repo_name string | path string | copies string | size string | content string | license string |
|---|---|---|---|---|---|
zrhans/pythonanywhere | .virtualenvs/django19/lib/python3.4/site-packages/pandas/tests/test_nanops.py | 9 | 40509 | # -*- coding: utf-8 -*-
from __future__ import division, print_function
from functools import partial
import warnings
import numpy as np
from pandas import Series
from pandas.core.common import isnull, is_integer_dtype
import pandas.core.nanops as nanops
import pandas.util.testing as tm
use_bn = nanops._USE_BOTTLENE... | apache-2.0 |
hvasbath/beat | beat/plotting.py | 1 | 171926 | from pymc3 import plots as pmp
from pymc3 import quantiles
import math
import os
import logging
import copy
from beat import utility
from beat.models import Stage, load_stage
from beat.models.corrections import StrainRateCorrection
from beat.sampler.metropolis import get_trace_stats
from beat.heart import (init_seis... | gpl-3.0 |
Delosari/dazer | bin/lib/Astro_Libraries/spectrum_fitting/plot_tools.py | 1 | 47742 | import numpy as np
import corner
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib import cm
from matplotlib import rcParams
from matplotlib import colors
from matplotlib.mlab import detrend_mean
from mpl_toolkits.mplot3d import Axes3D
from numpy import array, reshape, empty, ceil, ... | mit |
gfyoung/pandas | pandas/core/strings/accessor.py | 1 | 100231 | import codecs
from functools import wraps
import re
from typing import Dict, List, Optional
import warnings
import numpy as np
import pandas._libs.lib as lib
from pandas.util._decorators import Appender
from pandas.core.dtypes.common import (
ensure_object,
is_bool_dtype,
is_categorical_dtype,
is_int... | bsd-3-clause |
openDAQ/opendaq-gui | daq_control/main.py | 1 | 42392 | #!/usr/bin/env python
# Copyright 2012
# Adrian Alvarez <alvarez@ingen10.com> and Juan Menendez <juanmb@ingen10.com>
#
# This file is part of opendaq.
#
# opendaq 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 So... | lgpl-3.0 |
ai-se/george | testRig.py | 1 | 51380 | from __future__ import division,print_function
import sys, random, math
import numpy as np
from sklearn.tree import DecisionTreeClassifier , DecisionTreeRegressor
from sklearn.linear_model import LinearRegression
from lib import *
from where2 import *
import Technix.sk as sk
import Technix.CoCoMo as CoCoMo
import Techn... | mit |
pravsripad/mne-python | mne/dipole.py | 3 | 57802 | # -*- coding: utf-8 -*-
"""Single-dipole functions and classes."""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Eric Larson <larson.eric.d@gmail.com>
#
# License: Simplified BSD
from copy import deepcopy
import functools
from functools import partial
import re
import numpy as np
from .cov ... | bsd-3-clause |
jlowin/airflow | airflow/www/views.py | 1 | 92442 | # -*- coding: utf-8 -*-
#
# 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
... | apache-2.0 |
rsivapr/scikit-learn | sklearn/neighbors/tests/test_neighbors.py | 5 | 31813 | import warnings
from itertools import product
import numpy as np
from scipy.sparse import (bsr_matrix, coo_matrix, csc_matrix, csr_matrix,
dok_matrix, lil_matrix)
from sklearn.cross_validation import train_test_split
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.ut... | bsd-3-clause |
kenshay/ImageScript | ProgramData/SystemFiles/Python/Lib/site-packages/pandas/tests/types/test_inference.py | 7 | 31375 | # -*- coding: utf-8 -*-
"""
These the test the public routines exposed in types/common.py
related to inference and not otherwise tested in types/test_common.py
"""
import nose
import collections
import re
from datetime import datetime, date, timedelta, time
import numpy as np
import pandas as pd
from pandas import ... | gpl-3.0 |
tmpgit/intellij-community | python/helpers/pydev/pydevd.py | 4 | 99854 | #IMPORTANT: pydevd_constants must be the 1st thing defined because it'll keep a reference to the original sys._getframe
from __future__ import nested_scopes # Jython 2.1 support
import pydev_monkey_qt
from pydevd_utils import save_main_module
import pydevd_utils
pydev_monkey_qt.patch_qt()
import traceback
from pyde... | apache-2.0 |
louispotok/pandas | pandas/tests/tseries/offsets/test_offsets.py | 1 | 130504 | import os
from distutils.version import LooseVersion
from datetime import date, datetime, timedelta
import pytest
from pandas.compat import range
from pandas import compat
import numpy as np
from pandas.compat.numpy import np_datetime64_compat
from pandas.core.series import Series
from pandas._libs.tslibs.frequenci... | bsd-3-clause |
bmcfee/librosa | librosa/core/audio.py | 2 | 49849 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Core IO, DSP and utility functions."""
