repo_name stringlengths 6 67 | path stringlengths 5 185 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 1.02k 962k | license stringclasses 15
values |
|---|---|---|---|---|---|
dimkal/mne-python | tutorials/plot_cluster_1samp_test_time_frequency.py | 16 | 4759 | """
.. _tut_stats_cluster_sensor_1samp_tfr:
===============================================================
Non-parametric 1 sample cluster statistic on single trial power
===============================================================
This script shows how to estimate significant clusters
in time-frequency power est... | bsd-3-clause |
0asa/scikit-learn | sklearn/utils/testing.py | 2 | 22085 | """Testing utilities."""
# Copyright (c) 2011, 2012
# Authors: Pietro Berkes,
# Andreas Muller
# Mathieu Blondel
# Olivier Grisel
# Arnaud Joly
# Denis Engemann
# License: BSD 3 clause
import os
import inspect
import pkgutil
import warnings
import sys
import re
import platf... | bsd-3-clause |
bnaul/scikit-learn | sklearn/ensemble/tests/test_weight_boosting.py | 9 | 21205 | """Testing for the boost module (sklearn.ensemble.boost)."""
import numpy as np
import pytest
from scipy.sparse import csc_matrix
from scipy.sparse import csr_matrix
from scipy.sparse import coo_matrix
from scipy.sparse import dok_matrix
from scipy.sparse import lil_matrix
from sklearn.utils._testing import assert_a... | bsd-3-clause |
ioreshnikov/wells | publish_xfrog.py | 1 | 2084 | #!/usr/bin/env python3
import argparse
import scipy as s
import scipy.fftpack as fft
import matplotlib.pyplot as plot
import wells.publisher as publisher
parser = argparse.ArgumentParser()
parser.add_argument("--t",
type=float,
help="Time at which diagram should be plotted")
... | mit |
rajat1994/scikit-learn | sklearn/covariance/graph_lasso_.py | 127 | 25626 | """GraphLasso: sparse inverse covariance estimation with an l1-penalized
estimator.
"""
# Author: Gael Varoquaux <gael.varoquaux@normalesup.org>
# License: BSD 3 clause
# Copyright: INRIA
import warnings
import operator
import sys
import time
import numpy as np
from scipy import linalg
from .empirical_covariance_ im... | bsd-3-clause |
Achuth17/scikit-learn | sklearn/metrics/__init__.py | 52 | 3394 | """
The :mod:`sklearn.metrics` module includes score functions, performance metrics
and pairwise metrics and distance computations.
"""
from .ranking import auc
from .ranking import average_precision_score
from .ranking import coverage_error
from .ranking import label_ranking_average_precision_score
from .ranking imp... | bsd-3-clause |
gigglesninja/senior-design | MissionPlanner/Lib/site-packages/numpy/lib/recfunctions.py | 58 | 34495 | """
Collection of utilities to manipulate structured arrays.
Most of these functions were initially implemented by John Hunter for matplotlib.
They have been rewritten and extended for convenience.
"""
import sys
import itertools
import numpy as np
import numpy.ma as ma
from numpy import ndarray, recarray
from nump... | gpl-2.0 |
khkaminska/scikit-learn | sklearn/decomposition/tests/test_nmf.py | 47 | 8566 | import numpy as np
from scipy import linalg
from sklearn.decomposition import nmf
from scipy.sparse import csc_matrix
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_raise_message
from sklearn.utils.testing import assert_array_almost... | bsd-3-clause |
liang42hao/bokeh | examples/compat/seaborn/violin.py | 34 | 1153 | import seaborn as sns
from bokeh import mpl
from bokeh.plotting import output_file, show
tips = sns.load_dataset("tips")
sns.set_style("whitegrid")
# ax = sns.violinplot(x="size", y="tip", data=tips.sort("size"))
# ax = sns.violinplot(x="size", y="tip", data=tips,
# order=np.arange(1, 7), palett... | bsd-3-clause |
Adai0808/scikit-learn | examples/feature_selection/plot_feature_selection.py | 249 | 2827 | """
===============================
Univariate Feature Selection
===============================
An example showing univariate feature selection.
Noisy (non informative) features are added to the iris data and
univariate feature selection is applied. For each feature, we plot the
p-values for the univariate feature s... | bsd-3-clause |
sniemi/EuclidVisibleInstrument | analysis/analyse.py | 1 | 10786 | """
Object finding and measuring ellipticity
========================================
This script provides a class that can be used to analyse VIS data.
One can either choose to use a Python based source finding algorithm or
give a SExtractor catalog as an input. If an input catalog is provided
then the program assume... | bsd-2-clause |
open-lambda/open-lambda | test.py | 1 | 15018 | #!/usr/bin/env python3
import os, sys, json, time, requests, copy, traceback, tempfile, threading, subprocess
from collections import OrderedDict
from subprocess import check_output
from multiprocessing import Pool
from contextlib import contextmanager
OLDIR = 'test-dir'
results = OrderedDict(... | apache-2.0 |
Mecanon/morphing_wing | experimental/comparison_model/static_model.py | 1 | 8433 | # -*- coding: utf-8 -*-
"""
- dynamics of a flap with two actuators in different positions
- can take in to account initial strain
- calculates necessary spring stiffness for a given linear actuator length
and for defined positions for the actuators ends.
