Thanks a lot for your detailed description. 在2021年11月14日星期日 UTC+8 05:48:46<[email protected]> 写道：
> I have added a section to the docstring of the command to cover how to > install it and bind it to a key, button, or menu . The update is available > on the latest 6.6 branch, in scripts.leo. > > On Saturday, November 13, 2021 at 11:44:15 AM UTC-5 [email protected] > wrote: > >> First, you need to install the command. To do that, copy the node from >> scripts.leo to myLeoSettings.leo under the *@settings* tree and name the >> node @command plot-2d-clipboard (you can name it anything you want). >> After restarting Leo (or maybe after only reloading settings, I'm not sure >> about that), you will have the command available. >> >> After you have data in the clipboard, you need to invoke the command. >> That would be ALT-X plot-2d-clipboard. That will plot the data. The >> node that you were on when you pressed CTRL-B probably didn't actually have >> a script. That is all right - you just didn't need to use CTRL-B because >> you already had the data in the clibpoard. Once the data is in the >> clipboard, it will be plotted by invoking the command and you don't need to >> run a script. If the selected node has a *[labels]* section, then the >> command will use the labels that are defined in the section. >> >> You can also connect the command to a button by adding an *@button* node >> for it to myLeoSettings.leo. If you know how to add your own menu items, >> you can also connect the command to one of those with an *@menu* node >> (that is what I have done), or you could bind it to a key by means of the >> *@shortcuts* node in myLeoSettings.leo.. >> >> The only time you would need to run a script in a node is when you want >> to compute the data and then plot it. The script should end by copying the >> data to the clipboard. Here is a complete example of creating data, >> converting it to a string, and copying the data string to the clipboard. >> After executing the node with CTRL-B, you need to invoke the plotting >> command to actually plot it. >> >> import pyperclip >> >> x = range(10) >> y = [z**2 for z in x] >> >> result = '\n'.join([f'{xx} {yy}' for xx, yy in zip(x, y)]) >> pyperclip.copy(result) >> >> @ >> [labels] >> title = Example Plot >> >> I have attached the plot I got from this node as a .png file. >> >> You can even make this node plot itself by adding the following line >> after the data is copied to the clipboard: >> >> c.k.simulateCommand('plot-2d-clipboard') >> >> With this line, when you press CTRL-B, the curve will be computed, >> converted to the right string format, and plotted. >> >> Remember - the "@" before the *[labels]* section is needed to prevent >> Leo from trying to execute that section (which it cannot do since it is not >> python code). Any text following the "@" line will be ignored by the >> CTRL-B command. If you do not include a section like that, you do not need >> the "@" either. >> >> This is one of those things that are lengthy to explain but very simple >> to actually do. I am finding that I use the plotting command frequently. >> On Saturday, November 13, 2021 at 8:53:30 AM UTC-5 [email protected] >> wrote: >> >>> 1. pip install pyperclip >>> 2. git pull >>> >>> 3. copy example data >>> >>> 4. Ctrl+B >>> >>> return: *no script selected* >>> >>> *Is there anything wrong with my operation?* >>> 在2021年11月12日星期五 UTC+8 上午11:02:04<[email protected]> 写道： >>> >>>> If you have a node that reads or computes some X-Y data, you can add >>>> axis labels and a title to your clipboard plot by protecting the >>>> *[labels]* section with and "@" directive. This causes the following >>>> text to be ignored when the script is executed by CNTL-B of with VR3, but >>>> it does not hide the section from the plot clipboard command. Here is an >>>> example. Let's read annual global surface temperature from a file, then >>>> plot it. The file will contain rows like this: >>>> >>>> 1900 0.395 >>>> 1901 0.438 >>>> # etc. >>>> >>>> The code and the *[labels] *section could look like this: >>>> >>>> import pyperclip >>>> datafile = r'c:\data\sst.txt' >>>> with open(datafile) as file: >>>> data = file.read() >>>> pyperclip.copy(data) >>>> >>>> @ >>>> [labels] >>>> title = Global Surface Temperature Vs Year >>>> xaxis = Year >>>> yaxis = "Global Average Surface Temperature, Deg C. >>>> >>>> When you run this node, say with CTRL-B, the file will be read and its >>>> contents copied to the clipboard. When you invoke the plotting command, >>>> the data in the clipboard will be plotted, and the graph's title and axis >>>> labels will be taken from the *[labels]* section of the node. The "@" >>>> directive prevents the section from being interpreted as code. >>>> On Monday, November 8, 2021 at 8:10:42 PM UTC-5 [email protected] >>>> wrote: >>>> >>>>> I have adapted the code for Viewrendered3's new ability to plot data >>>>> in nodes, and with minor changes it functions as a stand-alone command to >>>>> take data from the clipboard and plot it. So if you get one- or >>>>> two-column >>>>> data into the clipboard you can take a quick look at it. >>>>> >>>>> Here is an example of X-Y data: >>>>> >>>>> 1 1 >>>>> 2 .5 >>>>> 3 -6 >>>>> # comment >>>>> ; comment >>>>> >>>>> 4 -16 >>>>> 5 -2 >>>>> 6 5 >>>>> 7 10 >>>>> >>>>> Non-numeric lines are ignored except for special configuration >>>>> sections, so you can copy a large range of data sources and plot them >>>>> instantly. You could also do some computation in a node that you run >>>>> with >>>>> CTRL-B, and add a few lines to format it and copy it to the clipboard. I >>>>> have found that ability to be very useful while I've developed code. The >>>>> script is very flexible and robust (so far as I know, anyway). >>>>> >>>>> You do need to install *pyperclip* (for getting the clipboard), and >>>>> *matplotlib* to do the actual plotting - you probably have it >>>>> installed already. You could change the script to use Leo's own clipboard >>>>> code or some other clipboard package; I just happen to like pyperclip >>>>> and >>>>> think it's easy to use. >>>>> >>>>> As of this evening, the script is in *scripts.leo* in the *devel* >>>>> branch, under a new node with the headline *Plots and Graphs*. More >>>>> information and usage details are in the docstring of the script, and the >>>>> new *Help for plot-2d* menu item in VR3 is very applicable since the >>>>> code is largely the same. >>>>> >>>> -- You received this message because you are subscribed to the Google Groups "leo-editor" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/leo-editor/36bac9ec-1e41-4eda-8523-c5c644bef1efn%40googlegroups.com.