import pathlib
import warnings
import soundfile as sf
import audioread
import numpy as np
import scipy.signal
import resampy
from numba import jit
from .fft import get_fftlib
from .convert import frames_to_samples, time_to_sample... | isc |
ESSS/numpy | numpy/lib/function_base.py | 5 | 150005 | 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... | bsd-3-clause |
alexandrebarachant/mne-python | mne/preprocessing/maxwell.py | 2 | 84848 | # -*- coding: utf-8 -*-
# Authors: Mark Wronkiewicz <wronk.mark@gmail.com>
# Eric Larson <larson.eric.d@gmail.com>
# Jussi Nurminen <jnu@iki.fi>
# License: BSD (3-clause)
from math import factorial
from os import path as op
import numpy as np
from scipy import linalg
from .. import __version__
fr... | bsd-3-clause |
willettk/rgz-analysis | python/consensus_multi_ir.py | 2 | 57512 | from __future__ import division
'''
consensus.py
This is the collation and aggregation code for the Radio Galaxy Zoo project. The main
intent of the code is to take in the raw classifications generated by Ouroboros
(as a MongoDB file), combine classifications by independent users, and generate
a single cons... | mit |
tseaver/google-cloud-python | bigquery/google/cloud/bigquery/job.py | 1 | 124592 | # Copyright 2015 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | apache-2.0 |
JPFrancoia/scikit-learn | sklearn/utils/estimator_checks.py | 3 | 58667 | from __future__ import print_function
import types
import warnings
import sys
import traceback
import pickle
from copy import deepcopy
import numpy as np
from scipy import sparse
import struct
from sklearn.externals.six.moves import zip
from sklearn.externals.joblib import hash, Memory
from sklearn.utils.testing imp... | bsd-3-clause |
gregcaporaso/scikit-bio | skbio/stats/distance/_base.py | 1 | 44987 | # ----------------------------------------------------------------------------
# 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 |
e-q/scipy | scipy/signal/ltisys.py | 3 | 128113 | """
ltisys -- a collection of classes and functions for modeling linear
time invariant systems.
"""
#
# Author: Travis Oliphant 2001
#
# Feb 2010: Warren Weckesser
# Rewrote lsim2 and added impulse2.
# Apr 2011: Jeffrey Armstrong <jeff@approximatrix.com>
# Added dlsim, dstep, dimpulse, cont2discrete
# Aug 2013: Jua... | bsd-3-clause |
plotly/python-api | packages/python/plotly/plotly/graph_objs/scattercarpet/marker/_colorbar.py | 1 | 69857 | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class ColorBar(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scattercarpet.marker"
_path_str = "scattercarpet.marker.colorbar"
_valid_props = {
... | mit |
cxxgtxy/tensorflow | tensorflow/contrib/learn/python/learn/estimators/estimator_test.py | 1 | 46526 | # 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 |
zuku1985/scikit-learn | sklearn/externals/joblib/parallel.py | 33 | 32728 | """
Helpers for embarrassingly parallel code.
"""
# Author: Gael Varoquaux < gael dot varoquaux at normalesup dot org >
# Copyright: 2010, Gael Varoquaux
# License: BSD 3 clause
from __future__ import division
import os
import sys
from math import sqrt
import functools
import time
import threading
import itertools
fr... | bsd-3-clause |
asimshankar/tensorflow | tensorflow/contrib/metrics/python/ops/metric_ops_test.py | 17 | 282180 | # 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 |
ryfeus/lambda-packs | Pandas_numpy/source/pandas/io/sql.py | 1 | 58662 | # -*- coding: utf-8 -*-
"""
Collection of query wrappers / abstractions to both facilitate data
retrieval and to reduce dependency on DB-specific API.
"""
from __future__ import print_function, division
from datetime import datetime, date, time
import warnings
import re
import numpy as np
import pandas._libs.lib as ... | mit |
hyperion-rt/hyperion | hyperion/dust/dust_type.py | 1 | 31342 | ##############################################################################
#
# File format versions:
#
# 1: initial version
#
# 2: now contains reciprocal planck opacity and rosseland opacity
# previous rosseland opacity was actually reciprocal planck opacity
#
###############################################... | bsd-2-clause |
sauloal/cnidaria | scripts/venv/lib/python2.7/site-packages/pandas/sparse/tests/test_sparse.py | 1 | 67074 | # pylint: disable-msg=E1101,W0612
import operator
from datetime import datetime
import functools
import nose
from numpy import nan
import numpy as np
import pandas as pd
dec = np.testing.dec
from pandas.util.testing import (assert_almost_equal, assert_series_equal,
assert_frame_equa... | mit |
Designist/sympy | sympy/utilities/runtests.py | 34 | 81153 | """
This is our testing framework.
Goals:
* it should be compatible with py.test and operate very similarly
(or identically)
* doesn't require any external dependencies
* preferably all the functionality should be in this file only
* no magic, just import the test file and execute the test functions, that's it
* po... | bsd-3-clause |
xtotdam/leipzig-report | arrhenuis/arrhenius.py | 1 | 30926 | from scipy.stats import linregress
import numpy as np
from pprint import pprint
from matplotlib import pyplot as plt, ticker
import matplotlib.lines as mlines
import sys
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--skipplots', action='store_true', required=False, help='skip arrhen... | mit |
kambysese/mne-python | mne/decoding/transformer.py | 14 | 30673 | # -*- coding: utf-8 -*-
# Authors: Mainak Jas <mainak@neuro.hut.fi>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Romain Trachel <trachelr@gmail.com>
#
# License: BSD (3-clause)
import numpy as np
from .mixin import TransformerMixin
from .base import BaseEstimator
from .. import pick_types
f... | bsd-3-clause |
nan86150/ImageFusion | lib/python2.7/site-packages/matplotlib/axes/_base.py | 10 | 115150 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six.moves import xrange
import itertools
import warnings
import math
from operator import itemgetter
import numpy as np
from numpy import ma
import matplotlib
rcParams = matplotlib.rcParams
... | mit |
jesuscript/topo-mpi | contrib/jsldefs.py | 1 | 77574 | """
File containing definitions used by jude law.
"""
import topo
import matplotlib
import os, topo, __main__
import pylab
import numpy
from numpy import exp,zeros,ones,concatenate,median, abs,array,where, ravel
from pylab import save
import copy
import param
from math import pi, sqrt
from matplotlib.figure import Fig... | bsd-3-clause |
chrysante87/pyterpol | synthetic/makespectrum.py | 1 | 45773 | import os
import sys
import copy
import warnings
import numpy as np
import matplotlib.pyplot as plt
from astropy.constants import c
from auxiliary import is_within_interval
from auxiliary import instrumental_broadening
from auxiliary import interpolate_spec
from auxiliary import interpolate_block_faster
from auxiliary ... | gpl-2.0 |
rousseab/pymatgen | pymatgen/symmetry/bandstructure.py | 1 | 32428 | # coding: utf-8
from __future__ import division, unicode_literals
"""
Created on March 25, 2013
@author: geoffroy
"""
import numpy as np
from math import ceil
from math import cos
from math import sin
from math import tan
from math import pi
from warnings import warn
from pymatgen.symmetry.analyzer import Spacegro... | mit |
giorgiop/scikit-learn | sklearn/linear_model/ridge.py | 13 | 51357 | """
Ridge regression
"""
# Author: Mathieu Blondel <mathieu@mblondel.org>
# Reuben Fletcher-Costin <reuben.fletchercostin@gmail.com>
# Fabian Pedregosa <fabian@fseoane.net>
# Michael Eickenberg <michael.eickenberg@nsup.org>
# License: BSD 3 clause
from abc import ABCMeta, abstractmethod
impor... | bsd-3-clause |
vnaidu/loan-status | src/vn_datasci/blagging.py | 1 | 35981 | """B(l)agging meta-estimator, modified to handle imbalanced distributions."""
# Based on bagging.py.
# Original Author: Gilles Louppe <g.louppe@gmail.com>
# License: BSD 3 clause
#
# Adaptations by Tom Fawcett <tfawcett@acm.org>, noted as TEF inline.
#
# NOTE: This is NOT an official file of sklearn. It is based on
#... | mit |
dato-code/numpy | numpy/core/tests/test_multiarray.py | 4 | 198902 | from __future__ import division, absolute_import, print_function
import collections
import tempfile
import sys
import os
import shutil
import warnings
import operator
import io
if sys.version_info[0] >= 3:
import builtins
else:
import __builtin__ as builtins
from decimal import Decimal
import numpy as np
fro... | bsd-3-clause |
s-good/AutoQC | tests/EN_track_validation.py | 1 | 70742 | # Recall parameters are queried from the database in the order uid, year, month, day, time, lat, long, probe
import util.main as main
import os, math
from wodpy import wod
import numpy, pandas
import util.testingProfile
import qctests.EN_track_check
import util.geo
class TestClass():
distRes = 20000. #meters
... | mit |
fabianp/scikit-learn | sklearn/metrics/classification.py | 28 | 67703 | """Metrics to assess performance on classification task given classe 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.gram... | bsd-3-clause |
rerpy/rerpy | rerpy/events.py | 1 | 47408 | # This file is part of rERPy
# Copyright (C) 2012-2013 Nathaniel Smith <njs@pobox.com>
# See file LICENSE.txt for license information.
# Need to put this somewhere, so...
#
# NOTES ON SQLITE3 TRANSACTION HANDLING
# -------------------------------------
#
# The Python sqlite3 module has really confusing transaction beh... | gpl-2.0 |
hitszxp/scikit-learn | sklearn/tests/test_cross_validation.py | 2 | 41896 | """Test the cross_validation module"""
from __future__ import division
import warnings
import numpy as np
from scipy.sparse import coo_matrix
from scipy import stats
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_equal
from sklearn... | bsd-3-clause |
pong3489/TEST_Mission | Lib/site-packages/numpy/lib/polynomial.py | 58 | 35930 | """
Functions to operate on polynomials.
"""
__all__ = ['poly', 'roots', 'polyint', 'polyder', 'polyadd',
'polysub', 'polymul', 'polydiv', 'polyval', 'poly1d',
'polyfit', 'RankWarning']
import re
import warnings
import numpy.core.numeric as NX
from numpy.core import isscalar, abs, finfo, atleas... | gpl-3.0 |
tudorian/eden | controllers/msg.py | 3 | 80678 | # -*- coding: utf-8 -*-
"""
Messaging Module - Controllers
"""
module = request.controller
resourcename = request.function
if not settings.has_module(module):
raise HTTP(404, body="Module disabled: %s" % module)
# -----------------------------------------------------------------------------
def index():
... | mit |
f3r/scikit-learn | sklearn/metrics/tests/test_classification.py | 20 | 50188 | from __future__ import division, print_function
import numpy as np
from scipy import linalg
from functools import partial
from itertools import product
import warnings
from sklearn import datasets
from sklearn import svm
from sklearn.datasets import make_multilabel_classification
from sklearn.preprocessing import la... | bsd-3-clause |
Kate-Willett/HadISDH_Marine_Build | ANALYSIS_PLOTS/MakeObsCountList_APR2016.py | 1 | 53529 | #!/usr/local/sci/bin/python
# PYTHON2.7
#
# Author: Kate Willett
# Created: 23 April 2016
# Last update: 23 April 2016
# Location: /data/local/hadkw/HADCRUH2/MARINE/EUSTACEMDS/EUSTACE_SST_MAT/
# GitHub: https://github.com/Kate-Willett/HadISDH_Marine_Build/
# -----------------------
# CODE PURPOSE AND OUTPUT
# ---... | cc0-1.0 |
woodscn/scipy | scipy/stats/stats.py | 9 | 179575 | # Copyright (c) Gary Strangman. All rights reserved
#
# Disclaimer
#
# This software is provided "as-is". There are no expressed or implied
# warranties of any kind, including, but not limited to, the warranties
# of merchantability and fitness for a given application. In no event
# shall Gary Strangman be liable fo... | bsd-3-clause |
astrofrog/numpy | numpy/lib/polynomial.py | 12 | 37449 | """
Functions to operate on polynomials.
"""
__all__ = ['poly', 'roots', 'polyint', 'polyder', 'polyadd',
'polysub', 'polymul', 'polydiv', 'polyval', 'poly1d',
'polyfit', 'RankWarning']
import re
import warnings
import numpy.core.numeric as NX
from numpy.core import isscalar, abs, finfo, atleas... | bsd-3-clause |
rstoneback/pysat | pysat/tests/test_files.py | 2 | 45371 | """
tests the pysat meta object and code
"""
import glob
import numpy as np
import os
import sys
from nose.tools import raises
import pandas as pds
import tempfile
import pysat
import pysat.instruments.pysat_testing
if sys.version_info[0] >= 3:
from importlib import reload as re_load
else:
re_load = reload
... | bsd-3-clause |
gotgenes/BiologicalProcessNetworks | scripts/summarize_bpns.py | 1 | 97780 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
# Copyright (c) 2011 Christopher D. Lasher
#
# This software is released under the MIT License. Please see
# LICENSE.txt for details.
"""Calculates the overlap between significant links."""
import collections
import datetime
import itertools
import logging
import math
... | mit |
uglyboxer/linear_neuron | net-p3/lib/python3.5/site-packages/sklearn/tree/tree.py | 1 | 33517 | """
This module gathers tree-based methods, including decision, regression and
randomized trees. Single and multi-output problems are both handled.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Da... | mit |
ashhher3/scikit-learn | sklearn/preprocessing/data.py | 3 | 39819 | # 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>
# License: BSD 3 clause
from itertools import chain, combinations
import numbers
import numpy as np
f... | bsd-3-clause |
vlas-sokolov/pyspeckit | pyspeckit/spectrum/models/model.py | 1 | 47916 | """
=============================
Generic SpectralModel wrapper
=============================
.. moduleauthor:: Adam Ginsburg <adam.g.ginsburg@gmail.com>
"""
import numpy as np
from pyspeckit.mpfit import mpfit,mpfitException
from pyspeckit.spectrum.parinfo import ParinfoList,Parinfo
import copy
from astropy import log... | mit |
lthurlow/Network-Grapher | proj/external/numpy-1.7.0/build/lib.linux-i686-2.7/numpy/fft/fftpack.py | 9 | 39261 | """
Discrete Fourier Transforms
Routines in this module:
fft(a, n=None, axis=-1)
ifft(a, n=None, axis=-1)
rfft(a, n=None, axis=-1)
irfft(a, n=None, axis=-1)
hfft(a, n=None, axis=-1)
ihfft(a, n=None, axis=-1)
fftn(a, s=None, axes=None)
ifftn(a, s=None, axes=None)
rfftn(a, s=None, axes=None)
irfftn(a, s=None, axes=None... | mit |
TNick/pyl2extra | pyl2extra/models/overfeat_class_labels.py | 1 | 42789 | # -*- coding: utf-8 -*-
"""
This module was retreived from
https://github.com/sklearn-theano/sklearn-theano/blob/master/sklearn_theano/feature_extraction/overfeat_class_labels.py
The content of the LICENSE file follows:
Copyright (c) 2014, Kyle Kastner and Michael Eickenberg
All rights reserved.
Redistribution and u... | bsd-3-clause |
jmontoyam/mne-python | mne/channels/channels.py | 2 | 36805 | # Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Matti Hamalainen <msh@nmr.mgh.harvard.edu>
# Denis Engemann <denis.engemann@gmail.com>
# Andrew Dykstra <andrew.r.dykstra@gmail.com>
# Teon Brooks <teon.brooks@gmail.com>
#
# License: BSD (3-clause)
import os
... | bsd-3-clause |
asnorkin/sentiment_analysis | site/lib/python2.7/site-packages/sklearn/tree/tree.py | 7 | 44619 | """
This module gathers tree-based methods, including decision, regression and
randomized trees. Single and multi-output problems are both handled.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Da... | mit |
ashmanmode/TTSDNNRepo | src/work_in_progress/oliver/run_tpdnn.py | 3 | 102468 |
import cPickle
import gzip
import os, sys, errno
import time
import math
# numpy & theano imports need to be done in this order (only for some numpy installations, not sure why)
import numpy
# we need to explicitly import this in some cases, not sure why this doesn't get imported with numpy itself
import numpy.distu... | apache-2.0 |
pratapvardhan/pandas | pandas/core/dtypes/cast.py | 1 | 44306 | """ routings for casting """
from datetime import datetime, timedelta
import numpy as np
import warnings
from pandas._libs import tslib, lib
from pandas._libs.tslib import iNaT
from pandas.compat import string_types, text_type, PY3
from .common import (_ensure_object, is_bool, is_integer, is_float,
... | bsd-3-clause |
Newman101/scipy | scipy/interpolate/interpolate.py | 14 | 104866 | """ Classes for interpolating values.
"""
from __future__ import division, print_function, absolute_import
__all__ = ['interp1d', 'interp2d', 'spline', 'spleval', 'splmake', 'spltopp',
'ppform', 'lagrange', 'PPoly', 'BPoly', 'NdPPoly',
'RegularGridInterpolator', 'interpn']
import itertools
fro... | bsd-3-clause |
RobertABT/heightmap | build/matplotlib/lib/matplotlib/colorbar.py | 4 | 47866 | '''
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 ... | mit |
dssg/wikienergy | disaggregator/build/pandas/pandas/tests/test_generic.py | 1 | 52839 | # -*- coding: utf-8 -*-
# pylint: disable-msg=E1101,W0612
from datetime import datetime, timedelta
import nose
import numpy as np
from numpy import nan
import pandas as pd
from pandas import (Index, Series, DataFrame, Panel,
isnull, notnull, date_range, period_range)
from pandas.core.index import ... | mit |
Dronecode/MAVProxy | MAVProxy/modules/lib/MacOS/backend_wx.py | 6 | 72673 | from __future__ import division, print_function
"""
A wxPython backend for matplotlib, based (very heavily) on
backend_template.py and backend_gtk.py
Author: Jeremy O'Donoghue (jeremy@o-donoghue.com)
Derived from original copyright work by John Hunter
(jdhunter@ace.bsd.uchicago.edu)
Copyright (C) Jeremy O'Dono... | gpl-3.0 |
gclenaghan/scikit-learn | sklearn/externals/joblib/parallel.py | 17 | 35626 | """
Helpers for embarrassingly parallel code.
"""
# Author: Gael Varoquaux < gael dot varoquaux at normalesup dot org >
# Copyright: 2010, Gael Varoquaux
# License: BSD 3 clause
from __future__ import division
import os
import sys
import gc
import warnings
from math import sqrt
import functools
import time
import thr... | bsd-3-clause |
Neurosim-lab/netpyne | netpyne/metadata/metadata.py | 1 | 132453 | """
Module containing NetPyNE metadata
"""
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
metadata = {
# ---------------------------------------... | mit |
astocko/statsmodels | statsmodels/emplike/descriptive.py | 8 | 38775 | """
Empirical likelihood inference on descriptive statistics
This module conducts hypothesis tests and constructs confidence
intervals for the mean, variance, skewness, kurtosis and correlation.
If matplotlib is installed, this module can also generate multivariate
confidence region plots as well as mean-variance con... | bsd-3-clause |
xray/xray | xarray/tests/test_coding_times.py | 1 | 33660 | import warnings
from itertools import product
import numpy as np
import pandas as pd
import pytest
from pandas.errors import OutOfBoundsDatetime
from xarray import DataArray, Dataset, Variable, coding, decode_cf
from xarray.coding.times import (
cftime_to_nptime,
decode_cf_datetime,
encode_cf_datetime,
... | apache-2.0 |
mapillary/OpenSfM | opensfm/stats.py | 1 | 31368 | import datetime
import math
import os
import random
import statistics
from collections import defaultdict
from functools import lru_cache
import matplotlib as mpl
import matplotlib.cm as cm
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import numpy as np
from opensfm import io, multiview, feature_... | bsd-2-clause |
sampadsaha5/sympy | sympy/utilities/runtests.py | 7 | 82184 | """
This is our testing framework.
Goals:
* it should be compatible with py.test and operate very similarly
(or identically)
* doesn't require any external dependencies
* preferably all the functionality should be in this file only
* no magic, just import the test file and execute the test functions, that's it
* po... | bsd-3-clause |
matteobachetti/srt-single-dish-tools | srttools/imager.py | 1 | 58021 | """Produce calibrated images.
``SDTimage`` is a script that, given a list of cross scans composing an
on-the-fly map, is able to calculate the map and save it in FITS format after
cleaning the data.
"""
from __future__ import (absolute_import, division,
print_function)
import numpy as np
impor... | bsd-3-clause |
Featuretools/featuretools | featuretools/tests/synthesis/test_deep_feature_synthesis.py | 1 | 50179 | import copy
import pandas as pd
import pytest
import featuretools as ft
from featuretools.feature_base import (
AggregationFeature,
DirectFeature,
IdentityFeature,
TransformFeature
)
from featuretools.primitives import ( # CumMean,
Absolute,
AddNumeric,
Count,
CumCount,
CumMean,
... | bsd-3-clause |
numpy/numpy | numpy/lib/function_base.py | 2 | 162009 | import collections.abc
import functools
import re
import sys
import warnings
import numpy as np
import numpy.core.numeric as _nx
from numpy.core import transpose
from numpy.core.numeric import (
ones, zeros_like, arange, concatenate, array, asarray, asanyarray, empty,
ndarray, around, floor, ceil, take, dot, w... | bsd-3-clause |
ryfeus/lambda-packs | Tensorflow_Pandas_Numpy/source3.6/pandas/plotting/_core.py | 1 | 126105 | # being a bit too dynamic
# pylint: disable=E1101
from __future__ import division
import warnings
import re
from collections import namedtuple
from distutils.version import LooseVersion
import numpy as np
from pandas.util._decorators import cache_readonly
import pandas.core.common as com
from pandas.core.base import... | mit |
astrofrog/hyperion | hyperion/model/analytical_yso_model.py | 1 | 30768 | from __future__ import print_function, division
from copy import deepcopy
import numpy as np
from . import Model
from ..densities import FlaredDisk, AlphaDisk, PowerLawEnvelope, UlrichEnvelope, AmbientMedium
from ..util.interpolate import interp1d_fast_loglog
from ..util.constants import pi, sigma, c, G
from ..sourc... | bsd-2-clause |
lovexiaov/SandwichApp | .eggs/py2app-0.9-py2.7.egg/py2app/build_app.py | 9 | 77527 | """
Mac OS X .app build command for distutils
Originally (loosely) based on code from py2exe's build_exe.py by Thomas Heller.
"""
from __future__ import print_function
import imp
import sys
import os
import zipfile
import plistlib
import shlex
import shutil
import textwrap
import pkg_resources
import collections
from... | apache-2.0 |
jzt5132/scikit-learn | sklearn/grid_search.py | 61 | 37197 | """
The :mod:`sklearn.grid_search` includes utilities to fine-tune the parameters
of an estimator.
