repo_name stringlengths 7 90 | path stringlengths 5 191 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 976 581k | license stringclasses 15
values |
|---|---|---|---|---|---|
ocelot-collab/ocelot | ocelot/gui/sr_plot.py | 1 | 5482 | __author__ = 'Sergey Tomin'
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib
from matplotlib import cm
def show_flux(screen, show='Total', xlim=(0,0), ylim =(0,0), file_name=None, unit="mm", title=None, nfig=1, grid=True,
xlog=False, ylog=Fals... | gpl-3.0 |
jzt5132/scikit-learn | sklearn/linear_model/tests/test_passive_aggressive.py | 169 | 8809 | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_less
from sklearn.utils.testing import assert_greater
from sklearn.utils.testing import assert_array_almost_equal, assert_array_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_rais... | bsd-3-clause |
mugizico/scikit-learn | examples/cluster/plot_digits_linkage.py | 369 | 2959 | """
=============================================================================
Various Agglomerative Clustering on a 2D embedding of digits
=============================================================================
An illustration of various linkage option for agglomerative clustering on
a 2D embedding of the di... | bsd-3-clause |
NunoEdgarGub1/scikit-learn | sklearn/linear_model/tests/test_perceptron.py | 378 | 1815 | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_raises
from sklearn.utils import check_random_state
from sklearn.datasets import load_iris
from sklearn.linear_model import Pe... | bsd-3-clause |
rhyolight/nupic.research | projects/sequence_prediction/continuous_sequence/swarm_runner.py | 10 | 7442 | # ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2015, 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 progra... | gpl-3.0 |
joyxu/autotest | utils/external_packages.py | 4 | 28633 | # Please keep this code python 2.4 compatible and stand alone.
# pylint: disable=E0611
import distutils.version
import logging
import os
import shutil
import sys
import tempfile
import time
import urllib2
import subprocess
import re
from autotest.client.shared import utils
_READ_SIZE = 64 * 1024
_MAX_PACKAGE_SIZE = 1... | gpl-2.0 |
HaebinShin/tensorflow | tensorflow/examples/skflow/digits.py | 4 | 2380 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | apache-2.0 |
cmoutard/mne-python | mne/viz/_3d.py | 1 | 36481 | """Functions to make 3D plots with M/EEG data
"""
from __future__ import print_function
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis Engemann <denis.engemann@gmail.com>
# Martin Luessi <mluessi@nmr.mgh.harvard.edu>
# Eric Larson <larson.eric.d@gmail.com>
# ... | bsd-3-clause |
SusanJL/iris | docs/iris/example_code/General/custom_aggregation.py | 6 | 3397 | """
Calculating a custom statistic
==============================
This example shows how to define and use a custom
:class:`iris.analysis.Aggregator`, that provides a new statistical operator for
use with cube aggregation functions such as :meth:`~iris.cube.Cube.collapsed`,
:meth:`~iris.cube.Cube.aggregated_by` or
:me... | gpl-3.0 |
camallen/aggregation | experimental/plankton/cluster.py | 2 | 3575 | #!/usr/bin/env python
__author__ = 'greghines'
import numpy as np
import matplotlib.pyplot as plt
import csv
import sys
import os
import pymongo
import matplotlib.cbook as cbook
import random
import bisect
if os.path.exists("/home/ggdhines"):
sys.path.append("/home/ggdhines/PycharmProjects/reduction/experimental/c... | apache-2.0 |
google-research/google-research | ipagnn/workflows/analysis_workflows.py | 1 | 13612 | # 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 |
rhattersley/iris | lib/iris/tests/system_test.py | 8 | 3910 | # (C) British Crown Copyright 2010 - 2015, Met Office
