repo_name stringlengths 7 92 | path stringlengths 5 149 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 911 693k | license stringclasses 15
values |
|---|---|---|---|---|---|
nuclear-wizard/moose | test/tests/time_integrators/scalar/run.py | 12 | 4487 | #!/usr/bin/env python3
#* This file is part of the MOOSE framework
#* https://www.mooseframework.org
#*
#* All rights reserved, see COPYRIGHT for full restrictions
#* https://github.com/idaholab/moose/blob/master/COPYRIGHT
#*
#* Licensed under LGPL 2.1, please see LICENSE for details
#* https://www.gnu.org/licenses/lgp... | lgpl-2.1 |
OSU-CS-325/Project_Two_Coin_Change | run-files/analysisQ7.py | 1 | 2957 | import sys
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import random
import datetime
# Import the three change making algorithms
sys.path.insert(0, "../divide-conquer/")
sys.path.insert(0, "../dynamic-programming")
sys.path.insert(0, "../greedy")
from changeslow import changeslow
from chan... | mit |
stormvirux/vturra-cli | vturra/asys.py | 1 | 1936 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# from scipy import stats
# import statsmodels.api as sm
# from numpy.random import randn
import matplotlib as mpl
# import seaborn as sns
# sns.set_color_palette("deep", desat=.6)
mpl.rc("figure", fig... | mit |
abhishekkrthakur/scikit-learn | examples/svm/plot_oneclass.py | 249 | 2302 | """
==========================================
One-class SVM with non-linear kernel (RBF)
==========================================
An example using a one-class SVM for novelty detection.
:ref:`One-class SVM <svm_outlier_detection>` is an unsupervised
algorithm that learns a decision function for novelty detection:
... | bsd-3-clause |
sssundar/Drone | rotation/viz.py | 1 | 5332 | # Python script to visualize rotation about a non-body axis.
# Let the lab frame be the inertial frame S.
# Let the origin of the rigid body be O, in the inertial frame S'.
# Let r_ss' be the vector from S to S'.
# Let the body frame relative to O be S''.
# Consider a fixed point on the body, r_s' in S', and r_s'' in... | gpl-3.0 |
Dwii/Master-Thesis | implementation/Palabos/cavity_benchmark/plot_benchmark.py | 1 | 1854 | # Display a list of *.dat files in a bar chart.
# Based on an example from https://chrisalbon.com/python/matplotlib_grouped_bar_plot.html
import sys
import os
import matplotlib.pyplot as plt
import numpy as np
if len(sys.argv) > 3 and (len(sys.argv)-3) % 2 :
print("usage: python3 {0} <benchmark> <image path> (<da... | mit |
wanggang3333/scikit-learn | sklearn/tests/test_kernel_approximation.py | 244 | 7588 | import numpy as np
from scipy.sparse import csr_matrix
from sklearn.utils.testing import assert_array_equal, assert_equal, assert_true
from sklearn.utils.testing import assert_not_equal
from sklearn.utils.testing import assert_array_almost_equal, assert_raises
from sklearn.utils.testing import assert_less_equal
from ... | bsd-3-clause |
AxelTLarsson/robot-localisation | robot_localisation/main.py | 1 | 6009 | """
This module contains the logic to run the simulation.
"""
import sys
import os
import argparse
import numpy as np
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from robot_localisation.grid import Grid, build_transition_matrix
from robot_localisation.robot import Robot, Sensor
from robot_localisatio... | mit |
mutirri/bokeh | bokeh/cli/core.py | 42 | 16025 | from __future__ import absolute_import, print_function
import sys, os
from six.moves.urllib import request as urllib2
from six.moves import cStringIO as StringIO
import pandas as pd
try:
import click
is_click = True
except ImportError:
is_click = False
from . import help_messages as hm
from .utils import... | bsd-3-clause |
yukisakurai/hhana | mva/plotting/utils.py | 1 | 4190 | import ROOT
from itertools import izip
from matplotlib import cm
from rootpy.plotting.style.atlas.labels import ATLAS_label
from rootpy.memory.keepalive import keepalive
from .. import ATLAS_LABEL
def set_colors(hists, colors='jet'):
if isinstance(colors, basestring):
colors = cm.get_cmap(colors, len(hist... | gpl-3.0 |
Achuth17/scikit-learn | sklearn/neighbors/tests/test_kd_tree.py | 129 | 7848 | import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.neighbors.kd_tree import (KDTree, NeighborsHeap,
simultaneous_sort, kernel_norm,
nodeheap_sort, DTYPE, ITYPE)
from sklearn.neighbors.dist_metrics import Dista... | bsd-3-clause |
taotaocoule/stock | spider/data/bond.py | 1 | 1159 | # 国债指数：id=0000121;http://pdfm2.eastmoney.com/EM_UBG_PDTI_Fast/api/js?id=0000121&TYPE=k&js=(x)&rtntype=5&isCR=false&fsData1518154947301=fsData1518154947301
# 沪市企业: id=0000131;http://pdfm2.eastmoney.com/EM_UBG_PDTI_Fast/api/js?id=0000131&TYPE=k&js=(x)&rtntype=5&isCR=false&fsData1518156740923=fsData1518156740923
# 深圳企业：... | mit |
shyamalschandra/scikit-learn | sklearn/neighbors/nearest_centroid.py | 38 | 7356 | # -*- 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 |
Loisel/tmr3 | tmr.py | 1 | 15096 | #!/usr/bin/python
"""
A module to calculate the current, the conductance and the TMR from
a set of rate arrays.
