dataset | darija < - > english dataset | Dictionary library

by darija-open-dataset Python Version: Current License: Non-SPDX

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

kandi X-RAY | dataset Summary

dataset is a Python library typically used in Utilities, Dictionary applications. dataset has no bugs, it has no vulnerabilities and it has low support. However dataset build file is not available and it has a Non-SPDX License. You can download it from GitHub.

darija <-> english dictionary

Support

Quality

Security

License

Reuse

Support

dataset has a low active ecosystem.

It has 132 star(s) with 57 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 4 have been closed. On average issues are closed in 47 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dataset is current.

Quality

dataset has no bugs reported.

Security

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

License

dataset has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

dataset has no build file. You will be need to create the build yourself to build the component from source.

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

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dataset Key Features

No Key Features are available at this moment for dataset.

dataset Examples and Code Snippets

No Code Snippets are available at this moment for dataset.

Community Discussions

Trending Discussions on dataset

Why is this printing twice to my console?

Xarray (from grib file) to dataset

Run a dynamic SQL query from a store procedure to populate a GridView

In R, how can I change many select (binary) columns in a dataframe into factors?

how to calculate model accuracy in rstudio for logistic regression

How to print ggplot for multiple tables in this case?

Coalescing multiple chunks of columns with the same suffix in names (R)

Convert .txt file to .csv , where each line goes to a new column and each paragraph goes to a new row

Find proportion of times each character(A,B,C,D) occurs in each column of a list which has 3 datasets

Check Graph Reciprocity using Pandas

QUESTION

Why is this printing twice to my console?

Asked 2021-Jun-16 at 02:48

I am running the following in my React app and when I open the console in Chrome, it is printing the response.data[0] twice in the console. What is causing this?

...

ANSWER

Answered 2021-Jun-16 at 02:48

You have included fetching function in the component as it is, so it fires every time component being rendered. You better to include fetching data in useEffect hook just like this:

Source https://stackoverflow.com/questions/67995505

QUESTION

Xarray (from grib file) to dataset

Asked 2021-Jun-16 at 02:36

I have a grib file containing monthly precipitation and temperature from 1989 to 2018 (extracted from ERA5-Land).

I need to have those data in a dataset format with 6 column : longitude, latitude, ID of the cell/point in the grib file, date, temperature and precipitation.

I first imported the file using cfgrib. Here is what contains the xdata list after importation:

...

ANSWER

Answered 2021-Jun-16 at 02:36

Here is the answer after a bit of trial and error (only putting the result for tp variable but it's similar for t2m)

Source https://stackoverflow.com/questions/67963199

QUESTION

Run a dynamic SQL query from a store procedure to populate a GridView

Asked 2021-Jun-16 at 01:31

I have a dynamic query that adds WHERE clauses according to the parameters received:

...

ANSWER

Answered 2021-Jun-15 at 23:39

I found the answer with the following lines of code:

Source https://stackoverflow.com/questions/67993827

QUESTION

In R, how can I change many select (binary) columns in a dataframe into factors?

Asked 2021-Jun-15 at 23:13

I have a dataset with many columns and I'd like to locate the columns that have fewer than n unique responses and change just those columns into factors.

Here is one way I was able to do that:

...

ANSWER

Answered 2021-Jun-15 at 20:29

Here is a way using tidyverse.

We can make use of where within across to select the columns with logical short-circuit expression where we check

the columns are numeric - (is.numeric)
if the 1 is TRUE, check whether number of distinct elements less than the user defined n
if 2 is TRUE, then check all the unique elements in the column are 0 and 1
loop over those selected column and convert to factor class

Source https://stackoverflow.com/questions/67992978

QUESTION

how to calculate model accuracy in rstudio for logistic regression

Asked 2021-Jun-15 at 22:26

How do you calculate the model accuracy in RStudio for logistic regression. The dataset is from Kaggle.

...

ANSWER

Answered 2021-Jun-15 at 21:39

use the package ML metrics

Source https://stackoverflow.com/questions/67993693

QUESTION

How to print ggplot for multiple tables in this case?

Asked 2021-Jun-15 at 22:10

I have this code which prints multiple tables

...

