repo_name stringlengths 6 67 | path stringlengths 5 185 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 1.02k 962k | license stringclasses 15
values |
|---|---|---|---|---|---|
amitgroup/parts-net | scripts/script_parts.py | 1 | 9041 | from __future__ import division, print_function, absolute_import
import matplotlib as mpl
mpl.rc('font', size=8)
from vzlog import default as vz
import numpy as np
import amitgroup as ag
import itertools as itr
import sys
import os
from amitgroup.plot import ImageGrid
import pnet
import time
def test(ims, labels, n... | bsd-3-clause |
hlin117/scikit-learn | examples/linear_model/plot_omp.py | 385 | 2263 | """
===========================
Orthogonal Matching Pursuit
===========================
Using orthogonal matching pursuit for recovering a sparse signal from a noisy
measurement encoded with a dictionary
"""
print(__doc__)
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import OrthogonalM... | bsd-3-clause |
harpolea/pyro2 | compressible/problems/logo.py | 2 | 2297 | from __future__ import print_function
import sys
import mesh.patch as patch
import numpy as np
from util import msg
import matplotlib.pyplot as plt
def init_data(my_data, rp):
""" initialize the logo problem """
msg.bold("initializing the logo problem...")
# make sure that we are passed a valid patch o... | bsd-3-clause |
bxlab/HiFive_Paper | Scripts/HiCLib/mirnylab-hiclib-460c3fbc0f72/src/hiclib/binnedData.py | 2 | 64389 | #(c) 2012 Massachusetts Institute of Technology. All Rights Reserved
# Code written by: Maksim Imakaev (imakaev@mit.edu)
#TODO:(MIU) Write tests for this module!
"""
Binned data - analysis of HiC, binned to resolution.
Concepts
--------
class Binned Data allows low-level manipulation of multiple HiC datasets,
bin... | bsd-3-clause |
tequa/ammisoft | ammimain/WinPython-64bit-2.7.13.1Zero/python-2.7.13.amd64/Lib/site-packages/mpl_toolkits/axes_grid1/colorbar.py | 10 | 27874 | '''
Colorbar toolkit with two classes and a function:
:class:`ColorbarBase`
the base class with full colorbar drawing functionality.
It can be used as-is to make a colorbar for a given colormap;
a mappable object (e.g., image) is not needed.
:class:`Colorbar`
the derived class ... | bsd-3-clause |
acmaheri/sms-tools | lectures/6-Harmonic-model/plots-code/f0-TWM-errors-1.py | 2 | 3586 | import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import hamming, triang, blackman
import math
import sys, os, functools, time
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), '../../../software/models/'))
import dftModel as DFT
import utilFunctions as UF
def TWM (pfreq, p... | agpl-3.0 |
tansey/vsmrfs | vsmrfs/test_learning.py | 2 | 6974 | import matplotlib
matplotlib.use('Agg')
from matplotlib import cm, colors
import matplotlib.pyplot as plt
import numpy as np
import scipy.sparse as sp
import argparse
import csv
import sys
from node_learning import *
from exponential_families import *
from utils import *
if __name__ == '__main__':
parser = argpars... | mit |
zutshi/S3CAMX | create_example_from_template.py | 1 | 6354 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import fileOps as f
import sys
import err
plant_str = '''
# Must satisfy the signature
# [t,X,D,P] = sim_function(T,X0,D0,P0,I0);
import numpy as np
from scipy.integrate import ode
import matplotlib.pyplot as PLT
class SIM(object):
def __init__(self, plt, pvt_init_dat... | bsd-2-clause |
hainm/scikit-learn | examples/cluster/plot_lena_compress.py | 271 | 2229 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Vector Quantization Example
=========================================================
The classic image processing example, Lena, an 8-bit grayscale
bit-depth, 512 x 512 sized image, is used here to illustrate
how ... | bsd-3-clause |
zingale/pyro2 | compressible_react/simulation.py | 1 | 3310 | from __future__ import print_function
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import compressible
import compressible.eos as eos
import util.plot_tools as plot_tools
class Simulation(compressible.Simulation):
def initialize(self):
"""
For the reacting compressible ... | bsd-3-clause |
kenshay/ImageScripter | ProgramData/SystemFiles/Python/Lib/site-packages/pandas/tests/test_panelnd.py | 7 | 3952 | # -*- coding: utf-8 -*-
import nose
from pandas.core import panelnd
from pandas.core.panel import Panel
from pandas.util.testing import assert_panel_equal
import pandas.util.testing as tm
class TestPanelnd(tm.TestCase):
def setUp(self):
pass
def test_4d_construction(self):
with tm.assert_... | gpl-3.0 |
Lawrence-Liu/scikit-learn | sklearn/datasets/tests/test_svmlight_format.py | 228 | 11221 | from bz2 import BZ2File
import gzip
from io import BytesIO
import numpy as np
import os
import shutil
from tempfile import NamedTemporaryFile
from sklearn.externals.six import b
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert... | bsd-3-clause |
conversationai/wikidetox | antidox/perspective.py | 1 | 9999 | """ inputs comments to perspective and dlp apis and detects
toxicity and personal information> has support for csv files,
bigquery tables, and wikipedia talk pages"""
#TODO(tamajongnc): configure pipeline to distribute work to multiple machines
# pylint: disable=fixme, import-error
# pylint: disable=fixme, unused-impor... | apache-2.0 |
ScazLab/snap_circuits | board_perception/part_classifier.py | 1 | 12583 | import os
import time
import json
from copy import deepcopy
import numpy as np
import cv2
from sklearn.svm import SVC
from sklearn.metrics import confusion_matrix
from sklearn.externals import joblib
# Location of board training data
DATA = os.path.join(os.path.dirname(__file__), '../data/')
BOARD_DATA = os.path.joi... | gpl-3.0 |
cactusbin/nyt | matplotlib/examples/pylab_examples/legend_auto.py | 3 | 2281 | """
This file was written to test matplotlib's autolegend placement
algorithm, but shows lots of different ways to create legends so is
useful as a general examples
Thanks to John Gill and Phil ?? for help at the matplotlib sprint at
pycon 2005 where the auto-legend support was written.
