bpm2

by nlml Python Version: Current License: No License

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

kandi X-RAY | bpm2 Summary

bpm2 is a Python library. bpm2 has no bugs, it has no vulnerabilities and it has low support. However bpm2 build file is not available. You can download it from GitHub.

bpm2

Support

Quality

Security

License

Reuse

Support

bpm2 has a low active ecosystem.

It has 10 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 314 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of bpm2 is current.

Quality

bpm2 has no bugs reported.

Security

bpm2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

bpm2 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

bpm2 releases are not available. You will need to build from source code and install.

bpm2 has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed bpm2 and discovered the below as its top functions. This is intended to give you an instant insight into bpm2 implemented functionality, and help decide if they suit your requirements.

Generate a sequential training set
Generate a sequence of slices based on t
Generate a sequence of random samples from t
Get sample from start to end
Generate a dataset
Pad y with rng
Get a single sample
Read a wav file
Convert a WAV to a numpy array
Generator for the flow

Get all kandi verified functions for this library.

bpm2 Key Features

No Key Features are available at this moment for bpm2.

bpm2 Examples and Code Snippets

No Code Snippets are available at this moment for bpm2.

Community Discussions

Trending Discussions on bpm2

pandas groupby and filling in missing frequencies

Android scaling copy of image instead of changing source image

QUESTION

pandas groupby and filling in missing frequencies

Asked 2020-Jul-16 at 12:19

I have a dataset of events each of which occurred on a specific day. Using Pandas I have been able to aggregate these into a count of events per month using the groupby function, and then plot a graph with Matplotlib. However, in the original dataset some months do not have any events and so there is no count of events in such a month. Such months do not therefore appear on the graph, but I would like to include then somehow with their zero count

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ANSWER

Answered 2020-Jul-16 at 12:19

First of all, if bpm2 = df2_yr1.groupby(['month_year', 'month'])['event_no'].count() is your code, then it is a series. So, let's change it to a dataframe with bpm2 = df2_yr1.groupby(['month_year', 'month'])['event_no'].count().reset_index(). Now, into the problem.

Change to date format and use pd.Grouper and change back to string format. Also add back the month column and change the formatting of the event_no column:

Source https://stackoverflow.com/questions/62933510

QUESTION

Android scaling copy of image instead of changing source image

Asked 2017-Aug-14 at 11:03

I have the following code for getting small sized avatar image:

...

ANSWER

Answered 2017-Aug-14 at 11:03

You are loading the image from "selectedImagePath" and then your output file points to the same path, when you call compress() you overwrite your original image.

Try making a new name for the resized image.

Source https://stackoverflow.com/questions/45669373

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

Vulnerabilities

No vulnerabilities reported

Install bpm2

You can download it from GitHub.
You can use bpm2 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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