chroptiks
=========
Description
-----------
chroptiks is a Python package that offers advanced plotting utilities,
making it easier to create complex and informative visualizations. It
extends the functionality of libraries like matplotlib and scipy,
providing a user-friendly interface for a variety of plotting needs.
Requirements
------------
Python libraries: matplotlib, numpy, scipy
Installation
------------
To install chroptiks, run:
.. code:: bash
pip install chroptiks
or if you want to install from source:
.. code:: bash
git clone https://github.com/cagostino/chroptiks.git
cd chroptiks
python setup.py install
Features
--------
—2D Histograms (hist2d): Easily create 2D histograms for data analysis.
—1D Histograms (hist1d): Simplify the process of creating and
customizing 1D histograms.
—Scatter Plots (scatter): Enhanced functionality for scatter plot
creation.
—3D Plots (plot3d): Intuitive tools for 3D data visualization.
—Bar Charts (plotbar): Quick and customizable bar chart creation.
Example usage
-------------
hist2d, hist1d, scatter, plot3d, plotbar are now ready to be used as per
their defined functionalities and plots are generated through each of
their plot methods. For example:
.. code:: python
import numpy as np
from chroptiks.plotting_utils import hist2d
x = np.linspace(-1,1, 100000)+np.random.normal(0,.1, size=100000)
y = x**(3)+np.random.normal(0, 0.3, size=100000)
z = np.random.normal(size=100000)
hist2d.plot(x,y,nx=200,ny=200)
hist2d.plot(x,y,nx=40, ny=40, ccode = z, ccodename='Z', xlabel='X', ylabel='Y')
hist2d.plot(x,y,nx=200,ny=200,bin_y=True, size_y_bin=0.1, xlabel='X', ylabel='Y', percentiles=False)
from chroptiks.plotting_utils import hist1d
hist1d.plot(z, range=(-2,2), bins=100, xlabel='Z', ylabel='Counts')
hist1d.plot(z, range=(-2,2), bins=100, xlabel='Z', ylabel='Counts', normed=True)
hist1d.plot(z, range=(-4,4), bins=100, xlabel='Z', ylabel='Cumulative Count', cumulative=True)
from chroptiks.plotting_utils import scat
#scat
scat.plot(x,z)
#scat with color-code
scat.plot(x,y, ccode=z, color=None, edgecolor=None, vmin=-0.5, vmax=0.5)
#note if you use ccode to color the points, you must set color to None, and I would advise you to set edgecolor to None as well or else each will have outlines.
#scat with y-binning
scat.plot(x, y, bin_y=True, size_y_bin=0.1, percentiles=True, xlabel='X', ylabel='Z', aspect='auto')
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"description": "chroptiks\n=========\n\nDescription\n-----------\n\nchroptiks is a Python package that offers advanced plotting utilities,\nmaking it easier to create complex and informative visualizations. It\nextends the functionality of libraries like matplotlib and scipy,\nproviding a user-friendly interface for a variety of plotting needs.\n\nRequirements\n------------\n\nPython libraries: matplotlib, numpy, scipy\n\nInstallation\n------------\n\nTo install chroptiks, run:\n\n.. code:: bash\n\n pip install chroptiks\n\nor if you want to install from source:\n\n.. code:: bash\n\n git clone https://github.com/cagostino/chroptiks.git\n cd chroptiks\n python setup.py install\n\nFeatures\n--------\n\n\u20142D Histograms (hist2d): Easily create 2D histograms for data analysis.\n\n\u20141D Histograms (hist1d): Simplify the process of creating and\ncustomizing 1D histograms.\n\n\u2014Scatter Plots (scatter): Enhanced functionality for scatter plot\ncreation.\n\n\u20143D Plots (plot3d): Intuitive tools for 3D data visualization.\n\n\u2014Bar Charts (plotbar): Quick and customizable bar chart creation.\n\nExample usage\n-------------\n\nhist2d, hist1d, scatter, plot3d, plotbar are now ready to be used as per\ntheir defined functionalities and plots are generated through each of\ntheir plot methods. For example:\n\n.. code:: python\n\n\n import numpy as np\n from chroptiks.plotting_utils import hist2d\n\n x = np.linspace(-1,1, 100000)+np.random.normal(0,.1, size=100000)\n y = x**(3)+np.random.normal(0, 0.3, size=100000)\n z = np.random.normal(size=100000)\n\n hist2d.plot(x,y,nx=200,ny=200)\n\n hist2d.plot(x,y,nx=40, ny=40, ccode = z, ccodename='Z', xlabel='X', ylabel='Y')\n\n hist2d.plot(x,y,nx=200,ny=200,bin_y=True, size_y_bin=0.1, xlabel='X', ylabel='Y', percentiles=False)\n\n from chroptiks.plotting_utils import hist1d\n\n hist1d.plot(z, range=(-2,2), bins=100, xlabel='Z', ylabel='Counts')\n\n hist1d.plot(z, range=(-2,2), bins=100, xlabel='Z', ylabel='Counts', normed=True)\n\n hist1d.plot(z, range=(-4,4), bins=100, xlabel='Z', ylabel='Cumulative Count', cumulative=True)\n\n\n\n from chroptiks.plotting_utils import scat\n\n #scat\n scat.plot(x,z)\n\n #scat with color-code\n scat.plot(x,y, ccode=z, color=None, edgecolor=None, vmin=-0.5, vmax=0.5)\n #note if you use ccode to color the points, you must set color to None, and I would advise you to set edgecolor to None as well or else each will have outlines.\n\n #scat with y-binning\n scat.plot(x, y, bin_y=True, size_y_bin=0.1, percentiles=True, xlabel='X', ylabel='Z', aspect='auto')\n\n",
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