#
# This file is part of Iris.
#
# Iris is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, either version 3 of the License, or
# (at your option) any l... | lgpl-3.0 |
altairpearl/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 |
akrherz/iem | scripts/hads/compute_hads_pday.py | 1 | 3548 | """Attempt at totalling up DCP data
Run from `RUN_12Z.sh` for previous day
Run from `RUN_20_AFTER.sh` for current day
"""
import datetime
import sys
import pytz
import numpy as np
from pandas.io.sql import read_sql
from pyiem.util import get_dbconn, utc, logger
LOG = logger()
def workflow(date):
"""Do... | mit |
kjung/scikit-learn | sklearn/feature_extraction/tests/test_image.py | 12 | 11173 | # Authors: Emmanuelle Gouillart <emmanuelle.gouillart@normalesup.org>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# License: BSD 3 clause
import numpy as np
import scipy as sp
from scipy import ndimage
from scipy import misc
from nose.tools import assert_equal, assert_true
from numpy.testing import asse... | bsd-3-clause |
cmoutard/mne-python | mne/viz/epochs.py | 1 | 62694 | """Functions to plot epochs data
"""
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis Engemann <denis.engemann@gmail.com>
# Martin Luessi <mluessi@nmr.mgh.harvard.edu>
# Eric Larson <larson.eric.d@gmail.com>
# Jaakko Leppakangas <jaeilepp@student.jyu.f... | bsd-3-clause |
low-sky/pyspeckit | pyspeckit/spectrum/baseline.py | 2 | 30565 | from __future__ import print_function
import numpy as np
import matplotlib
from ..config import ConfigDescriptor as cfgdec
from .. import specwarnings
from .. import mpfit
from . import interactive
from . import history
from . import models
from astropy import log
import copy
interactive_help_message = """
(1) Left-cl... | mit |
debugger22/sympy | sympy/plotting/tests/test_plot.py | 43 | 8577 | from sympy import (pi, sin, cos, Symbol, Integral, summation, sqrt, log,
oo, LambertW, I, meijerg, exp_polar, Max, Piecewise)
from sympy.plotting import (plot, plot_parametric, plot3d_parametric_line,
plot3d, plot3d_parametric_surface)
from sympy.plotting.plot import unset... | bsd-3-clause |
pombreda/nmrglue | doc/_build/html/examples/el/plotting/1d_spectrum/plot_1d_pipe_freq.py | 10 | 1137 | #! /usr/bin/env python
# Create a 1D plot of NMRPipe data
import nmrglue as ng
import matplotlib.pyplot as plt
import numpy as np
# read in the data from a NMRPipe file
dic,data = ng.pipe.read("../../common_data/1d_pipe/test.ft")
# create a unit conversion object for the axis
uc = ng.pipe.make_uc(dic,data)
# plot t... | bsd-3-clause |
eaton-lab/toytree | toytree/utils.py | 1 | 22118 | #!/usr/bin/env python
from __future__ import print_function, division, absolute_import
import re
import os
from copy import deepcopy
import numpy as np
import toytree
import toyplot
#######################################################
# Exception Classes
#######################################################
c... | gpl-3.0 |
rabipanda/tensorflow | tensorflow/contrib/learn/python/learn/learn_io/io_test.py | 137 | 5063 | # 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 |
wolfsonliu/littletools | ColorTools/colortools.py | 1 | 1646 | # -*-coding:utf-8-*-
# import matplotlib as mpl
# mpl.use('Gtk3Agg')
import matplotlib.pyplot as plt
import matplotlib.colors as colors
cmaps = {
'Perceptually Uniform Sequential': [
'viridis', 'plasma', 'inferno', 'magma'
],
'Sequential': [
'Greys', 'Purples', 'Blues', 'Greens', 'Oranges',... | gpl-3.0 |
jwkvam/bowtie | bowtie/_component.py | 1 | 10337 | """Bowtie abstract component classes.
All visual and control components inherit these.
"""
from typing import Any, Callable, Optional, ClassVar, Tuple # pylint: disable=unused-import
from abc import ABCMeta, abstractmethod
import string
from functools import wraps
import json
from datetime import datetime, date, tim... | mit |
jblackburne/scikit-learn | sklearn/kernel_ridge.py | 31 | 6552 | """Module :mod:`sklearn.kernel_ridge` implements kernel ridge regression."""