Will have:
- coupling with Edwin matlab code
- coupling with ... | mit |
Erotemic/utool | utool/util_project.py | 1 | 34436 | # -*- coding: utf-8 -*-
"""
Ignore:
~/local/init/REPOS1.py
"""
from __future__ import absolute_import, division, print_function # , unicode_literals
from six.moves import zip, filter, filterfalse, map, range # NOQA
import six # NOQA
#from os.path import split, dirname, join
from os.path import dirname, join
from... | apache-2.0 |
rhshah/Miscellaneous | check_cDNA_Contamination/check_cDNA_contamination.py | 3 | 4630 | """
Created on 11/01/2015.
@author: Ronak H Shah
###Required Input columns in the structural variant file
TumorId NormalId Chr1 Pos1 Chr2 Pos2 SV_Type Gene1 Gene2 Transcript1 Transcript2 Site1Description Site2Description Fusion Confidence Comments Connection_Type SV_LE... | apache-2.0 |
joernhees/scikit-learn | examples/model_selection/plot_roc_crossval.py | 28 | 3697 | """
=============================================================
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 |
GuessWhoSamFoo/pandas | pandas/tests/indexing/test_partial.py | 1 | 23612 | """
test setting *parts* of objects both positionally and label based
TOD: these should be split among the indexer tests
"""
from warnings import catch_warnings
import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame, Index, Panel, Series, date_range
from pandas.util import testing as tm
... | bsd-3-clause |
jlevy44/Joshua-Levy-Synteny-Analysis | hybridumAnalysisScripts/FixBhydTest/bhybridumMappingProbs.py | 1 | 1094 | from collections import defaultdict
import numpy as np
import matplotlib.pyplot as plt
sortList = open('q.PAC4GC.001.sort2','r').read().split('\n')
sortDict = defaultdict(list)
for line in sortList:
if line:
lineList = line.split()
sortDict[lineList[0]] = [lineList[1]] + [int(item) for item in lineL... | mit |
thomasbarillot/DAQ | eTOF/FuncDetectPeaks.py | 3 | 6694 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 23 12:53:10 2016
@author: tbarillot
"""
"""Detect peaks in data based on their amplitude and other features."""
#from __future__ import division, print_function
import numpy as np
__author__ = "Marcos Duarte, https://github.com/demotu/BMC"
__version__ = "1.0.4"
__licen... | mit |
ViennaRNA/forgi | test/forgi/projection/projection2d_test.py | 1 | 18261 | from __future__ import absolute_import, division, print_function, unicode_literals
from builtins import (ascii, bytes, chr, dict, filter, hex, input,
int, map, next, oct, open, pow, range, round,
str, super, zip)
import unittest
import sys
import numpy as np
import numpy.tes... | gpl-3.0 |
pratapvardhan/pandas | doc/sphinxext/numpydoc/docscrape_sphinx.py | 7 | 15301 | from __future__ import division, absolute_import, print_function
import sys
import re
import inspect
import textwrap
import pydoc
import collections
import os
from jinja2 import FileSystemLoader
from jinja2.sandbox import SandboxedEnvironment
import sphinx
from sphinx.jinja2glue import BuiltinTemplateLoader
from .do... | bsd-3-clause |
xzh86/scikit-learn | sklearn/feature_extraction/tests/test_text.py | 110 | 34127 | from __future__ import unicode_literals
import warnings
from sklearn.feature_extraction.text import strip_tags
from sklearn.feature_extraction.text import strip_accents_unicode
from sklearn.feature_extraction.text import strip_accents_ascii
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.fe... | bsd-3-clause |
lepmik/nest-simulator | pynest/examples/intrinsic_currents_spiking.py | 13 | 5954 | # -*- coding: utf-8 -*-
#
# intrinsic_currents_spiking.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 ... | gpl-2.0 |
rs2/pandas | pandas/tests/plotting/test_converter.py | 1 | 12196 | from datetime import date, datetime
import subprocess
import sys
import numpy as np
import pytest
import pandas._config.config as cf
from pandas.compat.numpy import np_datetime64_compat
import pandas.util._test_decorators as td
from pandas import Index, Period, Series, Timestamp, date_range
import pandas._testing a... | bsd-3-clause |
nDroidProject/android_external_blktrace | btt/btt_plot.py | 43 | 11282 | #! /usr/bin/env python
