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 |
|---|---|---|---|---|---|
plazas/wfirst-detectors-vnl | code/bias_nonlinearity_vs_beta_version2_vs_magnitude.py | 1 | 27257 | #!/usr/bin/python
import numpy as np
import os
import sys
import math
import matplotlib
matplotlib.use('Pdf')
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.font_manager as fm
## 7-20-15
## Simple code to ... | mit |
aewhatley/scikit-learn | sklearn/decomposition/truncated_svd.py | 199 | 7744 | """Truncated SVD for sparse matrices, aka latent semantic analysis (LSA).
"""
# Author: Lars Buitinck <L.J.Buitinck@uva.nl>
# Olivier Grisel <olivier.grisel@ensta.org>
# Michael Becker <mike@beckerfuffle.com>
# License: 3-clause BSD.
import numpy as np
import scipy.sparse as sp
try:
from scipy.sp... | bsd-3-clause |
kaiserroll14/301finalproject | main/pandas/io/tests/test_pickle.py | 9 | 7588 | # pylint: disable=E1101,E1103,W0232
""" manage legacy pickle tests """
from datetime import datetime, timedelta
import operator
import pickle as pkl
import nose
import os
from distutils.version import LooseVersion
import numpy as np
import pandas.util.testing as tm
import pandas as pd
from pandas import Index
from ... | gpl-3.0 |
aerijman/Transcriptional-Activation-Domains | empirical_null_model/libraries/predictions_library.py | 2 | 5993 | import pandas as pd
import numpy as np
import re,os
import matplotlib.pyplot as plt
##################################### MISC. FUNCTIONS ##################################
# list of one-letter aa
aa = ['R','H','K','D','E','S','T','N','Q','A','V','L','I','M','F' ,'Y', 'W', 'C','G','P']
'''Split data into Train, Tes... | mit |
musically-ut/statsmodels | statsmodels/iolib/summary2.py | 21 | 19583 | from statsmodels.compat.python import (lrange, iterkeys, iteritems, lzip,
reduce, itervalues, zip, string_types,
range)
from statsmodels.compat.collections import OrderedDict
import numpy as np
import pandas as pd
import datetime
import textw... | bsd-3-clause |
cginternals/glkernel | benchmarking/visualize.py | 1 | 3064 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 13 12:28:50 2018
@author: florian
"""
#%%
import matplotlib.figure
import matplotlib.pyplot as plt
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
import itertools
import seaborn as sns
import pandas as pd
from numpy im... | mit |
Saurabh7/shogun | examples/undocumented/python_modular/graphical/preprocessor_kpca_graphical.py | 26 | 1893 | from numpy import *
import matplotlib.pyplot as p
import os, sys, inspect
path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../tools'))
if not path in sys.path:
sys.path.insert(1, path)
del path
from generate_circle_data import circle_data
cir=circle_data()
number_of_points_for_circle1=42
number_of_p... | mit |
mrichart/NNcoloring | src/train_NN_cv.py | 1 | 3993 | import pickle
import gc
import numpy as np
from sknn.mlp import Classifier, Convolution, Layer
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.model_selection import cross_val_score
patch_sizes = [[3,3]] #[[3... | mit |
plotly/python-api | packages/python/plotly/plotly/figure_factory/_bullet.py | 2 | 13154 | from __future__ import absolute_import
import collections
import math
from plotly import exceptions, optional_imports
import plotly.colors as clrs
from plotly.figure_factory import utils
import plotly
import plotly.graph_objs as go
pd = optional_imports.get_module("pandas")
def _bullet(
df,
markers,
m... | mit |
mahajrod/MACE | MACE/Visualization/TrackGroups.py | 1 | 3534 |
from MACE.Visualization.Styles.TrackGroup import TrackGroupStyle, default_track_group_style
import math
from collections import Iterable, OrderedDict
import numpy as np
import matplotlib.pyplot as plt
plt.ioff()
from matplotlib.collections import PatchCollection
from matplotlib.patches import Rectangle
class Track... | apache-2.0 |
balborian/libmesh | doc/statistics/github_traffic_base.py | 1 | 6329 | #!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
import math
# Import stuff for working with dates
from datetime import datetime
from matplotlib.dates import date2num, num2date
import calendar
# Github has a "traffic" page now, but it doesn't seem like you can
# put in an arbitrary date range?... | lgpl-2.1 |
peifu/tests | python/jira/jira_client.py | 1 | 4613 | #!/usr/bin/env python3
#coding: utf-8
from jira import JIRA
import re
import json
import prettytable as pt
import pandas as pd
import numpy as np
from io import StringIO
DEBUG_ENABLE = 0
MAX_ISSUE = 50
MAX_SUMMARY = 80
JIRA_SERVER = "cfg/jira_server.json"
JIRA_FILTER = "cfg/jira_filter.json"
JIRA_PATTERN = "project... | gpl-2.0 |
timy/dm_spec | ana/mpi_spec_1d/plot_orien.py | 1 | 1634 | from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
from itertools import product, combinations
n_esmb = 100000
fig = plt.figure()
