使用numpy.median() 函数可以计算数组元素的中位数。 # 计算一维数组的中位数 median_a = np.median(a) print("Median of array a:", median_a) # 输出: 3.0 # 计算二维数组每列的中位数 median_b_axis_0 = np.median(b, axis=0) print("Median of each column in array b:", median_b_axis...
# find the median of the entire arraymedian1 = np.median(array1)# find the median across axis 0median2 = np.median(array1,0)# find the median across axis 0 and 1median3 = np.median(array1, (0,1)) print('\nmedian of the entire array:', median1)print('\nmedian across axis 0...
numpy.median(a, axis=None, out=None, overwrite_input=False, keepdims=False)Compute the median along the specified axis. Returns the median of the array elements. 【例】计算中位数 import numpy as np np.random.seed(20201124) x = np.random.randint(0, 20, size=[4, 5]) print(x) # [[...
1. 使用np.array()创建 一维数据创建 import numpy as np np.array([1,2,3,4,5]) array([1, 2, 3, 4, 5]) 数组类型 二维数组创建([]包起来) np.array([[1,1.2,3],[4,5,'six']]) array([['1', '1.2', '3'], ['4', '5', 'six']], dtype='<U32') 注意: numpy默认ndarra...
numpy.median: 计算数组元素的中位数。 numpy.random.rand:在区间[0,1]内从均匀分布生成随机数数组 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Generate a 1-dimensional array of random numbers random_array = np.random.rand(5) [0.35463311 0.67659889 0.5865293 0.77127035 0.13949178] numpy....
arr4 = np.array([1, 2, 3], dtype='float') arr4 # array([1., 2., 3.]) arr5 = arr4.astype('int64') arr5 # array([1, 2, 3], dtype=int64) arr6 = np.linspace(1, 10, 20) # 1到10,生成20个数,之间为等差数列
a = np.array([1,3,5]) b = np.array([2,4,6]) # Stack two arrays row-wise print(np.vstack((a,b))) >>>[[135] [246]] # Stack two arrays column-wise print(np.hstack((a,b))) >>>[135246] 分割数组 举例: # Split array into grou...
Median of said array: 5.5 Explanation: In the above code – x = np.arange(12).reshape((2, 6)): This line creates a 2-dimensional NumPy array x with shape (2, 6) and values 0 to 11 arranged row-wise. That is, the first row of x has values [0, 1, 2, 3, 4, 5] and th...
numpy.corcoef:计算两个数组之间的相关系数。numpy.mean: 计算数组元素的平均值。numpy.median: 计算数组元素的中位数。 numpy.random.rand:在区间[0,1]内从均匀分布生成随机数数组 # Generate a 1-dimensional array of random numbersrandom_array= np.random.rand(5)[0.35463311 0.67659889 0.5865293 0.77127035 ...
Return the maximum of an array or maximum along an axis. median(a, axis)(中位数) Compute the median along the specified axis. mean(a, axis, dtype)(均值) Compute the arithmetic mean along the specified axis. std(a, axis, dtype)(标准差) Compute the standard deviation along the spec...