#
# btt_plot.py: Generate matplotlib plots for BTT generate data files
#
# (C) Copyright 2009 Hewlett-Packard Development Company, L.P.
#
# 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 So... | gpl-2.0 |
jdfekete/progressivis | tests/test_02_table_merge.py | 1 | 1859 | from collections import OrderedDict
import pandas as pd
from progressivis import Scheduler
from progressivis.table.table import Table
from progressivis.table.merge import merge
from . import ProgressiveTest
df_left1 = pd.DataFrame(OrderedDict([('A', ['A0', 'A1', 'A2', 'A3']),
('... | bsd-2-clause |
kingfink/Newport-Folk-Festival | wikipedia_origins.py | 1 | 1064 | import urllib
import urllib2
from bs4 import BeautifulSoup
import pandas as pd
def get_location(article):
article = urllib.quote(article)
opener = urllib2.build_opener()
opener.addheaders = [('User-agent', 'Mozilla/5.0')] #wikipedia needs this
str_ret = ''
try:
resource = opener.open("... | mit |
bjornaa/polarmap | polar_bathymetry.py | 1 | 1753 | # -*- coding: utf-8 -*-
# Plot bathymetry on a polar map
# -----------------------------------
# Bjørn Ådlandsvik <bjorn@imr.no>
# Institute of Marine Research
# -----------------------------------
# ---------
# Imports
# ---------
import numpy as np
from netCDF4 import Dataset
import matplotlib.pyplot as plt
from ... | mit |
chrisburr/scikit-learn | sklearn/tests/test_multiclass.py | 14 | 21802 | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing ... | bsd-3-clause |
lancezlin/ml_template_py | lib/python2.7/site-packages/sklearn/manifold/tests/test_locally_linear.py | 85 | 5600 | from itertools import product
import numpy as np
from numpy.testing import assert_almost_equal, assert_array_almost_equal
from scipy import linalg
from sklearn import neighbors, manifold
from sklearn.manifold.locally_linear import barycenter_kneighbors_graph
from sklearn.utils.testing import assert_less
from sklearn.... | mit |
jblackburne/scikit-learn | sklearn/neural_network/tests/test_rbm.py | 225 | 6278 | import sys
import re
import numpy as np
from scipy.sparse import csc_matrix, csr_matrix, lil_matrix
from sklearn.utils.testing import (assert_almost_equal, assert_array_equal,
assert_true)
from sklearn.datasets import load_digits
from sklearn.externals.six.moves import cStringIO as ... | bsd-3-clause |
robin-lai/scikit-learn | sklearn/metrics/metrics.py | 233 | 1262 | import warnings
warnings.warn("sklearn.metrics.metrics is deprecated and will be removed in "
"0.18. Please import from sklearn.metrics",
DeprecationWarning)
from .ranking import auc
from .ranking import average_precision_score
from .ranking import label_ranking_average_precision_score
fro... | bsd-3-clause |
xya/sms-tools | lectures/05-Sinusoidal-model/plots-code/sineModel-anal-synth.py | 24 | 1483 | import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import hamming, triang, blackmanharris
import sys, os, functools, time
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), '../../../software/models/'))
import sineModel as SM
import utilFunctions as UF
(fs, x) = UF.wavread(os.p... | agpl-3.0 |
salceson/PJN | lab6/main.py | 1 | 3801 | # coding: utf-8
import codecs
import sys
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from operator import itemgetter
from ngrams import n_grams_stats
from stats import stats
_FILENAME = "data/potop.txt"
_STATS_FILENAME = "out/stats.csv"
_ENCODING = "utf-8"
__author__ = "Mi... | mit |
jjgomera/pychemqt | setup.py | 1 | 2013 | from setuptools import setup, find_packages
import io
__version__ = "0.1.0"
with io.open('README.rst', encoding="utf8") as file:
long_description = file.read()
setup(
name='pychemqt',
author='Juan José Gómez Romera',
author_email='jjgomera@gmail.com',
url='https://github.com/jjgomera/pychemqt',... | gpl-3.0 |
CodeMonkeyJan/hyperspy | hyperspy/drawing/_widgets/label.py | 3 | 3731 | # -*- coding: utf-8 -*-
# Copyright 2007-2016 The HyperSpy developers
#
# This file is part of HyperSpy.
#
# HyperSpy 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... | gpl-3.0 |
davidlmorton/spikepy | spikepy/plotting_utils/import_matplotlib.py | 1 | 1221 | # Copyright (C) 2012 David Morton
#
# 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 later version.
#
# This program is distribut... | gpl-3.0 |
boomsbloom/dtm-fmri | DTM/for_gensim/lib/python2.7/site-packages/pandas/tests/formats/test_format.py | 7 | 165663 | # -*- coding: utf-8 -*-
# TODO(wesm): lots of issues making flake8 hard
# flake8: noqa
from __future__ import print_function
from distutils.version import LooseVersion
import re
from pandas.compat import (range, zip, lrange, StringIO, PY3,
u, lzip, is_platform_windows,
... | mit |
rlabbe/filterpy | filterpy/kalman/tests/test_enkf.py | 2 | 3356 | # -*- coding: utf-8 -*-
"""Copyright 2015 Roger R Labbe Jr.
