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 |
|---|---|---|---|---|---|
itdxer/neupy | tests/algorithms/memory/test_cmac.py | 1 | 2806 | import numpy as np
from sklearn import metrics
from neupy import algorithms
from base import BaseTestCase
class CMACTestCase(BaseTestCase):
def test_cmac(self):
X_train = np.reshape(np.linspace(0, 2 * np.pi, 100), (100, 1))
X_train_before = X_train.copy()
X_test = np.reshape(np.linspace(... | mit |
macks22/scikit-learn | sklearn/utils/fixes.py | 133 | 12882 | """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 |
heli522/scikit-learn | sklearn/decomposition/tests/test_truncated_svd.py | 240 | 6055 | """Test truncated SVD transformer."""
import numpy as np
import scipy.sparse as sp
from sklearn.decomposition import TruncatedSVD
from sklearn.utils import check_random_state
from sklearn.utils.testing import (assert_array_almost_equal, assert_equal,
assert_raises, assert_greater,
... | bsd-3-clause |
yl565/statsmodels | statsmodels/base/wrapper.py | 6 | 4402 | import inspect
import functools
import numpy as np
from statsmodels.compat.python import get_function_name, iteritems, getargspec
class ResultsWrapper(object):
"""
Class which wraps a statsmodels estimation Results class and steps in to
reattach metadata to results (if available)
"""
_wrap_attrs =... | bsd-3-clause |
tttor/csipb-jamu-prj | predictor/connectivity/classifier/kronrls/devel_parallel.py | 1 | 2602 | # devel.py
import sys
import time
import numpy as np
import matplotlib.pyplot as plt
from kronrls import KronRLS
from sklearn.cross_validation import KFold
from sklearn.cross_validation import StratifiedKFold
from sklearn.metrics import precision_recall_curve
from sklearn.metrics import average_precision_score
from sco... | mit |
zasdfgbnm/tensorflow | tensorflow/contrib/distributions/python/ops/mixture.py | 8 | 20696 | # 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 |
gfyoung/pandas | pandas/tests/arithmetic/test_timedelta64.py | 2 | 79397 | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
from datetime import datetime, timedelta
import numpy as np
import pytest
from pandas.errors import OutOfBoundsDatetime, PerformanceWarning
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
NaT,... | bsd-3-clause |
saketkc/statsmodels | statsmodels/datasets/fertility/data.py | 26 | 2511 | #! /usr/bin/env python
"""World Bank Fertility Data."""
__docformat__ = 'restructuredtext'
COPYRIGHT = """This data is distributed according to the World Bank terms of use. See SOURCE."""
TITLE = """World Bank Fertility Data"""
SOURCE = """
This data has been acquired from
The World Bank: Fertility rat... | bsd-3-clause |
zkbt/skyofstars | skyofstars/catalog.py | 1 | 3327 | import matplotlib.pyplot as plt
import numpy as np
import astropy.coordinates as coord
import astropy.units as u
class Catalog:
'''
This defines a Catalog object, which can be plotted or written
out into a variety of formats.
'''
def __init__(self, coordinates, name="skyofstars", apparentmagnitud... | mit |
zaxliu/learning-spark | src/python/IntersectByKey.py | 42 | 1280 | """
>>> from pyspark.context import SparkContext
>>> sc = SparkContext('local', 'test')
>>> input = [("coffee", 1), ("pandas", 2), ("coffee", 3), ("very", 4)]
>>> rdd1 = sc.parallelize(input)
>>> rdd2 = sc.parallelize([("pandas", 20)])
>>> intserectByKey(rdd1, rdd2).collect()
[('pandas', 2), ('pandas', 20)]
"""
import... | mit |
JVillella/tensorflow | tensorflow/tools/dist_test/python/census_widendeep.py | 42 | 11900 | # 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 |
rajat1994/scikit-learn | examples/svm/plot_svm_anova.py | 250 | 2000 | """
=================================================
SVM-Anova: SVM with univariate feature selection
=================================================
This example shows how to perform univariate feature before running a SVC
(support vector classifier) to improve the classification scores.
"""
print(__doc__)
import... | bsd-3-clause |
yungyuc/solvcon | sandbox/gas/tube/compare-fixed-location.py | 2 | 5563 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
#
# Copyright (c) 2017, Taihsiang Ho <tai271828@gmail.com>
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# - Redistributions of source code must... | bsd-3-clause |
liyu1990/sklearn | examples/applications/plot_stock_market.py | 227 | 8284 | """
=======================================
Visualizing the stock market structure
=======================================
This example employs several unsupervised learning techniques to extract
the stock market structure from variations in historical quotes.
The quantity that we use is the daily variation in quote ... | bsd-3-clause |
pism/pism | examples/std-greenland/hydro/showPvsW.py | 1 | 6200 | #!/usr/bin/env python3
import numpy as np
import matplotlib.pyplot as plt
import sys
import argparse
try:
from netCDF4 import Dataset as NC
except:
print("netCDF4 is not installed!")
sys.exit(1)
parser = argparse.ArgumentParser(description='show scatter plot P versus W from a PISM run')
parser.add_argu... | gpl-3.0 |
louispotok/pandas | pandas/tests/series/indexing/test_alter_index.py | 1 | 16335 | # coding=utf-8
# pylint: disable-msg=E1101,W0612
import pytest
from datetime import datetime
import pandas as pd
import numpy as np
from numpy import nan
from pandas import compat
from pandas import (Series, date_range, isna, Categorical)
from pandas.compat import lrange, range
from pandas.util.testing import (a... | bsd-3-clause |
ndiamant/arboreum | fast_arboreum/arboreum.py | 1 | 4965 | from collections import namedtuple
from scipy.misc import imsave
import numpy as np
import random
import matplotlib.pyplot as plt
import gif_writer
import greenhouse
ITERS = 100
WIDTH = 201
HEIGHT = 100
NUM_PLANTS = 50
IGNORE_LEAVES = False
SAVE_BOARD = True
board = np.zeros((HEIGHT, WIDTH), dtype=np.int16)
# only re... | mit |
GuessWhoSamFoo/pandas | pandas/tests/frame/test_sorting.py | 1 | 25891 | # -*- coding: utf-8 -*-
from __future__ import print_function
import random
import numpy as np
import pytest
from pandas.compat import lrange
import pandas as pd
from pandas import (
Categorical, DataFrame, IntervalIndex, MultiIndex, NaT, Series, Timestamp,
date_range)
from pandas.api.types import Categori... | bsd-3-clause |
abelcarreras/cubesym | cubesymapi/__init__.py | 1 | 24437 | from scipy.interpolate import RegularGridInterpolator
from scipy import interpolate, optimize, integrate
#import multiprocessing as mp
import matplotlib.pyplot as plt
import numpy as np
import cubesymapi.iofile
import cubesymapi.rotations
def z_slides(x, y, z, function):
return function([x, y, z])
def z_slides_... | mit |
keit0222/force-plate-analizer | openForce/synchronize.py | 1 | 5289 |
# coding : utf-8
import force_analyzer as fa
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from coordinate_transform import *
# visualize
from mpl_toolkits.mplot3d import Axes3D
# check whether file exist or not
import os
import glob
# serialize and de-serialize l... | mit |
b-cuts/airflow | airflow/www/app.py | 2 | 69417 | from __future__ import print_function
from __future__ import division
from builtins import str
from past.utils import old_div
import copy
from datetime import datetime, timedelta
import dateutil.parser
from functools import wraps
import inspect
import json
import logging
import os
import socket
import sys
import time
... | apache-2.0 |
saketkc/statsmodels | examples/python/regression_diagnostics.py | 28 | 2876 |
## Regression diagnostics
# This example file shows how to use a few of the ``statsmodels`` regression diagnostic tests in a real-life context. You can learn about more tests and find out more information abou the tests here on the [Regression Diagnostics page.](http://statsmodels.sourceforge.net/stable/diagnostic.ht... | bsd-3-clause |
haphaeu/yoshimi | fall_factor.py | 1 | 3916 | # -*- coding: utf-8 -*-
"""
Fall Factor
Impact loads on rock climbing gear.
Force = sqrt(2 * m * g * EA * h/Lo)
where:
m: mass of the falling object
g: gravity
EA: stiffness of the rope/sling
h: height of the fall
Lo: length of rope/sling absorbing the impact load
Note that a fall factor can b... | lgpl-3.0 |
samuel1208/scikit-learn | examples/semi_supervised/plot_label_propagation_digits_active_learning.py | 294 | 3417 | """
========================================
Label Propagation digits active learning
========================================
Demonstrates an active learning technique to learn handwritten digits
using label propagation.
