1. 使用`numpy`库的`quantile`函数:
import numpy as npdata = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]q1 = np.quantile(data, 0.25)q3 = np.quantile(data, 0.75)iqr = q3 - q1print("第一四分位数(Q1): ", q1)print("第三四分位数(Q3): ", q3)print("四分位距(IQR): ", iqr)
2. 使用`pandas`库的`describe`方法:
import pandas as pddata = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]data_frame = pd.DataFrame(data)print(data_frame.describe())

3. 使用自定义函数计算四分位数:
def quantile_exc(data, n):data.sort()position = (len(data) + 1) * n / 4pos_integer = int(position)pos_decimal = position - pos_integerquartile = data[pos_integer - 1] + (data[pos_integer] - data[pos_integer - 1]) * pos_decimalreturn quartiledef quantile_inc(data, n):data.sort()position = 1 + (len(data) - 1) * n / 4pos_integer = int(position)pos_decimal = position - pos_integerquartile = data[pos_integer - 1] + (data[pos_integer] - data[pos_integer - 1]) * pos_decimalreturn quartiledata = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]print("使用exc方法计算Q1: ", quantile_exc(data, 0.25))print("使用exc方法计算Q3: ", quantile_exc(data, 0.75))
以上方法都可以用来计算四分位数,其中`numpy`和`pandas`的方法更为简洁高效。请根据你的具体需求选择合适的方法