FilterPy library.
http://github.com/rlabbe/filterpy
Documentation at:
https://filterpy.readthedocs.org
Supporting book at:
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python
This is licensed under an MIT license. See the readme.MD file
for mor... | mit |
bigdataelephants/scikit-learn | sklearn/neural_network/tests/test_rbm.py | 8 | 6202 | import sys
import re
import numpy as np
from scipy.sparse import csc_matrix, csr_matrix, lil_matrix
from sklearn.utils.testing import (assert_almost_equal, assert_array_equal,
assert_true)
from sklearn.datasets import load_digits
from sklearn.externals.six.moves import cStringIO as ... | bsd-3-clause |
mfittere/SixDeskDB | old/riccardo1/sixdeskdb.py | 2 | 10486 | import sqlite3
import numpy as np
import matplotlib.pyplot as pl
import scipy.signal
from sqltable import SQLTable
def guess_range(l):
l=sorted(set(l))
start=l[0]
if len(l)>1:
step=np.diff(l).min()
else:
step=None
stop=l[-1]
return start,stop,step
class Fort10(object):
fields=[
('turn_max'... | lgpl-2.1 |
deepcharles/ruptures | tests/test_display.py | 1 | 2596 | import pytest
from ruptures.datasets import pw_constant
from ruptures.show import display
from ruptures.show.display import MatplotlibMissingError
@pytest.fixture(scope="module")
def signal_bkps():
signal, bkps = pw_constant()
return signal, bkps
def test_display_with_options(signal_bkps):
try:
... | bsd-2-clause |
wmvanvliet/mne-python | tutorials/source-modeling/plot_mne_dspm_source_localization.py | 1 | 5668 | """
.. _tut-inverse-methods:
Source localization with MNE/dSPM/sLORETA/eLORETA
=================================================
The aim of this tutorial is to teach you how to compute and apply a linear
minimum-norm inverse method on evoked/raw/epochs data.
"""
import os.path as op
import numpy as np
import matplo... | bsd-3-clause |
stargaser/astropy | astropy/modeling/utils.py | 2 | 25636 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This module provides utility functions for the models package
"""
from collections import deque, UserDict
from collections.abc import MutableMapping
from inspect import signature
import numpy as np
from astropy.utils.decorators import deprecated
fro... | bsd-3-clause |
adi-foundry/nycodex | nycodex/scrape/dataset.py | 1 | 6364 | import os
import tempfile
from typing import Iterable, List, Tuple
import geoalchemy2
import geopandas as gpd
import pandas as pd
import sqlalchemy as sa
from nycodex import db
from nycodex.logging import get_logger
from . import exceptions, utils
BASE = "https://data.cityofnewyork.us/api"
RAW_SCHEMA = 'raw'
NULL_V... | apache-2.0 |
zhangzhihan/computationalphysics_n2014301020035 | Chapter3/chapter3-1/harmonic motion_RK method.py | 2 | 1534 | from matplotlib.pyplot import*
g=-9.8;l=1;dt=0.04;
def h_motion_RKmethod1(index1,end_time1,ango1):
ang=[];ang_v=[];t=[]
ang.append(ango1);ang_v.append(0);t.append(0)
for i in range(int(end_time1/dt)):
angm=ang[-1]+1/2*dt*ang_v[-1]
ang_vm=ang_v[-1]+g/l*dt*ang[-1]**index1
ang_tmp=ang... | mit |
Upward-Spiral-Science/claritycontrol | assignments/textureHist.py | 2 | 26420 | #IMPORTANT: THE ABOVE PORTION IS A SCRIPT FROM SOLEM'S VISION BLOG
# http://www.janeriksolem.net/2009/06/histogram-equalization-with-python-and.html
import SimpleITK as sitk
import clarity as cl # I wrote this module for easier operations on data
import clarity.resources as rs
import csv,gc # garbage memory collec... | apache-2.0 |
fabianp/scikit-learn | examples/svm/plot_rbf_parameters.py | 57 | 8096 | '''
==================
RBF SVM parameters
==================
This example illustrates the effect of the parameters ``gamma`` and ``C`` of
the Radius Basis Function (RBF) kernel SVM.
