8 examples of 'how to take 2d array input in python using numpy' in Python

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73def as2d( ar ):
74 """
75 If the input array is 2D return it, if it is 1D, append a dimension,
76 making it a column vector.
77 """
78 if ar.ndim == 2:
79 return ar
80 else: # Assume 1!
81 aux = np.array( ar, copy = False )
82 aux.shape = (ar.shape[0], 1)
83 return aux
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69def convert_image_np_2d(inp):
70 inp = denorm(inp)
71 inp = inp.numpy()
72 # mean = np.array([x/255.0 for x in [125.3,123.0,113.9]])
73 # std = np.array([x/255.0 for x in [63.0,62.1,66.7]])
74 # inp = std*
75 return inp
162def _convert_to_numpy(data):
163 """Returns tuple data with all elements converted to numpy ndarrays"""
164 if data is None:
165 return None
166 elif isinstance(data, tuple):
167 return tuple([_convert_to_numpy(d) for d in data])
168 elif isinstance(data, np.ndarray):
169 return data
170 elif isinstance(data, (pd.DataFrame, pd.Series)):
171 return data.to_numpy()
172 else:
173 raise Exception("Unsupported type %s" % str(type(data)))
321def _atleast_2d_with_dtype(value, dtype=None):
322
323 if dtype is not None:
324 value = np.array(value, dtype=dtype)
325
326 arr = np.atleast_2d(value)
327
328 return arr
21def data_tranform2d(data):
22 """
23 :param data:
24 :return data2d:
25
26 Returns the data array reshaped into 2-dimensions
27 """
28 shape, dimensions = data_shape(data)
29
30 if dimensions == 1:
31 raise TypeError('Data must have dimensions between 2 and 4')
32
33 elif dimensions == 2:
34 return data
35
36 elif dimensions == 3:
37 return np.reshape(data, (shape[0]*shape[1], shape[2]))
38
39 elif dimensions == 4:
40 return np.reshape(data, (shape[0]*shape[1]*shape[2], shape[3]))
41
42 else:
43 raise TypeError('Data must have dimensions between 2 and 4')
37def array(a):
38 return numpy.array(a)
246def atleast_3d(ary):
247 """
248 numpy.atleast_3d adds axes on either side of a 1d array's axis, but I want the new axes to come afterward.
249 :param ary:
250 :type ary:
251 :return:
252 :rtype:
253 """
254 ary = numpy.asanyarray(ary)
255 if len(ary.shape) == 0:
256 result = ary.reshape(1, 1, 1)
257 elif len(ary.shape) == 1:
258 result = ary[:, None, None]
259 elif len(ary.shape) == 2:
260 result = ary[:,:, None]
261 else:
262 result = ary
263
264 return result
42def array2d(X, dtype=None, order=None, copy=False):
43 """Returns at least 2-d array with data from X"""
44 if sp.issparse(X):
45 raise TypeError('A sparse matrix was passed, but dense data '
46 'is required. Use X.toarray() to convert to dense.')
47 X_2d = np.asarray(np.atleast_2d(X), dtype=dtype, order=order)
48 _assert_all_finite(X_2d)
49 if X is X_2d and copy:
50 X_2d = safe_copy(X_2d)
51 return X_2d

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