repo_name stringlengths 7 90 | path stringlengths 5 191 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 976 581k | license stringclasses 15
values |
|---|---|---|---|---|---|
louisLouL/pair_trading | capstone_env/lib/python3.6/site-packages/matplotlib/tests/test_rcparams.py | 2 | 18156 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import io
import os
import warnings
from collections import OrderedDict
from cycler import cycler, Cycler
import pytest
try:
from unittest import mock
except ImportError:
import mock
impor... | mit |
lancezlin/ml_template_py | lib/python2.7/site-packages/matplotlib/backends/backend_svg.py | 8 | 46393 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.externals import six
from matplotlib.externals.six.moves import xrange
from matplotlib.externals.six import unichr
import os, base64, tempfile, gzip, io, sys, codecs, re
import numpy as np
fr... | mit |
ankurankan/scikit-learn | sklearn/ensemble/tests/test_weight_boosting.py | 9 | 15843 | """Testing for the boost module (sklearn.ensemble.boost)."""
import numpy as np
from sklearn.utils.testing import assert_array_equal, assert_array_less
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_raises, assert_rais... | bsd-3-clause |
vibhorag/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 |
kenshay/ImageScript | ProgramData/SystemFiles/Python/Lib/site-packages/spyderlib/utils/introspection/jedi_plugin.py | 2 | 10430 | # -*- coding: utf-8 -*-
#
# Copyright © 2013 The Spyder Development Team
# Licensed under the terms of the MIT License
# (see spyderlib/__init__.py for details)
"""
Jedi Introspection Plugin
"""
import re
import os.path as osp
import sys
import time
import threading
from spyderlib import dependencies
from spyderlib.b... | gpl-3.0 |
HyperloopTeam/FullOpenMDAO | lib/python2.7/site-packages/matplotlib/tests/test_arrow_patches.py | 10 | 1078 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import matplotlib.pyplot as plt
from matplotlib.testing.decorators import image_comparison
import matplotlib
def draw_arrow(ax, t, r):
ax.annotate('', xy=(0.5, 0.5 + r), xytext=(0.5, 0.5), siz... | gpl-2.0 |
jseabold/statsmodels | statsmodels/base/tests/test_data.py | 2 | 35946 | from statsmodels.compat.pandas import assert_series_equal, assert_frame_equal,\
make_dataframe
import numpy as np
from numpy.testing import assert_equal, assert_, assert_raises
import pandas as pd
import pytest
from statsmodels.base import data as sm_data
from statsmodels.formula import handle_formula_data
from s... | bsd-3-clause |
poojavade/Genomics_Docker | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/HTSeq-0.6.1p1-py2.7-linux-x86_64.egg/HTSeq/scripts/qa.py | 5 | 7729 | #!/usr/bin/env python
# HTSeq_QA.py
#
# (c) Simon Anders, European Molecular Biology Laboratory, 2010
# released under GNU General Public License
import sys, time, os.path, optparse
from itertools import *
import numpy
import HTSeq
def main():
try:
import matplotlib
except ImportError:
sys.stderr.... | apache-2.0 |
sssllliang/edx-analytics-pipeline | edx/analytics/tasks/tests/acceptance/test_internal_reporting_course.py | 2 | 3061 | """
End to end test of the internal reporting course table loading task.
Testing strategy: the mock results of the course structure API will contain 2 courses, while there will be another
course that has enrollments but does not appear in the course structure API. All three should appear
... | agpl-3.0 |
quheng/scikit-learn | examples/manifold/plot_manifold_sphere.py | 258 | 5101 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=============================================
Manifold Learning methods on a severed sphere
=============================================
An application of the different :ref:`manifold` techniques
on a spherical data-set. Here one can see the use of
dimensionality reducti... | bsd-3-clause |
olivierverdier/odelab | tests/test_solver.py | 1 | 8194 | # -*- coding: utf-8 -*-
from __future__ import division
from odelab.scheme.rungekutta import *
from odelab.scheme.generallinear import *
from odelab.scheme import *
from odelab.scheme.classic import *
from odelab.scheme.exponential import *
from odelab.store import Store, PyTableStore, SimpleStore
from odelab.system... | bsd-3-clause |
mbrner/funfolding | funfolding/pipeline/_feature_selection.py | 1 | 21664 | import time
import numpy as np
from sklearn.metrics import log_loss
from concurrent.futures import ProcessPoolExecutor
import funfolding as ff
def __train_eval__(idx,
X_train,
y_train,
X_validation,
y_validation,
binning,... | mit |
grhawk/ASE | doc/exercises/siesta1/answer1.py | 5 | 1198 | # -*- coding: utf-8 -*-
# creates: ener.png distance.png angle.png
import os
import matplotlib
#matplotlib.use('Agg')
import pylab as plt
e_s = [0.01,0.1,0.2,0.3,0.4,0.5]
E = [-463.2160, -462.9633, -462.4891, -462.0551,
-461.5426, -461.1714]
d = [1.1131, 1.1046, 1.0960, 1.0901,
1.0857, 1.0810]
alpha = [100... | gpl-2.0 |
SlashDK/PennApps-XIV | ChristiansPythonLib/doc.py | 1 | 10718 | """
@mainpage Intro
<div>
<a name="topOfPage"></a>
This is a collection of open source Python scripts that I found useful for analyzing data from human and mammalian vocalizations, and for generating aesthetically pleasing graphs and videos, to be used in publications and presentations/lectures.
