Question

我的水文学课的作业是关于输出结果以进行频率分析。给出了数十年的日降水量数据，我提取了年度最大日降水量。因此，现在我必须估计参数并输出概率分布。但是，我花了很长时间才学会Python，因此即使我用Google搜索，也很难为我找到引用。

 # Extracting annual max value of the data
 from openpyxl import load_workbook
 from openpyxl import Workbook
 from operator import itemgetter
 fileUrl = r"C:\Users\DW\Desktop\rainfall.xlsx"

 wb = load_workbook(fileUrl)
 ws = wb.active
 all_data = []
 for row in ws.iter_rows(min_row=2,max_row=16072,max_col=64):
 temp = []
 for cell in row:
  temp.append(cell.value)
 all_data.append(temp) 
 j = 0 
 for i in range(1975,2019):
  temp = []
  while True:
   if (j < len(all_data) and i == all_data[j][0]):
    temp.append(all_data[j])
   else:
    max_list.append(max(temp, key = itemgetter(3,63)))
  break
  j += 1
  print('max_list ', str(max_list))
  wb2 = Workbook()
  sheet1 = wb2.active
  filename = 'max90.xlsx'
  for i in max_list:
  print(i)
  sheet1.append(i)
  wb2.save(filename=filename)

  # to estimate parameters of distribution
  import pandas as pd
  import numpy as np
  import scipy as sp
  import scipy.stats as sps
  import seaborn as sns
  import matplotlib.pyplot as plt
  %matplotlib inline
  max90 = pd.read_excel(r"C:\Users\DW\Desktop\max90.xlsx")

我需要一些帮助来估计用于编码分布的参数

0 个答案: