3 examples of 'how to normalize data in python' in Python

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309def 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
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28def normalize_dataset(data):
29 for row in data:
30 # print row["query"]
31 row["query"] = normalize_sparql(row["query"])
32 # print "#####"
33 return data
142def 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

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