The rate arrays are supposed to be stored in a h5 file in the job directory.
The result is stored in a h5 file. The name of the dataset contains all
parameters. They are also stored as attributes in the datas... | gpl-3.0 |
dariox2/CADL | session-5/libs/stylenet.py | 4 | 11350 | """Style Net w/ tests for Video Style Net.
Video Style Net requires OpenCV 3.0.0+ w/ Contrib for Python to be installed.
Creative Applications of Deep Learning w/ Tensorflow.
Kadenze, Inc.
Copyright Parag K. Mital, June 2016.
"""
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import os
fro... | apache-2.0 |
jayhetee/dask | dask/array/numpy_compat.py | 9 | 1606 | import numpy as np
try:
isclose = np.isclose
except AttributeError:
def isclose(*args, **kwargs):
raise RuntimeError("You need numpy version 1.7 or greater to use "
"isclose.")
try:
full = np.full
except AttributeError:
def full(shape, fill_value, dtype=None, order=N... | bsd-3-clause |
google/brain-tokyo-workshop | WANNRelease/prettyNEAT/vis/lplot.py | 2 | 2027 | """
Laconic plot functions to replace some of the matplotlibs verbosity
"""
from matplotlib import pyplot as plt
import numpy as np
import seaborn as sns
# -- File I/O ------------------------------------------------------------ -- #
def lsave(data,fileName):
np.savetxt(fileName, data, delimiter=',',fmt='%1.2e') ... | apache-2.0 |
samstern/Greengraph | Greengraph/tests/test_maps.py | 1 | 2937 | from ..greengraph import Greengraph
from ..map import Map
import geopy
from nose.tools import assert_equal, assert_almost_equal
import numpy.testing as np_test
from mock import Mock, patch
import requests
from matplotlib import image
import yaml
import os
import numpy as np
#@patch.object(Greengraph, 'location_sequen... | mit |
uqyge/combustionML | FPV_ANN_pureResNet/data_reader_2.py | 1 | 5981 | import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler, StandardScaler
class data_scaler(object):
def __init__(self):
self.norm = None
self.norm_1 = None
self.std = None
self.case = None
self.scale = 1
self.bias = 1e-20
# ... | mit |
andyh616/mne-python | mne/tests/test_epochs.py | 1 | 71695 | # Author: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis Engemann <denis.engemann@gmail.com>
#
# License: BSD (3-clause)
import os.path as op
from copy import deepcopy
from nose.tools import (assert_true, assert_equal, assert_raises,
assert_not_equal)
from numpy.... | bsd-3-clause |
yl565/statsmodels | statsmodels/examples/ex_scatter_ellipse.py | 39 | 1367 | '''example for grid of scatter plots with probability ellipses
Author: Josef Perktold
License: BSD-3
'''
from statsmodels.compat.python import lrange
import numpy as np
import matplotlib.pyplot as plt
from statsmodels.graphics.plot_grids import scatter_ellipse
nvars = 6
mmean = np.arange(1.,nvars+1)/nvars * 1.5
... | bsd-3-clause |
ijmarshall/cochrane-nlp | quality4.py | 1 | 73371 | from tokenizer import sent_tokenizer, word_tokenizer
import biviewer
import pdb
import re
import progressbar
import collections
import string
from unidecode import unidecode
import codecs
import yaml
from pprint import pprint
import numpy as np
import math
import difflib
import sklearn
from sklearn.feature_extracti... | gpl-3.0 |
harshaneelhg/scikit-learn | examples/linear_model/plot_lasso_lars.py | 363 | 1080 | #!/usr/bin/env python
"""
=====================
Lasso path using LARS
=====================
Computes Lasso Path along the regularization parameter using the LARS
algorithm on the diabetes dataset. Each color represents a different
feature of the coefficient vector, and this is displayed as a function
of the regulariza... | bsd-3-clause |
bestwpw/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 |
otmaneJai/Zipline | zipline/sources/data_frame_source.py | 26 | 5253 | #
# Copyright 2015 Quantopian, 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 wr... | apache-2.0 |
i19870503/i19870503 | Python/eggnog2go_anno.py | 1 | 2591 | import os
import re
import pandas as pd
import string
import itertools
import numpy as np
import sys
import argparse
from collections import OrderedDict
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Create GO annotation and enrichment file')
parser.add_argument('-i',type=str,dest='i... | gpl-2.0 |
CCI-Tools/cate-core | cate/ops/index.py | 1 | 8641 |
# The MIT License (MIT)
# Copyright (c) 2016, 2017 by the ESA CCI Toolbox development team and contributors
#
# 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 w... | mit |
huobaowangxi/scikit-learn | sklearn/mixture/tests/test_dpgmm.py | 261 | 4490 | import unittest
