Extract Min, Max and mean values for each month of each respective year. (Excel Data)
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Using the daily temperature data I would like to be able to extract mean monthly temperature, extreme minimum monthly temperature (the coldest temperature of the month), and extreme maximum monthly temperature (the hottest temperature of the month).
For example, for the month of January, I would like to be able to values the min, max and mean for each year.
I would please like an example shown for january then I will proceed
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Antworten (3)
Walter Roberson
am 22 Nov. 2019
One of the easier ways is to readtable() and convert to timetable() object, and use retime()
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Erivelton Gualter
am 22 Nov. 2019
%% Initialize variables.
filename = 'temptable.csv';
delimiter = ',';
startRow = 3;
%% Format for each line of text:
formatSpec = '%f%f%f%f%C%f%s%f%C%[^\n\r]';
%% Open the text file.
fileID = fopen(filename,'r');
%% Read columns of data according to the format.
dataArray = textscan(fileID, formatSpec, 'Delimiter', delimiter, 'TextType', 'string', 'EmptyValue', NaN, 'HeaderLines' ,startRow-1, 'ReturnOnError', false, 'EndOfLine', '\r\n');
%% Close the text file.
fclose(fileID);
%% Create output variable
temptable = table(dataArray{1:end-1}, 'VariableNames', {'Year','Month','Day','MaxTempC','MaxTempFlag','MinTempC','MinTempFlag','MeanTempC','MeanTempFlag'});
%% Clear temporary variables
clearvars filename delimiter startRow formatSpec fileID dataArray ans;
%% HERE YOU CAN ADD A FOR LOOP AND GET THE INFO FOR OTHER MONTHS
i=1; % January
idx_months = find(temptable.Month == i);
meanmonthly = mean(temptable(idx_months,:).MeanTempC(~isnan(temptable(idx_months,:).MeanTempC)));
minmonthly = min(temptable(idx_months,:).MeanTempC(~isnan(temptable(idx_months,:).MeanTempC)));
maxmonthly = max(temptable(idx_months,:).MeanTempC(~isnan(temptable(idx_months,:).MeanTempC)));
2 Kommentare
Erivelton Gualter
am 22 Nov. 2019
You are right. It was misshing the year.
Change the following line:
idx_months = find(temptable.Month == i & temptable.Year == 1977);
The results correspond to Janury 1997.
Andrei Bobrov
am 22 Nov. 2019
Bearbeitet: Andrei Bobrov
am 22 Nov. 2019
Please run file MATLABAnswer.m
MATLABAnswer.m:
T = readtable('Path\to\your\file\temptable.csv','Delimiter',',',...
'HeaderLines',1);
T = fillmissing(T(:,[1:3,4:2:end-1]),'linear'); % for NaNs
Tout = rowfun(@funanswer,T,'InputVariables',4:6,'GroupingVariables',1:2,...
'OutputVariableNames',{'max_monthly','min_monthly','mean_monthly'});
function [a,b,c] = funanswer(x,y,z)
a = max(x);
b = min(y);
c = mean(z);
end
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