"SciPy" stands for "Scientific Python" and it is valuable for scientific analysis.
SciPy installation:
pip install SciPy
Examples of the functions in SciPy:
Integration: (
scipy.integrate)Optimization/Fitting: (
scipy.optimize)Interpolation: (
scipy.interpolate)Signal Processing: (
scipy.signal)Spatial data structures and algorithms: (
scipy.spatial)Statistics: (
scipy.stats)Multi-dimensional image processing: (
scipy.ndimage)
Importing from SciPy
from scipy import optimize
from scipy import spatial
# first form
from scipy import stats
# second form
from scipy.stats import distributions
T-Test
from scipy.stats import ttest_ind
x = ([1, 3, 5, 7, 11])
y = ([2, 4, 6, 8, 4])
res = ttest_ind(x, y)
print(res)
Statistical Description of Data
import numpy as np
from scipy.stats import describe
x = np.random.normal(size=50)
res = describe(x)
print(res)
# DescribeResult(nobs=50, minmax=(-2.5511668761037507, 1.7772593602939395), mean=0.02937722230632724, variance=0.9754504451804601, skewness=-0.12226936632001595, kurtosis=-0.39363575297869824)
Interpolation
import numpy as np
from scipy.interpolate import interp1d
x = np.array([0., 1., 5., 8., 10.])
y = np.array([0., 4., 1., 6., 8.])
f = interp1d(x, y)
print(f(3))
# 2.5
Integration
import scipy.integrate
import numpy as np
f = lambda x: np.exp(x**1)
# print results
i = scipy.integrate.quad(f, 1, 2) # quad -- General-purpose integration.
print(i)
# (4.670774270471606, 5.1856011379043454e-14)
Input and Output
The scipy.io package provides multiple methods to handle inputs and outputs of multiple formats such as:
Matlab
Netcdf
IDL
Arff
Matrix Market
Wave
import scipy.io as syio
# Save the mat file
n = 14031977
syio.savemat('test.mat', {'test': n})
# Load the mat File
matf_contents = syio.loadmat('test.mat')
print(matf_contents)
# printing the contents of mat file.
matf_contents = syio.whosmat('test.mat')
print(matf_contents)
#{'__header__': b'MATLAB 5.0 MAT-file Platform: nt, Created on: Mon Jun 28 16:15:59 2021', '__version__': '1.0', '__globals__': [], 'test': array([[14031977]])}
[('test', (1, 1), 'int32')]
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