import sys
import numpy as np
from sklearn.mixture import DPGMM, VBGMM
from sklearn.mixture.dpgmm import log_normalize
from sklearn.datasets import make_blobs
from sklearn.utils.testing import assert_array_less, assert_equal
from sklearn.mixture.tests.test_gmm import GMMTester
from sklearn.externals.s... | bsd-3-clause |
chungjjang80/FRETBursts | fretbursts/burstlib.py | 1 | 133746 | #
# FRETBursts - A single-molecule FRET burst analysis toolkit.
#
# Copyright (C) 2013-2016 The Regents of the University of California,
# Antonino Ingargiola <tritemio@gmail.com>
#
"""
This module contains all the main FRETBursts analysis functions.
`burstslib.py` defines the fundamental object `Data()`... | gpl-2.0 |
CoolProp/CoolProp | dev/scripts/viscosity_builder.py | 2 | 3895 | from math import sqrt, exp
from CoolProp.CoolProp import Props
import numpy as np
import matplotlib.pyplot as plt
from scipy.odr import *
from math import log
E_K = {'REFPROP-Ammonia': 386,
'REFPROP-Argon': 143.2
}
SIGMA = {'REFPROP-Ammonia': 0.2957,
'REFPROP-Argon': 0.335
}
E_K['REFPRO... | mit |
sniemi/SamPy | sandbox/src1/examples/font_indexing.py | 4 | 1299 | """
A little example that shows how the various indexing into the font
tables relate to one another. Mainly for mpl developers....
"""
import matplotlib
from matplotlib.ft2font import FT2Font, KERNING_DEFAULT, KERNING_UNFITTED, KERNING_UNSCALED
#fname = '/usr/share/fonts/sfd/FreeSans.ttf'
fname = matplotlib.get_da... | bsd-2-clause |
edhuckle/statsmodels | statsmodels/examples/example_enhanced_boxplots.py | 33 | 3179 |
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.api as sm
# Necessary to make horizontal axis labels fit
plt.rcParams['figure.subplot.bottom'] = 0.23
data = sm.datasets.anes96.load_pandas()
party_ID = np.arange(7)
labels = ["Strong Democrat", "Weak Democr... | bsd-3-clause |
Tahsin-Mayeesha/Udacity-Machine-Learning-Nanodegree | projects/titanic_survival_exploration/titanic_visualizations.py | 24 | 5425 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def filter_data(data, condition):
"""
Remove elements that do not match the condition provided.
Takes a data list as input and returns a filtered list.
Conditions should be a list of strings of the following format:
'<field> <... | mit |
google/material-design-icons | update/venv/lib/python3.9/site-packages/fontTools/varLib/plot.py | 5 | 4153 | """Visualize DesignSpaceDocument and resulting VariationModel."""
from fontTools.varLib.models import VariationModel, supportScalar
from fontTools.designspaceLib import DesignSpaceDocument
from matplotlib import pyplot
from mpl_toolkits.mplot3d import axes3d
from itertools import cycle
import math
import logging
impor... | apache-2.0 |
cauchycui/scikit-learn | examples/mixture/plot_gmm_pdf.py | 284 | 1528 | """
=============================================
Density Estimation for a mixture of Gaussians
=============================================
Plot the density estimation of a mixture of two Gaussians. Data is
generated from two Gaussians with different centers and covariance
matrices.
"""
import numpy as np
import ma... | bsd-3-clause |
xubenben/scikit-learn | examples/manifold/plot_lle_digits.py | 181 | 8510 | """
=============================================================================
Manifold learning on handwritten digits: Locally Linear Embedding, Isomap...
=============================================================================
An illustration of various embeddings on the digits dataset.
