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Add code about numpy
1 parent e824729 commit efd6156

10 files changed

Lines changed: 204 additions & 4 deletions

‎fp/ch4/ch4_10.py‎

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‎module_numpy/__init__.py‎

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‎module_numpy/numpy_bool_index.py‎

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import numpy as np
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if __name__ == '__main__':
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names = np.array(['Bob', 'Joe', 'Will', 'Bob', 'Will', 'Joe', 'Joe'])
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data = np.random.randn(7, 4)
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print(names)
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print(data)
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print(names == 'Bob')
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print(data[names == 'Bob'])
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print(data[names == 'Bob', 2:])
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print(data[names == 'Bob', 3])
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print(names != 'Bob')
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print(data[~(names == 'Bob')])
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cond = names == 'Bob'
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print(data[~cond])
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mask = (names == 'Bob') | (names == 'Will')
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print(mask)
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print(data[mask])
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data[data < 0] = 0
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print(data)
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data[names != 'Joe'] = 7
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print(data)

‎module_numpy/numpy_generate_array.py‎

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import numpy as np
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if __name__ == '__main__':
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data = np.random.randn(2, 3)
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print(data)
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data2 = data * 10
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print(data2)
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data3 = data + data
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print(data3)
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print(data.shape)
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print(data.dtype)
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‎module_numpy/numpy_magic_index.py‎

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import numpy as np
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if __name__ == '__main__':
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arr = np.empty((8, 4))
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for i in range(8):
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arr[i] = i
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print(arr)
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print(arr[[4, 3, 0, 6]])
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print(arr[[-3, -5, -7]])
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arr = np.arange(32).reshape((8, 4))
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print(arr)
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print(arr[[1, 5, 7, 2], [0, 3, 1, 2]])
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print(arr[[1, 5, 7, 2]][:, [0, 3, 1, 2]])
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‎module_numpy/numpy_ndarray.py‎

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import numpy as np
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if __name__ == '__main__':
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data1 = [6, 7.5, 8, 0, 1]
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arr1 = np.array(data1)
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print(arr1)
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data2 = [[1, 2, 3, 4], [5, 6, 7, 8]]
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arr2 = np.array(data2)
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print(arr2)
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print(arr2.ndim)
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print(arr2.shape)
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print(arr1.dtype, arr2.dtype)
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print(np.zeros(10))
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print(np.zeros((3, 6)))
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print(np.empty((2, 3, 2)))
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print(np.arange(15))
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‎module_numpy/numpy_ndarray_type.py‎

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import numpy as np
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if __name__ == '__main__':
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arr1 = np.array([1, 2, 3], dtype=np.float64)
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arr2 = np.array([1, 2, 3], dtype=np.int32)
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print(arr1, arr1.dtype)
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print(arr2, arr2.dtype)
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arr = np.array([1, 2, 3, 4, 5])
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print(arr.dtype)
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float_arr = arr.astype(np.float64)
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print(float_arr, float_arr.dtype)
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arr = np.array([3.7, -1.2, -2.6, 0.5, 12.9, 10.1])
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print(arr, arr.dtype)
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print(arr.astype(np.int32))
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numeric_strings = np.array(['1.25', '-9.6', '42'], dtype=np.string_)
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print(numeric_strings.astype(float))
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int_array = np.arange(10)
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print(int_array, int_array.dtype)
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calibers = np.array([.22, .270, .357, .380, .44, .50], dtype=np.float64)
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print(int_array.astype(calibers.dtype))
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empty_uint32 = np.empty(8, dtype='u4')
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print(empty_uint32, empty_uint32.dtype)
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‎module_numpy/numpy_slice.py‎

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import numpy as np
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if __name__ == '__main__':
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arr = np.arange(10)
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print(arr)
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print(arr[5])
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print(arr[5:8])
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arr[5:8] = 12
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print(arr)
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arr_slice = arr[5:8]
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print(arr_slice)
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arr_slice[1] = 12345
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print(arr)
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arr_slice[:] = 64
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print(arr)
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arr_2d = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
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print(arr_2d[2])
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print(arr_2d[0][2])
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arr_3d = np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]])
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print(arr_3d)
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print(arr_3d.shape)
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print(arr_3d[0].shape)
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old_values = arr_3d[0].copy()
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arr_3d[0] = 42
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print(arr_3d)
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arr_3d[0] = old_values
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print(arr_3d)
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print(arr_3d[1, 0])
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print(arr[1:6])
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print(arr_2d[:2])
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print(arr_2d[:2, 1:])
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print(arr_2d[1, :2])
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print(arr_2d[:2, 2])
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print(arr_2d[:, :1])
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arr_2d[:2, 1:] = 0
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print(arr_2d)

‎module_numpy/numpy_vector_op.py‎

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import numpy as np
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if __name__ == '__main__':
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arr = np.array([[1., 2., 3.], [4., 5., 6.]])
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print(arr)
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print(arr * arr)
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print(arr - arr)
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print(1 / arr)
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print(arr ** 0.5)
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arr2 = np.array([[0., 4., 1.], [7., 2., 12.]])
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print(arr2)
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print(arr2 > arr)
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‎module_pandas/pandas_read_excel.py‎

Lines changed: 6 additions & 4 deletions

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