osc_gen | Python package to create and manage oscillator wavetables | Data Manipulation library

by harveyormston Python Version: 1.3.3 License: GPL-3.0

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | osc_gen Summary

osc_gen is a Python library typically used in Utilities, Data Manipulation, Numpy applications. osc_gen has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install osc_gen' or download it from GitHub, PyPI.

osc_gen is a Python library for creating and managing oscillator wavetables.

Support

Quality

Security

License

Reuse

Support

osc_gen has a low active ecosystem.

It has 67 star(s) with 8 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 8 have been closed. On average issues are closed in 10 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of osc_gen is 1.3.3

Quality

osc_gen has no bugs reported.

Security

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

License

osc_gen is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

osc_gen releases are available to install and integrate.

Deployable package is available in PyPI.

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

Writes wave table to a file
Calculate the ARB
Return the wave at the given index
Return a generator of all the available waves
Load wave from a wav file
Generate noise
Plot a wavetable
Clear all waves
Inverse wavefunction of waveform
Normalize the input
Parse command line arguments
Morph one wave to another
Return a list of morph ranges
Plot a wave
Shape of a signal
Morph one wave table with another
Resynthesizes a sine
Read an audio file
Downsampling
Slice a cycle of cycles
Check args
Folds a given amplitude
Quantize a value to a given depth
Clip input to a given amount
Apply tube expansion
Render a WAV file

Get all kandi verified functions for this library.

osc_gen Key Features

No Key Features are available at this moment for osc_gen.

osc_gen Examples and Code Snippets

Getting Started,Processing Waveforms

Python

Lines of Code : 29

License : Strong Copyleft (GPL-3.0)

Copy

# clip() applies hard clipping
waves = [dsp.clip(sgen.sin(), x / 10) for x in range(16)]
wtab = wavetable.WaveTable(16, waves)
visualize.plot_wavetable(wtab)

# tube() applies tube saturation
waves = [dsp.tube(sgen.sin(), x) for x in range(1, 17)]
wt

Getting Started

Python

Lines of Code : 29

License : Strong Copyleft (GPL-3.0)

Copy

import wavetable
import sig
import dsp


# Create a signal generator.
sg = sig.SigGen()

# Create a wave table with 16 slots to store the waves.
wt = wavetable.WaveTable(16)

# Generate a sine wave using our signal generator.
m = sg.sin()

# Put the

Getting Started,Morphing Between Waveforms

Python

Lines of Code : 16

License : Strong Copyleft (GPL-3.0)

Copy

# Morph from sine to triangle over 16 slots.
wt.waves = sig.morph((sg.sin(), sg.tri()), 16)
wt.to_wav('osc_gen_sin_tri.wav')

# Morph from sine to triangle over 5 slots.
wt.waves = sig.morph((sg.sin(), sg.tri()), 5)
wt.to_wav('osc_gen_sin_tri5.wav')

Community Discussions

Trending Discussions on Data Manipulation

R: Is there a "Un-Character" Command in R?

Creating new columns based on data in row separated by specific character in R

Multiplying and Adding Values across Rows

How to make a rank column in R

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Split large csv file into multiple files based on column(s)

Get the first non-null value from selected cells in a row

pivot_longer with column pairs

Simulating Random Draws From a "Hat"

Break Apart a String into Separate Columns R

QUESTION

R: Is there a "Un-Character" Command in R?

Asked 2022-Apr-10 at 17:37

I am working with the R programming language.

I have the following dataset:

...

ANSWER

Answered 2022-Apr-10 at 05:36

Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

Source https://stackoverflow.com/questions/71813866

QUESTION

Creating new columns based on data in row separated by specific character in R

Asked 2022-Mar-15 at 08:48

I've the following table

Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

The code is as follows:

...

ANSWER

Answered 2022-Mar-15 at 08:48

One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

Source https://stackoverflow.com/questions/71478316

QUESTION

Multiplying and Adding Values across Rows

Asked 2022-Mar-10 at 08:24

I have this data frame:

...

ANSWER

Answered 2022-Mar-10 at 04:12

We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

Source https://stackoverflow.com/questions/71418533

QUESTION

How to make a rank column in R

Asked 2022-Mar-07 at 16:19

I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

...

ANSWER

Answered 2022-Mar-07 at 14:15

Using rank and relocate:

Source https://stackoverflow.com/questions/71381995

QUESTION

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Asked 2022-Feb-24 at 20:56

I working on a Python project that has a DataFrame like this:

...

ANSWER

Answered 2022-Feb-24 at 20:48

You could use the idxmax method on axis:

Source https://stackoverflow.com/questions/71258033

QUESTION

Split large csv file into multiple files based on column(s)

Asked 2022-Feb-07 at 12:49

I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

...

ANSWER

Answered 2021-Dec-12 at 05:22

With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

Source https://stackoverflow.com/questions/70320648

QUESTION

Get the first non-null value from selected cells in a row

Asked 2022-Feb-04 at 09:55

Good afternoon, friends!

I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

My df is:

...

ANSWER

Answered 2022-Feb-03 at 11:16

One option with dplyr could be:

Source https://stackoverflow.com/questions/70970158

QUESTION

pivot_longer with column pairs

Asked 2022-Feb-03 at 14:02

I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

...

ANSWER

Answered 2022-Feb-03 at 10:59

library(tidyverse)

example %>% 
  pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
  pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
  filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
  mutate(pwr = parse_number(pwr)) %>% 
  arrange(pwr, es, type)

Source https://stackoverflow.com/questions/70969176

QUESTION

Simulating Random Draws From a "Hat"

Asked 2021-Dec-28 at 21:50

Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

...

ANSWER

Answered 2021-Dec-26 at 10:11

You may define a function FUN(n) that creates a data set as shown in OP.

Source https://stackoverflow.com/questions/70483731

QUESTION

Break Apart a String into Separate Columns R

Asked 2021-Dec-17 at 20:39

I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

Here is my data:

...

ANSWER

Answered 2021-Dec-16 at 15:25

Here's one with regex. See regex101 link for the regex explanations

Source https://stackoverflow.com/questions/70381064

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

Vulnerabilities

No vulnerabilities reported

Install osc_gen

osc_gen is available on PyPI and can be installed using pip:.
These examples show how to:.
Use the sig module to generate oscillator shapes.
Use the wavetable module to create a 16 slot wavetable.
Store a wavetable as a zebra oscillator file.
Store a wavetable as a wav file.

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 .

Find more information at: