msr2013-bug_dataset | Mozilla Defect Tracking Dataset contains the bug | Code Editor library

by ansymo Ruby Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | msr2013-bug_dataset Summary

msr2013-bug_dataset is a Ruby library typically used in Editor, Code Editor, Eclipse applications. msr2013-bug_dataset has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The Eclipse and Mozilla Defect Tracking Dataset contains the bug reported for 4 popular products retrieved from both Eclipse and Mozilla. Below, we show the selected products along with some basic information for Eclipse and Mozilla respectively. Product | Number of components| Number of reports :----------------|:-----------------------:|:------------------------: Platform | 22 | 24.775 JDT | 6 | 10.814 CDT | 20 | 5.640 GEF | 5 | 5.655. Product | Number of components| Number of reports :----------------|:-----------------------:|:------------------------: Core | 137 | 74.292 Firefox | 47 | 69.879 Thunderbird | 23 | 19.237 Bugzilla | 21 | 4.616. As an end-user of software application reports a malfunctioning in a software application, the end-user provides contextual information concerning the observed bug. The information provided in a bug report can be modified during its lifetime. There are several reasons why changing/updating the information of a reported bug is desirable: * a report is incomplete and thus does not include vital information to fix the bug * a report provides inaccurate information * an update of the current development state, e.g., the status of a bug report changes from new to assigned and subsequently to closed. With each report in the dataset, a list of modifications provides the full update history.

Support

Quality

Security

License

Reuse

Support

msr2013-bug_dataset has a low active ecosystem.

It has 46 star(s) with 29 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 2 have been closed. On average issues are closed in 327 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of msr2013-bug_dataset is current.

Quality

msr2013-bug_dataset has no bugs reported.

Security

msr2013-bug_dataset has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

msr2013-bug_dataset 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

msr2013-bug_dataset releases are not available. You will need to build from source code and install.

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

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msr2013-bug_dataset Key Features

No Key Features are available at this moment for msr2013-bug_dataset.

msr2013-bug_dataset Examples and Code Snippets

No Code Snippets are available at this moment for msr2013-bug_dataset.

Community Discussions

Trending Discussions on msr2013-bug_dataset

Pandas dataframe replaces strings with NaN using pd.concat

Extracting dictionary values from a pandas dataframe

QUESTION

Pandas dataframe replaces strings with NaN using pd.concat

Asked 2017-Aug-29 at 19:15

I have a pandas dataframe consisting of strings, i.e 'P1', 'P2', 'P3', ..., null.

When I try to concatenate this data frame with another, all of the strings get replaced with 'NaN'.

See my code below:

...

ANSWER

Answered 2017-Aug-29 at 16:02

Assuming you want to concatenate those columns horizontally, you'll need to pass axis=1 to pd.concat, because by default, concatenation is vertical.

Source https://stackoverflow.com/questions/45943455

QUESTION

Extracting dictionary values from a pandas dataframe

Asked 2017-Aug-29 at 06:28

I need to extra a features from a dataset I imported from a .json file.

This is what it looks like:

...

ANSWER

Answered 2017-Aug-28 at 22:08

Don't initialise a dataframe and try to assign it to a column - columns are meant to be pd.Series.

You should just assign the list comprehension directly, like this:

Source https://stackoverflow.com/questions/45927936

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

Vulnerabilities

No vulnerabilities reported

Install msr2013-bug_dataset

You can download it from GitHub.
On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

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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