arr = np.array([3, 1, 5, 2, 4]) # Get the indices that would sort the array sorted_indices = np.argsort(arr) [1 3 0 4 2] 8、其他一些高级的函数 numpy.unique:在数组中查找唯一的元素。 arr = np.array([2, 1, 3, 2, 1, 4, 5, 4]) # Get the unique elements of the arr...
data = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) # Calculate the 50th percentile (median) of the data median = np.percentile(data, 50) # Calculate the 25th and 75th percentiles (quartiles) of the data q1 = np.percentile(data, 25) q3 = np.percentile(data, 75) Median:...
numpy.percentile:计算数组的第n个百分位数。它返回低于给定百分比的数据的值。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 data = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) # Calculate the 50th percentile (median) of the data median = np.percentile(data, 50) # Calculate the...
# Compute the standard deviation of the array std = np.std(arr) 1.4142135623730951 1. 2. 3. 4. 5. 6. numpy.var:计算数组的方差。 numpy.histogram:计算一组数据的直方图。 numpy.percentile:计算数组的第n个百分位数。它返回低于给定百分比的数据的值。 data = np.array([1, 2, 3, 4, 5, 6,...
# o、p、q、r、s、t开头: 'obj2sctype', 'object', 'object0', 'object_', 'ogrid', 'oldnumeric', 'ones', 'ones_like', 'outer', 'packbits', 'pad', 'partition', 'percentile', 'pi', 'piecewise', 'pkgload', 'place', 'pmt', 'poly', 'poly1d', 'polyadd', 'polyder', 'poly...
# Create a 1-dimensional arrayarr=np.array([1, 2, 3, 4, 5])# Compute the standard deviation of the arraystd=np.std(arr)1.4142135623730951 numpy.var:计算数组的方差。 numpy.histogram:计算一组数据的直方图。 numpy.percentile:计算数组的第n个百分...
(提示: np.percentile) # Author: Jessica B. Hamrick X = np.random.randn(100) # random 1D array N = 1000 # number of bootstrap samples idx = np.random.randint(0, X.size, (N, X.size)) means = X[idx].mean(axis=1) confint = np.percentile(means, [2.5, 97.5]) ...
numpy.percentile:计算数组的第n个百分位数。它返回低于给定百分比的数据的值。 data= np.array([1,2,3,4,5,6,7,8,9,10])# Calculate the 50th percentile (median) of the datamedian= np.percentile(data,50)# Calculate the 25th and 75th percentiles (quartiles) of the dataq1= np.percentile(dat...
a = np.array([[10, 7, 4], [3, 2, 1]])print('我们的数组是:')print(a)print('调用 percentile() 函数:')# 50% 的分位数,就是 a 里排序之后的中位数print(np.percentile(a, 50))# axis 为 0,在纵列上求print(np.percentile(a, 50,axis=0))# axis 为 1,在横行上求print(np.percen...
percentile(a, q[, axis, out, …]) 沿指定轴计算数据的qth百分位。 nanpercentile(a, q[, axis, out, …]) 计算沿指定轴的数据的qth百分位,而忽略nan值。 平均数和差异 median(a[, axis, out, overwrite_input, keepdims]) 计算沿指定轴的中间值。 average(a[, axis, weights, returned]) 沿指...