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?
5 commentaires
Dyuman Joshi
le 15 Mai 2022
What does 'Infinitely long text data' mean? Is the data bounded? Periodic?
You can change the NaN values to zero by
data(isnan(data)=0;
John fredson
le 18 Mai 2022
KSSV
le 18 Mai 2022
Use plot
John fredson
le 18 Mai 2022
KSSV
le 18 Mai 2022
Attach your data nd show us your full code.
Réponses (5)
John fredson
le 18 Mai 2022
1 commentaire
Walter Roberson
le 18 Mai 2022
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
le 18 Mai 2022
0 votes
Give up on reading the file that way. Use readable() instead.
T = readtable('https://in.mathworks.com/matlabcentral/answers/uploaded_files/1002155/owid-covid-data_2020-21.csv');
plot(T.Date,T.TotalCases)
2 commentaires
John fredson
le 18 Mai 2022
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
le 19 Mai 2022
6 commentaires
Walter Roberson
le 19 Mai 2022
The Location in the data is country names such as 'Kenya', not single character codes such as 'E'
John fredson
le 19 Mai 2022
John fredson
le 19 Mai 2022
Your table is T (T1, T2, ...) but sometimes you refer to it as X (X1, X2, ...), but X (X1, X2, ...) is not defined.
T = readtable('owid-covid-data_2020-21.csv');
id_a = strcmp(T.Location,'Afghanistan');
T1 = T(id_a,:) ;
id_A = strcmp(T.Location,'Angola');
T2 = T(id_A,:) ;
plot(T1.DaysTracked, T1.TotalCases,'b-', T2.DaysTracked, T2.TotalCases,'r-')
John fredson
le 19 Mai 2022
Voss
le 19 Mai 2022
I plotted TotalCases vs DaysTracked, like you did.
How should Continent be taken into account?
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 ?
2 commentaires
John fredson
le 20 Mai 2022
Walter Roberson
le 20 Mai 2022
I suggest that you look at groupsummary()
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