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.
>>>
>>
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