We start by training a label propagation model with only 10 labeled points,
then we select the t... | bsd-3-clause |
Ninad998/FinalYearProject | PythonScripts/DatabaseQuery.py | 3 | 4825 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import print_function
import nltk.tokenize
import psycopg2
import pandas as pd
import sys, re
def clean_str(string):
"""
Tokenization/string cleaning for all datasets
Every dataset is lower cased
Original taken from https://github.com/yoonkim/CN... | mit |
SepehrMN/nest-simulator | pynest/examples/hh_psc_alpha.py | 7 | 2134 | # -*- coding: utf-8 -*-
#
# hh_psc_alpha.py
#
# This file is part of NEST.
#
# Copyright (C) 2004 The NEST Initiative
#
# NEST is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, o... | gpl-2.0 |
annahs/atmos_research | WHI_long_term_v2_GC_V10_vs_alt_by_cluster.py | 1 | 8922 | import matplotlib.pyplot as plt
import numpy as np
from matplotlib import dates
import os
import pickle
from datetime import datetime
from pprint import pprint
import sys
from datetime import timedelta
import calendar
import mysql.connector
from pyhdf.SD import SD, SDC, SDS
#fire times
timezone = timedelta(hours = -... | mit |
wreckJ/intellij-community | python/helpers/pydev/pydevd.py | 9 | 99805 | #IMPORTANT: pydevd_constants must be the 1st thing defined because it'll keep a reference to the original sys._getframe
from __future__ import nested_scopes # Jython 2.1 support
import pydev_monkey_qt
from pydevd_utils import save_main_module
import pydevd_utils
pydev_monkey_qt.patch_qt()
import traceback
from pyde... | apache-2.0 |
istellartech/OpenGoddard | examples/05_Goddard_1knot.py | 1 | 6584 | # -*- coding: utf-8 -*-
# Copyright 2017 Interstellar Technologies Inc. All Rights Reserved.
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
from OpenGoddard.optimize import Problem, Guess, Condition, Dynamics
class Rocket:
g0 = 1.0 # Gravity at surface [-]
def __in... | mit |
ratschlab/ASP | examples/undocumented/python_modular/graphical/interactive_clustering_demo.py | 1 | 11542 | """
Shogun demo, based on PyQT Demo by Eli Bendersky
Christian Widmer
Soeren Sonnenburg
License: GPLv3
"""
import numpy
import sys, os, csv
from PyQt4.QtCore import *
from PyQt4.QtGui import *
import matplotlib
from matplotlib import mpl
from matplotlib.colorbar import make_axes, Colorbar
from matplotlib.backends.bac... | gpl-2.0 |
ilyes14/scikit-learn | sklearn/manifold/t_sne.py | 52 | 34602 | # 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 |
mmadsen/axelrod-ct | madsenlab/axelrod/population/base_population_classes.py | 1 | 8925 | #!/usr/bin/env python
# Copyright (c) 2013. Mark E. Madsen <mark@madsenlab.org>
#
# This work is licensed under the terms of the Apache Software License, Version 2.0. See the file LICENSE for details.
"""
Description here
"""
import logging as log
import networkx as nx
import madsenlab.axelrod.utils.configuration
... | apache-2.0 |
dhimmel/networkx | examples/drawing/labels_and_colors.py | 44 | 1330 | #!/usr/bin/env python
"""
Draw a graph with matplotlib, color by degree.
You must have matplotlib for this to work.
"""
__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
import matplotlib.pyplot as plt
import networkx as nx
G=nx.cubical_graph()
pos=nx.spring_layout(G) # positions for all nodes
# nodes
nx.draw... | bsd-3-clause |
qifeigit/scikit-learn | examples/model_selection/plot_confusion_matrix.py | 244 | 2496 | """
================
Confusion matrix
================
Example of confusion matrix usage to evaluate the quality
of the output of a classifier on the iris data set. The
diagonal elements represent the number of points for which
the predicted label is equal to the true label, while
off-diagonal elements are those that ... | bsd-3-clause |
choldgraf/ecogtools | ecogtools/viz.py | 1 | 14763 | """Convenience functions for plotting."""
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.transforms import Affine2D
import mpl_toolkits.axisartist.floating_axes as floating_axes
from matplotlib.collections import PathCollection
from matplotlib.patches import Rectangle
from matplotlib.colors import... | bsd-2-clause |
gfyoung/pandas | pandas/core/internals/managers.py | 1 | 62193 | from __future__ import annotations
from collections import defaultdict
import itertools
from typing import (
Any,
Callable,
DefaultDict,
Dict,
Hashable,
List,
Optional,
Sequence,
Tuple,
TypeVar,
Union,
)
import warnings
import numpy as np
from pandas._libs import internals... | bsd-3-clause |
466152112/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 |
xubenben/scikit-learn | sklearn/covariance/__init__.py | 389 | 1157 | """
The :mod:`sklearn.covariance` module includes methods and algorithms to
robustly estimate the covariance of features given a set of points. The
precision matrix defined as the inverse of the covariance is also estimated.