ax = fig.gca(projection='3d')
ax.set_aspect("equal")
data = np.loadtxt("res/euler.dat")
#draw cube
# r = [-1, 1]
# for s, e in combinations(np.arra... | mit |
MSeifert04/astropy | astropy/visualization/wcsaxes/tests/test_wcsapi.py | 3 | 15461 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import os
import warnings
from textwrap import dedent
import pytest
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.transforms import Affine2D, IdentityTransform
from astropy.io import fits
from astropy import units as u
from astropy... | bsd-3-clause |
skjerns/AutoSleepScorerDev | plotting.py | 1 | 13645 | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 19 17:10:40 2017
@author: Simon
"""
import matplotlib.pyplot as plt
import pickle
import numpy as np
import seaborn as sns
import re
import sdill as dill
from sklearn.metrics import f1_score
import tools
cmap = sns.cubehelix_palette(8, start=2.8, rot=-.1, as_cmap=True)
fs... | gpl-3.0 |
hrjn/scikit-learn | sklearn/linear_model/tests/test_ridge.py | 13 | 26703 | import numpy as np
import scipy.sparse as sp
from scipy import linalg
from itertools import product
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn... | bsd-3-clause |
alisaad05/cimpy | cimpy.py | 1 | 13680 | #!/usr/bin/env python
#import math
# import sys
import numpy as np
import matplotlib.pyplot as plt
import mayavi.mlab as ml # to use mayavi mlab scripting tools and rendering
from mpl_toolkits.mplot3d import Axes3D #to use Scatter/Scatter 3D
from tvtk.api import tvtk
# import vtk
# All returned arrays... | gpl-2.0 |
kevin-intel/scikit-learn | examples/ensemble/plot_gradient_boosting_categorical.py | 6 | 9151 | """
================================================
Categorical Feature Support in Gradient Boosting
================================================
.. currentmodule:: sklearn
In this example, we will compare the training times and prediction
performances of :class:`~ensemble.HistGradientBoostingRegressor` with
dif... | bsd-3-clause |
schoolie/bokeh | bokeh/sampledata/daylight.py | 13 | 2683 | """ Daylight hours from http://www.sunrisesunset.com
"""
from __future__ import absolute_import
from bokeh.util.dependencies import import_required
pd = import_required('pandas',
'daylight sample data requires Pandas (http://pandas.pydata.org) to be installed')
import re
import datetime
import requests... | bsd-3-clause |
sauloal/cnidaria | scripts/venv/lib/python2.7/site-packages/pandas/io/excel.py | 4 | 49188 | """
Module parse to/from Excel
"""
#----------------------------------------------------------------------
# ExcelFile class
import os
import datetime
import abc
import numpy as np
from pandas.io.parsers import TextParser
from pandas.io.common import _is_url, _urlopen
from pandas.tseries.period import Period
from pan... | mit |
tapomayukh/projects_in_python | rapid_categorization/haptic_map/NIDRR/Demo_April_2014/hmm_taxel_based_nidrr.py | 1 | 14180 | #!/usr/bin/env python
# Online haptic_map implementation
import pylab as pyl
import numpy as np
import matplotlib.pyplot as pp
#from enthought.mayavi import mlab
import scipy as scp
import scipy.ndimage as ni
import roslib; roslib.load_manifest('sandbox_tapo_darpa_m3')
import rospy
import tf
import os
#import hrl_l... | mit |
dch312/numpy | numpy/lib/twodim_base.py | 2 | 26775 | """ Basic functions for manipulating 2d arrays
"""
from __future__ import division, absolute_import, print_function
from numpy.core.numeric import (
asanyarray, arange, zeros, greater_equal, multiply, ones, asarray,
where, int8, int16, int32, int64, empty, promote_types, diagonal,
)
from numpy.core import... | bsd-3-clause |
NixaSoftware/CVis | venv/lib/python2.7/site-packages/pandas/tests/indexes/timedeltas/test_setops.py | 15 | 2556 | import numpy as np
import pandas as pd
import pandas.util.testing as tm
from pandas import TimedeltaIndex, timedelta_range, Int64Index
class TestTimedeltaIndex(object):
_multiprocess_can_split_ = True
def test_union(self):
i1 = timedelta_range('1day', periods=5)
i2 = timedelta_range('3day',... | apache-2.0 |
gfyoung/pandas | pandas/tests/dtypes/test_concat.py | 3 | 3254 | import pytest
import pandas.core.dtypes.concat as _concat
import pandas as pd
from pandas import DatetimeIndex, Period, PeriodIndex, Series, TimedeltaIndex
import pandas._testing as tm
@pytest.mark.parametrize(
"to_concat, expected",
[
# int/float/str
([["a"], [1, 2]], ["i", "object"]),
... | bsd-3-clause |
h2oai/h2o-dev | h2o-py/h2o/estimators/pca.py | 2 | 9737 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
#
# This file is auto-generated by h2o-3/h2o-bindings/bin/gen_python.py
# Copyright 2016 H2O.ai; Apache License Version 2.0 (see LICENSE for details)
#
from __future__ import absolute_import, division, print_function, unicode_literals
from h2o.estimators.estimator_base ... | apache-2.0 |