The RandomTreesEmbed... | bsd-3-clause |
tequa/ammisoft | ammimain/WinPython-64bit-2.7.13.1Zero/python-2.7.13.amd64/Lib/site-packages/mpl_toolkits/axes_grid1/anchored_artists.py | 10 | 12803 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from matplotlib import docstring
from matplotlib.offsetbox import (AnchoredOffsetbox, AnchoredText,
AnnotationBbox, AuxTransformBox, DrawingArea,
... | bsd-3-clause |
mganeva/mantid | qt/applications/workbench/workbench/widgets/plotselector/presenter.py | 1 | 15293 | # 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
# SPDX - License - Identifier: GPL - 3.0 +
# This file is part of the mantid workbench.... | gpl-3.0 |
wangkua1/sportvu | sportvu/detection_from_raw_pred.py | 1 | 3391 | """detection_from_raw_pred.py
* not super useful, a simple script that plots a) raw pred, b) gt pnr, c) detector output
at 1 single setting
Usage:
detection_from_raw_pred.py <fold_index> <f_data_config> <f_model_config> <f_detect_config> --train
Arguments:
Example:
"""
from __future__ import absolute_import
from ... | mit |
nolanliou/tensorflow | tensorflow/contrib/losses/python/metric_learning/metric_loss_ops_test.py | 41 | 20535 | # Copyright 2017 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 |
Edu-Glez/Bank_sentiment_analysis | env/lib/python3.6/site-packages/ipykernel/kernelapp.py | 5 | 19344 | """An Application for launching a kernel"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import print_function
import atexit
import os
import sys
import signal
import traceback
import logging
from tornado import ioloop
import zmq
from zmq.event... | apache-2.0 |
jorik041/scikit-learn | sklearn/tests/test_common.py | 127 | 7665 | """
General tests for all estimators in sklearn.
"""
# Authors: Andreas Mueller <amueller@ais.uni-bonn.de>
# Gael Varoquaux gael.varoquaux@normalesup.org
# License: BSD 3 clause
from __future__ import print_function
import os
import warnings
import sys
import pkgutil
from sklearn.externals.six import PY3
fr... | bsd-3-clause |
tortugueta/multilayers | examples/radcenter_distribution.py | 1 | 8087 | # -*- coding: utf-8 -*-
"""
Name : radcenter_distribution
Author : Joan Juvert <trust.no.one.51@gmail.com>
Version : 1.0
Description : This script calculates the influence of the distribution of
: radiative centers in the active layer on the observed
: spectrum.
Copyright 2012 J... | gpl-3.0 |
dpshelio/sunpy | examples/units_and_coordinates/planet_locations.py | 1 | 1252 | """
===================================
Getting the location of the planets
===================================
How to get the position of planetary bodies im the solar system using
`astropy's solar system ephemeris <http://docs.astropy.org/en/stable/coordinates/solarsystem.html#solar-system-ephemerides>`__ informatio... | bsd-2-clause |
armgilles/open-moulinette | caf/scripts/PajeCom.py | 2 | 2407 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 2 13:47:48 2015
@author: GILLES Armand
"""
import pandas as pd
import glob
df = pd.read_csv('source/PajeCom2009.csv', sep=";")
df.columns = ['Communes', 'Codes_Insee', 'NB_Allocataires_2009',
'ALL_PAJE_2009', 'ALL_PRIM_2009', 'ALL_BASEP_2009',
... | mit |
mxjl620/scikit-learn | sklearn/decomposition/tests/test_sparse_pca.py | 160 | 6028 | # Author: Vlad Niculae
# License: BSD 3 clause
import sys
import numpy as np
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import SkipTest
from sklearn.utils.testing import ass... | bsd-3-clause |
google-research/google-research | smu/parser/smu_utils_lib_test.py | 1 | 35529 | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# 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 |
kgullikson88/TS23-Scripts | CheckSyntheticTemperature.py | 1 | 14868 | import os
import re
from collections import defaultdict
from operator import itemgetter
import logging
import pandas
from scipy.interpolate import InterpolatedUnivariateSpline as spline
from george import kernels
import matplotlib.pyplot as plt
import numpy as np
import george
import emcee
import StarData
import Spect... | gpl-3.0 |
codester2/devide.johannes | install_packages/ip_matplotlib.py | 5 | 5932 | # Copyright (c) Charl P. Botha, TU Delft.
# All rights reserved.
# See COPYRIGHT for details.
import config
from install_package import InstallPackage
import os
import shutil
import sys
import utils
from distutils import sysconfig
MPL_VER = "1.1.0"
if os.name == 'posix':
MPL_ARCHIVE = "matplotlib-%s.tar.gz" % (M... | bsd-3-clause |
vshtanko/scikit-learn | examples/neural_networks/plot_rbm_logistic_classification.py | 258 | 4609 | """
==============================================================
Restricted Boltzmann Machine features for digit classification
==============================================================
For greyscale image data where pixel values can be interpreted as degrees of
blackness on a white background, like handwritten... | bsd-3-clause |
nixingyang/Kaggle-Competitions | TalkingData AdTracking Fraud Detection/perform_ensembling.py | 1 | 2489 | import os
import glob
import shutil
import datetime
import numpy as np
import pandas as pd
# Dataset
PROJECT_NAME = "TalkingData AdTracking Fraud Detection"
PROJECT_FOLDER_PATH = os.path.join(os.path.expanduser("~"), "Documents/Dataset",
PROJECT_NAME)
# Submission
TEAM_NAME = "Auror... | mit |
flennerhag/mlens | mlens/externals/sklearn/validation.py | 1 | 27114 | """
Scikit-learn utilities for input validation.