Covariance estimation is closely related to the theory of Gaussian Graphical
Models.
"""
from ... | bsd-3-clause |
ville-k/tensorflow | tensorflow/contrib/learn/python/learn/learn_io/data_feeder_test.py | 71 | 12923 | # 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 |
bearishtrader/trading-with-python | cookbook/workingWithDatesAndTime.py | 77 | 1551 | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 16 17:45:02 2011
@author: jev
"""
import time
import datetime as dt
from pandas import *
from pandas.core import datetools
# basic functions
print 'Epoch start: %s' % time.asctime(time.gmtime(0))
print 'Seconds from epoch: %.2f' % time.time()
t... | bsd-3-clause |
anthonycorbacho/incubator-zeppelin | python/src/main/resources/grpc/python/ipython_client.py | 27 | 1457 | # 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 use ... | apache-2.0 |
wanggang3333/scikit-learn | examples/svm/plot_weighted_samples.py | 188 | 1943 | """
=====================
SVM: Weighted samples
=====================
Plot decision function of a weighted dataset, where the size of points
is proportional to its weight.
The sample weighting rescales the C parameter, which means that the classifier
puts more emphasis on getting these points right. The effect might ... | bsd-3-clause |
artmusic0/theano-learning.part03 | Layer_Changes/LayerChange_release_v2/cnn.py | 1 | 8987 | import os
import sys, getopt
import time
import numpy
import theano
import cPickle
import theano.tensor as T
from sklearn import preprocessing
from logistic_sgd import LogisticRegression
from theano.tensor.signal import downsample
from theano.tensor.nnet import conv
def ReLU(x):
y = T.maximum(0.0, x)
return (y... | gpl-3.0 |
lbishal/scikit-learn | examples/gaussian_process/plot_gpr_prior_posterior.py | 104 | 2878 | """
==========================================================================
Illustration of prior and posterior Gaussian process for different kernels
==========================================================================
This example illustrates the prior and posterior of a GPR with different
kernels. Mean, st... | bsd-3-clause |
ChanderG/scikit-learn | examples/model_selection/grid_search_text_feature_extraction.py | 253 | 4158 | """
==========================================================
Sample pipeline for text feature extraction and evaluation
==========================================================
The dataset used in this example is the 20 newsgroups dataset which will be
automatically downloaded and then cached and reused for the do... | bsd-3-clause |
Eric89GXL/mne-python | mne/time_frequency/tests/test_tfr.py | 2 | 32209 | from itertools import product
import datetime
import os.path as op
import numpy as np
from numpy.testing import (assert_array_equal, assert_equal, assert_allclose)
import pytest
import matplotlib.pyplot as plt
import mne
from mne import (Epochs, read_events, pick_types, create_info, EpochsArray,
Info... | bsd-3-clause |
ds283/splinter | python/examples/bspline_multivariate.py | 2 | 2557 | # This file is part of the SPLINTER library.
# Copyright (C) 2012 Bjarne Grimstad (bjarne.grimstad@gmail.com).
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
# Add t... | mpl-2.0 |
Weihonghao/ECM | Vpy34/lib/python3.5/site-packages/numpy/lib/twodim_base.py | 34 | 25580 | """ Basic functions for manipulating 2d arrays
"""
from __future__ import division, absolute_import, print_function
from numpy.core.numeric import (
absolute, asanyarray, arange, zeros, greater_equal, multiply, ones,
asarray, where, int8, int16, int32, int64, empty, promote_types, diagonal,
)
from numpy.c... | agpl-3.0 |
cython-testbed/pandas | pandas/tests/arithmetic/conftest.py | 2 | 5332 | # -*- coding: utf-8 -*-
import pytest
import numpy as np
import pandas as pd
from pandas.compat import long
@pytest.fixture(params=[1, np.array(1, dtype=np.int64)])
def one(request):
# zero-dim integer array behaves like an integer
return request.param
zeros = [box_cls([0] * 5, dtype=dtype)
for b... | bsd-3-clause |
pv/scikit-learn | examples/decomposition/plot_sparse_coding.py | 247 | 3846 | """
===========================================
Sparse coding with a precomputed dictionary
===========================================
Transform a signal as a sparse combination of Ricker wavelets. This example
visually compares different sparse coding methods using the
:class:`sklearn.decomposition.SparseCoder` esti... | bsd-3-clause |
RPGOne/scikit-learn | sklearn/cluster/tests/test_mean_shift.py | 48 | 3653 | """
Testing for mean shift clustering methods
"""
import numpy as np
import warnings
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import asser... | bsd-3-clause |
GeographicaGS/daynight2geojson | daynight2geojson/daynight2geojson.py | 2 | 3599 | # -*- coding: utf-8 -*-
