plot textdata with NaN
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How to assign a zero to a NaN data in a infinitely long text data
how to plot a infitely long text data which contain NaN?
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John fredson
2022 年 5 月 18 日
1 件のコメント
Walter Roberson
2022 年 5 月 18 日
plot(t_death,d_tracked,'r-')
both of those variables are string arrays. What would it mean to plot one against the other?
Perhaps you want to categorical() and scatter()?
Walter Roberson
2022 年 5 月 18 日
Give up on reading the file that way. Use readable() instead.
0 件のコメント
KSSV
2022 年 5 月 18 日
T = readtable('https://in.mathworks.com/matlabcentral/answers/uploaded_files/1002155/owid-covid-data_2020-21.csv');
plot(T.Date,T.TotalCases)
2 件のコメント
KSSV
2022 年 5 月 18 日
Read csv fille into Table using readtable. Go through this function. It works well. As an example, check how I am plotting India data alone from the table.
T = readtable('https://in.mathworks.com/matlabcentral/answers/uploaded_files/1002155/owid-covid-data_2020-21.csv');
idx = strcmp(T.Location,'India') ; % get indices of India
T1 = T(idx,:) ; % data for India alone
plot(T1.Date,T1.TotalCases,'r')
hold on
plot(T1.Date,T1.TotalDeaths,'b')
legend('Total cases','TotalDeath')
title('India')
John fredson
2022 年 5 月 19 日
6 件のコメント
Voss
2022 年 5 月 19 日
I plotted TotalCases vs DaysTracked, like you did.
How should Continent be taken into account?
Walter Roberson
2022 年 5 月 19 日
T = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1002155/owid-covid-data_2020-21.csv', 'VariableNamingRule', 'preserve');
G = findgroups(T.Continent);
hold on
splitapply(@(dt, tc, cont) plot(dt, tc, 'DisplayName', cont(1)), T.('Days Tracked'), T.('Total Cases'), string(T.Continent), G);
hold off
xlim auto; ylim auto
legend show
Why do there appear to be a lot more than 6 lines? Well, you have a number of different locations within each continent, and each one of those has a full range of days tracked, so when you put the data for all those locations together as one line, the days information keeps resetting.
If this is not the output you were looking for, then you should be more specific. For example were you wanting to total over all locations within each continent ?
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