"""
# Authors: Olivier Grisel
# Gael Varoquaux
# Andreas Mueller
# Lars Buitinck
# Alexandre Gramfort
# Nicolas Tresegnie
# License: BSD 3 clause
import warnings
import numbers
import numpy as np
import scipy.sparse as sp... | mit |
matousc89/padasip | padasip/filters/nlmf.py | 1 | 5444 | """
.. versionadded:: 1.1.0
The least-mean-fourth (LMF) adaptive filter implemented according to the
paper :cite:`zerguine2000convergence`. The NLMF is an extension of the LMF
adaptive filter (:ref:`filter-lmf`).
The NLMF filter can be created as follows
>>> import padasip as pa
>>> pa.filters.FilterNLMF(n)
... | mit |
LevinJ/Supply-demand-forecasting | implement/xgboostmodel.py | 1 | 4070 | import sys
import os
sys.path.insert(0, os.path.abspath('..'))
from preprocess.preparedata import PrepareData
import numpy as np
from utility.runtype import RunType
from utility.datafilepath import g_singletonDataFilePath
from preprocess.splittrainvalidation import HoldoutSplitMethod
import xgboost as xgb
from evaluat... | mit |
anntzer/scikit-learn | sklearn/linear_model/_passive_aggressive.py | 2 | 17363 | # Authors: Rob Zinkov, Mathieu Blondel
# License: BSD 3 clause
from ..utils.validation import _deprecate_positional_args
from ._stochastic_gradient import BaseSGDClassifier
from ._stochastic_gradient import BaseSGDRegressor
from ._stochastic_gradient import DEFAULT_EPSILON
class PassiveAggressiveClassifier(BaseSGDCl... | bsd-3-clause |
cloud-fan/spark | python/pyspark/pandas/data_type_ops/base.py | 1 | 12265 | #
# 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 |
Vimos/scikit-learn | benchmarks/bench_random_projections.py | 397 | 8900 | """
===========================
Random projection benchmark
===========================
Benchmarks for random projections.
"""
from __future__ import division
from __future__ import print_function
import gc
import sys
import optparse
from datetime import datetime
import collections
import numpy as np
import scipy.s... | bsd-3-clause |
jcchin/MagnePlane | src/hyperloop/Python/ticket_cost.py | 4 | 8796 | from __future__ import print_function
import numpy as np
from openmdao.api import IndepVarComp, Component, Group, Problem, ExecComp
import matplotlib.pylab as plt
class TicketCost(Component):
'''
Notes
-------
This Component takes into account various cost figures from the system model and combines them to estima... | apache-2.0 |
jdmcbr/geopandas | benchmarks/sindex.py | 2 | 3488 | from shapely.geometry import Point
from geopandas import read_file, datasets, GeoSeries
# Derive list of valid query predicates based on underlying index backend;
# we have to create a non-empty instance of the index to get these
index = GeoSeries([Point(0, 0)]).sindex
predicates = sorted(p for p in index.valid_quer... | bsd-3-clause |
abhisg/scikit-learn | sklearn/linear_model/bayes.py | 220 | 15248 | """
Various bayesian regression
"""
from __future__ import print_function
# Authors: V. Michel, F. Pedregosa, A. Gramfort
# License: BSD 3 clause
from math import log
import numpy as np
from scipy import linalg
from .base import LinearModel
from ..base import RegressorMixin
from ..utils.extmath import fast_logdet, p... | bsd-3-clause |
clarkfitzg/xray | setup.py | 2 | 4581 | #!/usr/bin/env python
import os
import re
import sys
import warnings
from setuptools import setup, find_packages
MAJOR = 0
MINOR = 5
MICRO = 1
ISRELEASED = False
VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO)
QUALIFIER = ''
DISTNAME = 'xray'
LICENSE = 'Apache'
AUTHOR = 'xray Developers'
AUTHOR_EMAIL = 'xray-dev@goog... | apache-2.0 |
shangwuhencc/scikit-learn | examples/svm/plot_svm_anova.py | 250 | 2000 | """
=================================================
SVM-Anova: SVM with univariate feature selection
=================================================
This example shows how to perform univariate feature before running a SVC
(support vector classifier) to improve the classification scores.
"""
print(__doc__)
import... | bsd-3-clause |
rbalda/neural_ocr | env/lib/python2.7/site-packages/matplotlib/compat/subprocess.py | 19 | 2827 | """
A replacement wrapper around the subprocess module, with a number of
work-arounds:
- Provides the check_output function (which subprocess only provides from Python
2.7 onwards).