#
# Author: Cayetano Benavent, 2015.
# https://github.com/GeographicaGS/daynight2geojson
#
# 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 2 of the ... | gpl-2.0 |
johnmgregoire/PythonCompositionPlots | quaternary_ternary_faces_demo3.py | 1 | 3340 | import matplotlib.cm as cm
import numpy, sys
import pylab
import operator, copy, os
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from quaternary_ternary_faces import ternaryfaces
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
try:
from matplotlib.backends.backend_qt4agg imp... | bsd-3-clause |
Erotemic/vtool | vtool_ibeis/clustering2.py | 1 | 30955 | # -*- coding: utf-8 -*-
# LICENCE
"""
TODO:
Does HDBSCAN work on 128 dim vectors?
http://nbviewer.jupyter.org/github/lmcinnes/hdbscan/blob/master/notebooks/Comparing%20Clustering%20Algorithms.ipynb
"""
from __future__ import absolute_import, division, print_function, unicode_literals
from six.moves import zip, ... | apache-2.0 |
stggh/PyAbel | examples/example_hansenlaw.py | 2 | 3117 | # -*- coding: utf-8 -*-
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import abel
import matplotlib.pylab as plt
import bz2
# Hansen and Law inverse Abel transform of velocity-map imaged electrons
# from O2- photodetachement at 454 nm.... | mit |
haudren/scipy | scipy/signal/fir_filter_design.py | 23 | 28336 | # -*- coding: utf-8 -*-
"""Functions for FIR filter design."""
from __future__ import division, print_function, absolute_import
from math import ceil, log
import numpy as np
from numpy.fft import irfft
from scipy.special import sinc
from scipy.linalg import toeplitz, hankel, pinv
from . import sigtools
__all__ = ['ka... | bsd-3-clause |
wanggang3333/scikit-learn | sklearn/metrics/regression.py | 175 | 16953 | """Metrics to assess performance on regression task
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Ma... | bsd-3-clause |
ohinai/pas | pas/buckley_leverett.py | 1 | 11928 | """ Module for solving and visualizing the Buckley-Leverett solution
for two-phase flow problems.
"""
import numpy as np
from scipy import interpolate
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
class BuckleyLeverett():
""" Solves the two-phase flow problem using the Buckley-Leverett
... | bsd-3-clause |
nsalomonis/AltAnalyze | stats_scripts/mpmath/visualization.py | 6 | 9486 | """
Plotting (requires matplotlib)
"""
from colorsys import hsv_to_rgb, hls_to_rgb
from .libmp import NoConvergence
from .libmp.backend import xrange
class VisualizationMethods(object):
plot_ignore = (ValueError, ArithmeticError, ZeroDivisionError, NoConvergence)
def plot(ctx, f, xlim=[-5,5], ylim=Non... | apache-2.0 |
bgris/ODL_bgris | lib/python3.5/site-packages/matplotlib/projections/__init__.py | 21 | 3371 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from .geo import AitoffAxes, HammerAxes, LambertAxes, MollweideAxes
from .polar import PolarAxes
from matplotlib import axes
class ProjectionRegistry(object):
"""
Manages the set of project... | gpl-3.0 |
RachitKansal/scikit-learn | sklearn/preprocessing/tests/test_function_transformer.py | 176 | 2169 | from nose.tools import assert_equal
import numpy as np
from sklearn.preprocessing import FunctionTransformer
def _make_func(args_store, kwargs_store, func=lambda X, *a, **k: X):
def _func(X, *args, **kwargs):
args_store.append(X)
args_store.extend(args)
kwargs_store.update(kwargs)
... | bsd-3-clause |
jlerman44/pyms | Display/Function.py | 7 | 3652 | """Display.Function.py
"""
#############################################################################
# #
# PyMS software for processing of metabolomic mass-spectrometry data #
# Copyright (C) 2005-2012 Vladimir Likic ... | gpl-2.0 |
ottogroup/dstoolbox | dstoolbox/visualization.py | 1 | 2837 | """Helper functions for creating visualizations.
Note:
* The helper functions contain additional dependencies not covered by
dstoolbox.
