open-data | Enabling corporate transparency by publishing raw datasets | Dataset library

by mattolson Ruby Version: Current License: No License

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kandi X-RAY | open-data Summary

open-data is a Ruby library typically used in Artificial Intelligence, Dataset, Deep Learning applications. open-data has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Enabling corporate transparency by publishing raw datasets

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open-data has a low active ecosystem.

It has 4 star(s) with 2 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

open-data has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of open-data is current.

Quality

open-data has 0 bugs and 0 code smells.

Security

open-data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

open-data code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

open-data does not have a standard license declared.

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

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open-data releases are not available. You will need to build from source code and install.

Top functions reviewed by kandi - BETA

kandi has reviewed open-data and discovered the below as its top functions. This is intended to give you an instant insight into open-data implemented functionality, and help decide if they suit your requirements.

Loads the Rails Rails installed Rails .
Loads the initializer .
Loads the configuration .

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open-data Key Features

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open-data Examples and Code Snippets

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Community Discussions

Trending Discussions on open-data

Databricks Mount Open/Public Azure Blob Store

JSONDecodeError when trying to call REST api in python

How to properly insert mask into original image?

EF core using Async Await pattern throws already an open DataReader error

Can't unlist a XML file after parsing

How do I search and replace using a loop data in 2 data frame?

Installing requests package breaks anaconda installation

Python - Read JSON - TypeError: string indices must be integers

Is there an overlay or join by geometry option on Google Earth Engine?

Why is there such a large difference in memory usage for dataframes between pandas and R?

QUESTION

Databricks Mount Open/Public Azure Blob Store

Asked 2022-Jan-27 at 18:41

Using Microsoft's Open Datasets (here), I'd like to create (external) tables in my Databricks env available for consumption in Databricks SQL env and external (BI tools) to this parquet source.

Bit confused on the right approach. Here's what I've tried.

Approach 1: I've tried to create a mount_point (/mnt/taxiData) to the open/public azure store from which I'd use the normal CREATE TABLE dw.table USING PARQUET LOCATION '/mnt/taxi' using the following python code, however, I get an ERROR: Storage Key is not a valid base64 encoded string.

Note: This azure store is open, public. There is no key, no secret.get required.

...

ANSWER

Answered 2022-Jan-27 at 18:41

For Approach 1, I think that the check is too strict in the dbutils.fs.mount - it makes sense to report this as an error to Azure support.

Approach 2 - it's not enough to create a table, it also needs to discover partitions (Parquet isn't a Delta where partitions are discovered automatically). You can do that with the MSCK REPAIR TABLE SQL command. Like this:

Source https://stackoverflow.com/questions/70883156

QUESTION

JSONDecodeError when trying to call REST api in python

Asked 2022-Jan-19 at 20:09

I am trying to access the opensecrets.org api to get some information on congress members. I am trying to access all rows in the database for each member of congress, which I have in my ID's, and append them to a dataframe for manipulation.

Here's my code:

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ANSWER

Answered 2022-Jan-19 at 20:09

Try to fix headers and use output=json:

Source https://stackoverflow.com/questions/70777028

QUESTION

How to properly insert mask into original image?

Asked 2022-Jan-12 at 17:54

My goal is to cover a face with circular noise (salt and pepper/black and white dots), however what I have managed to achieve is just rectangular noise.

Using this image:

I found the face coordinates (x,y,w,h) = [389, 127, 209, 209] And using this function added noise
Like:

...

ANSWER

Answered 2022-Jan-12 at 16:13

Bitwise opperations function on binary conditions turning "off" a pixel if it has a value of zero, and turning it "on" if the pixel has a value greater than zero.

In your case the bitwise_or "removes" both the black background of the mask and the black points of the noise.

I propose to do it like this:

Source https://stackoverflow.com/questions/70677393

QUESTION

EF core using Async Await pattern throws already an open DataReader error

Asked 2021-Nov-20 at 06:46

So, the error is basically what is mentioned in Entity Framework,There is already an open DataReader associated with this Connection which must be closed first - Stack Overflow

In that context, I understand what's going on and the reason for error based on the explanation.

And then I recently encountered the same error after applying best practice suggested by http://www.asyncfixer.com/

The code is a custom localizer that uses SQL Database as it's store instead of resource files. In brief, it provides a string from db if it's not already cached in memory. In addition, if a string is not in db it adds it to db as well.

The code pieces in question are below (2 methods). For the error to happen the 3 changes must be made to both the methods as in comments related to async await syntax

I would like to know a bit about the internals for this exception with these changes

Method 1

...

ANSWER

Answered 2021-Nov-20 at 06:46

Change #1 is irrelevant, since it's just fixing the Misuse - Longrunning Operations Under async Methods:

We noticed that developers use some potentially long running operations under async methods even though there are corresponding asynchronous versions of these methods in .NET or third-party libraries.

or in simple words, inside async method use library async methods when exist.

The change #2 and #3 though are incorrect. Looks like you are trying to follow the Misuse - Unnecessary async Methods:

There are some async methods where there is no need to use async/await. Adding the async modifier comes at a price: the compiler generates some code in every async method.