- Provides a stub implementation of subprocess members on Google App Engine
(which are missing in subprocess).
Instead of importing s... | mit |
ycaihua/scikit-learn | sklearn/preprocessing/tests/test_imputation.py | 28 | 11950 | 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.utils.testing import assert_false
from sklearn.utils.testing import assert_true
from sklearn.preprocessing.imputa... | bsd-3-clause |
SamStudio8/scikit-bio | skbio/sequence/tests/test_sequence.py | 2 | 106092 | # ----------------------------------------------------------------------------
# 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 |
kagayakidan/scikit-learn | examples/linear_model/plot_lasso_and_elasticnet.py | 249 | 1982 | """
========================================
Lasso and Elastic Net for Sparse Signals
========================================
Estimates Lasso and Elastic-Net regression models on a manually generated
sparse signal corrupted with an additive noise. Estimated coefficients are
compared with the ground-truth.
"""
print(... | bsd-3-clause |
yavalvas/yav_com | build/matplotlib/lib/mpl_examples/pylab_examples/centered_ticklabels.py | 6 | 1355 | # sometimes it is nice to have ticklabels centered. mpl currently
# associates a label with a tick, and the label can be aligned
# 'center', 'left', or 'right' using the horizontal alignment property:
#
#
# for label in ax.xaxis.get_xticklabels():
# label.set_horizontalalignment('right')
#
#
# but this doesn't... | mit |
mne-tools/mne-tools.github.io | 0.21/_downloads/ae7d4d6bcae82f99a78c3f8a0c94f7b0/plot_mne_inverse_envelope_correlation.py | 3 | 4522 | """
.. _ex-envelope-correlation:
=============================================
Compute envelope correlations in source space
=============================================
Compute envelope correlations of orthogonalized activity [1]_ [2]_ in source
space using resting state CTF data.
"""
# Authors: Eric Larson <larso... | bsd-3-clause |
dsquareindia/scikit-learn | examples/model_selection/plot_confusion_matrix.py | 63 | 3231 | """
================
Confusion matrix
================
Example of confusion matrix usage to evaluate the quality
of the output of a classifier on the iris data set. The
diagonal elements represent the number of points for which
the predicted label is equal to the true label, while
off-diagonal elements are those that ... | bsd-3-clause |
lindemann09/pyForceDAQ | forceDAQ/data_handling/read_force_data.py | 1 | 2147 | """
Functions to read your force and event data
"""
__author__ = 'Oliver Lindemann'
import os
import sys
import gzip
from collections import OrderedDict
import numpy as np
TAG_COMMENTS = "#"
TAG_UDPDATA = TAG_COMMENTS + "UDP"
TAG_DAQEVENTS = TAG_COMMENTS + "T"
def _csv(line):
return list(map(lambda x: x.strip(... | mit |
cemarchi/biosphere | Src/BioAnalyzer/Analysis/GenePrioritization/Steps/DataIntegration/IntermediateRepresentation/Transformers/MicroRnaToGeneTransformer.py | 1 | 4546 | import math
import statistics
from itertools import groupby
from random import randint
from typing import Dict, Tuple, Counter
import pandas as pd
from Src.BioAnalyzer.Analysis.GenePrioritization.Steps.DataIntegration.IntermediateRepresentation.Generators import \
IntermediateRepresentationGeneratorBase
from Src.... | bsd-3-clause |
phobson/statsmodels | statsmodels/datasets/randhie/data.py | 3 | 2650 | """RAND Health Insurance Experiment Data"""
__docformat__ = 'restructuredtext'
COPYRIGHT = """This is in the public domain."""
TITLE = __doc__
SOURCE = """
The data was collected by the RAND corporation as part of the Health
Insurance Experiment (HIE).
http://www.rand.org/health/projects/hie.html
This ... | bsd-3-clause |
pr-omethe-us/PyKED | pyked/chemked.py | 1 | 44185 | """
Main ChemKED module
"""
# Standard libraries
from os.path import exists
from collections import namedtuple
from warnings import warn
from copy import deepcopy
import xml.etree.ElementTree as etree
import xml.dom.minidom as minidom
from itertools import chain
import numpy as np
# Local imports
from .validation imp... | bsd-3-clause |
chen0031/Dato-Core | src/unity/python/graphlab/test/test_sarray_sketch.py | 13 | 11788 | '''
Copyright (C) 2015 Dato, Inc.
All rights reserved.
This software may be modified and distributed under the terms
of the BSD license. See the DATO-PYTHON-LICENSE file for details.