</div>
<div>
To date,... | gpl-3.0 |
grundgruen/powerline | powerline/utils/tradingcalendar_epex.py | 2 | 2047 | """
Defines trading days and trading times for the EPEX market.
"""
import pandas as pd
from datetime import datetime, timedelta
from zipline.utils.tradingcalendar import end, canonicalize_datetime
__author__ = "Warren"
canonicalize_datetime = canonicalize_datetime
start = pd.Timestamp('2011-01-01', tz='UTC')
end... | apache-2.0 |
atantet/transferCZ | plot/plotEigVecSection.py | 1 | 7135 | import os
import numpy as np
import matplotlib.pyplot as plt
import pylibconfig2
import ergoPlot
configFile = '../cfg/transferCZ.cfg'
cfg = pylibconfig2.Config()
cfg.read_file(configFile)
fileFormat = cfg.general.fileFormat
# Transition lag
if (hasattr(cfg.stat, 'tauDimPlot')):
tauDim = cfg.stat.tauDimPlot
else:
... | gpl-2.0 |
gauteh/ibcao_py | ibcao/tests/test_depth_interp.py | 1 | 2474 | # encoding: utf-8
import common
from common import outdir, TRAVIS
import logging as ll
import unittest as ut
from ibcao import *
import cartopy.crs as ccrs
import matplotlib
import matplotlib.pyplot as plt
import os
import os.path
class IbcaoDepthTest (ut.TestCase):
def setUp (self):
self.i = IBCAO ()
def... | lgpl-3.0 |
YosefLab/scVI | scvi/data/_preprocessing.py | 1 | 10183 | import logging
from typing import Optional
import anndata
import numpy as np
import pandas as pd
import torch
from scvi._utils import track
from ._utils import _check_nonnegative_integers
logger = logging.getLogger(__name__)
@torch.no_grad()
def poisson_gene_selection(
adata,
layer: Optional[str] = None,
... | bsd-3-clause |
mikeireland/chronostar | projects/scocen/galaxy_ages.py | 1 | 8478 | """
Plot ScoCen in (l, b) coordinates, stars for each component with different
colours resembling component age.
"""
import numpy as np
from astropy.table import Table
from astropy import units as u
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.cm as cm
import matplotlib as mpl
i... | mit |
NerdWalletOSS/Q | ML/DT/python/DTree_sklearn_titanic.py | 1 | 1694 |
# coding: utf-8
# In[13]:
import sklearn_dt_utils as utils
from sklearn.tree import export_graphviz
import os
# In[14]:
q_src_dir = os.getenv('Q_SRC_ROOT')
if not q_src_dir:
print("'Q_SRC_ROOT' is not set")
exit(-1)
csv_file_path = "%s/ML/KNN/data/titanic/titanic_train.csv" % q_src_dir
csv_file_path = ... | mit |
MartinDelzant/scikit-learn | examples/decomposition/plot_faces_decomposition.py | 103 | 4394 | """
============================
Faces dataset decompositions
============================
This example applies to :ref:`olivetti_faces` different unsupervised
matrix decomposition (dimension reduction) methods from the module
:py:mod:`sklearn.decomposition` (see the documentation chapter
:ref:`decompositions`) .
"""... | bsd-3-clause |
tmhm/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 |
henryhallam/libswiftnav-python | setup.py | 1 | 3686 | #!/usr/bin/env python
"""
============
Installation
============
Requirements
============
libswiftnav-python has the following requirements, they must be installed
before building and installing libswiftnav-python:
- `Python <http://www.python.org/>`_ 2.6 or 2.7
- `Numpy <http://www.numpy.org/>`_ 1.6 or later
- ... | lgpl-3.0 |
mdrumond/tensorflow | tensorflow/examples/learn/text_classification.py | 17 | 6649 | # 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 appl... | apache-2.0 |
paulthulstrup/moose | test/tests/time_integrators/convergence/implicit_plot.py | 12 | 5535 | #!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
# Use fonts that match LaTeX
from matplotlib import rcParams
rcParams['font.family'] = 'serif'
rcParams['font.size'] = 17
rcParams['font.serif'] = ['Computer Modern Roman']
rcParams['text.usetex'] = True
# Small font size for the legend
from mat... | lgpl-2.1 |
conversationai/wikidetox | experimental/conversation_go_awry/prediction_utils/repeat_features.py | 1 | 5425 | """
Copyright 2017 Google Inc.