Intuitively, the ``gamma`` parameter defines how far the influence of a single
training example reaches, with low values meaning 'far' a... | bsd-3-clause |
ccd-utexas/tsphot | lc_online2.py | 3 | 14102 | #!/usr/bin/env python
import matplotlib
matplotlib.use('Agg')
from matplotlib.pyplot import *
from matplotlib.transforms import offset_copy
import numpy as np
import scipy
from scipy.signal import lombscargle
import scipy.optimize as sco
import matplotlib.gridspec as gridspec
import os
def fwhm_fit2(apli... | mit |
shanqing-cai/MRI_analysis | aparc12_surface_stats.py | 1 | 11734 | #!/usr/bin/python
import os
import sys
import glob
import argparse
import tempfile
import numpy as np
import matplotlib.pyplot as plt
import pickle
import scipy.stats as stats
from copy import deepcopy
from subprocess import Popen, PIPE
from get_qdec_info import get_qdec_info
from fs_load_stats import fs_load_stats
f... | bsd-3-clause |
abhishekkrthakur/scikit-learn | examples/cluster/plot_kmeans_stability_low_dim_dense.py | 338 | 4324 | """
============================================================
Empirical evaluation of the impact of k-means initialization
============================================================
Evaluate the ability of k-means initializations strategies to make
the algorithm convergence robust as measured by the relative stan... | bsd-3-clause |
hcxiong/skyline | src/analyzer/algorithms.py | 9 | 9794 | import pandas
import numpy as np
import scipy
import statsmodels.api as sm
import traceback
import logging
from time import time
from msgpack import unpackb, packb
from redis import StrictRedis
from settings import (
ALGORITHMS,
CONSENSUS,
FULL_DURATION,
MAX_TOLERABLE_BOREDOM,
MIN_TOLERABLE_LENGTH,... | mit |
MediffRobotics/DeepRobotics | DeepLearnMaterials/tutorials/numpy&pandas/16_concat.py | 3 | 1436 | # View more python tutorials on my Youtube and Youku channel!!!
# Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg
# Youku video tutorial: http://i.youku.com/pythontutorial
"""
Please note, this code is only for python 3+. If you are using python 2+, please modify the code accordingly.... | gpl-3.0 |
qiqi/fds | apps/charles_cylinder3D_Lyapunov/draw_Lyapunov/drawCLV.py | 1 | 4385 | # This file reads the checkpoint files, computes CLVs, call charles.exe for 0 step,
# and genereate the flow field solution for state variables: rho, rhoE, rhoU
from __future__ import division
import os
import sys
import time
import shutil
import string
import tempfile
import argparse
import subprocess
from multiproc... | gpl-3.0 |
suiyuan2009/tensorflow | tensorflow/examples/tutorials/word2vec/word2vec_basic.py | 13 | 9596 | # 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 |
dknez/libmesh | doc/statistics/libmesh_sflogos.py | 7 | 6095 | #!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
# Import stuff for working with dates
from datetime import datetime
from matplotlib.dates import date2num
# SF.net pages and SFLogo Impressions.
# On the site, located under "Sourceforge Traffic". Number of logos
# (last column) seems to be the... | lgpl-2.1 |
matthiasdiener/spack | var/spack/repos/builtin/packages/py-localcider/package.py | 5 | 1786 | ##############################################################################
# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-64... | lgpl-2.1 |
bigfishman/oceanbase | oceanbase_0.4/tools/deploy/perf/1.py | 12 | 1857 | import datetime
import re
import sys
try:
import matplotlib.pyplot as plt
except ImportError:
plt = None
time_format = "%Y-%m-%d %H:%M:%S"
d = dict()
start_time = None
start_time = None
sql_count = 0
sql_time = 0
sql_time_dist = dict()
rpc_time = 0
urpc_time = 0
wait_time = 0
qps2time = dict()
rpc_times = []
urpc_... | gpl-2.0 |
liamneath1/hailey.io | server-side/stock_market/TTSE_Parser.py | 1 | 5362 | import IndexScraper as iScrape
import constants as const
import urllib.request
import pandas as pd
import pprint as pp
import datetime
from bs4 import BeautifulSoup
from pandas.tseries.offsets import BDay
import sys
import util
import os
class TTSE_Parser(iScrape.IndexScraper):
def __init__(self, queryFreq, tabl... | mit |
QianruZhou333/ASleep | my_importData_small.py | 2 | 1639 | import numpy as np
import pandas as pd
input_file = "3_floor.csv"
# comma delimited is the default
df = pd.read_csv(input_file, header = 0)
