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]. 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