Python-Numpy(1)Array数组
2017-08-11 08:10
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import numpy world_alcohol = numpy.genfromtxt("world_alcohol.txt", delimiter=",") print(type(world_alcohol))
#The numpy.array() function can take a list or list of lists as input. When we input a list, we get a one-dimensional array as a result: vector = numpy.array([5, 10, 15, 20]) #When we input a list of lists, we get a matrix as a result: matrix = numpy.array([[5, 10, 15], [20, 25, 30], [35, 40, 45]]) print vector print matrix
#We can use the ndarray.shape property to figure out how many elements are in the array vector = numpy.array([1, 2, 3, 4]) print(vector.shape) #For matrices, the shape property contains a tuple with 2 elements. matrix = numpy.array([[5, 10, 15], [20, 25, 30]]) print(matrix.shape)
#Each value in a NumPy array has to have the same data type #NumPy will automatically figure out an appropriate data type when reading in data or converting lists to arrays. #You can check the data type of a NumPy array using the dtype property. numbers = numpy.array([1, 2, 3, 4]) numbers.dtype
#When NumPy can't convert a value to a numeric data type like float or integer, it uses a special nan value that stands for Not a Number #nan is the missing data #1.98600000e+03 is actually 1.986 * 10 ^ 3 world_alcohol
world_alcohol = numpy.genfromtxt("world_alcohol.txt", delimiter=",", dtype="U75", skip_header=1) print(world_alcohol)
uruguay_other_1986 = world_alcohol[1,4] third_country = world_alcohol[2,2] print uruguay_other_1986 print third_country
vector = numpy.array([5, 10, 15, 20]) print(vector[0:3])
matrix = numpy.array([ [5, 10, 15], [20, 25, 30], [35, 40, 45] ]) print(matrix[:,1])
matrix = numpy.array([ [5, 10, 15], [20, 25, 30], [35, 40, 45] ]) print(matrix[:,0:2])
matrix = numpy.array([ [5, 10, 15], [20, 25, 30], [35, 40, 45] ]) print(matrix[1:3,0:2])
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