# for space delimited use:
# df = pd.read_csv(input_file, header = 0, delimiter = " ")
# for tab delimited use:
# df = pd.read_csv(input_file, header = 0, delimiter = "\t")
# ... | apache-2.0 |
fizz-ml/policybandit | bayestorch/hmc.py | 1 | 3828 | import torch as t
import torch.nn.functional as f
from torch.autograd import Variable
from torch.optim import Optimizer
import math
import matplotlib.pyplot as plt
import numpy as np
class HMCSampler(object):
"""updates the model parameters by preforming n hcmc updates
(larger description)
"""
def __i... | mit |
anhaidgroup/py_entitymatching | py_entitymatching/tests/test_black_box_blocker.py | 1 | 16764 | import os
from nose.tools import *
import pandas as pd
import unittest
import py_entitymatching as em
import py_entitymatching.feature.simfunctions as sim
p = em.get_install_path()
path_a = os.sep.join([p, 'tests', 'test_datasets', 'A.csv'])
path_b = os.sep.join([p, 'tests', 'test_datasets', 'B.csv'])
l_output_attrs ... | bsd-3-clause |
CenterForTheBuiltEnvironment/comfort_tool | comfort.py | 1 | 5570 | from io import TextIOWrapper
from flask import (
Flask,
request,
render_template,
send_from_directory,
abort,
jsonify,
make_response,
)
from pythermalcomfort.models import pmv_ppd, set_tmp, cooling_effect
from pythermalcomfort.psychrometrics import v_relative, clo_dynamic
import pandas as pd... | gpl-2.0 |
rgerkin/python-neo | examples/roi_demo.py | 6 | 1105 | """
Example of working with RegionOfInterest objects
"""
import matplotlib.pyplot as plt
import numpy as np
from neo.core import CircularRegionOfInterest, RectangularRegionOfInterest, PolygonRegionOfInterest
from numpy.random import rand
def plot_roi(roi, shape):
img = rand(120, 100)
pir = np.array(roi.pixel... | bsd-3-clause |
raphaelvalentin/qtlayout | syntax/interpolate/plotting/contour.py | 1 | 1449 | #!/usr/local/bin/python
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
from matplotlib.figure import SubplotParams
from matplotlib.ticker import MaxNLocator
import os
from function import *
from xplot import *
class contour(plot):
def __init__(self, **kwargs):
... | gpl-2.0 |
shikhardb/scikit-learn | sklearn/neighbors/tests/test_ball_tree.py | 10 | 9723 | import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.neighbors.ball_tree import (BallTree, NeighborsHeap,
simultaneous_sort, kernel_norm,
nodeheap_sort, DTYPE, ITYPE)
from sklearn.neighbors.dist_metrics impo... | bsd-3-clause |
davebrent/aubio | python/demos/demo_sink_create_woodblock.py | 10 | 1580 | #! /usr/bin/env python
import sys
from math import pi, e
from aubio import sink
from numpy import arange, resize, sin, exp, zeros
if len(sys.argv) < 2:
print 'usage: %s <outputfile> [samplerate]' % sys.argv[0]
sys.exit(1)
samplerate = 44100 # samplerate in Hz
if len( sys.argv ) > 2: samplerate = int(sys.argv... | gpl-3.0 |
moreati/pandashells | pandashells/lib/outlier_lib.py | 7 | 2092 | #! /usr/bin/env python
# standard library imports
from collections import Counter
from pandashells.lib import module_checker_lib
# import required dependencies
module_checker_lib.check_for_modules(['pandas', 'numpy'])
import pandas as pd
import numpy as np
# disable the chained assignment warning because raises fa... | bsd-2-clause |
besser82/shogun | applications/easysvm/esvm/plots.py | 7 | 6555 | """
This module contains code for commonly used plots
"""
# This software is distributed under BSD 3-clause license (see LICENSE file).
#
# Authors: Soeren Sonnenburg
import sys
import random
import numpy
import warnings
import shutil
from shogun import Labels
from shogun import *
def plotroc(output, LTE, draw_rand... | bsd-3-clause |
liangz0707/scikit-learn | sklearn/semi_supervised/tests/test_label_propagation.py | 307 | 1974 | """ test the label propagation module """
import nose
import numpy as np
from sklearn.semi_supervised import label_propagation
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
ESTIMATORS = [
(label_propagation.LabelPropagation, {'kernel': 'rbf'}),
(label_propa... | bsd-3-clause |
eerimoq/cantools | tests/test_plot_without_mock.py | 1 | 2943 | #!/usr/bin/env python3
import os
import sys
import unittest
from unittest import mock
from io import StringIO
import cantools
import matplotlib.pyplot as plt
class CanToolsPlotTest(unittest.TestCase):
DBC_FILE = os.path.join(os.path.split(__file__)[0], 'files/dbc/abs.dbc')
FN_OUT = "out.pdf"
def test_p... | mit |
NSLS-II-CHX/ipython_ophyd | profile_collection/ipython_qtconsole_config.py | 13 | 24674 | # Configuration file for ipython-qtconsole.