'''
# from nose import with_setup
# -*- coding: utf-8 -*-
from graphlab.data_structures.sarray import SArray
import pandas as pd
import ... | agpl-3.0 |
tomlof/scikit-learn | examples/plot_digits_pipe.py | 65 | 1652 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Pipelining: chaining a PCA and a logistic regression
=========================================================
The PCA does an unsupervised dimensionality reduction, while the logistic
regression does the predictio... | bsd-3-clause |
mdhaber/scipy | scipy/optimize/_lsq/least_squares.py | 12 | 39190 | """Generic interface for least-squares minimization."""
from warnings import warn
import numpy as np
from numpy.linalg import norm
from scipy.sparse import issparse, csr_matrix
from scipy.sparse.linalg import LinearOperator
from scipy.optimize import _minpack, OptimizeResult
from scipy.optimize._numdiff import approx... | bsd-3-clause |
chrisburr/scikit-learn | examples/linear_model/plot_sgd_loss_functions.py | 73 | 1232 | """
==========================
SGD: convex loss functions
==========================
A plot that compares the various convex loss functions supported by
:class:`sklearn.linear_model.SGDClassifier` .
"""
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
def modified_huber_loss(y_true, y_pred):
z ... | bsd-3-clause |
stylianos-kampakis/scikit-learn | sklearn/manifold/tests/test_spectral_embedding.py | 216 | 8091 | from nose.tools import assert_true
from nose.tools import assert_equal
from scipy.sparse import csr_matrix
from scipy.sparse import csc_matrix
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_array_equal
from nose.tools import assert_raises
from nose.plugins.skip import SkipTest
from sk... | bsd-3-clause |
aerokappa/SantaClaus | handCodedOptimum_v4.py | 1 | 2216 | import numpy as np
import pandas as pd
from processInput import processInput
def handCodedOptimum_v4 ( ):
fileName = 'gifts.csv'
giftList, giftListSummary = processInput( fileName )
packedBags = []
for i in np.arange(1000):
print i
currentBag = []
i... | mit |
combust-ml/mleap | python/tests/pyspark/feature/math_binary_test.py | 2 | 6892 | import math
import os
import shutil
import tempfile
import unittest
import mleap.pyspark # noqa
from mleap.pyspark.spark_support import SimpleSparkSerializer # noqa
import pandas as pd
from pandas.testing import assert_frame_equal
from pyspark.ml import Pipeline
from pyspark.sql.types import FloatType
from pyspark.... | apache-2.0 |
ryfeus/lambda-packs | Pandas_numpy/source/pandas/core/sorting.py | 6 | 15948 | """ miscellaneous sorting / groupby utilities """
import numpy as np
from pandas.compat import long, string_types, PY3
from pandas.core.dtypes.common import (
_ensure_platform_int,
_ensure_int64,
is_list_like,
is_categorical_dtype)
from pandas.core.dtypes.cast import infer_dtype_from_array
from pandas.... | mit |
WilliamDiakite/ExperimentationsACA | processing/lsa.py | 1 | 3364 |
import os
import sys
import itertools
import operator
import nltk
import numpy as np
import matplotlib.pyplot as plt
from nltk.util import ngrams
from collections import Counter
from spell_checker import SpellChecker
from sklearn.decomposition import TruncatedSVD
from sklearn.pipeline import make_pipeline
from skle... | mit |
JaviMerino/lisa | libs/utils/analysis/frequency_analysis.py | 1 | 24894 | # SPDX-License-Identifier: Apache-2.0
#
# Copyright (C) 2015, ARM Limited and contributors.
#
# 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
#
# ... | apache-2.0 |
pglomski/shopnotes | drill_speed_chart.py | 1 | 2778 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
'''Produce a custom twist drill plot'''
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
plt.rc('text', usetex=True)
# set some rcParams
mpl.rcParams['font.weight'] = 'bold'
mpl.rcParams['xtick.major.pad'] = 10
mpl.rcParams['xtick.direction'] =... | agpl-3.0 |
raghavrv/scikit-learn | examples/decomposition/plot_pca_iris.py | 49 | 1511 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
PCA example with Iris Data-set
=========================================================
Principal Component Analysis applied to the Iris dataset.
See `here <https://en.wikipedia.org/wiki/Iris_flower_data_set>`_ f... | bsd-3-clause |
LiaoPan/scikit-learn | examples/applications/plot_outlier_detection_housing.py | 243 | 5577 | """
====================================
Outlier detection on a real data set
====================================
This example illustrates the need for robust covariance estimation
on a real data set. It is useful both for outlier detection and for
a better understanding of the data structure.