jtorrents/networkx | examples/multigraph/chess_masters.py | 11 | 5140 | #!/usr/bin/env python
"""
An example of the MultiDiGraph clas
The function chess_pgn_graph reads a collection of chess
matches stored in the specified PGN file
(PGN ="Portable Game Notation")
Here the (compressed) default file ---
chess_masters_WCC.pgn.bz2 ---
contains all 685 World Chess Championship matches
from... | bsd-3-clause |
cactusbin/nyt | matplotlib/examples/animation/old_animation/animation_blit_gtk.py | 3 | 1567 | #!/usr/bin/env python
from __future__ import print_function
# For detailed comments on animation and the techniques used here, see
# the wiki entry
# http://www.scipy.org/wikis/topical_software/MatplotlibAnimation
import time
import gtk, gobject
import matplotlib
matplotlib.use('GTKAgg')
import numpy as np
import ... | unlicense |
cbmoore/statsmodels | statsmodels/datasets/macrodata/data.py | 25 | 3184 | """United States Macroeconomic data"""
__docformat__ = 'restructuredtext'
COPYRIGHT = """This is public domain."""
TITLE = __doc__
SOURCE = """
Compiled by Skipper Seabold. All data are from the Federal Reserve Bank of St.
Louis [1] except the unemployment rate which was taken from the National
Bureau of... | bsd-3-clause |
robcarver17/pysystemtrade | systems/accounts/curves/account_curve_group.py | 1 | 5186 | from copy import copy
import pandas as pd
from syscore.dateutils import Frequency
from systems.accounts.curves.account_curve import accountCurve
from systems.accounts.curves.dict_of_account_curves import dictOfAccountCurves
from systems.accounts.pandl_calculators.pandl_generic_costs import GROSS_CURVE, NET_CURVE, COS... | gpl-3.0 |
pombredanne/django-cachalot | benchmark.py | 3 | 10323 | #!/usr/bin/env python
# coding: utf-8
from __future__ import unicode_literals, print_function
from collections import OrderedDict
import io
import os
import platform
from random import choice
import re
import sqlite3
from subprocess import check_output
from time import time
os.environ.setdefault('DJANGO_SETTINGS_MOD... | bsd-3-clause |
scottpurdy/NAB | nab/plot.py | 4 | 17555 | # ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2017, 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... | agpl-3.0 |
klocey/hydrobide | figure_code/MacroecologyPatterns/DiversityAbundanceScaling.py | 8 | 3887 | from __future__ import division
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import os
import sys
import scipy as sc
from scipy import stats
import statsmodels.stats.api as sms
import statsmodels.api as sm
import statsmodels.formula.api as smf
from statsmodels.stats.outliers_influence import ... | mit |
boompieman/iim_project | project_python2/lib/python2.7/site-packages/IPython/terminal/ipapp.py | 5 | 13824 | #!/usr/bin/env python
# encoding: utf-8
"""
The :class:`~IPython.core.application.Application` object for the command
line :command:`ipython` program.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import absolute_import
from __future__ import ... | gpl-3.0 |
astocko/statsmodels | examples/incomplete/arima.py | 34 | 1605 | from __future__ import print_function
from statsmodels.datasets.macrodata import load_pandas
from statsmodels.tsa.base.datetools import dates_from_range
from statsmodels.tsa.arima_model import ARIMA
import matplotlib.pyplot as plt
import numpy as np
import statsmodels.api as sm
plt.interactive(False)
# let's examine a... | bsd-3-clause |
leggitta/mne-python | mne/tests/test_report.py | 9 | 8943 | # Authors: Mainak Jas <mainak@neuro.hut.fi>
# Teon Brooks <teon.brooks@gmail.com>
#
# License: BSD (3-clause)
import os
import os.path as op
import glob
import warnings
import shutil
from nose.tools import assert_true, assert_equal, assert_raises
from mne import Epochs, read_events, pick_types, read_evokeds
... | bsd-3-clause |
capitancambio/scikit-neuralnetwork | sknn/mlp.py | 1 | 20512 | from __future__ import (absolute_import, unicode_literals, print_function)
__all__ = ['MultiLayerPerceptronRegressor', 'MultiLayerPerceptronClassifier']
import os
import time
import logging
import itertools
log = logging.getLogger('sknn')
# By default, we force Theano to use a GPU and fallback to CPU, using 32-bit... | bsd-3-clause |
TeamHG-Memex/eli5 | tests/utils.py | 1 | 4565 | # -*- coding: utf-8 -*-
from __future__ import print_function
import os
import inspect
import json
from pprint import pprint
from hypothesis.strategies import integers
from hypothesis.extra.numpy import arrays
import numpy as np
from eli5.base import Explanation
from eli5.formatters import format_as_text, format_as_h... | mit |
xgds/xgds_plot | xgds_plot/staticPlot.py | 1 | 5302 | #!/usr/bin/env python
#__BEGIN_LICENSE__
# Copyright (c) 2015, United States Government, as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All rights reserved.