c = get_config()
#------------------------------------------------------------------------------
# IPythonQtConsoleApp configuration
#------------------------------------------------------------------------------
# IPythonQtConsoleApp will inherit config from: BaseIPythonA... | bsd-2-clause |
komsas/OpenUpgrade | 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 |
dongjoon-hyun/spark | python/pyspark/pandas/generic.py | 9 | 104900 | #
# 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 |
lenovor/scikit-learn | sklearn/metrics/pairwise.py | 104 | 42995 | # -*- coding: utf-8 -*-
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Mathieu Blondel <mathieu@mblondel.org>
# Robert Layton <robertlayton@gmail.com>
# Andreas Mueller <amueller@ais.uni-bonn.de>
# Philippe Gervais <philippe.gervais@inria.fr>
# Lars Buitinck ... | bsd-3-clause |
justincassidy/scikit-learn | sklearn/neighbors/tests/test_kde.py | 208 | 5556 | import numpy as np
from sklearn.utils.testing import (assert_allclose, assert_raises,
assert_equal)
from sklearn.neighbors import KernelDensity, KDTree, NearestNeighbors
from sklearn.neighbors.ball_tree import kernel_norm
from sklearn.pipeline import make_pipeline
from sklearn.dataset... | bsd-3-clause |
dls-controls/pymalcolm | malcolm/modules/pandablocks/controllers/pandablockcontroller.py | 1 | 13688 | import os
from typing import Any, Dict, Optional, Union, cast
from annotypes import Anno
from malcolm.core import (
Alarm,
AMri,
BooleanMeta,
ChoiceMeta,
NumberMeta,
Port,
StringMeta,
TableMeta,
TimeStamp,
VMeta,
Widget,
badge_value_tag,
config_tag,
group_tag,
... | apache-2.0 |
466152112/hyperopt | hyperopt/tests/test_tpe.py | 7 | 23399 | from functools import partial
import os
import unittest
import nose
import numpy as np
try:
import matplotlib.pyplot as plt
except ImportError:
pass
from hyperopt import pyll
from hyperopt.pyll import scope
from hyperopt import Trials
from hyperopt.base import miscs_to_idxs_vals, STATUS_OK
from hyperopt i... | bsd-3-clause |
deepesch/scikit-learn | sklearn/cluster/spectral.py | 233 | 18153 | # -*- coding: utf-8 -*-
"""Algorithms for spectral clustering"""
# Author: Gael Varoquaux gael.varoquaux@normalesup.org
# Brian Cheung
# Wei LI <kuantkid@gmail.com>
# License: BSD 3 clause
import warnings
import numpy as np
from ..base import BaseEstimator, ClusterMixin
from ..utils import check_rand... | bsd-3-clause |
crichardson17/starburst_atlas | Low_resolution_sims/Dusty_LowRes/Geneva_inst_NoRot/Geneva_inst_NoRot_0/fullgrid/UV1.py | 31 | 9315 | import csv
import matplotlib.pyplot as plt
from numpy import *
import scipy.interpolate
import math
from pylab import *
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
import matplotlib.patches as patches
from matplotlib.path import Path
import os
# --------------------------------------------------... | gpl-2.0 |
iwonasob/BAD-masked-NMF | src/dataset.py | 1 | 3288 | '''
Download, extract and partition the datasets
'''
import config as cfg
import os
import sys
import requests
import zipfile
from clint.textui import progress
import numpy as np
np.random.seed(1515)
import pandas as pd
class DatasetCreator:
def __init__(self,
dataset_name):
... | mit |
robin-lai/scikit-learn | sklearn/cluster/bicluster.py | 211 | 19443 | """Spectral biclustering algorithms.
Authors : Kemal Eren
License: BSD 3 clause
"""
from abc import ABCMeta, abstractmethod
import numpy as np
from scipy.sparse import dia_matrix
from scipy.sparse import issparse
from . import KMeans, MiniBatchKMeans
from ..base import BaseEstimator, BiclusterMixin
from ..external... | bsd-3-clause |
marionleborgne/nupic.research | projects/l2_pooling/infer_hand_crafted_objects.py | 1 | 5291 | # Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2016, Numenta, Inc. Unless you have an agreement
# with Numenta, Inc., for a separate license for this software code, the
# following terms and conditions apply:
#
# This program is free software: you can redistribute it and/or modify
# it under the ... | agpl-3.0 |
mbayon/TFG-MachineLearning | vbig/lib/python2.7/site-packages/sklearn/svm/tests/test_svm.py | 33 | 35916 | """
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... | mit |
stephenjust/stk-stats | userreport/views/usercount.py | 1 | 1645 | from userreport.models import UserReport
from django.http import HttpResponse
from django.views.decorators.cache import cache_page
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib.dates import DateFormatter
import matplotlib.artist
@cac... | mit |
lfairchild/PmagPy | programs/dmag_magic.py | 1 | 9569 | #!/usr/bin/env python
# -*- python-indent-offset: 4; -*-
# -*- mode: python-mode; python-indent-offset: 4 -*-
import sys
import os
import matplotlib
if matplotlib.get_backend() != "TKAgg":
matplotlib.use("TKAgg")
import pmagpy.pmag as pmag
import pmagpy.pmagplotlib as pmagplotlib
