Earth-Science Data Analysis Library
Project description
ScientiMate is a library for earth-science data analysis. This library can be used for wide range of data analysis including a time series analysis, signal processing, and geo-data calculation.
- Name:
ScientiMate
- Description:
Earth-Science Data Analysis Library
- Version:
1.0
- Requirements:
Python (3 or later), NumPy, SciPy, Matplotlib
- Developer:
Arash Karimpour (http://www.arashkarimpour.com)
- Documentation:
- Tutorial Video:
- Source Code:
- Report Issues:
Installation
To use ScientiMate package:
Install Python
Install ScientiMate
1) Install Python
First, we need to install Python programming language.
- Method 1:
Install pure Python from https://www.python.org and then use the pip command to install required packages
- Method 2 (Recommended):
Install Anaconda Python distribution from https://www.anaconda.com and then use the conda command to install required packages
2) Install ScientiMate
After Python is installed, we need to install ScientiMate package.
To install ScientiMate via pip (https://pypi.org/project/scientimate):
pip install scientimate
To install ScientiMate via Anaconda cloud (https://anaconda.org/akarimp/scientimate):
conda install -c akarimp scientimate
Required Package for Python
Following packages are required:
NumPy (https://numpy.org)
SciPy (https://www.scipy.org)
Matplotlib (https://matplotlib.org)
Quick Start
import scientimate as sm
import numpy as np
print(sm.__version__)
x=np.linspace(1,10,10)
y=np.zeros((10,2))
y[:,0]=1+np.random.rand(10)
y[:,1]=2+np.random.rand(10)
sm.plot2d(x,y,'line_confid','blue_red','large')
Recommended Books
- Ocean Wave Data AnalysisIntroduction to Time Series Analysis, Signal Processing, and Wave Prediction.Order at Amazon: https://www.amazon.com/dp/0692109978
- Principles of Data Science with PythonIntroduction to Scientific Computing, Data Analysis, and Data Visualization.Order at Amazon: https://www.amazon.com/dp/1735241008
- Fundamentals of Data Science with MATLABIntroduction to Scientific Computing, Data Analysis, and Data Visualization.Order at Amazon: https://www.amazon.com/dp/1735241016
Citation
Cite this package as:
Karimpour, A. (2020). ScientiMate, Earth-Science Data Analysis Library.
License Agreement and Disclaimer
ScientiMate: Earth-Science Data Analysis Library
Copyright (c) 2020 Arash Karimpour
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for scientimate-1.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f2bbf2a02b119dd82da52a4a129d5704255bbe7df207c85b5c5f1c8275df5216 |
|
MD5 | b41fcc3a303f0502b815b343f61eb3e5 |
|
BLAKE2b-256 | a0b09b14a3044dca4cb5b45b8560c76b9e467b661aa9b9e6ca076153ec287d97 |