I have the latest OneNote on Windows 10. I'm trying to create a list of all my Pages in all the Notebooks. One line per Page, showing it's Name, Section and Notebook plus created date. As it's for import into (say) excel, be nice to have it delimited, say with # chars.
Nice Wines#Entertainment#Home Notebook#2021-10-01T06:57:32+10:00
I really only know Python and PowerShell. Is there any sample code you can suggest or another way to get this? Thanks.
I installed this PowerShell module and then another Stack Overflow user helped me get over another hurdle when using it.
Related
I need to share an interactive plot made using the PlotlyJS package in Julia. According to the documentation of the package PlotlyJS.jl, I need to use the "savehtml" function and set "js" argument to ":embed" in order to view it offline (screenshot attached). However, I got an error "UndefVarError: savehtml not defined". Can anyone tell me what may cause this problem?
FYI, the "savefig" function can save the plot into an HTML but the HTML cannot be viewed on other machines.
It is also acceptable if there is another way to save an HTML plot that can be assessed from other machines. The interactive plot is generated by PlotlyJS.jl.
Thanks very much in advance.
This creates a standalone file that can be used on other machines.
However, those other machines need to have access to the internet:
p = PlotlyJS.Plot(sin.(1:0.1:10))
open("f.html","w") do f
PlotlyJS.PlotlyBase.to_html(f, p; include_plotlyjs="cdn", full_html=true)
end
I just checked that this is as far as you can do as of today (version v0.8.18) as there is a bug in the source code of PlotlyBase.
I'm currently familiarizing myself with Google BigQuery by working through the examples at https://cloud.google.com/bigquery/web-ui-quickstart. Doing a query over the pubic datasets runs fine.
I run into problems when uploading custom data into a new table through the WebUI. I create a new dataset and table, and upload the csv file provided with the example case. As in the example I input the schema and submit the file. Now the upload window stays on top and turns grey as if it's working. Nothing seems to happen afterwards though. When clicking away the upload window after a long wait, the table seems to be created in the tree on the left. However, when clicking on the table an error is shown:
"Unable to find table: ndwtest-984:csvtest.csvdata"
This seems like a trivial action, however I cannot seems to get it to work. I've tried varies different files, uploaded the file to Google Cloud Storage first and played around with the advanced options the last two days, but keep getting the same error.
Help would be much appreciated.
Some steps to help you:
billing must be enabled
you need to choose to upload one single TXT file from the example eg: yob2013.txt and not the zip file
make sure the schema is entered as text: name:string,gender:string,count:integer
on the last screen of the wizard you don't need to change the default CSV option parameters (for demo purposes works as it is)
I just tried the example, and it does work for me. In case you still have errors, than you can check your Job History menu in the Web UI, direct link would be, warning you need to put your Id in the link.
https://bigquery.cloud.google.com/jobs/YOUR_ANONYMOUS_PROJECT_ID_HERE?pli=1
So I was using the neo4jrestclient, and I noticed that in the class of QuerySequece, there's a .to_html()function (https://github.com/versae/neo4j-rest-client/blob/master/neo4jrestclient/query.py)
However, when I try using it I get the 'Unable to display the graph or the table' error.
I haven't found a working example of it. I was wondering if anyone has gotten this working.
Much thanks appreciated.
The function .to_html() is a function that IPython uses in order to render rich content inside Notebooks. When running inside a Notebook, neo4jrestclient asks for extra information to the Neo4j server, so it can draw the actual graph returned. Therefore, if you try to run a query inside an IPython Notebook, a D3 graph should be rendered automatically.
from neo4jrestclient.client import GraphDatabase, Node, Relationship
gdb = GraphDatabase(url="http://localhost:7474")
gdb.query("MATCH (me)-[r]-() RETURN me, r LIMIT 10")
A running example can be seen in this gist. Although it's still a work in progress. I think that I could add an option to populate the needed fields in case you wanted to use the .to_html() outside the IPython Notebook. All you need to do is to make neo4jrestclient believe that it's running inside of one by modifying the function neo4jrestclient.utils.in_ipnb() making it to always return True. Let me know if you would use that feature and I will add it.
On the other hand, I am developing ipython-cypher, to have a better integration of IPython, Pandas, NetworkX, and matplotlib with Neo4j, but it's still in alpha.
Update: Now you can add data_contents=True to return the extra data.
results = gdb.query(query, data_contents=True)
Data will be in results.rows and results.graph.
firstly I'll give some background regarding the situation.
I have a website containing approximately 56k pages each page contain a mapped sketch of a machine part. this machine part is made out of smaller parts which are outlined in the image and hold a certain number. when you hover over the numbers a box with the part item code shows up.
I order parts according to this item codes but recently a lot of the items codes have changed, therefore I am looking for a solution.
now I own a database with data on all the 56k parts and I want to link the relevant webpage to each record according to the name of the part(a column in my database), the problem is that the webpages names has no logic name that could connect with the part name in any way but the image that is displayed in the page has the exact name of the part.
I want to rename all the html files I has according to the Images displayed within them. how can I achieve that without renaming all the 56k pages manually?
additionally how can I add the links to all the 56k pages automatically to my database after all the above is done?
Thank you for your patience I know it was long.
If you have a *nix shell, then a simple egrep will get you far
egrep "<img src=\".*\"" -r . > list
The regexp would have to be adapted to match the part you are looking for of course.
You could easily to some search/replace in the resulting list to create a batch script that will do all the renaming for you.
Pick your favorite scripting language and parse each html file to find the image name to use in renaming the file. Personally I would use Perl as it makes parsing the files and updating a database at the same time with the URL easy.
I'm doing a project in Java which creates a user manual (html files that are linked together like Windows "Help and support centre") of software. Now once a user manual is created I have only html files remaining. Now I want to search html file that contains specified keyword(Search Engine).How can I do this without Java code??
grep, find, python script, or open any file with a text editor and try edit->search
(on windows use windows search in file)
If all of your other code is written in java, then it'll be sensible (without knowing your usecase) to use java for searching as well. You might of course use some commandline programs as grep or find - or built in search functionality in a webbrowser, but if the search should be part of a java application anyway, why not go for java and e.g. Lucene?
If this 'help' is going to be online than you can embed google search in it (limiting the search results to specified site:). Alternatively if you're hosting the pages yourself you can use htdig for indexing the pages.
However if it's going to offilne you'll be better of by generating a static index page with links to topics. In order to create a more help-system-alike user experience you can hide the contents of the index in the invisible html DIV tags and add a JavaScript that takes searched phrase as an input and that unhides the matched words with their links.
Maybe I'm missing something, but have you looked at javahelp? It has indexing and searching built in, and can be used online or offline.