* They are not covered by tests and thus should only be used for
convenience but not for production purposes.
"""
import io
from sklearn.utils import murmurhash3_32
from dstoolbo... | apache-2.0 |
keflavich/scikit-image | skimage/viewer/utils/core.py | 18 | 6556 | import warnings
import numpy as np
from ..qt import QtWidgets, has_qt, FigureManagerQT, FigureCanvasQTAgg
import matplotlib as mpl
from matplotlib.figure import Figure
from matplotlib import _pylab_helpers
from matplotlib.colors import LinearSegmentedColormap
if has_qt and 'agg' not in mpl.get_backend().lower():
... | bsd-3-clause |
prudhvid/github-recommendations | test/samplenetworkx.py | 1 | 1813 | __author__ = 'prudhvi'
import MySQLdb as mdb
import networkx as nx
import matplotlib.pyplot as plt
db = mdb.connect('localhost', 'root', 'pass', 'github');
cursor = db.cursor()
cursor.execute("Select * from org_mem group by user_id")
rows=cursor.fetchall()
cursor.execute("Select * from org_mem group by org_id"... | gpl-2.0 |
NelisVerhoef/scikit-learn | sklearn/metrics/regression.py | 175 | 16953 | """Metrics to assess performance on regression task
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Ma... | bsd-3-clause |
maheshakya/scikit-learn | examples/cluster/plot_cluster_iris.py | 350 | 2593 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
K-means Clustering
=========================================================
The plots display firstly what a K-means algorithm would yield
using three clusters. It is then shown what the effect of a bad
initializa... | bsd-3-clause |
demis001/scikit-bio | setup.py | 3 | 4795 | #!/usr/bin/env python
# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# ---------------------... | bsd-3-clause |
socialsensor/public-figure-image-ranking | python/staticCommEventTask.py | 1 | 35270 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#-------------------------------------------------------------------------------
# Name:
# Purpose: This .py file is the class file that does all the work
# It ranks images in specific events
#
# Required libs: python-dateutil, numpy,matplotlib,pyparsi... | apache-2.0 |
yanlend/scikit-learn | sklearn/ensemble/tests/test_forest.py | 4 | 39342 | """
Testing for the forest module (sklearn.ensemble.forest).
"""
# Authors: Gilles Louppe,
# Brian Holt,
# Andreas Mueller,
# Arnaud Joly
# License: BSD 3 clause
import pickle
from collections import defaultdict
from itertools import combinations
from itertools import product
import numpy ... | bsd-3-clause |
Raziel90/strands_qsr_lib | qsr_lib/dbg/dbg_template_bounding_boxes_qsrs.py | 8 | 2711 | #!/usr/bin/python
# import numpy as np
from matplotlib import pyplot as plt
from matplotlib.patches import Rectangle
class Dbg(object):
def __init__(self):
pass
def return_bounding_box_2d(self, x, y, xsize, ysize):
"""Return the bounding box
:param x: x center
:param y: y cen... | mit |
jseabold/statsmodels | statsmodels/emplike/descriptive.py | 5 | 38955 | """
Empirical likelihood inference on descriptive statistics
This module conducts hypothesis tests and constructs confidence
intervals for the mean, variance, skewness, kurtosis and correlation.
If matplotlib is installed, this module can also generate multivariate
confidence region plots as well as mean-variance con... | bsd-3-clause |
Garrett-R/scikit-learn | benchmarks/bench_random_projections.py | 397 | 8900 | """
===========================
Random projection benchmark
===========================
Benchmarks for random projections.
"""
from __future__ import division
from __future__ import print_function
import gc
import sys
import optparse
from datetime import datetime
import collections
import numpy as np
import scipy.s... | bsd-3-clause |
joernhees/scikit-learn | sklearn/decomposition/__init__.py | 66 | 1433 | """
The :mod:`sklearn.decomposition` module includes matrix decomposition
algorithms, including among others PCA, NMF or ICA. Most of the algorithms of
this module can be regarded as dimensionality reduction techniques.
