Skip to main content

spectrum plot

plotting FFT of 1D data, with live plot update

usage example:

import numpy as np
from spectrum_plot import create_fft_plot


plot = create_fft_plot()
n = 200
seconds = 0.1
t = np.linspace(0, seconds, n)
nyquist = n / seconds / 2
for freq in np.linspace(100, nyquist, 100):
    sine = np.sin(2 * np.pi * t * freq)
    plot.update_raw_data(sine, seconds=seconds)

In the examples folder, you can locate a code that includes the addition of music notes at the graph.

Metadata

Release files for spectrum-plot 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for spectrum-plot 0.2.0
File Size Uploaded Provenance
spectrum_plot-0.2.0.tar.gz 3.7 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for spectrum-plot 0.2.0
File Interpreter ABI Platform
spectrum_plot-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 7.9 kB

Release files / spectrum_plot-0.2.0.tar.gz

Download URL spectrum_plot-0.2.0.tar.gz
Size 3.7 kB
Tags Source
SHA-256 checksum
How to use checksums
ebaa7d5e128551771f0db0ef52c11ff8ffbf75bbdf89d8c0cef7b9e8cb4d5bc3
BLAKE2b-256 checksum
How to use checksums
f1b94d656b6a7b955feacdc99ffd883e788b0c044f4667be36d177badabe481d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Release files / spectrum_plot-0.2.0-py3-none-any.whl

Download URL spectrum_plot-0.2.0-py3-none-any.whl
Size 4.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
59cb2a77a3f11615b57998e97e905f3496c6c4b49625bec13bc123e1969726c3
BLAKE2b-256 checksum
How to use checksums
d72065bf225e30f2c3cd966ed2176e7e61fec242f0c4e2ae59d59bb5f910e074
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Security for spectrum-plot 0.2.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page