mETL | ETL tool | Data Migration library

by ceumicrodata Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | mETL Summary

mETL is a Python library typically used in Migration, Data Migration applications. mETL has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

mETL is an ETL tool which has been especially designed to load elective data necessary for CEU. Obviously, the program can be used in a more general way, it can be used to load practically any kind of data. The program was written in Python, taking into maximum consideration the optimal memory usage after having assessed the Brewery tool’s capabilities.

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Quality

Security

License

Reuse

Support

mETL has a low active ecosystem.

It has 154 star(s) with 38 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 15 have been closed. On average issues are closed in 89 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mETL is current.

Quality

mETL has 0 bugs and 0 code smells.

Security

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

mETL code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mETL 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

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Returns a list of supported types
Checks if the value is acceptable
Load the target
Set the log file
Compile the statement into the given compiler
Convert an instruction into a callable
Run an instruction
Creates a new InstructionStatistic
This method sets the resource attribute of the spreadsheet
Update the spreadsheet with the given resource
Returns a list of all the records in the spreadsheet
Split the branch into two branches
Transform a field
Expand the fields of the record
Checks if a record has been filtered
Finalizes the results
Convert value to date
Generate a clone of the given record
Execute the given insert
Returns True if the record matches the filter
Sets the target resource
Called after opening the target
Gets all records from the reader
Transform field value according to idx
Return an OptionParser
Returns True if the record has been filtered

Get all kandi verified functions for this library.

mETL Key Features

No Key Features are available at this moment for mETL.

mETL Examples and Code Snippets

No Code Snippets are available at this moment for mETL.

Community Discussions

Trending Discussions on mETL

Why the plot is not stacked bar in python(pandas)?

Geom_density bin width

How to make plots scales the same or trun them into Log scales in ggplot

QUESTION

Why the plot is not stacked bar in python(pandas)?

Asked 2018-Apr-15 at 15:32

I have metled a data using pd.melt function in pandas and pivoted the table keeping the name and year as id. Then I have got the table which I want. But, while ploting the graph, its not proper(means I am not getting what I want). The below is the code which gives the work done so far.

I have prefered to do this method since i have other variable with same name and years.(may be some other method exists)

But I want the graph something like, having bars representing 'Estimated Number of Pregnacies' for each state(including all india) over the years as side by side bars.

How to achieve this? ...

ANSWER

Answered 2018-Apr-15 at 15:32

Here's a minimal example of what you are doing. Hope this gives you some hint:

Source https://stackoverflow.com/questions/49843461

QUESTION

Geom_density bin width

Asked 2017-Aug-04 at 18:22

I have a data frame:

...

ANSWER

Answered 2017-Aug-04 at 18:22

There is only one observation on the Y chromosome, which means that the density at that point is exactly 1.00. Since the density for the other chromosomes is on the order of 10^-4 for most of the range of min_dist, it looks like a flat line at density = 0 and a spike to density = 1 at min_dist = 500. You can see this by adding + facet_wrap(~chrom, scales = "free_y").

Source https://stackoverflow.com/questions/45513024

QUESTION

How to make plots scales the same or trun them into Log scales in ggplot

Asked 2017-Jan-03 at 14:30

I am using this script to plot chemical elements using ggplot2 in R:

...

ANSWER

Answered 2017-Jan-03 at 14:30

It is not clear what you mean by "the same" because that will not give you the same result as log transforming the values. Here is how to get the log transformation, which, when combined with the no using free_x will give you the plot I think you are asking for.

First, since you didn't provide any reproducible data (see here for more on how to ask good questions), here is some that gives at least some of the features that I think your data has. I am using tidyverse (specifically dplyr and tidyr) to do the construction:

Source https://stackoverflow.com/questions/41435535

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

Vulnerabilities

No vulnerabilities reported

Install mETL

As a traditional Python package, installation can the most easily be carried out with the help of the following command int he mELT directory:.
XCode
Macports

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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