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 applicable law or agreed to in writing, software
dis... | apache-2.0 |
DailyActie/Surrogate-Model | 01-codes/scipy-master/scipy/signal/ltisys.py | 1 | 122846 | """
ltisys -- a collection of classes and functions for modeling linear
time invariant systems.
"""
from __future__ import division, print_function, absolute_import
#
# Author: Travis Oliphant 2001
#
# Feb 2010: Warren Weckesser
# Rewrote lsim2 and added impulse2.
# Apr 2011: Jeffrey Armstrong <jeff@approximatrix.co... | mit |
ardiya/siamesenetwork-tensorflow | dataset.py | 1 | 2729 | from __future__ import generators, division, absolute_import, with_statement, print_function, unicode_literals
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.keras.datasets import mnist
class Dataset(object):
images_train = np.array([])
images_test = np.array([])
labels_train = np.array([])
la... | mit |
camroach87/pr1c3_f0r3c457 | tests/testModels.py | 1 | 9116 | """testModels.py: Trying to fit some models to the weather and price data.
Also calculating some evaluation metrics. Trying to plot using pandas plot
functionality.
"""
__author__ = "Cameron Roach"
import pandas as pd
import numpy as np
import os
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomFore... | mit |
jakevdp/networkx | examples/graph/napoleon_russian_campaign.py | 44 | 3216 | #!/usr/bin/env python
"""
Minard's data from Napoleon's 1812-1813 Russian Campaign.
http://www.math.yorku.ca/SCS/Gallery/minard/minard.txt
"""
__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
# Copyright (C) 2006 by
# Aric Hagberg <hagberg@lanl.gov>
# Dan Schult <dschult@colgate.edu>
# Pieter Swart <sw... | bsd-3-clause |
adamgreenhall/scikit-learn | benchmarks/bench_rcv1_logreg_convergence.py | 149 | 7173 | # Authors: Tom Dupre la Tour <tom.dupre-la-tour@m4x.org>
# Olivier Grisel <olivier.grisel@ensta.org>
#
# License: BSD 3 clause
import matplotlib.pyplot as plt
import numpy as np
import gc
import time
from sklearn.externals.joblib import Memory
from sklearn.linear_model import (LogisticRegression, SGDClassifi... | bsd-3-clause |
jniediek/mne-python | mne/viz/tests/test_decoding.py | 3 | 3962 | # Authors: Denis Engemann <denis.engemann@gmail.com>
# Jean-Remi King <jeanremi.king@gmail.com>
#
# License: Simplified BSD
import os.path as op
import warnings
from nose.tools import assert_raises, assert_equals
import numpy as np
from mne.epochs import equalize_epoch_counts, concatenate_epochs
from mne.d... | bsd-3-clause |
ky822/scikit-learn | examples/cross_decomposition/plot_compare_cross_decomposition.py | 128 | 4761 | """
===================================
Compare cross decomposition methods
===================================
Simple usage of various cross decomposition algorithms:
- PLSCanonical
- PLSRegression, with multivariate response, a.k.a. PLS2
- PLSRegression, with univariate response, a.k.a. PLS1
- CCA
Given 2 multivari... | bsd-3-clause |
jaidevd/scikit-learn | sklearn/cluster/tests/test_mean_shift.py | 48 | 3653 | """
Testing for mean shift clustering methods
"""
import numpy as np
import warnings
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import asser... | bsd-3-clause |
RobertABT/heightmap | build/matplotlib/examples/pylab_examples/line_collection2.py | 9 | 1327 | from pylab import *
from matplotlib.collections import LineCollection
# In order to efficiently plot many lines in a single set of axes,
# Matplotlib has the ability to add the lines all at once. Here is a
# simple example showing how it is done.
N = 50
x = arange(N)
# Here are many sets of y to plot vs x
ys = [x+i f... | mit |
RayMick/scikit-learn | sklearn/decomposition/tests/test_fastica.py | 272 | 7798 | """
Test the fastica algorithm.