#
# The xGDS platform is licensed under the Apache License, Version 2.0
# (the "License"); you may not use this file... | apache-2.0 |
Srisai85/scikit-learn | examples/ensemble/plot_adaboost_hastie_10_2.py | 355 | 3576 | """
=============================
Discrete versus Real AdaBoost
=============================
This example is based on Figure 10.2 from Hastie et al 2009 [1] and illustrates
the difference in performance between the discrete SAMME [2] boosting
algorithm and real SAMME.R boosting algorithm. Both algorithms are evaluate... | bsd-3-clause |
IssamLaradji/scikit-learn | examples/linear_model/plot_logistic_path.py | 349 | 1195 | #!/usr/bin/env python
"""
=================================
Path with L1- Logistic Regression
=================================
Computes path on IRIS dataset.
"""
print(__doc__)
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD 3 clause
from datetime import datetime
import numpy as np
import... | bsd-3-clause |
LCAV/pyroomacoustics | examples/room_from_rt60.py | 1 | 2970 | """
This example creates a room with reverberation time specified by inverting Sabine's formula.
This results in a reverberation time slightly longer than desired.
The simulation is pure image source method.
The audio sample with the reverb added is saved back to `examples/samples/guitar_16k_reverb.wav`.
"""
import arg... | mit |
operalib/operalib | operalib/kernels.py | 2 | 18637 | """
:mod:`operalib.kernels` implements some Operator-Valued Kernel
models.
"""
# Author: Romain Brault <romain.brault@telecom-paristech.fr> with help from
# the scikit-learn community.
# License: MIT
from numpy import dot, diag, sqrt
from sklearn.metrics.pairwise import rbf_kernel
from sklearn.kernel_approxim... | bsd-3-clause |
joansmith/openmicroscopy | components/tools/OmeroPy/src/omero/install/perf_test.py | 11 | 11850 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Add: screen/plate
# Add: plotting
#
import re
import os
import sys
import path
import time
import omero
import logging
import omero.cli
import omero.util
import omero.util.temp_files
import uuid
command_pattern = "^\s*(\w+)(\((.*)\))?(:(.*))?$"
command_pattern_compi... | gpl-2.0 |
altairpearl/scikit-learn | examples/linear_model/plot_ols_3d.py | 350 | 2040 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Sparsity Example: Fitting only features 1 and 2
=========================================================
Features 1 and 2 of the diabetes-dataset are fitted and
plotted below. It illustrates that although feature... | bsd-3-clause |
glouppe/scikit-learn | sklearn/utils/tests/test_shortest_path.py | 303 | 2841 | from collections import defaultdict
import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.utils.graph import (graph_shortest_path,
single_source_shortest_path_length)
def floyd_warshall_slow(graph, directed=False):
N = graph.shape[0]
#set nonzer... | bsd-3-clause |
mbayon/TFG-MachineLearning | vbig/lib/python2.7/site-packages/scipy/signal/spectral.py | 7 | 66506 | """Tools for spectral analysis.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from scipy import fftpack
from . import signaltools
from .windows import get_window
from ._spectral import _lombscargle
from ._arraytools import const_ext, even_ext, odd_ext, zero_ext
import warning... | mit |
shogun-toolbox/shogun | examples/undocumented/python/graphical/classifier_perceptron_graphical.py | 2 | 2321 | import matplotlib.pyplot as plt
import numpy as np
parameter_list = [[20, 5, 1, 1000, 1, None, 5], [100, 5, 1, 1000, 1, None, 10]]
def classifier_perceptron_graphical(n=100, distance=5, learn_rate=1, max_iter=1000, num_threads=1, seed=None,
nperceptrons=5):
import shogun as sg... | bsd-3-clause |
victor-prado/broker-manager | environment/lib/python3.5/site-packages/pandas/tests/frame/test_mutate_columns.py | 7 | 7831 | # -*- coding: utf-8 -*-
from __future__ import print_function
from pandas.compat import range, lrange
import numpy as np
from pandas import DataFrame, Series, Index
from pandas.util.testing import (assert_series_equal,
assert_frame_equal,
assertRaise... | mit |
ClusterWhisperer/clusterstats | tests/test_http.py | 1 | 8802 | """Testcases for the clusterstats module."""
