3 examples of 'how to normalize data in python' in Python
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309 def data_to_normalize01(data): 310 """ 311 Normalize images to have values between 0.0 and 1.0. 312 :param data: numpy array or CellImageData 313 :return: numpy array or CellImageData 314 """ 315 if isinstance(data, np.ndarray): 316 return data.astype(np.float32) / 255 317 data.img = data.img.astype(np.float32) / 255 318 return data
28 def normalize_dataset(data): 29 for row in data: 30 # print row["query"] 31 row["query"] = normalize_sparql(row["query"]) 32 # print "#####" 33 return data
142 def normalize(data): 143 """Normalize the data to be in the [0, 1] range. 144 145 :param data: 146 :return: normalized data 147 """ 148 out_data = data.copy() 149 150 for i, sample in enumerate(out_data): 151 out_data[i] /= sum(out_data[i]) 152 153 return out_data