"""
import itertools
import warnings
import numpy as np
from scipy import stats
from nose.tools import assert_raises
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_true
from skl... | bsd-3-clause |
crawfordsm/pysalt | saltfirst/SpectraViewWidget.py | 2 | 5099 | """
SpectraViewWidget is a Qt4 Widget for displaying a spectra either in terms of signal or signal to noise
it expects to be given the wavelenght, flux, and sn arrays for the data
"""
import numpy as np
from PyQt4 import QtGui, QtCore
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QTAgg
from saltgui i... | bsd-3-clause |
amyvmiwei/neon | neon/diagnostics/ranges_plots.py | 13 | 3114 | # ----------------------------------------------------------------------------
# Copyright 2014 Nervana Systems Inc.
# 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.o... | apache-2.0 |
cpaulik/scipy | scipy/spatial/tests/test__plotutils.py | 71 | 1463 | from __future__ import division, print_function, absolute_import
from numpy.testing import dec, assert_, assert_array_equal
try:
import matplotlib
matplotlib.rcParams['backend'] = 'Agg'
import matplotlib.pyplot as plt
has_matplotlib = True
except:
has_matplotlib = False
from scipy.spatial import ... | bsd-3-clause |
RazerM/orbital | examples/defining_orbits.py | 1 | 1899 | ##############################################
# Allow this code to be run from the examples
# directory without orbital installed.
from pathlib import Path
import sys
examples_dir = Path(__file__).parent.resolve()
orbital_dir = examples_dir.parent
sys.path.append(str(orbital_dir))
####################################... | mit |
anddam/trading-with-python | lib/interactivebrokers.py | 77 | 18140 | """
Copyright: Jev Kuznetsov
Licence: BSD
Interface to interactive brokers together with gui widgets
"""
import sys
# import os
from time import sleep
from PyQt4.QtCore import (SIGNAL, SLOT)
from PyQt4.QtGui import (QApplication, QFileDialog, QDialog, QVBoxLayout, QHBoxLayout, QDialogButtonBox,
... | bsd-3-clause |
petroniocandido/pyFTS | pyFTS/models/seasonal/common.py | 1 | 3693 | import numpy as np
import pandas as pd
from enum import Enum
from pyFTS.common import FuzzySet, Membership
from pyFTS.partitioners import partitioner, Grid
from datetime import date as dt, datetime as dtm
class DateTime(Enum):
"""
Data and Time granularity for time granularity and seasonality identification
... | gpl-3.0 |
robin-lai/scikit-learn | sklearn/decomposition/pca.py | 192 | 23117 | """ Principal Component Analysis
"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Mathieu Blondel <mathieu@mblondel.org>
# Denis A. Engemann <d.engemann@fz-juelich.de>
# Michael Eickenberg <michael.eickenberg@inria.fr>
#
# Lice... | bsd-3-clause |
cdcapano/pycbc | pycbc/results/plot.py | 4 | 1516 | """ Plotting utilities and premade plot configurations
"""
def hist_overflow(val, val_max, **kwds):
""" Make a histogram with an overflow bar above val_max """
import pylab, numpy
overflow = len(val[val>=val_max])
pylab.hist(val[val<val_max], **kwds)
if 'color' in kwds:
color = kwds['colo... | gpl-3.0 |
moeyensj/atmo2mags | atmo2mags/atmobuilder.py | 1 | 135489 | ### Necessary imports
import numpy as np
import os
import copy
import matplotlib.pyplot as plt
import matplotlib.patches as mp
import lsst.sims.photUtils.Sed as Sed
import lsst.sims.photUtils.Bandpass as Bandpass
from atmo2mags.atmo import Atmo
from astroML.plotting.mcmc import convert_to_stdev
from astroML.decorator... | bsd-3-clause |
nhejazi/scikit-learn | examples/decomposition/plot_incremental_pca.py | 175 | 1974 | """
===============
Incremental PCA
===============
Incremental principal component analysis (IPCA) is typically used as a
replacement for principal component analysis (PCA) when the dataset to be
decomposed is too large to fit in memory. IPCA builds a low-rank approximation
for the input data using an amount of memo... | bsd-3-clause |
valexandersaulys/airbnb_kaggle_contest | venv/lib/python3.4/site-packages/sklearn/linear_model/tests/test_logistic.py | 6 | 37696 | import numpy as np
import scipy.sparse as sp
from scipy import linalg, optimize, sparse
import scipy
from sklearn.utils.testing import assert_almost_equal
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... | gpl-2.0 |
LittleRichard/sormtger | server/__init__.py | 1 | 1750 | import logging
import os
import sys
# detect and create a variable for the root of the server package
SERVER_PACKAGE_PATH = os.path.dirname(__file__) + '/'
# set up logging
logging.basicConfig(filename=(SERVER_PACKAGE_PATH + 'debug.log'),
format='%(asctime)s:%(name)s:%(levelname)s:%(message)s',
... | gpl-3.0 |
yangdw/PyRepo | src/repo/extension-lib/matplotlib/ldr.py | 2 | 2323 | # coding:utf-8
"""
ldr.py
Display analog data from Arduino using Python (matplotlib)
Author: Mahesh Venkitachalam
Website: electronut.in
"""
#import sys, serial, argparse
import sys, argparse
import numpy as np
from time import sleep
from collections import deque
import matplotlib.pyplot as plt
import matplotlib.ani... | mit |
aricchen/openHR | openerp/addons/resource/faces/timescale.py | 170 | 3902 | ############################################################################
