udf | Udf filesystem read-only golang library | File Utils library

by mogaika Go Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | udf Summary

udf is a Go library typically used in Utilities, File Utils applications. udf has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

It's all because I has reached requried functional for me.

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Support

udf has a low active ecosystem.

It has 5 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of udf is current.

Quality

udf has 0 bugs and 0 code smells.

Security

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

udf code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

udf is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

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udf Key Features

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udf Examples and Code Snippets

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Community Discussions

Trending Discussions on udf

VBA UDF for LO Calc that takes several arrays as arguments or produces array

Apply function to all columns of a Polars-DataFrame

Passing two date in a Function using udf getting error of df.show() in pyspark (similar to apply function in pandas)

pyspark memory-efficient loop to add indicator columns to dataframe

Spark (Scala) udf to modify map in column of dataframe

Excel VBA - Get Word doc opened in one of many Word instances

Pandas UDF Method __getstate__([]) does not exist error

How UDF function works in pyspark with dates as arguments?

covert dates on multiple string columns - PySpark / Databricks

Calculate the number of records whose values falls into each bin in SPARK

QUESTION

VBA UDF for LO Calc that takes several arrays as arguments or produces array

Asked 2021-Jun-14 at 11:59

I have trouble finding easy examples how to write simple UDF's (user defined functions) for LO Calc, that uses arrays as arguments or gives arrays as output e.g. array functions.

I need simple example UDF that takes array and gives single number as output, like count() function.

I need simple example where UDF that is array function, that takes two arrays and produces array that is Cartesian product of two arrays.

It would be nice if to have a comment for every step.

...

ANSWER

Answered 2021-Jun-14 at 11:59

The simplest UDF for the first case looks like this:

Source https://stackoverflow.com/questions/67955396

QUESTION

Apply function to all columns of a Polars-DataFrame

Asked 2021-Jun-11 at 09:30

I know how to apply a function to all columns present in a Pandas-DataFrame. However, I have not figured out yet how to achieve this when using a Polars-DataFrame.

I checked the section from the Polars User Guide devoted to this topic, but I have not find the answer. Here I attach a code snippet with my unsuccessful attempts.

...

ANSWER

Answered 2021-Jun-11 at 09:30

You can use the expression syntax to select all columns with pl.col("*") and then map the numpy np.log2(..) function over the columns.

Source https://stackoverflow.com/questions/67834912

QUESTION

Passing two date in a Function using udf getting error of df.show() in pyspark (similar to apply function in pandas)

Asked 2021-Jun-10 at 15:45

from pyspark.sql.functions import *
data = [("1","2019-07-01","2019-02-03"),("2","2019-06-24","2019-03-21"),("3","2019-08-24","2020-08-24")]
df=spark.createDataFrame(data=data,schema=["id","date1",'date2'])
df.show()

...

ANSWER

Answered 2021-Jun-10 at 15:44

If you're using Spark SQL functions, you don't need to define a UDF. Just call the function directly, e.g.

Source https://stackoverflow.com/questions/67924129

QUESTION

pyspark memory-efficient loop to add indicator columns to dataframe

Asked 2021-Jun-09 at 14:17

Is there a way to convert the following into code that takes advantage of pyspark parallelization in the for loop?

...

ANSWER

Answered 2021-Jun-09 at 14:17

I solved my problem: I replaced everything within the for loop with:

Source https://stackoverflow.com/questions/67865555

QUESTION

Spark (Scala) udf to modify map in column of dataframe

Asked 2021-Jun-09 at 13:12

I have a dataframe that looks something like this. The tfs column is a map of String to Long and the weights are floats

...

ANSWER

Answered 2021-Jun-09 at 13:12

Use map_from_arrays,map_keys & map_values functions.

Try below code.

Source https://stackoverflow.com/questions/67903819

QUESTION

Excel VBA - Get Word doc opened in one of many Word instances

Asked 2021-Jun-08 at 08:22

I've searched high and low and the following code is the closest I've come to my objective.
This is what I'm working on:
I wrote some code (OK, honestly, mostly copied bits and pieces and pasted into what is probably jumbled code that works) to email documents to my students. If a doc is open, I get and error, which allows me to manually save and close the doc (thx to Debug), and continue on. I would like to automate this, but Word seems to make things a tad difficult by opening each doc in a separate instance. I can get one instance and its doc, but if it is not the one I need, I cannot save and close it. I found how to get the other instances, but I have not found how to check each instance to see if the doc which it opened is the one I want.

I used ZeroKelvin's UDF in (Check if Word instance is running), which I modified a little bit...

...

ANSWER

Answered 2021-Jun-08 at 08:22

You may like to consider controlling the number of instances of the Word application that are created. The function below, called from Excel, will return an existing instance of Word or create a new one only if none existed.

Source https://stackoverflow.com/questions/67854191

QUESTION

Pandas UDF Method __getstate__([]) does not exist error

Asked 2021-Jun-07 at 07:51

I'm using pyspark 2.4.1 and am trying to write a simple function with Pandas UDF shown below. Basically create a new columns and assigning string values based on df.x=='a' and df.y=='t'. However, I keep getting Method __getstate__([]) does not exist error. Here are 2 ways I tried with Pandas UDF and not sure what other ways to write it:

data

...

ANSWER

Answered 2021-Jun-07 at 07:51

I tried with attempt 1 and I am sure this would work with attempt 2 as well.

In your udf, you are returning 3 times and the way it is returned, z is not defined before.

Following function worked for me on spark 2.4.7 and pyarrow==0.13.0

Source https://stackoverflow.com/questions/66711209

QUESTION

How UDF function works in pyspark with dates as arguments?

Asked 2021-Jun-04 at 19:14

I started in the pyspark world some time ago and I'm racking my brain with an algorithm, initially I want to create a function that calculates the difference of months between two dates, I know there is a function for that (months_between), but it works a little bit different from what I want, I want to extract the months from two dates and subtract without taking into account the days, only the month and the year, the point is, I can do this by manipulating base, creating new columns with the months and subtracting , but I want to do this as a UDF function, like below:

...

ANSWER

Answered 2021-Jun-03 at 21:05

I found a solution and upgraded it to handle missings too.

Source https://stackoverflow.com/questions/67827631

QUESTION

covert dates on multiple string columns - PySpark / Databricks

Asked 2021-Jun-04 at 09:44

I'm very very new to Databricks, Spark/PySpark/Python.

I'm evaluating Databricks as part of a project to see it can maniuplate data the way other database tools can. So far i'm so so SO impressed, dataframes and Pandas dataframes are so fast and efficient.

I have a dataset with around 200 variables, 20 of which are dates in a string format yyyyMMdd, i would like to convert them all to actual dates.

I have been able to look through Stack and find a viable candidate which has worked on one variable

...

ANSWER

Answered 2021-Jun-04 at 09:42

You can do the conversion in a for loop:

Source https://stackoverflow.com/questions/67834931

QUESTION

Calculate the number of records whose values falls into each bin in SPARK

Asked 2021-Jun-03 at 10:52

I have dataframe as below:

...

ANSWER

Answered 2021-Jun-03 at 10:52

Using imports

Here is a working solution that builds upon your tries:

Source https://stackoverflow.com/questions/67818438

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

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Install udf

You can download it from GitHub.

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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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