改进该matlab代码使语言中不包含import numpy as np：% 导入所需模块 import matlab.io.* import openpyxl.* import numpy as np % 初始化参数 answer = []; b_values = 250:1:359; % 计算每个 b 值下的 y 值，并存储到 answer 列表中 for i = 1:length(b_values) b = b_values(i); y = 0.0; x0 = 0.2; for j = 1:100 y = b/100 * x0 * (1 - x0); x0 = y; end answer = [answer, y]; end % 将 answer 列表转换成 NumPy 数组 answer = np.array(answer); % 将数据转换成二维数组形式 data = zeros(100, 110); for i = 1:length(b_values) data(:, i) = answer((i-1)*100+1:i*100); end % 将数据写入 Excel 表格 filename = 'data.xlsx'; if exist(filename, 'file') == 2 delete(filename); end xlswrite(filename, data);

以下是修改后的代码：

% 导入所需模块
fileObj = matfile('data.mat', 'Writable', true);
wb = openpyxl.Workbook();
ws = wb.active;

% 初始化参数
answer = [];
b_values = 250:1:359;

% 计算每个 b 值下的 y 值，并存储到 answer 列表中
for i = 1:length(b_values)
b = b_values(i);
y = 0.0;
x0 = 0.2;
for j = 1:100
y = b/100 * x0 * (1 - x0);
x0 = y;
end
answer = [answer, y];
end

% 将 answer 列表转换成数组
answer = reshape(answer, [100, 110]);

% 将数据写入 mat 文件
fileObj.data = answer;

% 将数据写入 Excel 表格
for i = 1:size(answer, 2)
col = letter(i);
colRange = strcat(col, '1:', col, '100');
data = answer(:, i);
ws.Range(colRange).Value = data;
end
save('data.mat', 'answer');

% 保存 Excel 表格
wb.save('data.xlsx');

% 辅助函数
function col = letter(num)
% 将数字转换成 Excel 列字母
letters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ';
if num <= 26
col = letters(num);
else
first = floor((num - 1) / 26);
second = mod(num - 1, 26) + 1;
col = strcat(letters(first), letters(second));
end
end