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Incremental data visualization in python

Project description


Inkrement provides tools for incremental data analysis. You might find it most useful when the questions you have can be answered from a subset of your data. The tools may also be useful in determining if a partial view of your data can be used to draw conclusions, ie are differences in your data by orders of magnitude or is your data fairly homogeneous.

Typical usage often looks like this:

#!usr/bin/env python

import inkrement

import numpy as np

x = np.random.normal(0, 1, 1000)
y = np.random.normal(0, 1, 1000)

inkrement.plot_lag(x, y, 10, 53, 8)

Output looks like this:

Example Plot


Matplotlib wrapper for incremental data visualization in python



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Filename, size & hash SHA256 hash help File type Python version Upload date
inkrement-0.0.1-py3-none-any.whl (2.4 kB) Copy SHA256 hash SHA256 Wheel py3
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