We selected two sets o... | bsd-3-clause |
LarsDu/DeepNuc | deepnuc/nucbinaryclassifier.py | 2 | 15464 | import tensorflow as tf
import numpy as np
import sklearn.metrics as metrics
#from databatcher import DataBatcher
import nucconvmodel
#import dubiotools as dbt
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pprint
from itertools import cycle
import os
import sys
#Logging imports
fro... | gpl-3.0 |
valexandersaulys/prudential_insurance_kaggle | venv/lib/python2.7/site-packages/pandas/io/tests/test_common.py | 9 | 2087 | """
Tests for the pandas.io.common functionalities
"""
from pandas.compat import StringIO
import os
from os.path import isabs
import nose
import pandas.util.testing as tm
from pandas.io import common
try:
from pathlib import Path
except ImportError:
pass
try:
from py.path import local as LocalPath
e... | gpl-2.0 |
bdh1011/wau | venv/lib/python2.7/site-packages/pandas/io/tests/test_sql.py | 1 | 93879 | """SQL io tests
The SQL tests are broken down in different classes:
- `PandasSQLTest`: base class with common methods for all test classes
- Tests for the public API (only tests with sqlite3)
- `_TestSQLApi` base class
- `TestSQLApi`: test the public API with sqlalchemy engine
- `TestSQLiteFallbackApi`: t... | mit |
Pragmatismo/TimelapsePi-EasyControl | webcamcap_show_numpy.py | 1 | 8684 | #!/usr/bin/python
import time
import os
import sys
import pygame
import numpy
from PIL import Image, ImageDraw, ImageChops
print("")
print("")
print(" USE l=3 to take a photo every 3 somethings, try a 1000 or 2")
print(" t to take triggered photos ")
print(" cap=/home/pi/folder/ to set caps path other than c... | gpl-2.0 |
SMTorg/smt | smt/surrogate_models/tests/test_surrogate_model_examples.py | 2 | 17391 | """
Author: John Hwang <<hwangjt@umich.edu>>
This package is distributed under New BSD license.
"""
import unittest
import matplotlib
matplotlib.use("Agg")
try:
from smt.surrogate_models import IDW, RBF, RMTB, RMTC
compiled_available = True
except:
compiled_available = False
class Test(unittest.Tes... | bsd-3-clause |
hainm/scipy | scipy/stats/_discrete_distns.py | 34 | 21220 | #
# Author: Travis Oliphant 2002-2011 with contributions from
# SciPy Developers 2004-2011
#
from __future__ import division, print_function, absolute_import
from scipy import special
from scipy.special import entr, gammaln as gamln
from scipy.misc import logsumexp
from numpy import floor, ceil, log, exp, ... | bsd-3-clause |
chinageology/GeoPython | Experimental/PreTreat.py | 2 | 6940 | # coding:utf-8
import math
import sys
import os
import csv
import random
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
from sklearn import datasets
from sklearn.decomposition import PCA
from sklearn.neighbors import NearestNeighbors
import matplotlib
impo... | gpl-3.0 |
tmhm/scikit-learn | examples/model_selection/plot_roc_crossval.py | 247 | 3253 | """
=============================================================
Receiver Operating Characteristic (ROC) with cross validation
=============================================================
Example of Receiver Operating Characteristic (ROC) metric to evaluate
classifier output quality using cross-validation.
ROC curv... | bsd-3-clause |
endrebak/epic | tests/run/test_merge_chip_and_input.py | 1 | 4225 | import pytest
import pandas as pd
import numpy as np
import logging
from io import StringIO
from joblib import delayed, Parallel
@pytest.fixture
def input_data():
pass
@pytest.fixture
def expected_result():
pass
def merge_chip_and_input(windows, nb_cpu):
"""Merge lists of chromosome bin df chromosom... | mit |
rlpy/rlpy | rlpy/Representations/LocalBases.py | 1 | 7491 | """
Representations which use local bases function (e.g. kernels) distributed
in the statespace according to some scheme (e.g. grid, random, on previous
samples)
"""
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
from ... | bsd-3-clause |
valexandersaulys/airbnb_kaggle_contest | venv/lib/python3.4/site-packages/numpy/lib/function_base.py | 7 | 134697 | from __future__ import division, absolute_import, print_function
import warnings
import sys
import collections
import operator
import numpy as np
import numpy.core.numeric as _nx
from numpy.core import linspace, atleast_1d, atleast_2d
from numpy.core.numeric import (
ones, zeros, arange, concatenate, array, asarr... | gpl-2.0 |
Agent007/deep-learning | image-classification/helper.py | 155 | 5631 | import pickle
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import LabelBinarizer
def _load_label_names():
"""
Load the label names from file
"""
return ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']
def load_cfar10_batch(ci... | mit |
JanNash/sms-tools | lectures/06-Harmonic-model/plots-code/spectral-peaks.py | 22 | 1161 | import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import hamming, triang, blackmanharris
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
(fs, x) = UF... | agpl-3.0 |
rosswhitfield/mantid | qt/python/mantidqt/widgets/sliceviewer/test/test_sliceviewer_presenter.py | 3 | 24997 | # 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 +
# T... | gpl-3.0 |
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