import pmagpy.contribution_builde... | bsd-3-clause |
rhambach/TEMareels | tools/remove_stripes.py | 1 | 1747 | """
IMPLEMENTATION:
- crude method for removing periodic noise in images recorded
on Tietz CMOS slave camera in wq-mode
- integrates over several lines (e.g. 10x4096) of noise and
substracts signal from each line in sector
Copyright (c) 2013, pwachsmuth, rhambach
This file is part of... | mit |
DavidLP/SourceSim | tools/charge_sharing_z_correction.py | 1 | 1377 | # Shows the correction of z to take into account a charge cloud with a sigma != 0 at the beginning
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
from mpl_toolkits.mplot3d.axes3d import Axes3D
from scipy.special import erf
from itertools import product, combinations
import mpl_toolkits.mp... | bsd-2-clause |
mxjl620/scikit-learn | sklearn/neighbors/regression.py | 100 | 11017 | """Nearest Neighbor Regression"""
# Authors: Jake Vanderplas <vanderplas@astro.washington.edu>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Sparseness support by Lars Buitinck <L.J.Buitinck@uva.nl>
# Multi-output support by Arna... | bsd-3-clause |
mindriot101/batman | docs/quickstart.py | 2 | 1823 | # The batman package: fast computation of exoplanet transit light curves
# Copyright (C) 2015 Laura Kreidberg
#
# 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... | gpl-3.0 |
Akshay0724/scikit-learn | examples/neural_networks/plot_mnist_filters.py | 79 | 2189 | """
=====================================
Visualization of MLP weights on MNIST
=====================================
Sometimes looking at the learned coefficients of a neural network can provide
insight into the learning behavior. For example if weights look unstructured,
maybe some were not used at all, or if very l... | bsd-3-clause |
wzbozon/statsmodels | statsmodels/sandbox/panel/panelmod.py | 27 | 14526 | """
Sandbox Panel Estimators
References
-----------
Baltagi, Badi H. `Econometric Analysis of Panel Data.` 4th ed. Wiley, 2008.
"""
from __future__ import print_function
from statsmodels.compat.python import range, reduce
from statsmodels.tools.tools import categorical
from statsmodels.regression.linear_model import ... | bsd-3-clause |
gviejo/ThalamusPhysio | python/main_make_THETA_HISTOGRAM.py | 1 | 5163 | #!/usr/bin/env python
'''
File name: main_make_Thetainfo.py
Author: Guillaume Viejo
Date created: 16/08/2017
Python Version: 3.5.2
Theta modulation, returns angle
Used to make figure 1
# TODO ASK ADRIEN ABOUT THE RESTRICTION BY SLEEP_EP
'''
import numpy as np
import pandas as pd
import scipy.io
fr... | gpl-3.0 |
valpasq/yatsm | yatsm/cli/pixel.py | 2 | 12052 | """ Command line interface for running YATSM algorithms on individual pixels
"""
import datetime as dt
import logging
import re
import click
import matplotlib as mpl
import matplotlib.cm # noqa
import matplotlib.pyplot as plt
import numpy as np
import patsy
import yaml
from . import options, console
from ..algorithm... | mit |
asimshankar/tensorflow | tensorflow/contrib/learn/__init__.py | 18 | 2695 | # 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 |
QISKit/qiskit-sdk-py | qiskit/pulse/commands/sample_pulse.py | 1 | 6024 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modif... | apache-2.0 |
mbayon/TFG-MachineLearning | vbig/lib/python2.7/site-packages/sklearn/ensemble/forest.py | 6 | 79027 | """Forest of trees-based ensemble methods
Those methods include random forests and extremely randomized trees.
The module structure is the following:
- The ``BaseForest`` base class implements a common ``fit`` method for all
the estimators in the module. The ``fit`` method of the base ``Forest``
class calls the ... | mit |
relf/smt | smt/examples/b777_engine/b777_engine.py | 3 | 8217 | import numpy as np
import os
def get_b777_engine():
this_dir = os.path.split(__file__)[0]
nt = 12 * 11 * 8
xt = np.loadtxt(os.path.join(this_dir, "b777_engine_inputs.dat")).reshape((nt, 3))
yt = np.loadtxt(os.path.join(this_dir, "b777_engine_outputs.dat")).reshape((nt, 2))
dyt_dxt = np.loadtxt(os... | bsd-3-clause |
rahuldhote/scikit-learn | sklearn/feature_selection/__init__.py | 244 | 1088 | """
The :mod:`sklearn.feature_selection` module implements feature selection
algorithms. It currently includes univariate filter selection methods and the
recursive feature elimination algorithm.
"""
from .univariate_selection import chi2
from .univariate_selection import f_classif
from .univariate_selection import f_... | bsd-3-clause |
tmhm/scikit-learn | setup.py | 143 | 7364 | #! /usr/bin/env python
#
# Copyright (C) 2007-2009 Cournapeau David <cournape@gmail.com>
# 2010 Fabian Pedregosa <fabian.pedregosa@inria.fr>
# License: 3-clause BSD
descr = """A set of python modules for machine learning and data mining"""
import sys
import os
import shutil
from distutils.command.clean ... | bsd-3-clause |
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