if __name__=='__main__'如何在MATLAB中表达

在 MATLAB 中，通常可以使用以下语法来表达相同的逻辑：

if strcmpi(mfilename, 'filename')
    % 这里是主函数的代码
end

其中，`mfilename` 函数会返回当前运行的脚本或函数的文件名。通过将其与主函数的文件名进行比较，可以确定当前是否在主函数中运行。如果是，则执行主函数的代码。

相关问题

function varargout = Gui_Main(varargin) % GUI_MAIN MATLAB code for Gui_Main.fig % GUI_MAIN, by itself, creates a new GUI_MAIN or raises the existing % singleton*. % % H = GUI_MAIN returns the handle to a new GUI_MAIN or the handle to % the existing singleton*. % % GUI_MAIN('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in GUI_MAIN.M with the given input arguments. % % GUI_MAIN('Property','Value',...) creates a new GUI_MAIN or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before Gui_Main_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to Gui_Main_OpeningFcn via varargin. % % *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one % instance to run (singleton)". % % See also: GUIDE, GUIDATA, GUIHANDLES % Edit the above text to modify the response to help Gui_Main % Last Modified by GUIDE v2.5 20-Apr-2011 14:40:49 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @Gui_Main_OpeningFcn, ... 'gui_OutputFcn', @Gui_Main_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []); if nargin && ischar(varargin{1}) gui_State.gui_Callback = str2func(varargin{1}); end if nargout [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end

这是一个MATLAB GUI程序的主函数，它定义了GUI的一些属性和回调函数。

具体功能：

1. 定义了一个结构体gui_State，用于存储GUI的属性和回调函数。

2. 如果有输入参数且第一个参数是字符类型，则将该参数作为回调函数名，并设置gui_State.gui_Callback为该回调函数。

3. 调用MATLAB的gui_mainfcn函数，创建GUI界面。

该函数根据输入参数的不同，可能会有输出参数。如果有输出参数，则返回gui_mainfcn函数的输出参数。

将以下python 代码转换成matlab语言：import pandas as pd def calculate_mixing_degree(target_species, neighbor_species): mixing_sum = 0 species_count = len(set(neighbor_species)) - 1 # 减去目标树的重复 for neighbor in neighbor_species: if target_species != neighbor: # 如果参照树与邻近树非同种 mixing_sum += 1 # 混交度加1 mixing_degree = mixing_sum / species_count if species_count > 0 else 0 # 计算混交度 return mixing_degree def calculate_size_ratio(target_diameter, neighbor_diameters): size_sum = 0 neighbor_count = 0 for neighbor_diameter in neighbor_diameters: if pd.notnull(neighbor_diameter): neighbor_diameters_split = str(neighbor_diameter).split(",") # 将字符串按逗号分隔成列表 for neighbor in neighbor_diameters_split: neighbor = neighbor.strip() # 去除字符串两端的空格 if neighbor != "": neighbor = float(neighbor) if neighbor < target_diameter: size_sum += 1 # 大小比数加1 neighbor_count += 1 size_ratio = size_sum / neighbor_count if neighbor_count > 0 else 0 # 计算大小比数 return size_ratio def main(): data = pd.read_excel(r"C:\Users\23714\Desktop\样地数据.xls") result = [] for index, row in data.iterrows(): tree_number = row["树编号"] target_species = row["树种"] neighbor_species = row["四邻树"].split(",") # 将四邻树字符串按逗号分隔成列表 neighbor_diameters = row[4:].tolist() # 获取从第5列开始的四邻树直径数据，并转换为列表 target_diameter = row["胸径"] mixing_degree = calculate_mixing_degree(target_species, neighbor_species) size_ratio = calculate_size_ratio(target_diameter, neighbor_diameters) result.append({"树编号": tree_number, "树种": target_species, "混交度": mixing_degree, "大小比数": size_ratio}) result_df = pd.DataFrame(result) result_df.to_excel(r"C:\Users\23714\Desktop\结果数据.xls", index=False) if __name__ == '__main__': main()

这是转换成Matlab的代码：

function mixing_degree = calculate_mixing_degree(target_species, neighbor_species)
mixing_sum = 0;
species_count = length(unique(neighbor_species)) - 1; % 减去目标树的重复
for i = 1:length(neighbor_species)
neighbor = neighbor_species(i);
if ~strcmp(target_species, neighbor) % 如果参照树与邻近树非同种
mixing_sum = mixing_sum + 1; % 混交度加1
end
end
mixing_degree = mixing_sum / species_count;
if species_count <= 0
mixing_degree = 0;
end
end

function size_ratio = calculate_size_ratio(target_diameter, neighbor_diameters)
size_sum = 0;
neighbor_count = 0;
for i = 1:length(neighbor_diameters)
neighbor_diameter = neighbor_diameters{i};
if ~isnan(neighbor_diameter)
neighbor_diameters_split = strsplit(neighbor_diameter, ',');
for j = 1:length(neighbor_diameters_split)
neighbor = strtrim(neighbor_diameters_split{j});
if ~isempty(neighbor)
neighbor = str2double(neighbor);
if neighbor < target_diameter
size_sum = size_sum + 1;
end
neighbor_count = neighbor_count + 1;
end
end
end
end
size_ratio = size_sum / neighbor_count;
if neighbor_count <= 0
size_ratio = 0;
end
end

function main()
data = readtable('C:\Users\23714\Desktop\样地数据.xls');
result = {};
for i = 1:height(data)
tree_number = data.树编号(i);
target_species = data.树种{i};
neighbor_species = strsplit(data.四邻树{i}, ',');
neighbor_diameters = data{i, 5:end};
neighbor_diameters = neighbor_diameters(~isnan(neighbor_diameters));
neighbor_diameters = cellfun(@num2str, num2cell(neighbor_diameters), 'UniformOutput', false);
target_diameter = data.胸径(i);
mixing_degree = calculate_mixing_degree(target_species, neighbor_species);
size_ratio = calculate_size_ratio(target_diameter, neighbor_diameters);
result{i} = struct('树编号', tree_number, '树种', target_species, '混交度', mixing_degree, '大小比数', size_ratio);
end
result = [result{:}];
result_df = struct2table(result);
writetable(result_df, 'C:\Users\23714\Desktop\结果数据.xls', 'FileType', 'spreadsheet', 'WriteVariableNames', true, 'Sheet', 'Sheet1');
end

if ~isempty(strfind(version, 'R20'))
main();
else
error('This code requires Matlab R2020 or later.');
end