movingclusterlib

This library implements a tool to analyze cluster evolution during the time for a given Pandas dataframe.

Installation

pip install movingclusterlib

Usage example

import numpy as np
from movingclusterlib import GraphAnalizer, gates, plot_clusters

df = ...

# Cluster analysis
ga = GraphAnalizer(
    edge_func=gates.And(
        gates.TimeWindow(40000),
        gates.Equal("a"),
    ).full_code(),
    features={
        'ts': np.uint32,
        'a': np.int32,
    },
)
df['cluster_id'], df['cluster_size'] = ga.process(df)

# Plot 10 biggest clusters on a diagram
plot_clusters(df['ts'], df['cluster_id'], df['cluster_size'], size=10)

Metadata

Release files for movingclusterlib 0.1.2

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Source distribution (sdist)

Source distribution for movingclusterlib 0.1.2
File	Size	Uploaded	Provenance
movingclusterlib-0.1.2.tar.gz	3.0 kB	Sep 20, 2023	Without provenance	Details

Release files / movingclusterlib-0.1.2.tar.gz

Download URL	movingclusterlib-0.1.2.tar.gz
Size	3.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`a2f8ec2c7d85d82ec5d12773a15fec09fdafcc245f5ae1dfd92eb759a151594d`
BLAKE2b-256 checksum How to use checksums	`0899b93ff0d64418668a70baea55d9c8d2cf27321d8649f94bcb3a1dbd30c6be`
Upload date	Sep 20, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.7`

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