"""
from pylab import *
import ... | unlicense |
SpatialTranscriptomicsResearch/st_analysis | scripts/differential_analysis.py | 1 | 7792 | #! /usr/bin/env python
"""
This script performs Differential Expression Analysis
using DESeq2 or Scran + DESeq2 on ST datasets.
The script can take one or several datasets with the following format:
GeneA GeneB GeneC
1x1
1x2
...
Ideally, each dataset (matrix) would correspond to a region
of interest (... | mit |
anurag313/scikit-learn | sklearn/ensemble/tests/test_bagging.py | 72 | 25573 | """
Testing for the bagging ensemble module (sklearn.ensemble.bagging).
"""
# Author: Gilles Louppe
# License: BSD 3 clause
import numpy as np
from sklearn.base import BaseEstimator
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.te... | bsd-3-clause |
arizona-phonological-imaging-lab/Autotrace | matlab-version/image_diversityNEW.py | 3 | 17500 | #!/usr/bin/env python
"""
image_diversityNEW.py
Rewritten by Gus Hahn-Powell on March 7 2014
based on ~2010 code by Jeff Berry
purpose:
This script measures the distance from average for each image in the
input set, and copies the specified number of highest scoring images
to a new folder called 'diverse'. If ROI_... | mit |
iychoi/syndicate | planetlab/graphs/scatter.py | 2 | 4707 | """
Copyright 2013 The Trustees of Princeton University
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicab... | apache-2.0 |
mvpossum/deep-learning | tp3/base.py | 1 | 9188 | from __future__ import print_function
import numpy as np
np.random.seed(1337) # for reproducibility
import os
from keras.utils import np_utils
from keras import backend as K
from scipy import misc
from time import time, strftime, localtime
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
from ke... | mit |
MechCoder/scikit-learn | examples/model_selection/plot_learning_curve.py | 76 | 4509 | """
========================
Plotting Learning Curves
========================
On the left side the learning curve of a naive Bayes classifier is shown for
the digits dataset. Note that the training score and the cross-validation score
are both not very good at the end. However, the shape of the curve can be found
in ... | bsd-3-clause |
RomainBrault/scikit-learn | examples/mixture/plot_gmm.py | 122 | 3265 | """
=================================
Gaussian Mixture Model Ellipsoids
=================================
Plot the confidence ellipsoids of a mixture of two Gaussians
obtained with Expectation Maximisation (``GaussianMixture`` class) and
Variational Inference (``BayesianGaussianMixture`` class models with
a Dirichlet ... | bsd-3-clause |
alexsavio/scikit-learn | sklearn/linear_model/tests/test_sparse_coordinate_descent.py | 94 | 10801 | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_less
from sklearn.utils.testing import assert_true
from sklearn.utils.t... | bsd-3-clause |
henryroe/NIHTS-xcam | setup.py | 2 | 5385 | from setuptools import setup, find_packages # Always prefer setuptools over distutils
from codecs import open # To use a consistent encoding
import os
base_dir = os.path.abspath(os.path.dirname(__file__))
about = {}
with open(os.path.join(base_dir, "nihts_xcam", "__about__.py")) as f:
exec(f.read(), about)
# G... | mit |
ruohoruotsi/librosa | librosa/segment.py | 1 | 21884 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Temporal segmentation
=====================
Recurrence and self-similarity
------------------------------
.. autosummary::
:toctree: generated/
recurrence_matrix
recurrence_to_lag
lag_to_recurrence
timelag_filter
Temporal clustering
--------------... | isc |
allinpaybusiness/ACS | allinpay projects/creditscorelogisticvaropt/classlogistic.py | 1 | 18588 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import sys;
import os;
sys.path.append("allinpay projects")
from imp import reload
import creditscore
reload(creditscore)
from creditscore import CreditScore
import pandas as pd
import numpy as np
import time
from sklearn.model_selection i... | apache-2.0 |
marcocaccin/scikit-learn | sklearn/datasets/tests/test_20news.py | 280 | 3045 | """Test the 20news downloader, if the data is available."""