# Copyright (C) 2005 by Reithinger GmbH
# mreithinger@web.de
#
# This file is part of faces.
#
# faces is free software; you can redistribute it and/or modify
# ... | agpl-3.0 |
etkirsch/scikit-learn | sklearn/manifold/tests/test_t_sne.py | 162 | 9771 | import sys
from sklearn.externals.six.moves import cStringIO as StringIO
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_less
from sklearn.utils.testing import assert_raises_regexp
... | bsd-3-clause |
Gillu13/scipy | scipy/signal/spectral.py | 28 | 34979 | """Tools for spectral analysis.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from scipy import fftpack
from . import signaltools
from .windows import get_window
from ._spectral import lombscargle
import warnings
from scipy._lib.six import string_types
__all__ = ['periodogr... | bsd-3-clause |
maupontifex/hunting_complex_poles | Hunting_complex_poles_Function_and_examples.py | 1 | 8722 | """###################################################
Python code for the paper:
"Extracting an accurate model for permittivity
from experimental data : Hunting complex poles
from the real line"
Elaborated by:
Mauricio Garcia-Vergara*
Guillaume Demesy
Frederic Zolla
Affiliation:
Aix-Marseille Universite, CNRS, Ce... | gpl-3.0 |
ClimbsRocks/scikit-learn | examples/applications/plot_prediction_latency.py | 85 | 11395 | """
==================
Prediction Latency
==================
This is an example showing the prediction latency of various scikit-learn
estimators.
The goal is to measure the latency one can expect when doing predictions
either in bulk or atomic (i.e. one by one) mode.
The plots represent the distribution of the pred... | bsd-3-clause |
JPFrancoia/scikit-learn | examples/covariance/plot_sparse_cov.py | 300 | 5078 | """
======================================
Sparse inverse covariance estimation
======================================
Using the GraphLasso estimator to learn a covariance and sparse precision
from a small number of samples.
To estimate a probabilistic model (e.g. a Gaussian model), estimating the
precision matrix, t... | bsd-3-clause |
zjuela/LapSRN-tensorflow | tensorlayer/files.py | 1 | 33051 | #! /usr/bin/python
# -*- coding: utf8 -*-
import tensorflow as tf
import os
import numpy as np
import re
import sys
import tarfile
import gzip
import zipfile
from . import visualize
from . import nlp
import pickle
from six.moves import urllib
from six.moves import cPickle
from six.moves import zip
from tensorflow.pyt... | apache-2.0 |
google/tf-quant-finance | tf_quant_finance/experimental/finite_difference/methods.py | 1 | 7596 | # Lint as: python3
# Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | apache-2.0 |
rishikksh20/scikit-learn | sklearn/metrics/classification.py | 7 | 72557 | """Metrics to assess performance on classification task given class prediction
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Alexandre Gramfort <alexandre.gramf... | bsd-3-clause |
jmargeta/scikit-learn | sklearn/cluster/tests/test_mean_shift.py | 8 | 2273 | """
Testing for mean shift clustering methods
"""
import numpy as np
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_true
from sklearn.cluster import MeanShift
from sklearn.cluster import mean_shift
from sklearn.cluster import estimate_bandwidth
from sklearn.cluster import ge... | bsd-3-clause |
crichardson17/emgtemp | Metals_Sims/z_u_sim_plots.py | 2 | 17136 | import matplotlib.pyplot as plt
import numpy as np
import urllib
import matplotlib.cm as cm
Low_Temp_Color = 'k'
Mid_Temp_Color = 'g'
High_Temp_Color = 'r'
#Temp_Color = 0.5
Cloudy_Sim_Color = 'cyan'
markersize = 40
SDSS_File = '/Users/compastro/jenkins/emgtemp/data/4363_gr_5_0_err_dered.csv'
SDSS_Data = np.genfromtxt(... | mit |
olologin/scikit-learn | sklearn/neighbors/graph.py | 14 | 6609 | """Nearest Neighbors graph functions"""
# Author: Jake Vanderplas <vanderplas@astro.washington.edu>
#
# License: BSD 3 clause (C) INRIA, University of Amsterdam
import warnings
from .base import KNeighborsMixin, RadiusNeighborsMixin
from .unsupervised import NearestNeighbors
def _check_params(X, metric, p, metric_... | bsd-3-clause |
wattlebird/pystruct | pystruct/tests/test_learners/test_frankwolfe_svm.py | 4 | 2266 | from tempfile import mkstemp
import numpy as np
from numpy.testing import assert_array_equal
from nose.tools import assert_less
from sklearn.datasets import load_iris
from sklearn.cross_validation import train_test_split
from pystruct.models import GridCRF, GraphCRF
from pystruct.datasets import generate_blocks_mult... | bsd-2-clause |
