lumbar | Modular javascript build tool
kandi X-RAY | lumbar Summary
kandi X-RAY | lumbar Summary
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Top functions reviewed by kandi - BETA
- If there are no files we want to output them later
- Get the path scope for the given mixins
- Watch a file .
- Generate source for the included module .
- Loads the given template file .
- Wraps resources in the context
- handle all files
- merge CSS resources
- Function to output a list of modules
- Build the base map
lumbar Key Features
lumbar Examples and Code Snippets
Community Discussions
Trending Discussions on lumbar
QUESTION
I have data like this:
...ANSWER
Answered 2022-Feb-25 at 16:07A few things to resolve here:
- find a way to convert
levels...#
to one of theC
/T
/... categories; - produce logic to infer based on presence of groups.
I think the first can be done by extracting the number and using findInterval
to determine with of C
/T
/... each column belongs to. From there, we can do some simple c_across
to find "any" in a group, and case_when
to get your Level
labels.
QUESTION
That's my JSON:
...ANSWER
Answered 2022-Jan-03 at 11:51Use the array filter method.
QUESTION
I have more than 1000 XML files that probably have the same structure. I want to create a database using data in all the files. I have never known how an XML file looked before yesterday. With the help of Google, I tried using the r-packages to load a single XML file in RStudio. But when I'm trying to convert that into a data frame, an error is occurring.
This is how file looks like: File A
...ANSWER
Answered 2021-Dec-31 at 10:26You cannot directly convert XML
file to a dataframe
. You'll need to fetch the tags and data inside those tags and then create the dataframe
.
Here's the code that will do the trick:
QUESTION
I have the following document for which I need to do mapping for elasticsearch
...ANSWER
Answered 2021-May-18 at 07:35There is no need to specify any particular mapping for array values.
If you will not define any explicit mapping, then the rows
field will be dynamically added as of the text
data type
There is no data type that is defined for arrays in elasticsearch. You just need to make sure that the rows
field contains the same type of data
Adding a working example with index data, search query, and search result
Index Mapping:
QUESTION
I want to scrape a website which has a list of products and each product has a specific page with more data. I wanted to do it using MAP ASYNC + PROMISE.ALL instead of FOR-OF, however I couldn't make it Work properly.
Working sample with for-of:
...ANSWER
Answered 2021-Mar-22 at 18:31The problem is that your code is going in (pseudo) parallel. So they are stepping into each other. You can fixing it by creating a new page on each call:
QUESTION
I have a data set that I want to run a number of univariate regressions with 20 variables or so. Listed below is a truncated data frame showing just two of the variables of interest (Age and Anesthesia). The regression works fine but the issue I am running into is how to store the data. Since Age has only coefficient but Anesthesia has >4 and the error I get is:
...ANSWER
Answered 2021-Mar-13 at 06:01Filling the dataframe in a loop is not a good idea and it can be inefficient. Moreover, summary.glm(logistic.model)$coefficients
returns more than 1 row hence you get the error. Try using this lapply
approach.
QUESTION
I have a json
coming back from an API that I am appending to a list. After I finish making that call I need to flatten that data using pandas. I'm not sure how to do.
Code:
...ANSWER
Answered 2021-Jan-05 at 18:35- Because the desired result is for the data from each
dict
in the'icdcodes'
key
to have a separate row, the best option is to usepandas.json_normalize
. - First create the main dataframe and use
pandas.DataFrame.explode('icdcodes')
, which will expand the dataframe to have the appropriate number of rows for each'clientid'
based on the number ifdicts
in'icdcodes'
. - Use
.json_normalize()
on the'icdcodes'
column, which is alist
ofdicts
, where some thevalues
may also bedicts
. .join
the two dataframes and drop the'icdcodes'
column- Use
pandas.DataFrame.rename()
to rename columns, andpandas.DataFrame.drop()
to drop unneeded columns, as necessary. - Also see this answer from SO: Splitting dictionary/list inside a Pandas Column into Separate Columns
QUESTION
The purpose
For university research I try to process data of clinical studies publicly available here.
For reproducibility, I would like to directly use the downloaded JSON or XML files (and not to retrieve the data via the web API, which has been described: how-to-get-data-out-of-nested-xml-structure).
Update 1: The structure of the JSON file is published here
Update 2: The structure of the XML file is published here
Update 3:I think tidyjson::read_json and
tidyjson::spread_all
do the trick! See the answer section.
What I need
For my workflow, I need to convert the data to data.frames (tidy data.frames would be even better). I prefer JSON, hoever, if there was a solution for the XML format I would be very glad.
Test data
A nested list that I generated of one of the downloaded JSON files with jsonlite::fromJSON("NCT0455805.json")
ANSWER
Answered 2021-Feb-28 at 16:05The package tidyjson
works perfectly:
It is imortant to read the JSON file directly with tidyjson::read_json to get the right format (tbl_json (S3: tbl_json/tbl_df/tbl/data.frame)
for further processing.
QUESTION
I am making a GUI using PyQt5 that displays data in table. I want to get the item at a specific cursor position when 'Right-Click" is pressed. This is achieved using the contextMenuEvent function and works for all rows except the last. When clicking the last row of the table, it prints "None" instead of the QTableWidgetItem Object.
I'm confused as to why its returning None when it should return the last QTableWidgetItem.
I've tried tinkering with the event.pos() and changing it to globalPos(), thinking maybe the coordinates are wrong, but nothing has worked.
...ANSWER
Answered 2021-Jan-25 at 09:20event.pos()
contains the position of your cursor in your QMainWindow
coordinate system. The method itemAt
expects a position in the coordinate system of your table viewport.
You have to map the position in your event to the right coordinate system with something like that:
QUESTION
I'm having trouble debugging why I can't drop columns in my python file, whereas in my notebook I can drop the columns from my dataframe just fine.
Here is my code for my notebook:
...ANSWER
Answered 2021-Jan-06 at 13:27When using print(pd.json_normalize(api_list).columns)
I found out that requesturl was not the correct name of the column. Once I changed that it ran.
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