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import SkipTest
from sklearn import datasets
def test_20news():
try:
data = dat... | bsd-3-clause |
ryandougherty/mwa-capstone | MWA_Tools/build/matplotlib/lib/mpl_toolkits/axes_grid1/anchored_artists.py | 8 | 5410 |
from matplotlib.patches import Rectangle, Ellipse
import numpy as np
from matplotlib.offsetbox import AnchoredOffsetbox, AuxTransformBox, VPacker,\
TextArea, AnchoredText, DrawingArea, AnnotationBbox
class AnchoredDrawingArea(AnchoredOffsetbox):
"""
AnchoredOffsetbox with DrawingArea
"""
def ... | gpl-2.0 |
codeforfrankfurt/PolBotCheck | polbotcheck/plots/front_back_link.py | 1 | 1108 | import sys
from os import path
sys.path.append( path.dirname( path.dirname( path.abspath(__file__) ) ) )
import db
import seaborn as sns
import pandas as pd
import numpy as np
# takes data (that should come from the backend) and creates the output we would like to have
# on the front end.
def follower_botness(userna... | mit |
spallavolu/scikit-learn | sklearn/linear_model/least_angle.py | 61 | 54324 | """
Least Angle Regression algorithm. See the documentation on the
Generalized Linear Model for a complete discussion.
"""
from __future__ import print_function
# Author: Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Gael Varoquaux
#
# License: BSD 3 ... | bsd-3-clause |
kagayakidan/scikit-learn | examples/linear_model/plot_ols_3d.py | 350 | 2040 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Sparsity Example: Fitting only features 1 and 2
=========================================================
Features 1 and 2 of the diabetes-dataset are fitted and
plotted below. It illustrates that although feature... | bsd-3-clause |
marmarko/ml101 | tensorflow/examples/tutorials/word2vec/word2vec_basic.py | 8 | 8995 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | bsd-2-clause |
pauljxtan/nbody | src/plot_realtime_N3.py | 1 | 1028 | #!/usr/bin/env python
import matplotlib.pyplot as plt
import sys
def main():
# Set the frameskip (plot every n-th frame)
frame_skip = int(sys.argv[1])
# Enable interactive mode
plt.ion()
# Set up figure
fig = plt.figure()
sp = fig.add_subplot(111)
frame_count = 0
while True:... | mit |
a301-teaching/pyman | Book/chap5/Supporting Materials/MultPlotDemo.py | 3 | 1270 | # Demonstrates the following:
# plotting logarithmic axes
# user-defined functions
# "where" function, NumPy array conditional
import numpy as np
import matplotlib.pyplot as plt
# Define the sinc function, with output for x=0 defined
# as a special case to avoid division by zero
def s(x):
a = np.where(x... | cc0-1.0 |
chenyyx/scikit-learn-doc-zh | examples/zh/plot_johnson_lindenstrauss_bound.py | 39 | 7489 | r"""
=====================================================================
The Johnson-Lindenstrauss bound for embedding with random projections
=====================================================================
The `Johnson-Lindenstrauss lemma`_ states that any high dimensional
dataset can be randomly projected i... | gpl-3.0 |
kdaily/altanalyze | misopy/sashimi_plot/Sashimi.py | 1 | 3716 | ##
## Class for representing figures
##
import os
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import rc
import misopy.sashimi_plot.plot_utils.plot_settings as plot_settings
import misopy.sashimi_plot.plot_utils.plotting as plotting
class Sashimi:
"""
Representation of a figure.
"""
... | apache-2.0 |
tri-CSI/Bioinfo | lib/GTF.py | 1 | 2702 | #!/usr/bin/env python
"""
GTF.py
Kamil Slowikowski
December 24, 2013
Changed by: Tran Minh Tri
Org: CTRAD - CSI
ver: 0.0.1
Read GFF/GTF files. Works with gzip compressed files and pandas.
http://useast.ensembl.org/info/website/upload/gff.html
Source: https://gist.github.com/slowkow/8101481
"""
from collect... | cc0-1.0 |
xiyuw123/Tax-Calculator | taxcalc/decorators.py | 1 | 11007 | import numpy as np
import pandas as pd
import inspect
from numba import jit, vectorize, guvectorize
from functools import wraps
from six import StringIO
import ast
import toolz
class GetReturnNode(ast.NodeVisitor):
"""
A Visitor to get the return tuple names from a calc-style
function
"""
def visi... | mit |
elijah513/scikit-learn | sklearn/linear_model/tests/test_randomized_l1.py | 214 | 4690 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD 3 clause
import numpy as np
from scipy import sparse
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_raises
from sklearn.linear_model.randomized_l1 i... | bsd-3-clause |
timcera/hspfbintoolbox | tests/test_catalog.py | 1 | 115314 | # -*- coding: utf-8 -*-
"""
catalog
----------------------------------
Tests for `hspfbintoolbox` module.