"""
from __future__ import print_function
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>,
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Andreas Mueller <amueller@ais.uni-bonn.de>
# ... | bsd-3-clause |
strint/tensorflow | tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined_test.py | 2 | 64729 | # 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 |
leylabmpi/pyTecanFluent | pyTecanFluent/Map2Robot.py | 1 | 30410 | from __future__ import print_function
# import
## batteries
import os
import re
import sys
import argparse
import functools
from itertools import product,cycle
## 3rd party
import numpy as np
import pandas as pd
## package
from pyTecanFluent import Utils
from pyTecanFluent import Fluent
from pyTecanFluent import Labwar... | mit |
jakobworldpeace/scikit-learn | sklearn/svm/tests/test_svm.py | 19 | 35876 | """
Testing for Support Vector Machine module (sklearn.svm)
TODO: remove hard coded numerical results when possible
"""
import numpy as np
import itertools
from numpy.testing import assert_array_equal, assert_array_almost_equal
from numpy.testing import assert_almost_equal
from numpy.testing import assert_allclose
fro... | bsd-3-clause |
robert-digit/superset | superset/connectors/druid/models.py | 1 | 39487 | # pylint: disable=invalid-unary-operand-type
from collections import OrderedDict
import json
import logging
from copy import deepcopy
from datetime import datetime, timedelta
from six import string_types
import requests
import sqlalchemy as sa
from sqlalchemy import (
Column, Integer, String, ForeignKey, Text, Boo... | apache-2.0 |
chrsrds/scikit-learn | sklearn/linear_model/tests/test_ridge.py | 1 | 43025 | import numpy as np
import scipy.sparse as sp
from scipy import linalg
from itertools import product
import pytest
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_allclose
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert... | bsd-3-clause |
DailyActie/Surrogate-Model | 01-codes/scikit-learn-master/sklearn/model_selection/tests/test_search.py | 1 | 30845 | """Test the search module"""
import pickle
import sys
from collections import Iterable, Sized
from itertools import chain, product
import numpy as np
import scipy.sparse as sp
from scipy.stats import bernoulli, expon, uniform
from sklearn.base import BaseEstimator
from sklearn.datasets import make_blobs
from sklearn.... | mit |
vitaliykomarov/NEUCOGAR | nest/noradrenaline/nest-2.10.0/topology/pynest/hl_api.py | 9 | 67672 | # -*- coding: utf-8 -*-
#
# hl_api.py
#
# This file is part of NEST.
#
# Copyright (C) 2004 The NEST Initiative
#
# NEST 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 2 of the License, or
# (a... | gpl-2.0 |
hsiaoyi0504/scikit-learn | sklearn/metrics/tests/test_common.py | 27 | 44210 | from __future__ import division, print_function
from functools import partial
from itertools import product
import numpy as np
import scipy.sparse as sp
from sklearn.datasets import make_multilabel_classification
from sklearn.preprocessing import LabelBinarizer, MultiLabelBinarizer
from sklearn.utils.multiclass impo... | bsd-3-clause |
jseabold/statsmodels | statsmodels/graphics/gofplots.py | 1 | 34471 | from statsmodels.compat.python import lzip
import numpy as np
from scipy import stats
from statsmodels.distributions import ECDF
from statsmodels.regression.linear_model import OLS
from statsmodels.tools.decorators import cache_readonly
from statsmodels.tools.tools import add_constant
from . import utils
__all__ = ... | bsd-3-clause |
bringingheavendown/numpy | numpy/core/tests/test_multiarray.py | 1 | 259254 | from __future__ import division, absolute_import, print_function
import collections
import tempfile
import sys
import shutil
import warnings
import operator
import io
import itertools
import functools
import ctypes
import os
import gc
from contextlib import contextmanager
if sys.version_info[0] >= 3:
import builti... | bsd-3-clause |
hugobowne/scikit-learn | sklearn/svm/tests/test_svm.py | 29 | 31448 | """
Testing for Support Vector Machine module (sklearn.svm)
TODO: remove hard coded numerical results when possible
"""
import numpy as np
import itertools
from numpy.testing import assert_array_equal, assert_array_almost_equal
from numpy.testing import assert_almost_equal
from scipy import sparse
from nose.tools im... | bsd-3-clause |
18padx08/PPTex | PPTexEnv_x86_64/lib/python2.7/site-packages/matplotlib/backends/backend_ps.py | 10 | 62836 | """
A PostScript backend, which can produce both PostScript .ps and .eps
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six.moves import StringIO
import glob, math, os, shutil, sys, time
def _fn_name(): return sys._getframe(1).f_code.c... | mit |
omeed-maghzian/mtag | ldsc_mod/munge_sumstats.py | 1 | 31956 | #!/usr/bin/env python
from __future__ import division
from __future__ import absolute_import
import pandas as pd
import numpy as np
import os
import sys
import traceback
import gzip
import bz2
import argparse
from scipy.stats import chi2
import logging
from ldsc_mod.ldscore import allele_info
import time
np.seterr(inva... | gpl-3.0 |
Erotemic/ibeis | ibeis/other/detectcore.py | 1 | 34726 | # -*- coding: utf-8 -*-
"""Developer convenience functions for ibs (detections).