# Authors: Mathieu Blondel <mathieu@mblondel.org>
# Jan Hendrik Metzen <jhm@informatik.uni-bremen.de>
# License: BSD 3 clause
import numpy as np
from .base import BaseEstimator, RegressorMixin
from .metrics.pairwise import pairwise... | bsd-3-clause |
karoraw1/GLM_Wrapper | OTU_Time_Series/rarefy.py | 1 | 1197 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 12 11:38:23 2017
@author: login
"""
import pandas as pd
import numpy as np
def abund_vec_to_list(sp_ser):
sp_list = []
for idx in sp_ser.index:
sp_count = sp_ser.ix[idx]
for cnt in range(int(sp_count)):
sp_list.... | mit |
hsiaoyi0504/scikit-learn | sklearn/utils/tests/test_linear_assignment.py | 421 | 1349 | # Author: Brian M. Clapper, G Varoquaux
# License: BSD
import numpy as np
# XXX we should be testing the public API here
from sklearn.utils.linear_assignment_ import _hungarian
def test_hungarian():
matrices = [
# Square
([[400, 150, 400],
[400, 450, 600],
[300, 225, 300]],
... | bsd-3-clause |
lthurlow/Network-Grapher | proj/external/matplotlib-1.2.1/build/lib.linux-i686-2.7/matplotlib/backends/backend_wxagg.py | 2 | 6311 | """
backend_wxagg.py
A wxPython backend for Agg. This uses the GUI widgets written by
Jeremy O'Donoghue (jeremy@o-donoghue.com) and the Agg backend by John
Hunter (jdhunter@ace.bsd.uchicago.edu)
Copyright (C) 2003-5 Jeremy O'Donoghue, John Hunter, Illinois Institute of
Technology
License: This work is lice... | mit |
google-research/google-research | ebp/ebp/experiments/main.py | 1 | 7793 | # 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 |
ktaneishi/deepchem | contrib/pubchem_dataset/create_smiles_mapping.py | 6 | 2008 | import pandas as pd
import os
from rdkit import Chem
import time
import gzip
import pickle
import deepchem
def main():
print("Processing PubChem FTP Download")
data_dir = deepchem.utils.get_data_dir()
sdf_dir = os.path.join(data_dir, "SDF")
compound_read_count = 0
keys = list()
values = list()
overall... | mit |
davidgbe/scikit-learn | sklearn/manifold/isomap.py | 229 | 7169 | """Isomap for manifold learning"""
# Author: Jake Vanderplas -- <vanderplas@astro.washington.edu>
# License: BSD 3 clause (C) 2011
import numpy as np
from ..base import BaseEstimator, TransformerMixin
from ..neighbors import NearestNeighbors, kneighbors_graph
from ..utils import check_array
from ..utils.graph import... | bsd-3-clause |
mrm-xiefan/lunania-ai | flowers/01_job/utils.py | 3 | 1860 | import os
import config
import logging
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from luna import LunaExcepion
logger = logging.getLogger()
def preprocess_images(images):
# 'RGB'->'BGR'
images = images[:, :, ::-1]
# Zero-center by mean pixel
images[:, :, 0] -= 103.939
... | mit |
PanDAWMS/panda-server | pandaserver/test/esPreemption.py | 1 | 4461 | import datetime
from pandaserver.taskbuffer.TaskBuffer import taskBuffer
from pandacommon.pandalogger.PandaLogger import PandaLogger
from pandacommon.pandalogger.LogWrapper import LogWrapper
from pandaserver.brokerage.SiteMapper import SiteMapper
from pandaserver.taskbuffer import ErrorCode
# password
from pandaserver... | apache-2.0 |
t-g-williams/seattle_hackathon | code/aggregate_scores.py | 1 | 5982 |
import geopandas as gpd
import pandas as pd
import numpy as np
import sqlite3
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# user variables:
scores = ['score0_49', 'score50_69','score70_89','score90_100']
demographics = ['pop_total', 'pop_over_65', 'pop_below_10','pop_fe... | mit |
jmmease/pandas | pandas/tests/indexes/test_category.py | 3 | 41440 | # -*- coding: utf-8 -*-
import pytest
import pandas.util.testing as tm
from pandas.core.indexes.api import Index, CategoricalIndex
from .common import Base
from pandas.compat import range, PY3
import numpy as np
from pandas import Categorical, IntervalIndex, compat, notna
from pandas.util.testing import assert_alm... | bsd-3-clause |
mkomeichi/BuildingMLSystemsWithPython | ch01/analyze_webstats.py | 23 | 5113 | # This code is supporting material for the book
# Building Machine Learning Systems with Python
# by Willi Richert and Luis Pedro Coelho
# published by PACKT Publishing
#
# It is made available under the MIT License
import os
from utils import DATA_DIR, CHART_DIR
import scipy as sp
import matplotlib.pyplot as plt
sp.... | mit |
pauliacomi/pyGAPS | setup.py | 1 | 3326 | # -*- encoding: utf-8 -*-
import re
from pathlib import Path
from setuptools import find_packages
from setuptools import setup
def read(name, **kwargs):
"""Read and return file contents."""