russel1237/scikit-learn | sklearn/tests/test_learning_curve.py | 225 | 10791 | # Author: Alexander Fabisch <afabisch@informatik.uni-bremen.de>
#
# License: BSD 3 clause
import sys
from sklearn.externals.six.moves import cStringIO as StringIO
import numpy as np
import warnings
from sklearn.base import BaseEstimator
from sklearn.learning_curve import learning_curve, validation_curve
from sklearn.u... | bsd-3-clause |
arjunkhode/ASP | lectures/05-Sinusoidal-model/plots-code/spec-sine-synthesis-lobe.py | 24 | 2626 | import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import hamming, triang, blackmanharris
from scipy.fftpack import fft, ifft
import math
import sys, os, functools, time
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), '../../../software/models/'))
import stft as STFT
import... | agpl-3.0 |
hodlin/BDA_py_demos | demos_ch5/demo5_2.py | 19 | 3326 | """Bayesian Data Analysis, 3rd ed
Chapter 5, demo 2
Hierarchical model for SAT-example data (BDA3, p. 102)
"""
from __future__ import division
import numpy as np
from scipy.stats import norm
import scipy.io # For importing a matlab file
import matplotlib.pyplot as plt
# Edit default plot settings (colours from colo... | gpl-3.0 |
ironmussa/Optimus | tests/creator/creator-profiler.py | 1 | 4785 | # -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# formats: ipynb,py:light
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.4'
# jupytext_version: 1.1.1
# kernel_info:
# name: python3
# kernelspec:
# display_name: Python 3
# language... | apache-2.0 |
bgamecho/arduino2android | Assets/Python/plot_battery.py | 1 | 4085 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 18 15:41:18 2014
@author: Sensores
"""
import sys
import time
from time import sleep
import datetime as dt
import matplotlib.pyplot as plt
import matplotlib.dates as md
from scipy.interpolate import interp1d
from scipy import interpolate
import operator
import numpy
impo... | apache-2.0 |
ChanderG/scikit-learn | sklearn/manifold/tests/test_mds.py | 324 | 1862 | import numpy as np
from numpy.testing import assert_array_almost_equal
from nose.tools import assert_raises
from sklearn.manifold import mds
def test_smacof():
# test metric smacof using the data of "Modern Multidimensional Scaling",
# Borg & Groenen, p 154
sim = np.array([[0, 5, 3, 4],
... | bsd-3-clause |
gpfreitas/bokeh | bokeh/sampledata/project_funding.py | 8 | 2986 | """Provides convenient access to data viz challenge data.
Source: https://github.com/localytics/data-viz-challenge
This dataset is excellent for testing and demonstrating data
viz capabilities because it contains numerous categorical
columns, with both high and low cardinality, columns with NaN
values, dates and loca... | bsd-3-clause |
pegasus-isi/pegasus | share/pegasus/init/population/scripts/county_cohort_raster.py | 1 | 9162 | #!/usr/bin/python3
import json
from collections import OrderedDict
import pandas as pd
from typing import Dict
import geopandas as gpd
import numpy as np
import rasterio
from rasterio import features
def main(no_data_val=-9999, fname_out='county_level_pop_out.tif', year=2017, grwth_rate_fct=0.0):
'''
'''
... | apache-2.0 |
marshallmcdonnell/interactive_plotting | TraitsUI/matplotlib/traitsui_mpl_qt.py | 2 | 2658 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Pierre Haessig — March 2014
"""
Qt adaptation of Gael Varoquaux's tutorial to integrate Matplotlib
http://docs.enthought.com/traitsui/tutorials/traits_ui_scientific_app.html#extending-traitsui-adding-a-matplotlib-figure-to-our-application
based on Qt-based code shared by Did... | mit |
herilalaina/scikit-learn | sklearn/utils/tests/test_random.py | 33 | 7334 | from __future__ import division
import numpy as np
import scipy.sparse as sp
from numpy.testing import assert_array_almost_equal
from sklearn.utils.random import sample_without_replacement
from sklearn.utils.random import random_choice_csc
from sklearn.utils.fixes import comb
from sklearn.utils.testing import (
a... | bsd-3-clause |
ina-foss/ID-Fits | lib/unstable/learning/large_margin_dimension_reduction.py | 1 | 4756 | # ID-Fits
# Copyright (c) 2015 Institut National de l'Audiovisuel, INA, All rights reserved.
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 3.0 of the License, or (at... | lgpl-3.0 |
beiko-lab/gengis | bin/Lib/site-packages/numpy/doc/creation.py | 1 | 5554 | """
==============
Array Creation
==============
Introduction
============
There are 5 general mechanisms for creating arrays:
1) Conversion from other Python structures (e.g., lists, tuples)
2) Intrinsic numpy array array creation objects (e.g., arange, ones, zeros,
etc.)
