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dataFormat.m
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function [data,category_list] = dataFormat(data, period, category_list, cpu, cpu_time)
%% generate required formatted data
delete = [];
for i = 1:size(data,2) - 1
if isempty(data{3,i})
delete = [delete,i];
end
end
data(:,delete) = [];
if exist('cpu','var') == 1 && ~isempty(category_list)
category_list(:,delete) = [];
end
delete = [];
for i = 1:size(data,2) - 1
if size(data{3,i},1) < 20
delete = [delete,i];
end
end
data(:,delete) = [];
if ~isempty(category_list)
category_list(:,delete) = [];
end
% if exist('cpu','var') == 1 && ~isempty(category_list)
% category_list(:,delete) = [];
% end
start = min(data{3,1});
for i = 2:size(data,2)-1
if ~isempty(data{3,i}) && start > min(data{3,i})
start = min(data{3,i});
end
end
for i = 1:size(data,2)-1
end_time = start;
last_index = 0;
departure = data{3,i}+data{4,i}*1000;
[departure,d_index] = sort(departure);
while true
index = find(departure>end_time+period);
if isempty(index)
if isempty(data{6,i})
end
break
else
if index(1)-last_index-1 == 0
data{6,i} = [data{6,i};0];
data{5,i} = [data{5,i};0];
data{1,i} = [data{1,i};end_time+period];
end_time = end_time + period;
else
data{6,i} = [data{6,i};(index(1)-last_index-1)/period*1000];
data{1,i} = [data{1,i};end_time+period];
data{5,i} = [data{5,i};mean(data{4,i}(last_index+1:index(1)-1))];
end_time = end_time + period;
last_index = index(1)-1;
end
end
end
end
max_length = 0;
max_index = 0;
for i = 1:size(data,2)-1
if max_length < size(data{3,i},1)
max_length = size(data{3,i},1);
max_index = i;
end
end
max_length = 0;
max_index = 1;
for i = 2:size(data,2)-1
if max_length < size(data{1,i},1)
max_length = size(data{1,i},1);
max_index = i;
end
end
for i = 1:size(data,2)-1
data{1,i} = data{1,max_index};
if size(data{5,i},1) < size(data{1,i},1)
data{5,i}(end+1:size(data{1,i},1)) = 0;
data{6,i}(end+1:size(data{1,i},1)) = 0;
end
end
data{1,end} = data{1,1};
if exist('cpu','var') == 1
[cpu_time, index] = sort(cpu_time);
cpu = cpu(index);
cpu_time = cpu_time;% - 60*60*1000;
for i = 1:size(data{1,1},1)
index_find = cpu_time >= data{1,1}(i,1) & cpu_time <= data{1,1}(i,1)+period;
data{2,end} = [data{2,end};mean(cpu(index_find))];
end
end
end