with open(
Path(__file__).parent / name,
encoding=kwargs.get('encoding', 'utf8'),
) as fh:
... | mit |
Achuth17/scikit-bio | skbio/stats/ordination/__init__.py | 3 | 3899 | r"""
Ordination methods (:mod:`skbio.stats.ordination`)
==================================================
.. currentmodule:: skbio.stats.ordination
This module contains several ordination methods, including Principal
Coordinate Analysis, Correspondence Analysis, Redundancy Analysis and
Canonical Correspondence Analy... | bsd-3-clause |
frank-tancf/scikit-learn | benchmarks/bench_plot_fastkmeans.py | 294 | 4676 | from __future__ import print_function
from collections import defaultdict
from time import time
import numpy as np
from numpy import random as nr
from sklearn.cluster.k_means_ import KMeans, MiniBatchKMeans
def compute_bench(samples_range, features_range):
it = 0
results = defaultdict(lambda: [])
chun... | bsd-3-clause |
webmasterraj/FogOrNot | flask/lib/python2.7/site-packages/pandas/tests/test_base.py | 2 | 27482 | # -*- coding: utf-8 -*-
from __future__ import print_function
import re
from datetime import datetime, timedelta
import numpy as np
import pandas.compat as compat
import pandas as pd
from pandas.compat import u, StringIO
from pandas.core.base import FrozenList, FrozenNDArray, PandasDelegate
from pandas.tseries.base imp... | gpl-2.0 |
flaviostutz/datascience-snippets | kaggle-lung-cancer-approach1/modules/lungprepare.py | 1 | 10866 | import numpy as np
from modules.utils import Timer
from modules.logging import logger
import modules.utils as utils
import os
import dicom
import scipy.ndimage
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import scipy.ndimage as ndimage
from scipy.ndimage.interpolation import rotate
from scipy.n... | mit |
avishek-r-kumar/dfitools | MD_DFI_analysis/TakeAvg.py | 1 | 2266 | #!/usr/bin/env python
"""
Take Averages
-------------
./TakeAvg.py title
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import dfi
import glob
import sys
if __name__ == "__main__":
if len(sys.argv) < 2:
print __doc__
exit()
title = sys.argv... | bsd-3-clause |
garaud/ezhc | ezhc/series.py | 2 | 3823 |
import pandas as pd
def series(df, options, *args, **kwargs):
idx = df.index
col = df.columns
data = df.values
assert(isinstance(idx, pd.core.index.Index))
series = []
for k, c in enumerate(col):
if df[c].dtype.kind in 'fib':
v = data[:, k]
sec = c in kwa... | mit |
Dapid/GPy | GPy/core/parameterization/priors.py | 8 | 45900 | # Copyright (c) 2012 - 2014, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
from scipy.special import gammaln, digamma
from ...util.linalg import pdinv
from .domains import _REAL, _POSITIVE
import warnings
import weakref
class Prior(object):
domain ... | bsd-3-clause |
pratapvardhan/pandas | pandas/tests/indexes/timedeltas/test_scalar_compat.py | 4 | 2421 | # -*- coding: utf-8 -*-
"""
Tests for TimedeltaIndex methods behaving like their Timedelta counterparts
"""
import numpy as np
import pandas as pd
import pandas.util.testing as tm
from pandas import timedelta_range, Timedelta, TimedeltaIndex, Index, Series
class TestVectorizedTimedelta(object):
def test_tdi_tot... | bsd-3-clause |
alvarofierroclavero/scikit-learn | examples/linear_model/plot_sgd_weighted_samples.py | 344 | 1458 | """
=====================
SGD: Weighted samples
=====================
Plot decision function of a weighted dataset, where the size of points
is proportional to its weight.
"""
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
from sklearn import linear_model
# we create 20 points
np.random.seed(0)
X ... | bsd-3-clause |
SanPen/GridCal | src/GridCal/Engine/Devices/bus.py | 1 | 25409 | # This file is part of GridCal.
#
# GridCal 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.
#
# GridCal is distributed in the hope that... | gpl-3.0 |
evgchz/scikit-learn | examples/feature_stacker.py | 246 | 1906 | """
=================================================
Concatenating multiple feature extraction methods
=================================================
In many real-world examples, there are many ways to extract features from a
dataset. Often it is beneficial to combine several methods to obtain good
performance. Th... | bsd-3-clause |
meghana1995/sympy | examples/intermediate/mplot3d.py | 93 | 1252 | #!/usr/bin/env python
"""Matplotlib 3D plotting example
Demonstrates plotting with matplotlib.
"""
import sys
from sample import sample
from sympy import sin, Symbol
from sympy.external import import_module
def mplot3d(f, var1, var2, show=True):
"""
Plot a 3d function using matplotlib/Tk.