"""
from .nmf import NMF, non_negative_factorization
from .pca import PCA, RandomizedPCA
from .incr... | bsd-3-clause |
pysmo/aimbat | tests/plotutils_tests.py | 1 | 1793 | import unittest
import sys, os, matplotlib
import matplotlib.pyplot as py
from pysmo.aimbat.plotutils import TimeSelector
from pysmo.aimbat.qualctrl import getOptions, getDataOpts, sortSeis, getAxes, PickPhaseMenuMore
from pysmo.aimbat.pickphase import PickPhaseMenu, PickPhase
test_filename = '20120109.04071467.bhz.pk... | gpl-3.0 |
udaypandit/black_scholes | Lessons.and.Assignments/Blasius.Shooting.Method/final-project-carr.py | 2 | 1812 | # Final Project - Ian Carr
# Blasius solution - introduction to fluids
import numpy as np
import matplotlib.pyplot as plt
# building initial parameters
nfinal = 8. # final value of n
dn = 0.01 # step size
N = int(nfinal/dn) #
n = np.linspace(0.0,nfinal,N)
f = np.zeros(N)
f1 = np.zeros(N)
f2 = np.zeros(N)
# expl... | mit |
sumspr/scikit-learn | examples/cluster/plot_kmeans_silhouette_analysis.py | 242 | 5885 | """
===============================================================================
Selecting the number of clusters with silhouette analysis on KMeans clustering
===============================================================================
Silhouette analysis can be used to study the separation distance between the... | bsd-3-clause |
alexis-roche/nipy | examples/algorithms/gaussian_mixture_models.py | 4 | 1220 | #!/usr/bin/env python
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
from __future__ import print_function # Python 2/3 compatibility
__doc__ = """
Example of a demo that fits a Gaussian Mixture Model (GMM) to a dataset The
possible number of clusters ... | bsd-3-clause |
ngoix/OCRF | sklearn/neighbors/regression.py | 7 | 10997 | """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
# Multi-output support by Arnaud Joly <a.joly@ulg.ac... | bsd-3-clause |
dalejung/ts-charting | ts_charting/test/test_formatter.py | 1 | 5625 | from unittest import TestCase
import numpy as np
import pandas as pd
import pandas.util.testing as tm
import ts_charting.formatter as formatter
plot_index = pd.date_range(start="2000-1-1", freq="B", periods=10000)
class TestTimestampLocator(TestCase):
def __init__(self, *args, **kwargs):
TestCase.__init... | mit |
rcbrgs/tuna | setup.py | 1 | 4582 | # -*- coding: utf-8 -*-
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os impor... | gpl-3.0 |
jamserve/epynet | src/readAndPlot_chbmit_v02.py | 1 | 12159 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 24 20:40:52 2016
Remember to open from terminal in Python 2.7
brew install wget
wget -r -np -c -N -k http://www.physionet.org/pn6/chbmit/
%reset
matlab array -> python numpy array
matlab cell array -> python list
matlab structure -> python dict
@author: heslote1
"... | mit |
ngoix/OCRF | sklearn/tests/test_cross_validation.py | 24 | 47465 | """Test the cross_validation module"""
from __future__ import division
import warnings
import numpy as np
from scipy.sparse import coo_matrix
from scipy.sparse import csr_matrix
from scipy import stats
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.test... | bsd-3-clause |
lancezlin/ml_template_py | lib/python2.7/site-packages/mpl_toolkits/tests/test_axes_grid.py | 7 | 1600 |
from matplotlib.testing.decorators import image_comparison
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np
import matplotlib.pyplot as plt
@image_comparison(baseline_images=['imagegrid_cbar_mode'],
extensions=['png'],
remove_text=True)
def test_imagegrid_cbar_mode... | mit |
simonvh/fluff | fluff/plot.py | 1 | 26630 | import os
import re
import sys
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.font_manager import FontProperties
from matplotlib.offsetbox import HPacker, TextArea, AnnotationBbox
from matplotlib.patches import FancyArrowPatch, ArrowStyle, Polygon
from matplot... | mit |
marionleborgne/nupic.research | htmresearch/support/text_preprocess.py | 9 | 12501 | # ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2015, Numenta, Inc. Unless you have purchased from
# Numenta, Inc. a separate commercial license for this software code, the
# following terms and conditions apply:
#
# This pro... | agpl-3.0 |
bemcdonnell/SWMMOutputAPI | testing/QuickWrapperTesting_LargeFile.py | 1 | 2089 | import sys
sys.path.append('..')
