In GNUPLOT, I would like to plot 5 values on a single bar chart, separated with some spacing in between. If I have data formatted as such:
3342336, 3375103, 7110653, 32770, 0
where those 5 values are the y-values, how can I specify the x-values myself for where they should belong?
For example, I would like my bar chart to have each entry be of length 1,
so I plot y-value 3342336 at x-value 1,
y-value 3375103 at x-value 3,
y-value 7110653 at x-value 5,
y-value 32770 at x-value 7,
and y-value 0 at x-value 9.
I would appreciate any example code that can achieve this. Thanks.
If your data is in one row as shown, you can achieve this by using the plot for syntax looping over the column index, and calculating the x value from that index. We can grab the column by using the column function which retrieves the specified column number.
set boxwidth 1
set datafile separator comma # only if data is comma separated
plot for [i=1:5] (2*i-1):(column(i)) with boxes
If we need to ensure the same line type is used each time, we can explicitly state it in the plot command.
plot for [i=1:5] (2*i-1):(column(i)) with boxes lt 1
Additionally, if a key is to be generated, and we don't wish each plot statement to generate one, we can test for and only give a nonempty title on the first iteration (an empty title is treated the same as no title).
plot for [i=1:5] (2*i-1):(column(i)) with boxes lt 1 title (i==1)?"Title":""
If your data is separated into rows as is the normal format, this can be obtained a different way.
Gnuplot has several pseuduocolumns (see help pseudocolumns for details). In your case, column 0 is of interest. Column 0 gives the line number of the data starting at 0. Thus to get sequential odd numbers like that, you can use 2*$0+1.
For example, if your data (stored in datafile.txt) looks like
3342336
3375103
7110653
32770
0
and you wish to plot boxes of length 1 at those values, you can do
set boxwidth 1
plot "datafile.txt" u (2*$0+1):1 with boxes
Related
I am learning graphical analysis using R. Here is the code, which I can not understand.
barplotVS <- barplot(table(mtcarsData$vs), xlab="Type of engine")
text(barplotVS,table(mtcarsData$vs)/2,table(mtcarsData$vs),cex=1.25)
The output is like below. I can not understand the function of text(), I googled the text() function, which shows that the parameter of text(x,y) is numeric vectors of coordinates where the text labels should be written. Can anyone tell me what is barplotVS,table(mtcarsData$vs)/2,table(mtcarsData$vs),cex=1.25 in my code.
barplotVS <- barplot(table(mtcarsData$vs), xlab="Type of engine")
print(barplotVS)
outputs:
[,1]
[1,] 0.7
[2,] 1.9
These are the positions where the center of the bars in the barplot are on the x axis.
print(table(mtcarsData$vs))
outputs:
0 1
18 14
the numbers below are the occurrences of each value that is present in mtcarsData$vs and the numbers above are the actual value that is counted.
When you run the function:
text(barplotVS,table(mtcarsData$vs)/2,table(mtcarsData$vs),cex=1.25)
the first value will be the x positions where to put the labels (i.e. 0.7 and 1.9), the second parameter will be the y positions set in this case to total counts divided by two (i.e. 9 and 7) meaning to put the labels halfway in the bars, the third will be the labels (i.e. 18 and 14) and finally cex is a value that allows to change the size of the font.
Anyway R has in general a good documentation that you can call by using the ? operator (as suggested in the comments). In order to understand try to run the code and check what each variable contains with print or str functions. If you use a IDE (e.g. RStudio) have the content of the variables in a graphical panel so you don't event need to print.
I have an data.frame, compare the X and Y axes, and then I get N results, and I need to generate a graphic, be ggcorplot or correlationplot, but I wanted to make a filter for the chart, where only values above 0 will be included in the graph
I have already tried ,
dataCorrealtion[dataCorrelation > 0] <- ""
but the graph doesn't accept an empty value, and I can't put a fake value
I hope to be able to generate a graph without values that are less than 0
I have the following basic code. The first line sums p along dimension 1 to create a 1 x column array. The next line plot A. Unfortunately, it seems that Julia assumes it must plot many lines (in this case just points) along dimension 2.
A = sum(p,dims = 1)
plot(A)
So, my question is, how can I plot a simple line when the data is in a 1 x column array?
I assume you use Plots.jl. The following is from Plots.jl's documentation.
If the argument [to plot] is a "matrix-type", then each column will map to a series, cycling through columns if there are fewer columns than series. In this sense, a vector is treated just like an "nx1 matrix".
The number of series plot(a) tries to plot is the number of columns in a.
To get a single series, you can do one of the followings
plot(vec(a)) # `vec` will give you a vector view of `a` without an allocation
plot(a') # or `plot(transpose(a))`. `transpose` does not allocate a new array
plot(a[:]) # this allocates a new array so you should probably avoid it
I have a data file with 3 column and I want to plot with 2 of them. But I want to use the third with a condition to exclude or not the line from the plot (For example, if $3 < 10 the data line isn't valid). I know there is set datafile missing but this case is somewhat peculiar and I don't know how to do that. Any help is appreciated...
You can use conditional logic in the using expression in the plot command:
plot 'data.dat' u 1:($3 < 10 ? 1/0 : $2)
This command plots 1/0 (it skips that data point) if the value in the third column is < 10, and otherwise plots the value in the second column.
Is there a way to get quantmod to draw a square line chart?
I've tried modifying my time series so that each data point is replicated one second before the next datapoint (hoping this would approximate a square line), but quantmod seems to data on the x axis sequentially & evenly spaces without regard to the actually values of x (i.e. the horizontal space between one point an the next is the same whether the delta-T is 1 second or 1 minute).
I suppose I could convert my timeseries from a sparse to a dense one (one entry per second instead of one entry per change in value), but this seems very kludgy and should be unnecessary.
I'm constructing my time series thus:
library(quantmod)
myNumericVector <- c(3,7,2,9,4)
myDateTimeStrings <- paste("2011-10-31", c("5:26:00", "5:26:10", "5:26:40", "5:26:50", "5:27:00"))
myXts <- xts(myNumericVector, order.by=as.POSIXct(myDateTimeStrings))
And drawing the chart like so:
chartSeries(myXts, type="line", show.grid="true", theme=chartTheme("black"))
To illustrate what I have vs. what I want, the result looks like the blue line below but I'd like something more like the green:
Also, for the curious, here is the code that replicates points in the time series such that the gap between one value and the next are as small as possible:
mySquareDateTimes <- rep(as.POSIXct(myDateTimeStrings),2)[-1]
mySquareDateTimes[seq(2,8,by=2)] <- mySquareDateTimes[seq(2,8,by=2)] - 1
mySquareXts <- xts(rep(myNumericVector,each=2)[-10], order.by=mySquareDateTimes)
chartSeries(mySquareXts, type="line", show.grid="true", theme=chartTheme("black"))
The results are less than ideal.
You want a line.type of "step":
chartSeries(myXts, line.type="s")
See ?plot, specifically "type" under ... in the Arguments section (you may want "S" instead of "s").