"""
im... | bsd-3-clause |
daniestevez/jupyter_notebooks | dslwp/vlbi.py | 1 | 3474 | #!/usr/bin/env python3
import numpy as np
import matplotlib.pyplot as plt
import scipy.signal
import scipy.io
import scipy.optimize
import sys
c = 299792458
fs = 40000
doppler_correction = -200
num_args = 7
def usage():
print("Usage {}: freq file0.raw file1.raw file0_utc file1_utc doppler_file output_folder".... | gpl-3.0 |
florian-f/sklearn | sklearn/utils/fixes.py | 4 | 6523 | """Compatibility fixes for older version of python, numpy and scipy
If you add content to this file, please give the version of the package
at which the fixe is no longer needed.
"""
# Authors: Emmanuelle Gouillart <emmanuelle.gouillart@normalesup.org>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# ... | bsd-3-clause |
DGrady/pandas | asv_bench/benchmarks/index_object.py | 4 | 5469 | from .pandas_vb_common import *
class SetOperations(object):
goal_time = 0.2
def setup(self):
self.rng = date_range('1/1/2000', periods=10000, freq='T')
self.rng2 = self.rng[:(-1)]
# object index with datetime values
if (self.rng.dtype == object):
self.idx_rng = s... | bsd-3-clause |
huzq/scikit-learn | sklearn/covariance/tests/test_robust_covariance.py | 16 | 6304 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Virgile Fritsch <virgile.fritsch@inria.fr>
#
# License: BSD 3 clause
import itertools
import numpy as np
from sklearn.utils._testing import assert_array_almost_equal
from sklearn.utils._testi... | bsd-3-clause |
arahuja/scikit-learn | sklearn/neighbors/graph.py | 19 | 6904 | """Nearest Neighbors graph functions"""
# Author: Jake Vanderplas <vanderplas@astro.washington.edu>
#
# License: BSD 3 clause (C) INRIA, University of Amsterdam
import warnings
from .base import KNeighborsMixin, RadiusNeighborsMixin
from .unsupervised import NearestNeighbors
def _check_params(X, metric, p, metric_p... | bsd-3-clause |
arkem/plotpcap | plotpcap.py | 1 | 3718 | from dpkt.ethernet import Ethernet
from dpkt.ip import IP
import dpkt.tcp
import pcap
import struct
import sys
from matplotlib import pyplot
#TODO: Proper argument parsing
def usage():
print "python plotpcap.py [filename] [x_axis] [y_axis] [tcpdump filter]"
print "filename: pcap file to plot"
print... | bsd-2-clause |
kevalds51/sympy | sympy/external/tests/test_importtools.py | 91 | 1215 | from sympy.external import import_module
# fixes issue that arose in addressing issue 6533
def test_no_stdlib_collections():
'''
make sure we get the right collections when it is not part of a
larger list
'''
import collections
matplotlib = import_module('matplotlib',
__import__kwargs={... | bsd-3-clause |
poryfly/scikit-learn | sklearn/feature_extraction/text.py | 110 | 50157 | # -*- coding: utf-8 -*-
# Authors: Olivier Grisel <olivier.grisel@ensta.org>
# Mathieu Blondel <mathieu@mblondel.org>
# Lars Buitinck <L.J.Buitinck@uva.nl>
# Robert Layton <robertlayton@gmail.com>
# Jochen Wersdörfer <jochen@wersdoerfer.de>
# Roman Sinayev <roman.sinayev@gma... | bsd-3-clause |
Haleyo/spark-tk | regression-tests/sparktkregtests/testcases/dicom/save_load_dicom_test.py | 13 | 4193 | # vim: set encoding=utf-8
# Copyright (c) 2016 Intel Corporation
#
# 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 require... | apache-2.0 |
manipopopo/tensorflow | tensorflow/contrib/learn/python/learn/estimators/estimators_test.py | 46 | 6682 | # 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 |
shunw/pythonML_code | ch_7_example.py | 1 | 15803 | from itertools import product
import matplotlib.pyplot as plt
import math
import numpy as np
import operator
import pandas as pd
from scipy.misc import comb
from sklearn import datasets
from sklearn.base import BaseEstimator
from sklearn.base import ClassifierMixin
from sklearn.base import clone
from sklearn.cross_va... | mit |
CommerceDataService/recordtagger | exploration/rstag.py | 1 | 4989 | # rstag.py
#
#
#
# Title: Mapping records to LDA-generated clusters
# Author: Rebecca Bilbro + Star Ying
# Date: 1/20/16
# Organization: Commerce Data Service, U.S. Department of Commerce
#####################################################################
# Imports
##############################... | mit |
geoalchimista/chflux | chflux/chflux.py | 1 | 3524 | """
PyChamberFlux main script
A package for calculating trace gas fluxes from chamber measurements
"""
import copy
import argparse
import datetime
import timeit
import importlib
import pkg_resources
from chflux.default_config import default_config
from chflux.io.readers import read_yaml, update_dict
class ChFluxPro... | bsd-3-clause |
