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data-transfer-project | Data Transfer Project makes | Dataset library

 by   google Java Version: v0.3.64 License: Apache-2.0

 by   google Java Version: v0.3.64 License: Apache-2.0

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kandi X-RAY | data-transfer-project Summary

data-transfer-project is a Java library typically used in Artificial Intelligence, Dataset applications. data-transfer-project has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub, Maven.
The Data Transfer Project makes it easy for people to transfer their data between online services. We provide a common framework and ecosystem to accept contributions from service providers to enable seamless transfer of data into and out of their service.
Support
Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • data-transfer-project has a medium active ecosystem.
  • It has 3320 star(s) with 366 fork(s). There are 183 watchers for this library.
  • There were 2 major release(s) in the last 6 months.
  • There are 108 open issues and 121 have been closed. On average issues are closed in 198 days. There are 11 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of data-transfer-project is v0.3.64
This Library - Support
Best in #Dataset
Average in #Dataset
This Library - Support
Best in #Dataset
Average in #Dataset

quality kandi Quality

  • data-transfer-project has 0 bugs and 0 code smells.
This Library - Quality
Best in #Dataset
Average in #Dataset
This Library - Quality
Best in #Dataset
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securitySecurity

  • data-transfer-project has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • data-transfer-project code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
This Library - Security
Best in #Dataset
Average in #Dataset
This Library - Security
Best in #Dataset
Average in #Dataset

license License

  • data-transfer-project is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
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This Library - License
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buildReuse

  • data-transfer-project releases are available to install and integrate.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • It has 35007 lines of code, 2582 functions and 648 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
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This Library - Reuse
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Top functions reviewed by kandi - BETA

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

  • Imports a batch of photos .
  • Parse a person from a resource
  • Performs a single copy iteration .
  • Process a job .
  • Imports multiple video items .
  • Convert a VCard to a Model .
  • Inserts the given social activity .
  • Create a new upload session URL
  • Converts a post activity to an activity model .
  • Export photos to a container

data-transfer-project Key Features

The Data Transfer Project makes it easy for people to transfer their data between online service providers. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.

Community Discussions

Trending Discussions on Dataset
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Trending Discussions on Dataset

QUESTION

Replacing dataframe value given multiple condition from another dataframe with R

Asked 2022-Apr-14 at 16:16

I have two dataframes one with the dates (converted in months) of multiple survey replicates for a given grid cell and the other one with snow data for each month for the same grid cell, they have a matching ID column to identify the cells. What I would like to do is to replace in the first dataframe, the one with months of survey replicates, the month value with the snow value for that month considering the grid cell ID. Thank you

CellID <- c(1,2,3,4,5,6)
sampl1 <- c("oct", "oct", "oct", "nov", NA, NA)
sampl2 <- c("nov", "nov", "jan", NA, NA, NA)
sampl3 <- c("dec", "dec", "jan", NA, NA, NA)
df1 <- data.frame(CellID, sampl1, sampl2, sampl3)
print(df1)

CellID <- c(1,2,3,4,5,6)
oct <- c(0.1, 0.1, 0.1, 0.1, 0.1, 0.1)
nov <- c(0.4, 0.5, 0.4, 0.5, 0.6, 0.5)
dec <- c(0.6, 0.7, 0.8, 0.7, 0.6, 0.8)
df2 <- data.frame(CellID, oct, nov, dec)
print(df2)

CellID <- c(1,2,3,4,5,6)
sampl1_snow <- c(0.1, 0.1, 0.1, 0.5, NA, NA)
sampl2_snow <- c(0.4, 0.5, 0.9, NA, NA, NA)
sampl3_snow <- c(0.6, 0.7, 1, NA, NA, NA)
df3 <- data.frame(CellID, sampl1_snow, sampl2_snow, sampl3_snow)
print(df3)

ANSWER

Answered 2022-Apr-14 at 14:50
df3 <- df1
df3[!is.na(df1)] <- df2[!is.na(df1)]
#   CellID sampl1 sampl2 sampl3
# 1      1    0.1    0.4    0.6
# 2      2    0.1    0.5    0.7
# 3      3    0.1    0.4    0.8
# 4      4    0.1   <NA>   <NA>
# 5      5   <NA>   <NA>   <NA>
# 6      6   <NA>   <NA>   <NA>

Source https://stackoverflow.com/questions/71873315

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

Vulnerabilities

No vulnerabilities reported

Install data-transfer-project

You can download it from GitHub, Maven.
You can use data-transfer-project like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the data-transfer-project component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

Please contact dtp-discuss@googlegroups.com with any questions or comments.

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