When the mouse pointer hovers over the name of a function created in my code a box pops up in the editor with information about that function. However, if the function is in a package nothing happens. For example, if the mouse pointer hovers over the word "DataFrame" in the second line of the code below no box with info pops up. This is not specific to package DataFrames.
using DataFrames
DataFrame(:A => [0])
In VSCode Settings the following is set:
Editor > Hover:Delay
200
Editor > Hover:Enabled
Checked
The IDE is Visual Studio Code version 1.71.2 and the OS is Windows 11. The programming language is Julia, version 1.8.1.
It used to work, something changed, I do not know what.
Any hints on why this is happening?
I believe I found the solution. I created a function that adds a package to the environment. It has the package name as its single argument.
function load_package(package_name::String; used = true, report = true)
str_ui = used ? "Using " : "Importing "
report && println(str_ui * "package $package_name")
if used
eval(Meta.parse("using $package_name"))
end
eval(Meta.parse("import $package_name"))
end
It works fine. The package is loaded. For example,
load_package("DataFrames")
does (almost) the same thing as
using DataFrames
The only difference is that Visual Code does not seem to notice that the package was loaded when the package is loaded with the loaded_package function but it does notice it when the package is loaded with the using command.
So to fix the problem I had to load my packages with using and import comands. After doing that the tooltips became visible upon hovering over the function names.
The reason I was using the function load_packages was to load sets of packages whose names were in string vectors.
I try to import data from twinCAT into matlab for analyzing.
I have tried it with the code:
Tb = readtable('LogTestScopeView1.csv');
But that didn't work. I guess the header of a twinCAT csv-file is a bit more complicated.
Have someone experience with this?
Already many thanks.
This might depend on the header configuration you choose in the TwinCAT Scope Export Wizard. E.g. when choosing "Name only header" the readtable() command worked fine for me. Also, I selected "Comma" as CSV-Separator and "Point" as Decimal mark (see this
Measurement Export Wizard screenshot)
If you just need to quickly analyze the data and don't need code to automate this process, you can also use Matlab's import tool (Home -> Import Data), where you can interactively select the data to import.
Is there any shortcut that will allow me to auto generate my typescript imports? Like hitting ctrl+space next to the type name and having the import declaration placed at the top of the file. If not, what about intellisense for filling out the module reference path so that I wont have to do it manually? I would really love to use vscode but having to do manual imports for typescript is killing me.
There are rumors of making it support tsconfig.json (well, better than rumors). This will allow us to be able to use all files for our references.
Your feature would be to create an auto import of all commonly used 3rd party libs into the typings. Perhaps auto scan the files and create a list of ones to go gather. Wouldn't it be fine to just have a quick way to add several of these using tsd directly from Code (interactively)?
I believe the plugin called "TypeScript Importer" does exactly what You mean: https://marketplace.visualstudio.com/items?itemName=pmneo.tsimporter .
Automatically searches for TypeScript definitions in workspace files and provides all known symbols as completion item to allow code completion.
With it You can truly use Ctrl+Space to choose what exactly You would like to be imported.
You can find and install it from Ctrl+Shift+X menu or just by pasting ext install tsimporter in Quick Open menu opened with Ctrl+P.
I know a solution for Visual Studio (not Visual Studio Code, I'm using the 2015 Community edition, which is free), but it needs some setup and coding -- however, I find the results to be adequate.
Basically, in Visual Studio, when using the Web-Essentials extension, .ts files can be dragged into the active document to automatically generate a relative reference path comment:
/// <reference path="lib/foo.ts" />
With which of course we might as well wipe it, because it's an import statement we need, not a reference comment.
For this reason, I recently wrote the following command snippet for Visual Commander, but it should be easily adaptable to other use casese as well. With Visual Commander, your drag the needed imports into the open document, then run the following macro:
using EnvDTE;
using EnvDTE80;
using System.Text.RegularExpressions;
public class C : VisualCommanderExt.ICommand
{
// Called by Visual Commander extension.
public void Run(EnvDTE80.DTE2 DTE, Microsoft.VisualStudio.Shell.Package package)
{
TextDocument doc = (TextDocument)(DTE.ActiveDocument.Object("TextDocument"));
var p = doc.StartPoint.CreateEditPoint();
string s = p.GetText(doc.EndPoint);
p.ReplaceText(doc.EndPoint, this.ReplaceReferences(s), (int)vsEPReplaceTextOptions.vsEPReplaceTextKeepMarkers);
}
// Converts "reference" syntax to "ES6 import" syntax.
private string ReplaceReferences(string text)
{
string pattern = "\\/\\/\\/ *<reference *path *= *\"([^\"]*)(?:\\.ts)\" *\\/>";
var regex = new Regex(pattern);
var matches = Regex.Matches(text, pattern);
return Regex.Replace(text, pattern, "import {} from \"./$1\";");
}
}
When running this snippet, all reference comments in the active document will be replaced with import statements. The above example is converted to:
import {} from "./lib/foo";
This has just been released in version 1.18.
