flatxml | Tools for working with XML files as R dataframes
kandi X-RAY | flatxml Summary
kandi X-RAY | flatxml Summary
flatxml is a R library typically used in Utilities applications. flatxml has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
flatxml provides functions to easily deal with XML files. When parsing an XML document with fxml_importXMLFlat, flatxml produces a special dataframe that is 'flat' by its very nature but contains all necessary information about the hierarchical structure of the underlying XML document (for details on the dataframe see the reference for the fxml_importXMLFlat function). flatxml offers a set of functions to work with this dataframe. Apart from representing the XML document in a dataframe structure, there is yet another way in which flatxml relates to dataframes: the fxml_toDataFrame and fxml_toXML functions can be used convert XML data to dataframes and vice versa.
flatxml provides functions to easily deal with XML files. When parsing an XML document with fxml_importXMLFlat, flatxml produces a special dataframe that is 'flat' by its very nature but contains all necessary information about the hierarchical structure of the underlying XML document (for details on the dataframe see the reference for the fxml_importXMLFlat function). flatxml offers a set of functions to work with this dataframe. Apart from representing the XML document in a dataframe structure, there is yet another way in which flatxml relates to dataframes: the fxml_toDataFrame and fxml_toXML functions can be used convert XML data to dataframes and vice versa.
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Quality
Security
License
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Support
flatxml has a low active ecosystem.
It has 21 star(s) with 3 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 1 have been closed. On average issues are closed in 11 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of flatxml is current.
Quality
flatxml has no bugs reported.
Security
flatxml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
flatxml does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
flatxml releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of flatxml
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of flatxml
flatxml Key Features
No Key Features are available at this moment for flatxml.
flatxml Examples and Code Snippets
No Code Snippets are available at this moment for flatxml.
Community Discussions
Trending Discussions on flatxml
QUESTION
Iterating Properly with Custom Function in R
Asked 2020-Oct-28 at 18:48
## for individual files
input_files <- list.files("U:/tmp", pattern = "[.]xml")
out <- list()
# loop for reading input and writing an output
for(i in 1:length(input_files)){
df0 <- fxml_importXMLFlat(input_files[i])
df1 <- fxml_toDataFrame(df0, siblings.of=1, elem.or.attr="elem",col.attr = elem.)
}
...ANSWER
Answered 2020-Oct-28 at 18:48you have quite a few options really
- you can use the
magic_for
library
init
QUESTION
Converting a nested XML document to a data frame, when information is both in attribute and text nodes
Asked 2019-Mar-11 at 19:26
Background:
I have an XML document with the following structure:
...ANSWER
Answered 2019-Mar-11 at 19:26Consider binding attributes with the internal method, xmlAttrsToDataFrame
, and elements with xmlToDataFrame
, assuming only one set of user and sibling tags per record.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install flatxml
You can download it from GitHub.
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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