在全直径数字岩心中，如何获取每张切片的不同PEF区间值的百分比？

import os
import datetime
from PIL import Image
import numpy as np
import csv
import easygui as g


class Table(object):

    def __init__(self, table_data_path):
        self.table_data_path = table_data_path

    def get_data(self):
        self.image = Image.open(self.table_data_path)
        self.array = np.array(self.image).flatten()
        self.table_data = [i for i in self.array if i > 0]
        if self.array.any() != 0:
            # Mode_value = round(stats.mode(self.table_data)[0][0], 2)
            # Mode_count = stats.mode(self.table_data)[1][0]
            # Count = np.size(self.table_data)
            Min = round(np.min(self.table_data), 5)
            min_list.append(Min)
            Max = round(np.max(self.table_data), 5)
            max_list.append(Max)
            Mean = round(np.mean(self.table_data), 5)
            mean_list.append(Mean)
            StdDev = round(np.std(self.table_data), 5)
            stdDev_list.append(StdDev)

            for a in range(len(data_range_use)):
                range_percent = round(len([j for j in self.table_data if
                                           (j > data_range_use[a][0]) and (j <= data_range_use[a][1])]) / len(
                    self.table_data) * 100, 4)
                prepare_list['range_percent_list_%s' % a].append(range_percent)
        else:
            min_list.append(0)
            max_list.append(0)
            mean_list.append(0)
            stdDev_list.append(0)
            for m in range(len(data_range_use)):
                prepare_list['range_percent_list_%s' % m].append(0)


if __name__ == '__main__':

    start = datetime.datetime.now()
    print(start)

    list_name = []
    min_list, mean_list, max_list, stdDev_list = [], [], [], []

    data_range = [[i / 10, (i + 2) / 10] for i in range(60)]
    data_range_use = [data_range[i] for i in range(len(data_range)) if (i % 2 == 0)]
    data_range_end = [[6, 100]]
    data_range_use.extend(data_range_end)

    prepare_list = {}  # 定义空字典


    def test_list_pre():
        prepare_list = locals()  # 返回prepare_list中当前位置每个字典里的全部局部变量（也就是键）


    for l in range(len(data_range_use)):
        prepare_list['range_percent_list_' + str(l)] = []

    slice_name = []
    rootpath = g.diropenbox()
    print(rootpath)


    for i in os.listdir(rootpath):
        print(os.path.join(rootpath, i))
        slice_name.append(i)
        t = Table(os.path.join(rootpath, i))
        t.get_data()

    data0 = {'slice_name': slice_name,
             'Min': min_list,
             'Max': max_list,
             'Mean': mean_list,
             'StdDev': stdDev_list,
             }

    data1 = {}

    for b in range(len(data_range_use)):
        k = '%s-%s' % (data_range_use[b][0], data_range_use[b][1])
        v = prepare_list['range_percent_list_%s' % b]
        data1.update({k: v})

    data = {}
    data.update(data0)
    data.update(data1)

    # print(data)

    csv_file = open('%s—2.csv' % rootpath.split("\\")[-1], 'w', newline='')
    writer = csv.writer(csv_file)

    table_head = ['slice_name', 'Min', 'Max', 'Mean', 'StdDev']
    table_head1 = [('%s-%s' % (data_range_use[i][0], data_range_use[i][1])) for i in range(len(data_range_use))]
    table_head.extend(table_head1)
    # print(table_head)

    writer.writerow(table_head)
    for ii in range(len(data['Min'])):
        writer.writerow([data[m][ii] for m in table_head])

    csv_file.close()
    print('the data has been saved!')
    stop = datetime.datetime.now()
    print(stop)
    time = (stop - start).seconds
    print("Total time (min):%s" % round((time / 60), 2))

处理结果如下表：