yanlend/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 |
1mace1/render_function_graphs | main.py | 1 | 1626 | import matplotlib.pyplot as plt
import numpy as np
from FormatInput.FormatInputClass import FormatInputClass
from config import shape_of_x_range, x_step
def render_func_graph(formula_range_list_dict):
try:
## Set the settings to display graph
fig = plt.figure('Function graph')
ax = fig.add... | mit |
taknevski/tensorflow-xsmm | tensorflow/contrib/learn/python/learn/learn_io/__init__.py | 37 | 2375 | # 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 |
jolevq/odoopub | 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 |
rs2/pandas | pandas/tests/frame/methods/test_reset_index.py | 1 | 12506 | from datetime import datetime
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
IntervalIndex,
MultiIndex,
RangeIndex,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestResetIndex:
def test_reset_index_tz(self, tz_aw... | bsd-3-clause |
ChakriCherukuri/bqplot | tests/binary_serialization_test.py | 3 | 4801 | import bqplot
import numpy as np
import pandas as pd
from bqplot.traits import array_to_json, array_from_json
import pytest
def test_binary_serialize_1d(figure):
x = np.arange(10, dtype=np.float64)
y = (x**2).astype(np.int32)
scatter = bqplot.Scatter(x=x, y=y)
state = scatter.get_state()
assert s... | apache-2.0 |
chatcannon/numpy | numpy/doc/creation.py | 52 | 5507 | """
==============
Array Creation
==============
Introduction
============
There are 5 general mechanisms for creating arrays:
1) Conversion from other Python structures (e.g., lists, tuples)
2) Intrinsic numpy array array creation objects (e.g., arange, ones, zeros,
etc.)
3) Reading arrays from disk, either from... | bsd-3-clause |
soulmachine/scikit-learn | sklearn/covariance/tests/test_robust_covariance.py | 31 | 3340 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Virgile Fritsch <virgile.fritsch@inria.fr>
#
# License: BSD 3 clause
import numpy as np
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_alm... | bsd-3-clause |
timothydmorton/bokeh | sphinx/source/docs/tutorials/solutions/boxplot.py | 22 | 3003 | import numpy as np
import pandas as pd
from bokeh.plotting import figure, output_file, show
# Generate some synthetic time series for six different categories
cats = list("abcdef")
score = np.random.randn(2000)
g = np.random.choice(cats, 2000)
for i, l in enumerate(cats):
score[g == l] += i // 2
df = pd.DataFrame... | bsd-3-clause |
nelson-liu/scikit-learn | examples/cluster/plot_kmeans_assumptions.py | 270 | 2040 | """
====================================
Demonstration of k-means assumptions
====================================
This example is meant to illustrate situations where k-means will produce
unintuitive and possibly unexpected clusters. In the first three plots, the
input data does not conform to some implicit assumptio... | bsd-3-clause |
avistous/QSTK | qstkfeat/featutil.py | 1 | 22714 | '''
(c) 2011, 2012 Georgia Tech Research Corporation
This source code is released under the New BSD license. Please see
http://wiki.quantsoftware.org/index.php?title=QSTK_License
for license details.
Created on Nov 7, 2011
@author: John Cornwell
@contact: JohnWCornwellV@gmail.com
@summary: Contains utility functions... | bsd-3-clause |
StephenChusang/py-faster-rcnn-tracker | lib/roi_data_layer/minibatch.py | 4 | 8169 | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Compute minibatch blobs for training a Fast R-CNN network."""
impor... | mit |
mxjl620/scikit-learn | sklearn/cluster/tests/test_bicluster.py | 226 | 9457 | """Testing for Spectral Biclustering methods"""
import numpy as np
from scipy.sparse import csr_matrix, issparse
from sklearn.grid_search import ParameterGrid
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from... | bsd-3-clause |
ZENGXH/scikit-learn | sklearn/neighbors/tests/test_ball_tree.py | 129 | 10192 | import pickle
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.dis... | bsd-3-clause |
arjoly/scikit-learn | examples/cluster/plot_mean_shift.py | 351 | 1793 | """
=============================================
A demo of the mean-shift clustering algorithm
=============================================
Reference:
Dorin Comaniciu and Peter Meer, "Mean Shift: A robust approach toward
feature space analysis". IEEE Transactions on Pattern Analysis and
Machine Intelligence. 2002. ... | bsd-3-clause |
gcarq/freqtrade | freqtrade/optimize/hyperopt_loss_sortino.py | 1 | 1560 | """
SortinoHyperOptLoss
This module defines the alternative HyperOptLoss class which can be used for
Hyperoptimization.