ANSWER

Answered 2021-Jun-15 at 20:59

So, this is a good opportunity to use purrr::map. You are half way there by applying code to one dataframe.

You can take the code that you have written above and put it into a function.

Source https://stackoverflow.com/questions/67992308

QUESTION

Coalescing multiple chunks of columns with the same suffix in names (R)

Asked 2021-Jun-15 at 20:10

I have a dataset with various "chunks" of columns with different prefixes, but the same suffix:

ID A034 B034 C034 D034 A099 B099 A123 B123 ... 1 NA 1 NA NA NA 3 1 NA ... 2 2 NA NA NA 2 NA NA 2 ... 3 NA NA 2 NA NA 2 1 NA ...

The number of columns within each "chunk" also varies. Is there any way (other than manually, which is what I have been painstakingly doing with coalesce(!!! select(., contains("XXX")))) to automatically coalesce by chunk based on the shared suffix? That is, the result should resemble

ID 034 099 123 ... 1 1 3 1 ... 2 2 2 2 ... 3 2 2 1 ...

I'm not sure how to begin doing something like this, so any suggestions would be very helpful.

...

ANSWER

Answered 2021-Jun-15 at 20:10

We reshape the data into 'long' format with pivot_longer, then we group by 'ID' and loop across the other columns, apply the na.omit to remove the NA elements (we assume that there is only one non-NA per each column by group)

Source https://stackoverflow.com/questions/67992781

QUESTION

Convert .txt file to .csv , where each line goes to a new column and each paragraph goes to a new row

Asked 2021-Jun-15 at 19:08

I am relatively new in dealing with txt and json datasets. I have a dialogue dataset in a txt file and i want to convert it into a csv file with each new line converted into a column. and when the next dialog starts (next paragraph), it starts with a new row. so i get data in format of

...

ANSWER

Answered 2021-Jun-15 at 19:08

A CSV file is a list of strings separated by commas, with newlines (\n) separating the rows.

Due to this simplistic layout, it is often not suitable for containing strings that may contain commas within them, for instance dialogue.

That being said, with your input file, it is possible to use regex to replace any single newlines with a comma, which effectively does the "each new line converted into a column, each new paragraph a new row" requirement.

Source https://stackoverflow.com/questions/67990813

QUESTION

Find proportion of times each character(A,B,C,D) occurs in each column of a list which has 3 datasets

Asked 2021-Jun-15 at 19:00

I have a list (dput() below) that has 4 datasets.I also have a variable called 'u' with 4 characters. I have made a video here which explains what I want and a spreadsheet is here.

The spreadsheet is not exactly how my data looks like but i am using it just as an example. My original list has 4 datasets but the spreadsheet has 3 datasets.

Essentially i have some characters(A,B,C,D) and i want to find the proportions of times each character occurs in each column of 3 groups of datasets.(Check video, its hard to explain by typing it out)

...

ANSWER

Answered 2021-Jun-09 at 19:00

We can loop over the list 'l' with lapply, then get the table for each of the columns by looping over the columns with sapply after converting the column to factor with levels specified as 'u', get the proportions, transpose, convert to data.frame (as.data.frame), split by row (asplit - MARGIN = 1), then use transpose from purrr to change the structure so that each column from all the list elements will be blocked as a single unit, bind them with bind_rows

Source https://stackoverflow.com/questions/67909583

QUESTION

Check Graph Reciprocity using Pandas

Asked 2021-Jun-15 at 18:22

I have a Graph loaded in pandas and I want to check if my graph has nodes with reciprocity. My dataset looks like this:

id from to 0 s01 s03 1 s02 s01 2 s03 s01

The desired output of my code is the reciprocal nodes: (s01, s03)

I found a solution transforming my dataframe into tuples and comparing each combination of my nodes, but I'm sure this solution is far from ideal. Following is my code:

...

ANSWER

Answered 2021-Jun-15 at 18:22

You can merge the DataFrame with itself after swapping the from and to columns in the right DataFrame. Then sort the merged result and drop duplicates to get the unique pairs of reciprocal nodes.

Source https://stackoverflow.com/questions/67991543

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

Vulnerabilities

No vulnerabilities reported

Install dataset

You can download it from GitHub.
You can use dataset like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

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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