import unittest
import json
from pprint import pprint
import httpretty
from requests import HTTPError, Timeout
import pandas as pd
from clusterstats import http
from clusterstats import stats
class ClusterStatsTest(unittest.TestCase):
def test_read_servers(self):
... | mit |
rhyolight/nupic.research | projects/l2_pooling/capacity_test.py | 4 | 61224 | # 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 ... | gpl-3.0 |
mirestrepo/voxels-at-lems | bmvc12/bof/plot_category_accuracy_all_trials.py | 1 | 2424 | #!/usr/bin/env python
# encoding: utf-8
"""
Author: Isabel Restrepo
"""
import os
import sys
import os;
import optparse;
import time;
import sys;
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import glob
main_dir="/Users/isa/Experiments/BOF/helicopter_providence";
clf_name = "svm_gamma_10.0... | bsd-2-clause |
Mrngilles/matplotlib-styles | examples/test_functions.py | 1 | 1342 | import numpy as np
import matplotlib.pyplot as plt
import scipy.special as spsp
PTS_NUM = 200
def sinplot(num = 5):
fig, ax = plt.subplots()
x = np.linspace(0, 14, PTS_NUM)
for i in xrange(1, num):
ax.plot(x, np.sin(x + 0.5*i)*(num-i), 'o-', label="i = {}".format(i))
ax.set_title("Modified sinu... | mit |
fyffyt/scikit-learn | examples/decomposition/plot_faces_decomposition.py | 204 | 4452 | """
============================
Faces dataset decompositions
============================
This example applies to :ref:`olivetti_faces` different unsupervised
matrix decomposition (dimension reduction) methods from the module
:py:mod:`sklearn.decomposition` (see the documentation chapter
:ref:`decompositions`) .
"""... | bsd-3-clause |
bjanesh/odi-tools | docs/source/conf.py | 1 | 11137 | # -*- coding: utf-8 -*-
#
# odi-tools documentation build configuration file, created by
# sphinx-quickstart on Wed Aug 17 15:20:27 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
#... | bsd-3-clause |
Mazecreator/tensorflow | tensorflow/contrib/timeseries/examples/known_anomaly.py | 53 | 6786 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | apache-2.0 |
liyu1990/sklearn | sklearn/model_selection/tests/test_validation.py | 20 | 27961 | """Test the validation module"""
from __future__ import division
import sys
import warnings
import numpy as np
from scipy.sparse import coo_matrix, csr_matrix
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_equal
from sklearn.utils... | bsd-3-clause |
teuben/masc | examples/fitsdiff3.py | 2 | 1131 | #! /usr/bin/env python
#
# This routine can diff images from its neighbors. For a series i=1,N
# this can loop over i=2,N-2 to produce N-2 difference images
#
# B_i = A_i - (A_i-1 + A_i+1) / 2
#
# Optionally some hanning smoothing could be applied to the difference
# image to improved source detection
#
from __futu... | mit |
nipy/brainx | brainx/recarrutil.py | 2 | 6756 | """Some utilities for manipulating recarrays.
Warning
-------
This module should *never* be imported as 'import *'
"""
import numpy as np
import numpy.testing as nt
import sys
# The functionality in this module is now better provided by
# Pandas' DataFrame -- http://pandas.pydata.org/
sys.stderr.write('brainx.reca... | bsd-3-clause |
wesm/statsmodels | scikits/statsmodels/graphics/tsaplots.py | 2 | 2369 |
import numpy as np
#copied/moved from sandbox/tsa/example_arma.py
def plotacf(ax, corr, lags=None, usevlines=True, **kwargs):
"""
Plot the auto or cross correlation.