"""
from datetime import datetime
import numpy as np
from pandas import DataFrame
from freqtrade.optimize.hyperopt import IHyperOptLoss
class SortinoHyperOptLoss(IHyperOptLoss):
"""
Defin... | gpl-3.0 |
abalckin/cwavenet | examples/WNvsPWN/show_speed.py | 3 | 2485 | #! /usr/bin/python3
import pylab as plb
import numpy as np
from matplotlib import rc
rc('text', usetex=True)
rc('text.latex', unicode=True)
rc('text.latex', preamble=r'\usepackage[russian]{babel}')
#rc('text.latex', preamble=r'\usepackage[lmodern]')
#rc('font',**{'family':'sans-serif','sans-serif':['Times']})
rc('font... | gpl-2.0 |
Ialong/shogun | examples/undocumented/python_modular/graphical/group_lasso.py | 26 | 7792 | #!/usr/bin/python
import numpy as np
import matplotlib.pyplot as plt
from numpy.random import rand, randn, permutation, multivariate_normal
from modshogun import BinaryLabels, RealFeatures, IndexBlock, IndexBlockGroup, FeatureBlockLogisticRegression
def generate_synthetic_logistic_data(n, p, L, blk_nnz, gcov, nstd)... | gpl-3.0 |
nigroup/nideep | nideep/eval/test_accuracy.py | 2 | 3985 | from nose.tools import assert_equals
import nideep.eval.accuracy as accuracy
import numpy as np
class TestHammingAccuracy:
def test_ideal_situation(self):
"""
Ideal case with accuracy 1
"""
for n in range(2, 100):
y_true = np.identity(n)
y_pred = np.identity(... | bsd-2-clause |
gef756/statsmodels | statsmodels/distributions/empirical_distribution.py | 11 | 5045 | """
Empirical CDF Functions
"""
import numpy as np
from scipy.interpolate import interp1d
def _conf_set(F, alpha=.05):
r"""
Constructs a Dvoretzky-Kiefer-Wolfowitz confidence band for the eCDF.
Parameters
----------
F : array-like
The empirical distributions
alpha : float
Set a... | bsd-3-clause |
thisisev/ThinkStats2 | code/regression.py | 62 | 9652 | """This file contains code used in "Think Stats",
by Allen B. Downey, available from greenteapress.com
Copyright 2010 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
"""
from __future__ import print_function, division
import math
import pandas
import random
import numpy as np
import statsmode... | gpl-3.0 |
NextThought/pypy-numpy | numpy/lib/function_base.py | 2 | 124014 | 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 |
dfm/aas | cluster.py | 2 | 1340 | # coding: utf-8
""" Run a sparse PCA on AAS abstract word counts """
from __future__ import division, print_function
__author__ = "adrn <adrn@astro.columbia.edu>"
# Standard library
import os, sys
import json
import time
# Third-party
import numpy as np
import sklearn
from sklearn.cluster import KMeans, MiniBatchK... | mit |
yutiansut/QUANTAXIS | QUANTAXIS/QAData/QADataStruct.py | 2 | 44972 | # coding:utf-8
#
# The MIT License (MIT)
#
# Copyright (c) 2016-2021 yutiansut/QUANTAXIS
#
# 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 without limitation th... | mit |
marcocaccin/scikit-learn | sklearn/manifold/t_sne.py | 6 | 34808 | # Author: Alexander Fabisch -- <afabisch@informatik.uni-bremen.de>
# Author: Christopher Moody <chrisemoody@gmail.com>
# Author: Nick Travers <nickt@squareup.com>
# License: BSD 3 clause (C) 2014
# This is the exact and Barnes-Hut t-SNE implementation. There are other
# modifications of the algorithm:
# * Fast Optimi... | bsd-3-clause |
RP7/R7-OCM | src/host/python/GSMTimingSync.py | 2 | 1162 | import numpy as np
from ctypes import *
import time
import GSM
from sptools import findFreq
from GSMSync import GSMSync
import matplotlib.pyplot as plt
class GSMTimingSync(GSMSync):
def __init__(self,f,url='http://192.168.1.110:8080/'):
GSMSync.__init__(self,f,url)
self.sb = GSM.SB()
self.osr = self.fc/GSM.sy... | apache-2.0 |
stylianos-kampakis/scikit-learn | examples/cluster/plot_agglomerative_clustering_metrics.py | 402 | 4492 | """
Agglomerative clustering with different metrics
===============================================
Demonstrates the effect of different metrics on the hierarchical clustering.