3) Reading arrays from disk... | gpl-3.0 |
pickus91/Logistic-Regression-Classifier-with-L2-Regularization | example.py | 1 | 2260 | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 20 12:35:34 2017
@author: pickus
Classification of data in the Breast Cancer Wisconsin dataset using the
LogisticRegression class with L2 regularization. More detailed information
on this dataset can be found at:
https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wi... | mit |
mrustl/flopy | examples/scripts/flopy_swi2_ex1.py | 1 | 5425 | from __future__ import print_function
import os
import sys
import math
import numpy as np
import flopy.modflow as mf
import flopy.utils as fu
import matplotlib.pyplot as plt
# --modify default matplotlib settings
updates = {'font.family':['Univers 57 Condensed', 'Arial'],
'mathtext.defau... | bsd-3-clause |
MPTCP-smartphone-thesis/pcap-measurement | difference_rtt_sfs.py | 1 | 5588 | #! /usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2015 Quentin De Coninck
#
# This program 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 of the License, or
# (at your option) any... | gpl-3.0 |
boomsbloom/dtm-fmri | DTM/for_gensim/lib/python2.7/site-packages/sklearn/linear_model/tests/test_bayes.py | 299 | 1770 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
#
# License: BSD 3 clause
import numpy as np
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import SkipTest
from sklearn.linear_model.bayes import BayesianRidge, ARDRegres... | mit |
benoitsteiner/tensorflow-xsmm | tensorflow/contrib/learn/python/learn/learn_io/pandas_io_test.py | 111 | 7865 | # 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... | apache-2.0 |
ubenu/Blits | src/blitspak/crux_table_model.py | 1 | 4139 | '''
Created on 18 Jan 2018
@author: schilsm
'''
from PyQt5 import QtCore as qt
import copy as cp
#from bokeh.layouts import column
class CruxTableModel(qt.QAbstractTableModel):
def __init__(self, df_data, checkable_cols=[]):
super(CruxTableModel, self).__init__()
self.df_data = df_data
... | gpl-3.0 |
jmargeta/scikit-learn | examples/plot_johnson_lindenstrauss_bound.py | 4 | 7402 | """
=====================================================================
The Johnson-Lindenstrauss bound for embedding with random projections
=====================================================================
The `Johnson-Lindenstrauss lemma`_ states that any high dimensional
dataset can be randomly projected in... | bsd-3-clause |
npdoty/bigbang | bigbang/graph.py | 2 | 4428 | from . import parse
import math
import numpy as np
import networkx as nx
import bigbang.process as process
# import matplotlib.pyplot as plt
from pprint import pprint as pp
from collections import Counter
import pandas
def messages_to_reply_graph(messages):
G = nx.DiGraph()
for m in messages:
mid = ... | agpl-3.0 |
rexshihaoren/scikit-learn | examples/covariance/plot_sparse_cov.py | 300 | 5078 | """
======================================
Sparse inverse covariance estimation
======================================
Using the GraphLasso estimator to learn a covariance and sparse precision
from a small number of samples.
To estimate a probabilistic model (e.g. a Gaussian model), estimating the
precision matrix, t... | bsd-3-clause |
VisTrails/VisTrails | scripts/dist/windows/Input/startup.py | 2 | 7926 | ###############################################################################
##
## Copyright (C) 2014-2016, New York University.
## Copyright (C) 2011-2014, NYU-Poly.
## Copyright (C) 2006-2011, University of Utah.
## All rights reserved.
## Contact: contact@vistrails.org
##
## This file is part of VisTrails.
##
## ... | bsd-3-clause |
chaluemwut/fbserver | filtercomputation.py | 1 | 5428 | # -*- coding: UTF-8 -*-
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from database import *
from crf import *
import sys, os, math
import numpy as np
import copy
from utilfile import FileUtil
class InstanceFilterData(object):
# print 'instanace'... | apache-2.0 |
cactusbin/nyt | matplotlib/examples/pylab_examples/line_collection2.py | 9 | 1327 | from pylab import *
from matplotlib.collections import LineCollection
# In order to efficiently plot many lines in a single set of axes,
# Matplotlib has the ability to add the lines all at once. Here is a
# simple example showing how it is done.
N = 50
x = arange(N)
# Here are many sets of y to plot vs x
ys = [x+i f... | unlicense |
jinghaomiao/apollo | modules/tools/routing/util.py | 3 | 3562 | #!/usr/bin/env python3
###############################################################################
# Copyright 2017 The Apollo 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... | apache-2.0 |
kagayakidan/scikit-learn | benchmarks/bench_multilabel_metrics.py | 276 | 7138 | #!/usr/bin/env python
"""
A comparison of multilabel target formats and metrics over them
"""
from __future__ import division
from __future__ import print_function
from timeit import timeit
from functools import partial
import itertools
import argparse
import sys
import matplotlib.pyplot as plt
import scipy.sparse as... | bsd-3-clause |
bhanu-mnit/EvoML | evoml/subsampling/evaluators.py | 1 | 11934 | # -*- coding: utf-8 -*-
"""
Copyright 2016 Bhanu Pratap and Harsh Nisar.