From the release notes:
Auto Import for JavaScript and TypeScript
Speed up your coding with auto imports for JavaScript and TypeScript. The suggestion list now includes all exported symbols in the current project. Just start typing:
If you choose one of the suggestion from another file or module, VS Code will automatically add an import for it. In this example, VS Code adds an import for Hercules to the top of the file:
Auto imports requires TypeScript 2.6+. You can disable auto imports by setting "typescript.autoImportSuggestions.enabled": false.
The files attributes in the tsconfig.json file allows you to set your reference imports in your whole project. It is supported with Visual Studio Code, but please note that if you're using a specific build chain (such as tsify/browserify) it might not work when compiling your project.
I'm trying to write a macro to save preferences and read them after closing and reopening ImageJ.
The saving works, but the macro isn't reading the file. Moreover when I try to use one of these two lines an error occurs that the variable "Prefs" is unknown.
int myNumber = Prefs.get("my.persistent.number", 0);
Prefs.savePreferences();
What am I doing wrong? please help me :-)
The ImageJ macro language itself does not support storing custom preferences. (Only the set of built-in options (accessible via Edit > Options in the menu) can be saved, restored and adjusted.) You need to resort to calling the Java class via call("ij.Prefs.get", "my.persistent.number", "0");.
The following ImageJ macro works in an up-to-date Fiji/ImageJ installation:
myNumber = call("ij.Prefs.get", "my.persistent.number", "0");
print(myNumber);
call("ij.Prefs.set", "my.persistent.number", 3);
In the first run, it prints 0; every following run will print 3; after restarting Fiji, it will print 3 again. In case it does not work for you even after updating to the newest version, please report a bug via Help > Report a bug, which will also submit essential information about your installation to the developers to help them fix the issue.
Using one of the many scripting languages however, you can access the ij.Prefs java class directly, as you are trying to do it. Just do not forget to import the class before using it. This is an example Javascript:
importClass(Packages.ij.Prefs);
myNumber = Prefs.get("my.persistent.number", 0);
Prefs.set("my.persistent.number", myNumber);
Hope that helps.
I have seen a few of the talks by iPython developers about how to convert an ipython notebook to a blog post, a pdf, or even to an entire book(~min 43). The PDF-to-X converter interprets the iPython cells which are written in markdown or code and spits out a newly formatted document in one step.
My problem is that I would like to generate a large document where many of the figures and sections are programmatically generated - something like this. For this to work in iPython using the methods above, I would need to be able to write a function that would write other iPython-Code-Blocks. Does this capability exist?
#some pseudocode to give an idea
for variable in list:
image = make_image(variable)
write_iPython_Markdown_Cell(variable)
write_iPython_Image_cell(image)
I think this might be useful so I am wondering if:
generating iPython Cells through iPython is possible
if there is a reason that this is a bad idea and I should stick to a 'classic' solution like a templating library (Jinja).
thanks,
zach cp
EDIT:
As per Thomas' suggestion I posted on the ipython mailing list and got some feedback on the feasibility of this idea. In short - there are some technical difficulties that make this idea less than ideal for the original idea. For a repetitive report where you would like to generate markdown -cells and corresponding images/tables it is ore complicated to work through the ipython kernel/browser than to generate a report directly with a templating system like Jinja.
There's a Notebook gist by Fernando Perez here that demonstrates how to programmatically create new cells. Note that you can also pass metadata in, so if you're generating a report and want to turn the notebook into a slideshow, you can easily indicate whether the cell should be a slide, sub-slide, fragment, etc.
You can add any kind of cell, so what you want is straightforward now (though it probably wasn't when the question was asked!). E.g., something like this (untested code) should work:
from IPython.nbformat import current as nbf
nb = nbf.new_notebook()
cells = []
for var in my_list:
# Assume make_image() saves an image to file and returns the filename
image_file = make_image(var)
text = "Variable: %s\n" % (var, image_file)
cell = nbf.new_text_cell('markdown', text)
cells.append(cell)
nb['worksheets'].append(nbf.new_worksheet(cells=cells))
with open('my_notebook.ipynb', 'w') as f:
nbf.write(nb, f, 'ipynb')
I won't judge whether it's a good idea, but if you call get_ipython().set_next_input(s) in the notebook, it will create a new cell with the string s. This is what IPython uses internally for its %load and %recall commands.