The example is engineered to show the effect of the choice of different
metrics. It is applied to waveforms, which can be seen as
high-dimens... | bsd-3-clause |
ml-lab/pylearn2 | pylearn2/cross_validation/dataset_iterators.py | 4 | 19415 | """
Cross-validation dataset iterators.
"""
__author__ = "Steven Kearnes"
__copyright__ = "Copyright 2014, Stanford University"
__license__ = "3-clause BSD"
__maintainer__ = "Steven Kearnes"
import numpy as np
import warnings
try:
from sklearn.cross_validation import (KFold, StratifiedKFold, ShuffleSplit,
... | bsd-3-clause |
rfabila/Pyscholar | pyscholar/scopus.py | 1 | 62065 | import ConfigParser
import os
import time
import Queue
import threading
import itertools as it
import math
import pickle
import requests
#import networkx as nx
import pandas as pd
#import matplotlib.pyplot as plt
class Quota_Exceeded(Exception):
def __str__(self):
return "You have exceeded the quotas on a... | gpl-2.0 |
jreback/pandas | pandas/core/arrays/timedeltas.py | 1 | 35525 | from datetime import timedelta
from typing import List, Optional, Union
import numpy as np
from pandas._libs import lib, tslibs
from pandas._libs.tslibs import (
BaseOffset,
NaT,
NaTType,
Period,
Tick,
Timedelta,
Timestamp,
iNaT,
to_offset,
)
from pandas._libs.tslibs.conversion imp... | bsd-3-clause |
umuzungu/zipline | tests/test_tradesimulation.py | 2 | 3266 | #
# Copyright 2014 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 |
Khushmeet/char-conv-classification | helper.py | 1 | 1549 | import numpy as np
import string
import pandas as pd
from keras.preprocessing.sequence import pad_sequences
char_limit = 1014
def get_data(path):
labels = []
inputs = []
df = pd.read_csv(path, names=['one','second','third'])
df = df.drop('second', axis=1)
data = df.values
for label,text in da... | mit |
ywcui1990/nupic.research | projects/sequence_prediction/discrete_sequences/plotMultiplePredictionWithErrBar.py | 12 | 6799 | #!/usr/bin/env python
# ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2015, Numenta, Inc. Unless you have an agreement
# with Numenta, Inc., for a separate license for this software code, the
# following terms and conditions ... | agpl-3.0 |
baifan-wang/structural-bioinformatics_in_python | SBio/Plot.py | 1 | 5817 | #!/usr/bin/env python3.5
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib as mpl
import sys,os
import time
def plot_torsion_wheel(angles, title, filename='1.png', abz=True, show = False):
if show ==True:
import matplotlib.pyplot as plt
else:
mpl.use('Agg')
import matplotlib.... | gpl-3.0 |
unnikrishnankgs/va | venv/lib/python3.5/site-packages/matplotlib/tests/test_offsetbox.py | 12 | 2817 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import nose
from nose.tools import assert_true, assert_false
from matplotlib.testing.decorators import image_comparison, cleanup
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matp... | bsd-2-clause |
ryfeus/lambda-packs | LightGBM_sklearn_scipy_numpy/source/sklearn/metrics/tests/test_score_objects.py | 5 | 21280 | import pickle
import tempfile
import shutil
import os
import numbers
import numpy as np
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing i... | mit |
brainstorm/bcbio-nextgen-vm | setup.py | 2 | 2841 | #!/usr/bin/env python
import os
import shutil
import sys
from setuptools import setup, find_packages
version = "0.1.0a"
def write_version_py():
version_py = os.path.join(os.path.dirname(__file__), "bcbiovm", "version.py")
try:
import subprocess
p = subprocess.Popen(["git", "rev-parse", "--shor... | mit |
gfyoung/pandas | pandas/tests/arrays/boolean/test_construction.py | 6 | 12857 | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.arrays import BooleanArray
from pandas.core.arrays.boolean import coerce_to_array
def test_boolean_array_constructor():
values = np.array([True, False, True, False], dtype="bool")
mask = np.array([False, False, Fals... | bsd-3-clause |
rroart/stockstat | python/cli/myutils.py | 1 | 1573 | import pandas as pd
import numpy as np
import math
import myconfig as cf
def fixzero(v):
print(type(v))
return [ None if x == 0 else x for x in v ]
def fixzero2(v):
return v.replace(0, np.nan)
def fixna(v, interpolation):
#print(type(v))
if cf.nafix == 1:
return(v.dropna())
if interp... | agpl-3.0 |
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