"""
import csv
import shlex
import subprocess
import sys
from unittest import TestCase
from pandas.testing import assert_frame_equal
try:
from cStringIO import StringIO
except:
from io import StringIO
... | bsd-3-clause |
dnolivieri/RFVextract | rfVextract/VsPredict05.py | 1 | 3766 | #!/usr/bin/env python
"""
dnolivieri: (updated: 23 oct 2014)
random forest, but using the idea of
intervals used in the MHC exons
"""
import numpy as np
import matplotlib.pyplot as plt
import time
import os, fnmatch
import sys
import itertools
from operator import itemgetter, attrgetter
import math
from Bio ... | bsd-3-clause |
mhdella/scikit-learn | sklearn/cluster/setup.py | 263 | 1449 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD 3 clause
import os
from os.path import join
import numpy
from sklearn._build_utils import get_blas_info
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
cblas_libs, blas_info = ... | bsd-3-clause |
robertsj/libdetran | src/python/pydetranutils/quad_plot.py | 2 | 1931 | # This provides utilities for plotting things on a
# 1D or 2D mesh or a slice of a 3D mesh.
try :
import numpy as np
except ImportError :
print "Error importing Numpy"
try :
import mpl_toolkits.mplot3d.axes3d as p3
import matplotlib.pyplot as plt
except ImportError :
print "Error importing matplotlib"
glob... | mit |
telefar/stockEye | coursera-compinvest1-master/coursera-compinvest1-master/Examples/Basic/movingavg-ex.py | 2 | 1060 | import QSTK.qstkutil.qsdateutil as du
import QSTK.qstkutil.tsutil as tsu
import QSTK.qstkutil.DataAccess as da
import datetime as dt
import matplotlib.pyplot as plt
import pandas
from pylab import *
#
# Prepare to read the data
#
symbols = ["AAPL","GLD","GOOG","$SPX","XOM"]
startday = dt.datetime(2008,1,1)
endday = dt... | bsd-3-clause |
heli522/scikit-learn | examples/linear_model/plot_ridge_path.py | 254 | 1655 | """
===========================================================
Plot Ridge coefficients as a function of the regularization
===========================================================
Shows the effect of collinearity in the coefficients of an estimator.
.. currentmodule:: sklearn.linear_model
:class:`Ridge` Regressi... | bsd-3-clause |
babsey/sumatra | test/system/test_ircr.py | 3 | 6521 | """
A run through of basic Sumatra functionality.
As our example code, we will use a Python program for analyzing scanning
electron microscope (SEM) images of glass samples. This example was taken from
an online SciPy tutorial at http://scipy-lectures.github.com/intro/summary-exercises/image-processing.html
Usage:
... | bsd-2-clause |
rmccoy7541/egillettii-rnaseq | scripts/model_A.synonymous.py | 1 | 3634 | #! /bin/env python
import sys
from optparse import OptionParser
import copy
import matplotlib
matplotlib.use('Agg')
import pylab
import scipy.optimize
import numpy
from numpy import array
import dadi
#import demographic models
import gillettii_models
def runModel(outFile, nuW_start, nuC_start, T_start):
# Pa... | mit |
fabioticconi/scikit-learn | sklearn/datasets/svmlight_format.py | 19 | 16759 | """This module implements a loader and dumper for the svmlight format
This format is a text-based format, with one sample per line. It does
not store zero valued features hence is suitable for sparse dataset.
The first element of each line can be used to store a target variable to
predict.
This format is used as the... | bsd-3-clause |
nawawi/poedit | deps/boost/libs/metaparse/tools/benchmark/benchmark.py | 8 | 10484 | #!/usr/bin/python
"""Utility to benchmark the generated source files"""
# Copyright Abel Sinkovics (abel@sinkovics.hu) 2016.
# Distributed under the Boost Software License, Version 1.0.
# (See accompanying file LICENSE_1_0.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt)
import argparse
import os
im... | mit |
rosswhitfield/mantid | scripts/MantidIPython/plot_functions.py | 3 | 4224 | # Mantid Repository : https://github.com/mantidproject/mantid
#
# Copyright © 2018 ISIS Rutherford Appleton Laboratory UKRI,
# NScD Oak Ridge National Laboratory, European Spallation Source,
# Institut Laue - Langevin & CSNS, Institute of High Energy Physics, CAS
# SPDX - License - Identifier: GPL - 3.0 +
"""
... | gpl-3.0 |
MaxHalford/StSICMR-Inference | simulations/plotting.py | 1 | 4200 | import matplotlib.pyplot as plt
import numpy as np
plt.style.use('fivethirtyeight')
def plotModel(model, times, lambdas=None, logScale=False,
save=None, show=True):
''' Plot a model in green and a determined lambda function in red. '''
plt.clf()
plt.grid(color='white', linestyle='solid')
... | mit |
ishank08/scikit-learn | sklearn/datasets/tests/test_mldata.py | 384 | 5221 | """Test functionality of mldata fetching utilities."""