Note that the accepted answer by Tal is a little deprecated and getting more deprecated: in ipython v3 you can (/should) import nbformat directly, and after that you need to specify which version of notebook you want to create.
So,
from IPython.nbformat import current as nbf
becomes
from nbformat import current as nbf
becomes
from nbformat import v4 as nbf
However, in this final version, the compatibility breaks because the write method is in the parent module nbformat, where all of the other methods used by Fernando Perez are in the v4 module, although some of them are under different names (e.g. new_text_cell('markdown', source) becomes new_markdown_cell(source)).
Here is an example of the v3 way of doing things: see generate_examples.py for the code and plotstyles.ipynb for the output. IPython 4 is, at time of writing, so new that using the web interface and clicking 'new notebook' still produces a v3 notebook.
Below is the code of the function which will load contents of a file and insert it into the next cell of the notebook:
from IPython.display import display_javascript
def make_cell(s):
text = s.replace('\n','\\n').replace("\"", "\\\"").replace("'", "\\'")
text2 = """var t_cell = IPython.notebook.get_selected_cell()
t_cell.set_text('{}');
var t_index = IPython.notebook.get_cells().indexOf(t_cell);
IPython.notebook.to_code(t_index);
IPython.notebook.get_cell(t_index).render();""".format(text)
display_javascript(text2, raw=True)
def insert_file(filename):
with open(filename, 'r') as content_file:
content = content_file.read()
make_cell(content)
See details in my blog.
Using the magics can be another solution. e.g.
get_ipython().run_cell_magic(u'HTML', u'', u'<font color=red>heffffo</font>')
Now that you can programatically generate HTML in a cell, you can format in any ways as you wish. Images are of course supported. If you want to repetitively generate output to multiple cells, just do multiple of the above with the string to be a placeholder.
p.s. I once had this need and reached this thread. I wanted to render a table (not the ascii output of lists and tuples) at that time. Later I found pandas.DataFrame is amazingly suited for my job. It generate HTML formatted tables automatically.
from IPython.display import display, Javascript
def add_cell(text, type='code', direct='above'):
text = text.replace('\n','\\n').replace("\"", "\\\"").replace("'", "\\'")
display(Javascript('''
var cell = IPython.notebook.insert_cell_{}("{}")
cell.set_text("{}")
'''.format(direct, type, text)));
for i in range(3):
add_cell(f'# heading{i}', 'markdown')
add_cell(f'code {i}')
codes above will add cells as follows：
#xingpei Pang solution is perfect, especially if you want to create customized code for each dataset having several groups for instance. However, the main issue with the javascript code is that if you run this code in a trusted notebook, it runs every time the notebook is loaded.
The solution I came up with is to clear the cell output after execution. The javascript code is stored in the output cell, so by clearing the output the code is gone and nothing is left to be executed in the trusted mode again. By using the code from here, the solution is the code below.
from IPython.display import display, Javascript, clear_output
def add_cell(text, type='code', direct='above'):
text = text.replace('\n','\\n').replace("\"", "\\\"").replace("'", "\\'")
display(Javascript('''
var cell = IPython.notebook.insert_cell_{}("{}")
cell.set_text("{}")
'''.format(direct, type, text)));
# create cells
for i in range(3):
add_cell(f'# heading{i}', 'markdown')
add_cell(f'code {i}')
# clean the javascript code from the current cell output
for i in range(10):
clear_output(wait=True)
Note that the clear_output() needs the be run several times to make sure the output is cleared.
As a slight update incorporating Tal's answer above, updates from Chris Barnes and a little digging in the nbformat docs, the following worked for me:
import nbformat
from nbformat import v4 as nbf
nb = nbf.new_notebook()
cells = [
nbf.new_code_cell(f"""print("Doing the thing: {i}")""")
for i in range(10)
]
nb.cells.extend(cells)
with open('generated_notebook.ipynb', 'w') as f:
nbformat.write(nb, f)
You can then start up the new artificial notebook and cut-n-paste cells where ever you need them.
This is unlikely to be the best way to do anything, but it's useful as a dirty hack. 🐱💻
This worked with the following versions:
Package Version
-------------------- ----------
ipykernel 5.3.0
ipython 7.15.0
jupyter 1.0.0
jupyter-client 6.1.3
jupyter-console 6.1.0
jupyter-core 4.6.3
nbconvert 5.6.1
nbformat 5.0.7
notebook 6.0.3
...
Using the command line goto the directory where the myfile.py file is located
and execute (Example):
C:\MyDir\pip install p2j
Then execute:
C:\MyDir\p2j myfile.py -t myfile.ipynb
Run in the Jupyter notebook:
!pip install p2j
Then, using the command line, go the corresponding directory where the file is located and execute:
python p2j <myfile.py> -t <myfile.ipynb>