lags on horizontal and correlations on vertical axis
Note: adjusted from matplotlib's pltxcorr
Parameters
----------
ax ... | bsd-3-clause |
ravindrapanda/tensorflow | tensorflow/python/estimator/inputs/queues/feeding_functions_test.py | 59 | 13552 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | apache-2.0 |
kHarshit/DAT210x_Microsoft | Module4/assignment1.py | 1 | 3417 | import pandas as pd
import matplotlib.pyplot as plt
import matplotlib
import datetime
from mpl_toolkits.mplot3d import Axes3D
from plyfile import PlyData, PlyElement
# Every 100 data samples, we save 1. If things run too
# slow, try increasing this number. If things run too fast,
# try decreasing it... =)
reduce_fac... | mit |
phdowling/scikit-learn | sklearn/datasets/lfw.py | 141 | 19372 | """Loader for the Labeled Faces in the Wild (LFW) dataset
This dataset is a collection of JPEG pictures of famous people collected
over the internet, all details are available on the official website:
http://vis-www.cs.umass.edu/lfw/
Each picture is centered on a single face. The typical task is called
Face Veri... | bsd-3-clause |
smartscheduling/scikit-learn-categorical-tree | examples/ensemble/plot_adaboost_twoclass.py | 347 | 3268 | """
==================
Two-class AdaBoost
==================
This example fits an AdaBoosted decision stump on a non-linearly separable
classification dataset composed of two "Gaussian quantiles" clusters
(see :func:`sklearn.datasets.make_gaussian_quantiles`) and plots the decision
boundary and decision scores. The di... | bsd-3-clause |
poryfly/scikit-learn | sklearn/tests/test_isotonic.py | 230 | 11087 | import numpy as np
import pickle
from sklearn.isotonic import (check_increasing, isotonic_regression,
IsotonicRegression)
from sklearn.utils.testing import (assert_raises, assert_array_equal,
assert_true, assert_false, assert_equal,
... | bsd-3-clause |
wiheto/teneto | teneto/classes/bids.py | 1 | 22842 | """TenetoBIDS is a class to use Teneto functions with data organized with BIDS (neuroimaging data)."""
import os
import inspect
import json
# import bids
import importlib
import numpy as np
import pandas as pd
import bids
from .. import __path__ as tenetopath
from .. import __version__ as tenetoversion
from ..neuroimag... | gpl-3.0 |
0h-n0/forex_py | frxpy/data/csvfile.py | 1 | 1436 | """
csvfile.py
---------------
This module contains some classes which can treat csv files.
.. autoclass:: fileio.csvfile.CSV
"""
import time
import codecs
import pathlib
import calendar
import h5py
import pandas
import numpy as np
class CSVFile(object):
def __init__(self, csvfile, header_info='ohlc', bita... | mit |
kylerbrown/scikit-learn | examples/datasets/plot_random_dataset.py | 348 | 2254 | """
==============================================
Plot randomly generated classification dataset
==============================================
Plot several randomly generated 2D classification datasets.
This example illustrates the :func:`datasets.make_classification`
:func:`datasets.make_blobs` and :func:`datasets.... | bsd-3-clause |
rikima/spark | python/pyspark/sql/tests.py | 1 | 272759 | # -*- encoding: utf-8 -*-
#
# 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 ... | apache-2.0 |
lazywei/scikit-learn | sklearn/datasets/base.py | 196 | 18554 | """
Base IO code for all datasets
"""
# Copyright (c) 2007 David Cournapeau <cournape@gmail.com>
# 2010 Fabian Pedregosa <fabian.pedregosa@inria.fr>
# 2010 Olivier Grisel <olivier.grisel@ensta.org>
# License: BSD 3 clause
import os
import csv
import shutil
from os import environ
from os.pa... | bsd-3-clause |
nhejazi/scikit-learn | examples/cluster/plot_digits_agglomeration.py | 377 | 1694 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Feature agglomeration
=========================================================
These images how similar features are merged together using
feature agglomeration.
"""
print(__doc__)
# Code source: Gaël Varoquaux
#... | bsd-3-clause |
homeslike/OpticalTweezer | scripts/data2/vCOMhist.py | 28 | 1192 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import sys
# import vCOMdata.dat as array
# folder="../output/runs/170123_2033/"
folder="../output/runs/"+str(sys.argv[1])
# when = str(sys.argv[1])
for i in range(0,len(sys.argv)):
print(str(i) + ": "+ str(sys.argv[i]))
# data = np.... | mit |
Srisai85/scikit-learn | benchmarks/bench_isotonic.py | 268 | 3046 | """
Benchmarks of isotonic regression performance.
We generate a synthetic dataset of size 10^n, for n in [min, max], and
examine the time taken to run isotonic regression over the dataset.
The timings are then output to stdout, or visualized on a log-log scale
with matplotlib.
This alows the scaling of the algorith... | bsd-3-clause |
Jokiva/Computational-Physics | lecture 14/Problem_3.py | 1 | 2068 | # import packages
import numpy as np
import matplotlib.pyplot as plt
# the amount of shift up
verti_dev = 3
# the modified integrand
def f_prime(x):
return 2 * np.sin(2 * np.sqrt(np.pi ** 2 - x ** 2)) + verti_dev
if __name__ == '__main__':
# test block
"""
x = np.linspace(0, np.pi)
y = f_prime(... | gpl-3.0 |
cpcloud/ibis | ibis/config.py | 1 | 20553 | # This file has been adapted from pandas/core/config.py. pandas 3-clause BSD
# license. See LICENSES/pandas
#
# Further modifications:
#
# Copyright 2014 Cloudera 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 ... | apache-2.0 |
etkirsch/scikit-learn | examples/neighbors/plot_nearest_centroid.py | 264 | 1804 | """
===============================
Nearest Centroid Classification
===============================
Sample usage of Nearest Centroid classification.