import os
import shutil
import tempfile
import scipy as sp
from sklearn import datasets
from sklearn.datasets import mldata_filename, fetch_mldata
from sklearn.utils.testing import assert_in
from sklearn.utils.testing import assert_not_in
from sklearn.utils.test... | bsd-3-clause |
rrohan/scikit-learn | sklearn/mixture/tests/test_gmm.py | 200 | 17427 | import unittest
import copy
import sys
from nose.tools import assert_true
import numpy as np
from numpy.testing import (assert_array_equal, assert_array_almost_equal,
assert_raises)
from scipy import stats
from sklearn import mixture
from sklearn.datasets.samples_generator import make_spd_ma... | bsd-3-clause |
thebucknerlife/caravel | setup.py | 1 | 1426 | from setuptools import setup, find_packages
version = '0.8.4'
setup(
name='caravel',
description=(
"A interactive data visualization platform build on SqlAlchemy "
"and druid.io"),
version=version,
packages=find_packages(),
include_package_data=True,
zip_safe=False,
scripts... | apache-2.0 |
ryfeus/lambda-packs | LightGBM_sklearn_scipy_numpy/source/sklearn/utils/testing.py | 4 | 30964 | """Testing utilities."""
# Copyright (c) 2011, 2012
# Authors: Pietro Berkes,
# Andreas Muller
# Mathieu Blondel
# Olivier Grisel
# Arnaud Joly
# Denis Engemann
# Giorgio Patrini
# Thierry Guillemot
# License: BSD 3 clause
import os
import inspect
import p... | mit |
prheenan/Research | Perkins/Projects/Protein/alpha3d/2016-11-30-devin-iwt/Main_alpha3d_iwt.py | 1 | 2674 | # force floating point division. Can still use integer with //
from __future__ import division
# This file is used for importing the common utilities classes.
import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.append("../../../../../../")
from Research.Perkins.AnalysisUtil.EnergyLandscapes import I... | gpl-3.0 |
dhesse/parmalgt-analysis | actions.py | 1 | 7884 | """
:mod:`actions` -- Methods to perform the data analysis
=======================================================
.. module: actions
In this module, we collect the functions that can be applied to the
data.
"""
from puwr import tauint
from math import log
import numpy as np
from scipy.linalg import svd, diagsvd, no... | mit |
timsnyder/bokeh | examples/app/gapminder/main.py | 5 | 2769 | # -*- coding: utf-8 -*-
import pandas as pd
from bokeh.core.properties import field
from bokeh.io import curdoc
from bokeh.layouts import layout
from bokeh.models import (ColumnDataSource, HoverTool, SingleIntervalTicker,
Slider, Button, Label, CategoricalColorMapper)
from bokeh.palettes impo... | bsd-3-clause |
pizzathief/scipy | scipy/interpolate/fitpack.py | 5 | 25629 | __all__ = ['splrep', 'splprep', 'splev', 'splint', 'sproot', 'spalde',
'bisplrep', 'bisplev', 'insert', 'splder', 'splantider']
import warnings
import numpy as np
# These are in the API for fitpack even if not used in fitpack.py itself.
from ._fitpack_impl import bisplrep, bisplev, dblint
from . import _f... | bsd-3-clause |
tBuLi/symfit | examples/ode_reaction_kinetics_simple.py | 1 | 1250 | from symfit import variables, Parameter, Fit, D, ODEModel
import numpy as np
import matplotlib.pyplot as plt
# First order reaction kinetics. Data taken from
# http://chem.libretexts.org/Core/Physical_Chemistry/Kinetics/Rate_Laws/The_Rate_Law
tdata = np.array([0, 0.9184, 9.0875, 11.2485, 17.5255, 23.9993, 27.7949,
... | gpl-2.0 |
khkaminska/scikit-learn | sklearn/utils/random.py | 234 | 10510 | # Author: Hamzeh Alsalhi <ha258@cornell.edu>
#
# License: BSD 3 clause
from __future__ import division
import numpy as np
import scipy.sparse as sp
import operator
import array
from sklearn.utils import check_random_state
from sklearn.utils.fixes import astype
from ._random import sample_without_replacement
__all__ =... | bsd-3-clause |
jlegendary/scikit-learn | sklearn/neighbors/nearest_centroid.py | 199 | 7249 | # -*- coding: utf-8 -*-
"""
Nearest Centroid Classification
"""
# Author: Robert Layton <robertlayton@gmail.com>
# Olivier Grisel <olivier.grisel@ensta.org>
#
# License: BSD 3 clause
import warnings
import numpy as np
from scipy import sparse as sp
from ..base import BaseEstimator, ClassifierMixin
from ..met... | bsd-3-clause |
madjelan/scikit-learn | sklearn/linear_model/least_angle.py | 57 | 49338 | """
Least Angle Regression algorithm. See the documentation on the
Generalized Linear Model for a complete discussion.