However, your method needs async/await, because it contains a disposable scope which has to be kept until the async operation of the scoped service (in this case db context) completes. Otherwise the scope exits, the db context is disposed, and no one can say what happens in case SaveChangesAsync is pending at the time of disposal - you can get the error in question, or any other, it's simply unexpected and the behavior is undefined.

Source https://stackoverflow.com/questions/70035378

QUESTION

Can't unlist a XML file after parsing

Asked 2021-Sep-23 at 13:25

I'm trying to get data from the open-database of fuel price in France. The data are available here and are in a xml format. The variable types (nodes or attribute) can be found here (part 4), or below as a picture.

My issue is, as I parse the data and then convert them as a list, the nodes are no longer considered as such, and so the data become unreadable. Here's the code I used (found here):

...

ANSWER

Answered 2021-Sep-23 at 13:25

Tidying a nested list like this is always an annoying problem. My approach is to build a custom function that works on each element, and then use purrr::map() to tidy each element individually.

I've built a custom function below to get you started. It works on the "instantanee" data from the link you provided, since that's what downloaded fastest. The same principles (and maybe even the same code) should apply to the other data sets.

Here's some code to load the data for the first five gas stations:

Source https://stackoverflow.com/questions/69300030

QUESTION

How do I search and replace using a loop data in 2 data frame?

Asked 2021-Jul-20 at 08:22

For example

I am reading a csv file

...

ANSWER

Answered 2021-Jul-20 at 08:22

You can use a solution using str_replace_all from stringr package.

However, I noticed that keys can have characters which are more than just the country code. For example, there are keys like "BR_PR", "BR_PR_412770" and others. In the country code dataframe you have BR for Brazil and PR for puerto rico. This can be confusing so while matching I have kept only the keys till the 1st underscore so that "BR_PR" matches "BR" and the same with "BR_PR_412770".

Source https://stackoverflow.com/questions/68451534

QUESTION

Installing requests package breaks anaconda installation

Asked 2021-Jul-09 at 01:50

I'm having an issue where when I install the requests package on a fresh anaconda install (onto an environment), it breaks my anaconda in a way where I cannot download any further packages due to an HTTP error.

The process I've gone through a number of times now is:

Uninstall anaconda (using anaconda-clean and add/remove programs)
Re-install anaconda
Run conda update conda on my base environment
Run conda create -n auckland-index python=3.7 to create a new environment
I install pandas with conda install pandas to make sure I can download packages in the new environment
I then run conda install requests to install requests, which downloads and installs successfully
Then when I try to install any other packages I get the below CondaHTTPError across both base and new environments

...

ANSWER

Answered 2021-Jul-09 at 01:50

Issue was caused by PYTHONPATH windows environment variable, once this was deleted problem was solved. Thanks to @merv for help getting there.

Source https://stackoverflow.com/questions/68295395

QUESTION

Python - Read JSON - TypeError: string indices must be integers

Asked 2021-Jun-03 at 12:44

I'm trying to read a json that I created in the script myself. When I try to access one of his "attributes" after reading the following error appears:

...

ANSWER

Answered 2021-Jun-03 at 12:44

The problem is in the line

arquivo_json = json.dumps(registro_json, indent=2, sort_keys=False)

Which according to the documentation, json.dumps "Serializes obj to a JSON formatted str according to conversion table"

In effect, the problem is that you are serializing the registro_json object twice, and ending up with a str. If you remove the offending line and directly pass registro_json to the gravar_arquivo_json function, everything should work.

Updated code:

Source https://stackoverflow.com/questions/67821108

QUESTION

Is there an overlay or join by geometry option on Google Earth Engine?

Asked 2021-May-20 at 08:35

I have a Landsat Image and an image collection (3 images: static in time but each partially overlapping the Landsat image) with one band and want to add this one band to the Landsat image.

In a traditional GIS/python df I would do an Inner Join based on geometry but I can't figure out how this might be carried out on GEE.

Neither the image or the collection share any bands for a simple join. From what I gather a spatial join is similar to a within buffer so not what I need here. I've also tried the Filter.contains() for the join but this hasn't worked. I tried addBands() despite expecting it not to work and it results in TypeError: 'ImageCollection' object is not callable:

...

ANSWER

Answered 2021-May-20 at 08:35

Not 100% sure this is what you're after, but you can simply mosaic() the 3 images into one image, and then combine the two datasets into a new ImageCollection. UPDATE: Use addBands() instead:

Source https://stackoverflow.com/questions/67601701

QUESTION

Why is there such a large difference in memory usage for dataframes between pandas and R?

Asked 2021-Mar-18 at 20:07

I am working with the data from https://opendata.rdw.nl/Voertuigen/Open-Data-RDW-Gekentekende_voertuigen_brandstof/8ys7-d773 (download CSV file using the 'Exporteer' button).

When I import the data into R using read.csv() it takes 3.75 GB of memory but when I import it into pandas using pd.read_csv() it takes up 6.6 GB of memory.

Why is this difference so large?

I used the following code to determine the memory usage of the dataframes in R:

...

ANSWER

Answered 2021-Mar-18 at 20:07

I found that link super useful and figured it's worth breaking out from the comments and summarizing:

Reducing Pandas memory usage #1: lossless compression

Load only columns of interest with usecols

Source https://stackoverflow.com/questions/66670471

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