It will plot the decision boundaries for each class.
"""
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
f... | bsd-3-clause |
gmatteo/pymatgen | pymatgen/io/abinit/pseudos.py | 5 | 65306 | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
This module provides objects describing the basic parameters of the
pseudopotentials used in Abinit, and a parser to instantiate pseudopotential objects..
"""
import abc
import collections
import logging
im... | mit |
monkeypants/MAVProxy | MAVProxy/modules/lib/wxhorizon_ui.py | 1 | 32242 | import time
from MAVProxy.modules.lib.wxhorizon_util import Attitude, VFR_HUD, Global_Position_INT, BatteryInfo, FlightState, WaypointInfo, FPS
from MAVProxy.modules.lib.wx_loader import wx
import math, time
import matplotlib
matplotlib.use('wxAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as Fi... | gpl-3.0 |
wathen/PhD | MHD/FEniCS/MHD/Stabilised/SaddlePointForm/Test/SplitMatrix/MHDfluid.py | 1 | 14477 | #!/usr/bin/python
# interpolate scalar gradient onto nedelec space
import petsc4py
import sys
petsc4py.init(sys.argv)
from petsc4py import PETSc
from dolfin import *
Print = PETSc.Sys.Print
# from MatrixOperations import *
import numpy as np
#import matplotlib.pylab as plt
import PETScIO as IO
import common
import ... | mit |
gaoshuming/udacity | tutorials/weight-initialization/helper.py | 153 | 3649 | import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
def hist_dist(title, distribution_tensor, hist_range=(-4, 4)):
"""
Display histogram of a TF distribution
"""
with tf.Session() as sess:
values = sess.run(distribution_tensor)
plt.title(title)
plt.hist(values, ... | mit |
cjayb/mne-python | mne/viz/tests/test_topo.py | 2 | 11648 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Denis Engemann <denis.engemann@gmail.com>
# Martin Luessi <mluessi@nmr.mgh.harvard.edu>
# Eric Larson <larson.eric.d@gmail.com>
# Robert Luke <mail@robertluke.net>
#
# License: Simplified BSD
import os.path as op
from col... | bsd-3-clause |
kagayakidan/scikit-learn | sklearn/preprocessing/data.py | 68 | 57385 | # 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>
# Eric Martin <eric@ericmart.in>
# License: BSD 3 clause
from itertools import chain, combina... | bsd-3-clause |
ChanChiChoi/scikit-learn | sklearn/metrics/tests/test_ranking.py | 75 | 40883 | from __future__ import division, print_function
import numpy as np
from itertools import product
import warnings
from scipy.sparse import csr_matrix
from sklearn import datasets
from sklearn import svm
from sklearn import ensemble
from sklearn.datasets import make_multilabel_classification
from sklearn.random_projec... | bsd-3-clause |
zackriegman/pydnn | docs/conf.py | 1 | 12621 | # -*- coding: utf-8 -*-
#
# pydnn documentation build configuration file, created by
# sphinx-quickstart on Tue Mar 24 09:05:39 2015.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All... | mit |
robbymeals/scikit-learn | sklearn/utils/tests/test_extmath.py | 130 | 16270 | # Authors: Olivier Grisel <olivier.grisel@ensta.org>
# Mathieu Blondel <mathieu@mblondel.org>
# Denis Engemann <d.engemann@fz-juelich.de>
#
# License: BSD 3 clause
import numpy as np
from scipy import sparse
from scipy import linalg
from scipy import stats
from sklearn.utils.testing import assert_eq... | bsd-3-clause |
jbedorf/tensorflow | tensorflow/contrib/timeseries/examples/predict.py | 24 | 5843 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | apache-2.0 |
andyraib/data-storage | python_scripts/env/lib/python3.6/site-packages/matplotlib/tests/test_lines.py | 5 | 5451 | """
Tests specific to the lines module.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import itertools
import matplotlib.lines as mlines
import nose
from nose.tools import assert_true, assert_raises
from timeit import repeat
import numpy as ... | apache-2.0 |
ch3ll0v3k/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 |
JosmanPS/scikit-learn | examples/decomposition/plot_pca_3d.py | 354 | 2432 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Principal components analysis (PCA)
=========================================================
These figures aid in illustrating how a point cloud
can be very flat in one direction--which is where PCA
comes in to ch... | bsd-3-clause |
okadate/romspy | romspy/tplot/tplot_wind.py | 1 | 3991 | # coding: utf-8
# (c) 2015-11-28 Teruhisa Okada
import matplotlib.pyplot as plt
from matplotlib.dates import DateFormatter
import netCDF4
import numpy as np
import pandas as pd
import romspy
def stick_plot_default(time, u, v, **kw):
from matplotlib.dates import date2num
#width = kw.pop('width', ... | mit |
rajegannathan/grasp-lift-eeg-cat-dog-solution-updated | python-packages/nolearn-0.5/nolearn/decaf.py | 11 | 6033 | import os
import sys
from nolearn import cache
import numpy as np
from sklearn.base import BaseEstimator
def _transform_cache_key(self, X):
if len(X) == 1:
raise cache.DontCache
return ','.join([
str(X),
str(len(X)),
str(sorted(self.get_params().items())),
])
class C... | bsd-3-clause |
yw374cornell/e-mission-server | bin/regenerate_data.py | 2 | 2686 | # Regenerate score and footprint information for a set of users. In the