This file is part of the Evoml library.
The Evoml library is free software: you can redistribute it and/or modify it
under the terms of the GNU General Public License v3 or later.
Check the licesne file recieved along with the softwar... | gpl-3.0 |
altairpearl/scikit-learn | sklearn/tests/test_pipeline.py | 7 | 24571 | """
Test the pipeline module.
"""
import numpy as np
from scipy import sparse
from sklearn.externals.six.moves import zip
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_raises_regex
from sklearn.utils.testing import assert_raise_message
from sklearn.utils.testing import assert... | bsd-3-clause |
fspaolo/scikit-learn | benchmarks/bench_tree.py | 297 | 3617 | """
To run this, you'll need to have installed.
* scikit-learn
Does two benchmarks
First, we fix a training set, increase the number of
samples to classify and plot number of classified samples as a
function of time.
In the second benchmark, we increase the number of dimensions of the
training set, classify a sam... | bsd-3-clause |
HowDoIUseThis/AGNClassification | utils/filters/calculate_percent.py | 1 | 9132 | """
This module is used to calculate a probabilistic measure of AGN, SF, and Unknown
using a vecotorized gaussian PDF
"""
import math
import numpy as np
import pandas as pd
graph_type = {
'BPT': ['N_II/H_Alpha', 'O_III/H_Beta'],
'He_II': ['N_II/H_Alpha', 'He_II/H_Beta'],
'Ne_III/O_II': ['Ne_... | gpl-3.0 |
denimalpaca/293n | classifier_university_title.py | 1 | 5406 | from __future__ import print_function
import csv
import sys
from datetime import datetime
from sklearn import svm
from sklearn.ensemble import RandomForestRegressor
import numpy
import logging
import numpy as np
from optparse import OptionParser
import sys
from time import time
import matplotlib.pyplot as plt
from s... | gpl-3.0 |
WolfBerwouts/opengrid | opengrid/library/plotting.py | 2 | 6242 | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 26 18:03:24 2014
@author: KDB
"""
import numpy as np
import pandas as pd
import datetime as dt
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib.dates import date2num, num2date, HourLocator, DayLocator, AutoDateLocator, DateFormatter
from matplotl... | apache-2.0 |
jblackburne/scikit-learn | sklearn/utils/deprecation.py | 77 | 2417 | import warnings
__all__ = ["deprecated", ]
class deprecated(object):
"""Decorator to mark a function or class as deprecated.
Issue a warning when the function is called/the class is instantiated and
adds a warning to the docstring.
The optional extra argument will be appended to the deprecation mes... | bsd-3-clause |
liweitianux/atoolbox | python/plot.py | 1 | 1148 | # -*- coding: utf-8 -*-
#
# Credits: http://www.aosabook.org/en/matplotlib.html
#
# Aaron LI
# 2016-03-14
#
# Import the FigureCanvas from the backend of your choice
# and attach the Figure artist to it.
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
f... | mit |
aerwin3/swift | swift/common/middleware/xprofile.py | 3 | 9623 | # Copyright (c) 2010-2012 OpenStack, LLC.
#
# 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 applicable law or agreed to ... | apache-2.0 |
dingocuster/scikit-learn | benchmarks/bench_glm.py | 297 | 1493 | """
A comparison of different methods in GLM
Data comes from a random square matrix.
"""
from datetime import datetime
import numpy as np
from sklearn import linear_model
from sklearn.utils.bench import total_seconds
if __name__ == '__main__':
import pylab as pl
n_iter = 40
time_ridge = np.empty(n_it... | bsd-3-clause |
kwierman/osf.io | scripts/analytics/utils.py | 16 | 2605 | # -*- coding: utf-8 -*-
import os
import unicodecsv as csv
from bson import ObjectId
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import requests
from website import util
from website import settings as website_settings
def oid_to_datetime(oid):
return ObjectId(oid).generation_time
def ... | apache-2.0 |
crawfordsm/pysalt | saltfirst/FpRingWidget.py | 2 | 7308 | import numpy as np
import os, errno
from PyQt4 import QtGui,QtCore
import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QTAgg
from pyraf import iraf
import pyfits
from iraf import pysalt
from saltgui import MplCanvas
from erc_ring import fit_rings
from saltflat import saltfla... | bsd-3-clause |
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