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Printing full or truncated NumPy array
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schedule Mar 10, 2022
Last updated Python●NumPy
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expand_more Whether the full or truncated NumPy array is printed can be controlled using the threshold parameter of set_printoptions(). By default, threshold=1000.
To check the current configuration use the get_printoptions(~) method:
np.get_printoptions()
{'edgeitems': 3, 'threshold': 1000, 'floatmode': 'maxprec', 'precision': 8, 'suppress': False, 'linewidth': 75, 'nanstr': 'nan', 'infstr': 'inf', 'sign': ' ', 'formatter': None, 'legacy': False}
Examples
By default, threshold=1000, which means that printing arrays that have 1000 values or more will be summarized:
To set a new threshold of 3:
np.set_printoptions(threshold=3)np.arange(7)
array([0, 1, 2, ..., 4, 5, 6])
When arrays are truncated, by default 3 values are shown on the left and right. To change this we can specify the edgeitems parameter:
np.set_printoptions(threshold=3, edgeitems=1)np.arange(7)
array([0, ..., 6])
Published by Arthur Yanagisawa
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