# production system, we only calculate the score for users who were part of the
# "game" group and the footprint for users who were part of the "data" group.
# When we want to analyse their engagement, though, we want to compare data
# across all g... | bsd-3-clause |
Monika319/EWEF-1 | Cw2Rezonans/Karolina/Oscyloskop/OscyloskopZ5W3.py | 1 | 1316 | # -*- coding: utf-8 -*-
"""
Plot oscilloscope files from MultiSim
"""
import numpy as np
import matplotlib.pyplot as plt
import sys
import os
from matplotlib import rc
rc('font',family="Consolas")
files=["real_zad5_033f.txt"]
for NazwaPliku in files:
print NazwaPliku
Plik=open(NazwaPliku)
#print DeltaT
... | gpl-2.0 |
stylianos-kampakis/scikit-learn | examples/linear_model/plot_sparse_recovery.py | 243 | 7461 | """
============================================================
Sparse recovery: feature selection for sparse linear models
============================================================
Given a small number of observations, we want to recover which features
of X are relevant to explain y. For this :ref:`sparse linear ... | bsd-3-clause |
rhyswhitley/savanna_iav | src/figures/trends/rainfall_compare.py | 1 | 4100 | #!/usr/bin/env python2
import os
import numpy as np
import pandas as pd
import netCDF4 as nc
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import matplotlib.dates as mdates
from scipy import stats
def fit_trend(x, y):
z = np.polyfit(x, y, 1)
p = np.poly1d(z)
... | cc0-1.0 |
cbertinato/pandas | pandas/tests/frame/test_reshape.py | 1 | 39296 | from datetime import datetime
import itertools
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame, Index, MultiIndex, Period, Series, Timedelta, date_range)
from pandas.tests.frame.common import TestData
import pandas.util.testing as tm
from pandas.util.testing import assert_frame... | bsd-3-clause |
vermouthmjl/scikit-learn | sklearn/linear_model/tests/test_sparse_coordinate_descent.py | 34 | 9987 | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_less
from sklearn.utils.testing import assert_true
from sklearn.utils.t... | bsd-3-clause |
kmike/scikit-learn | sklearn/feature_selection/rfe.py | 4 | 14193 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Vincent Michel <vincent.michel@inria.fr>
# Gilles Louppe <g.louppe@gmail.com>
#
# License: BSD Style.
"""Recursive feature elimination for feature ranking"""
import numpy as np
from ..utils import check_arrays, safe_sqr, safe_mask
from ..... | bsd-3-clause |
fegonda/icon_demo | code/model/unet/old/unet_multiChannel.py | 1 | 15594 | # yet another version of the IDSIA network
# based on code from keras tutorial
# http://keras.io/getting-started/sequential-model-guide/
from keras.models import Model, Sequential, model_from_json
from keras.layers import Dense, Activation, Flatten, Input
from keras.layers import Convolution2D, MaxPooling2D, UpSamplin... | mit |
krzjoa/sciquence | sciquence/shapelets/shapelet_classifier.py | 1 | 1335 | # -*- coding: utf-8 -*-
# Krzysztof Joachimiak 2017
# sciquence: Time series & sequences in Pythonn
#
# Shapelet processor
# Author: Krzysztof Joachimiak
#
# License: MIT
from shapelet_utils import all_candidates
from sklearn.preprocessing import scale
from sklearn.base import BaseEstimator
class ShapeletClassifier(... | mit |
ryi06/inferelator_ng | inferelator_ng/tests/test_results_processor.py | 3 | 11794 | import unittest
from .. import results_processor
import pandas as pd
import numpy as np
class TestResultsProcessor(unittest.TestCase):
def test_combining_confidences_one_beta(self):
# rescaled betas are only in the
beta = pd.DataFrame(np.array([[0.5, 0], [0.5, 1]]), ['gene1', 'gene2'], ['tf1','tf... | bsd-2-clause |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.