statspack 0.1.2

A statistical visualization package optimized to work with percentiles and histograms.

StatsPack - Statistical Visualization Package

StatsPack is a Python package designed for statistical visualization. It provides functions to create density contour plots, confidence intervals, and other statistical visualizations directly related with percentiles of 2D distributions. It was specially desined to be lightweight and avoid memory overusage.

Requirements

Python3.8+
numpy
scipy
matplotlib
colorlog
logging
datetime

Installation

You can install the StatsPack package using pip:

pip install statspack

Usage

Import the package in your Python code

import statspack

Bining Data for Contour Plots

import numpy as np
import matplotlib.pyplot as plt

# Example data
x = np.random.rand(100)
y = np.random.rand(100)
z = np.random.rand(100)

# Create contour plot data
X, Y, Z = statspack.bining(x, y, z, nbins=10, xlim=(None, None), ylim=(None, None))

# Plot the contour
plt.contour(X, Y, Z)
plt.colorbar()
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Contour Plot')
plt.show()

Finding Confidence Intervals

import numpy as np

# Example PDF data
hist_pdf = np.random.rand(100)

# Find confidence interval
confidence_interval = statspack.find_confidence_interval(hist_pdf, prc=0.95)
print(f"95% Confidence Interval: {confidence_interval}")

Density Contour Plot

import numpy as np
import matplotlib.pyplot as plt

# Example data
xdata = np.random.rand(100)
ydata = np.random.rand(100)
binsx = 10
binsy = 10

# Create density contour plot
contours, levels = statspack.density_contour(xdata, ydata, binsx, binsy, verbose=True)
plt.colorbar(contours[0], label='Density')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Density Contour Plot')
plt.show()

Contour PDF

import numpy as np
import matplotlib.pyplot as plt

# Example data
x_axis = np.random.rand(100)
y_axis = np.random.rand(100)

# Create contour PDF plot
contours = statspack.contour_pdf(x_axis, y_axis, nbins=10, percent=[10, 50, 90], colors=['blue', 'green', 'red'])
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Contour PDF Plot')
plt.show()

These are some of the functions provided by the StatsPack package for statistical visualization. You can refer to the function documentation in the source code for more details on their parameters and usage.

License

StatsPack is licensed under the GNU General Public License v3.0. You can find the full text of the license in the LICENSE file included with the package.