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by aranavtiwari JavaScript Version: Current License: No License

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kandi X-RAY | WA Summary

WA is a JavaScript library. WA has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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Support

WA has a low active ecosystem.

It has 11 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

WA has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of WA is current.

Quality

WA has no bugs reported.

Security

WA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

WA does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

WA releases are not available. You will need to build from source code and install.

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WA Key Features

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WA Examples and Code Snippets

No Code Snippets are available at this moment for WA.

Community Discussions

Trending Discussions on WA

How to Insert Image based on the ComboBox text?

Weighted Mean as a Column in Pandas

Combine dataframe in python but avoid duplicates

Print Element to Email Body Issue Python Selenium SMTPLIB

Application crashes once after I call MAPIUninitialize api

Execute some JS after function with recursion

How to build boost as shared libraries for Android

Collapsing dataframe based on id, storing multiple values for variables into lists

output base64 image in html nodemailer

QUESTION

How to Insert Image based on the ComboBox text?

Asked 2021-Jun-15 at 15:35

I have tried to write the vba code for inserting and changing the image inside the user form in excel but I was not able to insert as well as to change the image based on the combo box, To insert the value in combo box I have added the row source as shown in the image ( List of fruits) and to insert the images I have kept in particular folder which you can find in my program.

pl. can anybody correct me in this program or help me to get this solved so that I can get the image in the image box of the user form.

I have tried with below program

...

ANSWER

Answered 2021-Jun-15 at 15:35

Try these two

Source https://stackoverflow.com/questions/67988328

QUESTION

MySQL: Copy related records from other tables after copying "parent" record

Asked 2021-Jun-12 at 13:13

In my app, I have a stored procedure that copies rows based on a time interval.

...

ANSWER

Answered 2021-Jun-12 at 13:13

You need to use the copied_wo column to join my_table with itself so you can get related_doc_id from the my_relations row linked to the original row in my_table.

Source https://stackoverflow.com/questions/67942968

QUESTION

Weighted Mean as a Column in Pandas

Asked 2021-Jun-11 at 22:42

I am trying to add a column with the weighted average of 4 columns with 4 columns of weights

...

ANSWER

Answered 2021-Jun-11 at 19:55

A straight-forward and simple way to do is as follows:

(Since your columns name for the weights are not consistently named, e.g. some with 's' and some without, some with capital 'W' and some with lower case 'w', it is not convenient to group columns e.g. by .filter())

Source https://stackoverflow.com/questions/67942576

QUESTION

Combine dataframe in python but avoid duplicates

Asked 2021-Jun-10 at 17:22

I have two dataframes, df1, and df2. I am joining on two different column names. For some reason when I perform this join, the result creates exponential duplicated rows. How would I avoid this. I am using outer join.

Data

df1

...

ANSWER

Answered 2021-Jun-10 at 17:15

Create a temp column t with groupby/cumcount and just use that column for the merge.

Source https://stackoverflow.com/questions/67925579

QUESTION

Print Element to Email Body Issue Python Selenium SMTPLIB

Asked 2021-Jun-10 at 01:13

Im really stuck here. Ive learnt how to use Selenium to scrape a price and in the above example it is for a fuel / gas / petrol website. I can get the price to print in my Terminal:

print("Best Petrol Price in Perth today is:", elem.text)

Though I am stuck in how to reference that price into the body of an email - Im using smtplib and Gmail. Credentials redacted and emails replaced with dummyholders.

...

ANSWER

Answered 2021-Jun-10 at 01:13

I you want to include the price into the email, may want to try using f string :

Source https://stackoverflow.com/questions/67913178

QUESTION

Application crashes once after I call MAPIUninitialize api

Asked 2021-Jun-09 at 11:08

So, I have been working with MAPI API's. In that Whenever I call the MAPIUninitialize api, my application crashes. on further debugging, I found that, IMAPISession::OpenMsgStore is the reason behind the crash, whenever the OpenMsgStore function is executed during the program runtime, my app crashes exactly after the MAPIUninitialize is triggered. which is similar to the discussion in this thread mentioned below, in which soln is not available.

https://peach.ease.lsoft.com/scripts/wa-PEACH.exe?A2=MAPI-L;e6f3847a.0801&S=

I have checked my program for memory leaks, and I'm sure there is none and also, if i comment that particular api, my program doesnt crash, i dont understand the reason for the crash. I have tried all possible alternatives. Can anyone help on this ?

...

ANSWER

Answered 2021-May-24 at 16:00

It mostly likely means you still have live MAPI objects. It is also possible that the sequence of MAPIInitialize / MAPIUninitialize is too quick and the common Office run-time is still (asynchronously) initializing when you attempt to shut it down.

Also, not all stores are created equal - IMAP4 is probably the worst.

Source https://stackoverflow.com/questions/67673740

QUESTION

Execute some JS after function with recursion

Asked 2021-Jun-07 at 17:40

I'm having a problem executing a piece of js after a function with recursion. I tried so many ways, I can't figure how this can be done. I imagine it must be pretty simple.

This is what i what to execute after the recursion:

...

ANSWER

Answered 2021-Jun-07 at 17:40

I believe adding condition to check whether the cycle is over and calling the callback after that should do:

Source https://stackoverflow.com/questions/67875120

QUESTION

How to build boost as shared libraries for Android

Asked 2021-Jun-07 at 07:22

I successfully compiled boost 1.70 for Android armeabiv7a with NDK r21b.

I used user-config.jam:

...

ANSWER

Answered 2021-Jun-07 at 07:22

By looking where a "ld.exe" was present in C:\Android\android_sdk\ndk-bundle\toolchains\llvm folder, I found some under C:\Android\r21a_Qt5_14\android_sdk\ndk-bundle\toolchains\llvm\prebuilt\windows-x86_64\\bin so I concluded that target platform was probably missing.

I added:

Source https://stackoverflow.com/questions/67834326

QUESTION

Collapsing dataframe based on id, storing multiple values for variables into lists

Asked 2021-Jun-05 at 20:30

I have a data frame in which I have an id variable fruit in the example. For some of the other variables, there is only one corresponding value to each id variable taste, ranking while for others, there are multiple color,origin.

I would like to collapse the data frame so that each id variable has one row. For the variables that have multiple values, I could ideally store them as a list.

However, I can't figure out a way to do this. Here is what I tried using summarise and unique for the variables with multiple values. However, I just got back the original data:

...

ANSWER

Answered 2021-Jun-05 at 19:34

We can use summarise with across, store the unique elements in a list after doing a grouping by the columns of interest

Source https://stackoverflow.com/questions/67853174

QUESTION

output base64 image in html nodemailer

Asked 2021-Jun-02 at 16:51

I am trying to send out an email with node mailer, and it is sending the email, but I am trying to use an image in there, a base64 image. I've converted the image to base64, and done this:

...

ANSWER

Answered 2021-Jun-02 at 16:51

var base64 = `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`
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Thank you "

Source https://stackoverflow.com/questions/67809286

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Vulnerabilities

No vulnerabilities reported

Install WA

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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