"""
from __future__ import print_function
# Author: Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Gael Varoquaux
#
# License: BSD 3 ... | bsd-3-clause |
iitjee/SteppinsMachineLearning | Tensorflow/01 TF Fundamentals/07 CNN-kaden.py | 1 | 4567 | # Let's create a Gaussian curve!
# The 1 dimensional gaussian takes two parameters, the mean value, and the standard deviation, which is commonly denoted by the name sigma.
mean = 0.0
sigma = 1.0
# Don't worry about trying to learn or remember this formula. I always have to refer to textbooks or check online for ... | apache-2.0 |
qiudebo/13learn | other/stock/stockholm.py | 1 | 6150 |
import argparse
import option
import csv
import os
import datetime
import json
import re
import io
import requests
import timeit
import time
from multiprocessing.dummy import Pool as ThreadPool
from functools import partial
import pandas as pd
from pandas.io.excel import ExcelFile
import co... | mit |
materialsproject/pymatgen | pymatgen/io/abinit/pseudos.py | 5 | 65306 | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
This module provides objects describing the basic parameters of the
pseudopotentials used in Abinit, and a parser to instantiate pseudopotential objects..
"""
import abc
import collections
import logging
im... | mit |
courtarro/gnuradio-wg-grc | gr-digital/examples/snr_estimators.py | 46 | 6348 | #!/usr/bin/env python
#
# Copyright 2011-2013 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your optio... | gpl-3.0 |
Vimos/scikit-learn | sklearn/decomposition/tests/test_dict_learning.py | 17 | 10084 | import numpy as np
import itertools
from sklearn.exceptions import ConvergenceWarning
from sklearn.utils import check_array
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import... | bsd-3-clause |
dblalock/flock | python/viz/motifs.py | 1 | 8148 | #!/bin/env/python
import numpy as np
import matplotlib.pyplot as plt
from sklearn.decomposition import TruncatedSVD
from ..algo.motif import findMotif, findAllMotifInstances
from ..utils.subseq import simMatFromDistTensor
from viz_utils import plotRect, plotRanges
def findAndPlotMotif(seq, lengths, **kwargs):
moti... | mit |
apdjustino/urbansim | urbansim/models/util.py | 1 | 9311 | """
Utilities used within the ``urbansim.models`` package.
"""
import collections
import logging
import numbers
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
from tokenize import generate_tokens, NAME
import numpy as np
import pandas as pd
import patsy
from zbox import toolz a... | bsd-3-clause |
samzhang111/scikit-learn | sklearn/linear_model/logistic.py | 3 | 65828 | """
Logistic Regression
"""
# Author: Gael Varoquaux <gael.varoquaux@normalesup.org>
# Fabian Pedregosa <f@bianp.net>
# Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Manoj Kumar <manojkumarsivaraj334@gmail.com>
# Lars Buitinck
# Simon Wu <s8wu@uwaterloo.ca>
imp... | bsd-3-clause |
lamontu/data-analysis | pandas/series.py | 1 | 1171 | # -*- coding: utf-8 -*-
from pandas import Series
print("## Create Series using array:")
obj = Series([4, 7, -5, 3])
print(obj)
print(obj.values)
print(obj.index)
print()
print("## Designate the index of a Series:")
obj2 = Series([4, 7, -5, 3], index=['d', 'b', 'a', 'c'])
print(obj2)
print(obj2.index)
print(obj2['a'... | gpl-3.0 |
JohannesBuchner/matplotlib-subsets | tests/nestedsetrect_test.py | 1 | 1110 | from matplotlib_subsets import *
def test_nested_example1():
sets = [
set(list('ABCDEFGH')),
set(list('DEFG')),
set(list('E')),
]
setsizes = [len(s) for s in sets]
nestedsets_rectangles(setsizes, labels = [
r'$\mathbf{%s}$ ($%d$)' % (string.ascii_uppercase[i], len(s))
for i, s in enumerate(sets)])
plt... | mit |
ClockworkOrigins/m2etis | dependencies/create_virtualenv.py | 1 | 1472 | import virtualenv
