[0]].tolist()
# novalues = np.repeat(None,len(self._columns)) # novalues = np.repeat(None,len(self._columns))
x = _matrix.apply(lambda row: _values[row.values == 1].tolist()[0] if (row.values == 1).sum() > 0 else novalues ,axis=1).tolist() x = _matrix.apply(lambda row: _values[row.values == 1].tolist()[0] if (row.values == 1).sum() > 0 else novalues ,axis=1).tolist()
return pd.DataFrame(x,columns=columns) return pd.DataFrame(x,columns=columns)

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