TODO: need to split up into sub modules:
consistency_checks
feasibility_fixes
move the export stuff to dbio
then there are also convineience functions that need to be ordered at least
within this file
"""
from __futur... | apache-2.0 |
jpautom/scikit-learn | sklearn/ensemble/tests/test_gradient_boosting.py | 14 | 39946 | """
Testing for the gradient boosting module (sklearn.ensemble.gradient_boosting).
"""
import warnings
import numpy as np
from itertools import product
from scipy.sparse import csr_matrix
from scipy.sparse import csc_matrix
from scipy.sparse import coo_matrix
from sklearn import datasets
from sklearn.base import clo... | bsd-3-clause |
zaxtax/scikit-learn | sklearn/gaussian_process/gpc.py | 42 | 31571 | """Gaussian processes classification."""
# Authors: Jan Hendrik Metzen <jhm@informatik.uni-bremen.de>
#
# License: BSD 3 clause
import warnings
from operator import itemgetter
import numpy as np
from scipy.linalg import cholesky, cho_solve, solve
from scipy.optimize import fmin_l_bfgs_b
from scipy.special import erf... | bsd-3-clause |
mayavanand/RMMAFinalProject | azimuth/util.py | 2 | 45317 | import pandas
import matplotlib.pylab as plt
import scipy.stats
import scipy as sp
import numpy as np
import itertools
import sklearn.metrics
import Bio.SeqUtils.MeltingTemp as Tm
import Bio.Entrez as Entrez
import Bio.SeqUtils as SeqUtil
import features.microhomology as microhomology
from Bio import SeqIO
import metri... | bsd-3-clause |
18padx08/PPTex | PPTexEnv_x86_64/lib/python2.7/site-packages/matplotlib/colors.py | 10 | 57606 | """
A module for converting numbers or color arguments to *RGB* or *RGBA*
*RGB* and *RGBA* are sequences of, respectively, 3 or 4 floats in the
range 0-1.
This module includes functions and classes for color specification
conversions, and for mapping numbers to colors in a 1-D array of colors called
a colormap. Color... | mit |
Akshay0724/scikit-learn | sklearn/metrics/tests/test_common.py | 7 | 43069 | from __future__ import division, print_function
from functools import partial
from itertools import product
import numpy as np
import scipy.sparse as sp
from sklearn.datasets import make_multilabel_classification
from sklearn.preprocessing import LabelBinarizer
from sklearn.utils.multiclass import type_of_target
fro... | bsd-3-clause |
mistercrunch/panoramix | superset/db_engine_specs/base.py | 1 | 52473 | # 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 u... | apache-2.0 |
rwgdrummer/maskgen | maskgen/tool_set.py | 1 | 138337 | # =============================================================================
# Authors: PAR Government
# Organization: DARPA
#
# Copyright (c) 2016 PAR Government
# All rights reserved.
# ==============================================================================
import imghdr
import math
import platform
import ... | bsd-3-clause |
raoulbq/scipy | scipy/stats/_distn_infrastructure.py | 6 | 112709 | #
# Author: Travis Oliphant 2002-2011 with contributions from
# SciPy Developers 2004-2011
#
from __future__ import division, print_function, absolute_import
from scipy._lib.six import string_types, exec_
import sys
import keyword
import re
import inspect
import types
import warnings
from scipy.misc impor... | bsd-3-clause |
anhaidgroup/py_entitymatching | py_entitymatching/tests/test_catalog.py | 1 | 33641 | import os
from nose.tools import *
import unittest
import pandas as pd
import numpy as np
from py_entitymatching.utils.generic_helper import get_install_path
import py_entitymatching.catalog.catalog_manager as cm
import py_entitymatching.utils.catalog_helper as ch
from py_entitymatching.io.parsers import read_csv_meta... | bsd-3-clause |
jyhmiinlin/cineFSE | GeRaw/pfileparser.py | 1 | 125830 | import matplotlib.pyplot
import numpy
# import correctmotion
#import nitime.algorithms.spectral
# N=256
# width = 3
# n_bases= 30
# v,e = nitime.algorithms.spectral.dpss_windows(N,width, n_bases )
# print(v.shape)
import AverageHermitian
# from Im2Polar import *
'''
Created on 2013/1/14
@author: sr... | gpl-3.0 |
mjudsp/Tsallis | sklearn/linear_model/ridge.py | 4 | 49614 | """
Ridge regression
"""
# Author: Mathieu Blondel <mathieu@mblondel.org>
# Reuben Fletcher-Costin <reuben.fletchercostin@gmail.com>
# Fabian Pedregosa <fabian@fseoane.net>
# Michael Eickenberg <michael.eickenberg@nsup.org>
# License: BSD 3 clause
from abc import ABCMeta, abstractmethod
impor... | bsd-3-clause |
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