import textwrap
import subprocess
import os
import sys
######################
# Add required dependencies to the object dependenciesList.
# Syntax is equivalent to pip requirements files.
# If there are dependencies between packages mind that all packages will be installed in the specified order.
d... | apache-2.0 |
cogmission/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/cbook.py | 69 | 42525 | """
A collection of utility functions and classes. Many (but not all)
from the Python Cookbook -- hence the name cbook
"""
from __future__ import generators
import re, os, errno, sys, StringIO, traceback, locale, threading, types
import time, datetime
import warnings
import numpy as np
import numpy.ma as ma
from weakr... | agpl-3.0 |
BlueBrain/NeuroM | neurom/view/view.py | 1 | 16854 | # Copyright (c) 2015, Ecole Polytechnique Federale de Lausanne, Blue Brain Project
# All rights reserved.
#
# This file is part of NeuroM <https://github.com/BlueBrain/NeuroM>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are ... | bsd-3-clause |
ch3ll0v3k/scikit-learn | sklearn/neighbors/unsupervised.py | 106 | 4461 | """Unsupervised nearest neighbors learner"""
from .base import NeighborsBase
from .base import KNeighborsMixin
from .base import RadiusNeighborsMixin
from .base import UnsupervisedMixin
class NearestNeighbors(NeighborsBase, KNeighborsMixin,
RadiusNeighborsMixin, UnsupervisedMixin):
"""Unsu... | bsd-3-clause |
evgchz/scikit-learn | examples/cluster/plot_dict_face_patches.py | 337 | 2747 | """
Online learning of a dictionary of parts of faces
==================================================
This example uses a large dataset of faces to learn a set of 20 x 20
images patches that constitute faces.
From the programming standpoint, it is interesting because it shows how
to use the online API of the sciki... | bsd-3-clause |
francesco-mannella/dmp-esn | parametric/parametric_dmp/bin/tr_datasets/e_cursive_curves_angles_LWPR_100/data/trajectories/plot.py | 18 | 1043 | #!/usr/bin/env python
import glob
import numpy as np
import matplotlib.pyplot as plt
import os
import sys
pathname = os.path.dirname(sys.argv[0])
if pathname:
os.chdir(pathname)
n_dim = None
trains = []
for fname in glob.glob("tl*"):
t = np.loadtxt(fname)
trains.append(t)
tests = []
for fname in glob... | gpl-2.0 |
jakobworldpeace/scikit-learn | sklearn/utils/multiclass.py | 41 | 14732 |
# Author: Arnaud Joly, Joel Nothman, Hamzeh Alsalhi
#
# License: BSD 3 clause
"""
Multi-class / multi-label utility function
==========================================
"""
from __future__ import division
from collections import Sequence
from itertools import chain
from scipy.sparse import issparse
from scipy.sparse.... | bsd-3-clause |
r-mart/scikit-learn | sklearn/manifold/tests/test_locally_linear.py | 232 | 4761 | from itertools import product
from nose.tools import assert_true
import numpy as np
from numpy.testing import assert_almost_equal, assert_array_almost_equal
from scipy import linalg
from sklearn import neighbors, manifold
from sklearn.manifold.locally_linear import barycenter_kneighbors_graph
from sklearn.utils.testi... | bsd-3-clause |
MartinDelzant/scikit-learn | examples/decomposition/plot_pca_vs_fa_model_selection.py | 142 | 4467 | """
===============================================================
Model selection with Probabilistic PCA and Factor Analysis (FA)
===============================================================
Probabilistic PCA and Factor Analysis are probabilistic models.
The consequence is that the likelihood of new data can be u... | bsd-3-clause |
gkioxari/RstarCNN | lib/fast_rcnn/test_stanford40.py | 1 | 10561 | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Test a Fast R-CNN network on an imdb (image database)."""