from datetime import datetime, timedelta
from SWMMOutputReader import *
import matplotlib.pyplot as plt
OutputCollections = SwmmOutputObjects('../data/outputAPI_winx86.dll')
OUTFILES = ['C:\\PROJECTCODE\\SWMMOutputAPI\\testing\\OutputTestModel_LargeOutput.out']#,\
## 'C:\\P... | bsd-2-clause |
jaidevd/scikit-learn | examples/plot_isotonic_regression.py | 55 | 1767 | """
===================
Isotonic Regression
===================
An illustration of the isotonic regression on generated data. The
isotonic regression finds a non-decreasing approximation of a function
while minimizing the mean squared error on the training data. The benefit
of such a model is that it does not assume a... | bsd-3-clause |
lzamparo/crisprML | src/specificity_score_distance_neighbors.py | 1 | 16743 | __author__ = 'Alexendar Perez'
#####################
# #
# Introduction #
# #
#####################
"""compute specificity score, Hamming, and Levinstein distance neighborhoods for strings"""
#################
# #
# Libraries #
# #
############... | bsd-3-clause |
imaculate/scikit-learn | examples/linear_model/plot_multi_task_lasso_support.py | 102 | 2319 | #!/usr/bin/env python
"""
=============================================
Joint feature selection with multi-task Lasso
=============================================
The multi-task lasso allows to fit multiple regression problems
jointly enforcing the selected features to be the same across
tasks. This example simulates... | bsd-3-clause |
Fireblend/scikit-learn | sklearn/utils/tests/test_sparsefuncs.py | 157 | 13799 | import numpy as np
import scipy.sparse as sp
from scipy import linalg
from numpy.testing import assert_array_almost_equal, assert_array_equal
from sklearn.datasets import make_classification
from sklearn.utils.sparsefuncs import (mean_variance_axis,
inplace_column_scale,
... | bsd-3-clause |
MaxPoint/cyavro | cyavro/__init__.py | 1 | 17429 | # Copyright (c) 2015 MaxPoint Interactive, Inc.
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this list of conditi... | bsd-3-clause |
maxalbert/geopandas | tests/test_tools.py | 8 | 1589 | from __future__ import absolute_import
from shapely.geometry import Point, MultiPoint, LineString
from geopandas import GeoSeries
from geopandas.tools import collect
from .util import unittest
class TestTools(unittest.TestCase):
def setUp(self):
self.p1 = Point(0,0)
self.p2 = Point(1,1)
sel... | bsd-3-clause |
Achuth17/scikit-learn | examples/feature_selection/plot_rfe_with_cross_validation.py | 226 | 1384 | """
===================================================
Recursive feature elimination with cross-validation
===================================================
A recursive feature elimination example with automatic tuning of the
number of features selected with cross-validation.
"""
print(__doc__)
import matplotlib.p... | bsd-3-clause |
atulsingh0/MachineLearning | ML_A2Z/04_Polynomial_Regression.py | 1 | 2285 | # -*- coding: utf-8 -*-
"""
Created on Sun May 7 09:39:47 2017
# Polynomial Regression
@author: Atul
"""
# import
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from sklearn.preprocessing import PolynomialFeatures
from sklearn.mod... | gpl-3.0 |
RittmanResearch/maybrain | maybrain/plotting/histograms.py | 1 | 2008 | """
Module which plotting functions to visualise histograms
"""
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
def show():
"""
Show all the figures generated by matplotlib
This function is equivalent to :func:`matplotlib.pyplot.show`.
"""
plt.show()
def plot_weight_dist... | apache-2.0 |
Caoimhinmg/PmagPy | pmagpy/new_builder.py | 1 | 77768 | #!/usr/bin/env python
"""
This module is for creating or editing a MagIC contribution,
(or a piece of one).
You can build a contribution or an individual table from the ground up,
or you can read in one or more MagIC-format files.
You can also extract specific data from a table --
for instance, you can build a DIblock... | bsd-3-clause |
potash/scikit-learn | examples/applications/wikipedia_principal_eigenvector.py | 50 | 7817 | """
===============================
Wikipedia principal eigenvector
===============================
A classical way to assert the relative importance of vertices in a
graph is to compute the principal eigenvector of the adjacency matrix
so as to assign to each vertex the values of the components of the first
eigenvect... | bsd-3-clause |
andyraib/data-storage | python_scripts/env/lib/python3.6/site-packages/pandas/tseries/offsets.py | 7 | 95013 | from datetime import date, datetime, timedelta
from pandas.compat import range
from pandas import compat
import numpy as np
from pandas.types.generic import ABCSeries, ABCDatetimeIndex, ABCPeriod
from pandas.tseries.tools import to_datetime, normalize_date
from pandas.core.common import AbstractMethodError
# import a... | apache-2.0 |
smrjan/seldon-server | python/build/lib/seldon/keras.py | 2 | 7582 | from __future__ import absolute_import
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from keras.layers.normalization import BatchNormalization
from keras.utils import np_utils
from keras.models import model_from_json
import sys
import numpy as np
import pandas as pd
from s... | apache-2.0 |
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