from fast... | bsd-2-clause |
av8ramit/tensorflow | tensorflow/contrib/learn/python/learn/estimators/estimator_test.py | 7 | 54392 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | apache-2.0 |
jms-dipadua/financial-forecasting | forecast_dir.py | 1 | 20535 | import sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import yaml
#import h5py
from sklearn import svm
from sklearn.metrics import f1_score, accuracy_score, mean_absolute_error, mean_squared_error
from sklearn.preprocessing import StandardScaler
from sklearn.cross_vali... | gpl-3.0 |
webmasterraj/GaSiProMo | flask/lib/python2.7/site-packages/pandas/computation/scope.py | 24 | 9002 | """Module for scope operations
"""
import sys
import struct
import inspect
import datetime
import itertools
import pprint
import numpy as np
import pandas as pd
from pandas.compat import DeepChainMap, map, StringIO
from pandas.core.base import StringMixin
import pandas.computation as compu
def _ensure_scope(level,... | gpl-2.0 |
tehtechguy/mHTM | dev/mnist_novelty_detection/mnist_novelty_detection.py | 1 | 12417 | # mnist_novelty_detection.py
#
# Author : James Mnatzaganian
# Contact : http://techtorials.me
# Organization : NanoComputing Research Lab - Rochester Institute of
# Technology
# Website : https://www.rit.edu/kgcoe/nanolab/
# Date Created : 03/13/16
#
# Description : Experiment f... | mit |
undercoveridiot/gunfolds | gunfolds/scripts/stackedbars.py | 1 | 3438 | from gunfolds.tools import zickle as zkl
import matplotlib as mpl
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
import pylab as pl
import seaborn as sns
def get_counts(d):
eqc = [len(x['eq']) for x in d]
keys = np.sort(np.unique(eqc))
c = {}
for k in keys:
c[k] = ... | gpl-3.0 |
jaffe59/vp-cnn | cnn_classifier/error_analysis.py | 1 | 1799 | import pandas
from statsmodels.sandbox.stats.runs import mcnemar
cnn_file = 'final_run.3.preds.txt'
lr_file = 'stats.1_prev_no_resp.csv'
dialogue_file = 'corrected.tsv'
def read_in_dialogues(dialogue_file):
dialogue_indices = []
dialogue_index = -1
turn_index = -1
records = []
with open(dialogue_fi... | apache-2.0 |
samgale/MouseEyeTracker | MouseEyeTracker.py | 1 | 126077 | # -*- coding: utf-8 -*-
"""
GUI for tracking mouse pupil area and position/rotation
Acquire data with camera or analyze data from hdf5 or video file
@author: samgale
"""
from __future__ import division
import sip
sip.setapi('QString', 2)
import h5py, json, math, os, time
import cv2
import numpy as np
im... | mit |
MartinDelzant/scikit-learn | sklearn/tests/test_dummy.py | 186 | 17778 | from __future__ import division
import numpy as np
import scipy.sparse as sp
from sklearn.base import clone
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_eq... | bsd-3-clause |
corburn/scikit-bio | skbio/draw/_distributions.py | 10 | 30987 | # ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# --------------------------------------------... | bsd-3-clause |
btabibian/scikit-learn | sklearn/preprocessing/data.py | 3 | 90834 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Mathieu Blondel <mathieu@mblondel.org>
# Olivier Grisel <olivier.grisel@ensta.org>
# Andreas Mueller <amueller@ais.uni-bonn.de>
# Eric Martin <eric@ericmart.in>
# Giorgio Patrini <giorgio.patrini@anu.edu.au>
# Lic... | bsd-3-clause |
merenlab/anvio | anvio/parsers/hmmscan.py | 3 | 35794 | # -*- coding: utf-8
"""Parser for HMMER's various outputs"""
import anvio
import anvio.utils as utils
import anvio.terminal as terminal
from anvio.errors import ConfigError
from anvio.parsers.base import Parser
import numpy as np
import pandas as pd
__author__ = "Developers of anvi'o (see AUTHORS.txt)"
__copyright... | gpl-3.0 |
drufat/vispy | vispy/testing/__init__.py | 21 | 2415 | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
"""
Testing
=======
This module provides functions useful for running tests in vispy.
Tests can be run in a few ways:
* From Python, you can import ``vispy`` and do ``vis... | bsd-3-clause |
oddt/oddt | oddt/pandas.py | 2 | 19996 | """ Pandas extension for chemical analysis """
from __future__ import absolute_import
from collections import deque
from six import BytesIO, StringIO, text_type
import pandas as pd
import oddt
pd.set_option("display.max_colwidth", 999999)
def _mol_reader(fmt='sdf',
filepath_or_buffer=None,
... | bsd-3-clause |
SciTools/iris | lib/iris/tests/unit/plot/test_points.py | 5 | 2370 | # Copyright Iris contributors
#
# This file is part of Iris and is released under the LGPL license.
# See COPYING and COPYING.LESSER in the root of the repository for full
# licensing details.
"""Unit tests for the `iris.plot.points` function."""
# Import iris.tests first so that some things can be initialised before
... | lgpl-3.0 |
Adai0808/scikit-learn | examples/classification/plot_lda_qda.py | 164 | 4806 | """
====================================================================
Linear and Quadratic Discriminant Analysis with confidence ellipsoid
====================================================================
Plot the confidence ellipsoids of each class and decision boundary
"""
print(__doc__)
from scipy import lin... | bsd-3-clause |
goldmedal/spark | python/pyspark/sql/pandas/functions.py | 2 | 27749 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | apache-2.0 |
cdegroc/scikit-learn | sklearn/neighbors/graph.py | 14 | 2839 | """Nearest Neighbors graph functions"""
# Author: Jake Vanderplas <vanderplas@astro.washington.edu>
#
# License: BSD, (C) INRIA, University of Amsterdam
from .base import KNeighborsMixin, RadiusNeighborsMixin
from .unsupervised import NearestNeighbors
def kneighbors_graph(X, n_neighbors, mode='connectivity'):
"... | bsd-3-clause |
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