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 |
|---|---|---|---|---|---|
2uller/LotF | App/Lib/site-packages/scipy/signal/fir_filter_design.py | 2 | 20124 | """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 . import sigtools
__all__ = ['kaiser_beta', 'kaiser_atten', 'kaiserord',
'firwin', 'firwin2',... | gpl-2.0 |
ntim/g4sipm | sample/plots/luigi/contrib/legend.py | 1 | 3239 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from matplotlib.table import Table
from matplotlib.artist import allow_rasterization
from matplotlib.text import Text
import sig
class LegendTable(Table):
def __init__(self, ax, loc=None, bbox=None, title=None, offset=None):
Table.__init__(self, ax, loc, bbox)
... | gpl-3.0 |
stylianos-kampakis/scikit-learn | sklearn/utils/metaestimators.py | 283 | 2353 | """Utilities for meta-estimators"""
# Author: Joel Nothman
# Andreas Mueller
# Licence: BSD
from operator import attrgetter
from functools import update_wrapper
__all__ = ['if_delegate_has_method']
class _IffHasAttrDescriptor(object):
"""Implements a conditional property using the descriptor protocol.
... | bsd-3-clause |
deepesch/scikit-learn | sklearn/neighbors/tests/test_nearest_centroid.py | 305 | 4121 | """
Testing for the nearest centroid module.
"""
import numpy as np
from scipy import sparse as sp
from numpy.testing import assert_array_equal
from numpy.testing import assert_equal
from sklearn.neighbors import NearestCentroid
from sklearn import datasets
from sklearn.metrics.pairwise import pairwise_distances
# t... | bsd-3-clause |
sliwy/kaggle-cervix | kmeans_validation.py | 1 | 2123 | import pandas as pd
from sklearn.cross_validation import train_test_split
import cv2
import numpy as np
from sklearn.cluster import KMeans
FILE_PATH = '../data/'
def compute_histogram(img, hist_size=100):
hist = cv2.calcHist([img], [0], mask=None, histSize=[hist_size], ranges=(0, 255))
hist = cv2.no... | gpl-3.0 |
mne-tools/mne-tools.github.io | 0.20/_downloads/e8440d4a71ce3cd53b39ebc6f55d87ec/plot_linear_regression_raw.py | 11 | 2388 | """
========================================
Regression on continuous data (rER[P/F])
========================================
This demonstrates how rER[P/F]s - regressing the continuous data - is a
generalisation of traditional averaging. If all preprocessing steps
are the same, no overlap between epochs exists, and ... | bsd-3-clause |
alephu5/Soundbyte | environment/lib/python3.3/site-packages/pandas/tseries/index.py | 1 | 66377 | # pylint: disable=E1101
import operator
from datetime import time, datetime
from datetime import timedelta
import numpy as np
from pandas.core.common import (isnull, _NS_DTYPE, _INT64_DTYPE,
is_list_like,_values_from_object, _maybe_box,
notnull, ABCSeri... | gpl-3.0 |
cpadavis/wizard | wizard/dndz.py | 1 | 28574 | """
Go from paircounts to phi(z)
.. module:: dndz
"""
from __future__ import print_function, division
import numpy as np
import astropy.cosmology
import pandas as pd
from astropy.cosmology import WMAP9
def dndz(pairs, redshifts, redshift_bins,
dndz_path='', integrate='paircounts', w_estimator='LS',
... | mit |
aminert/scikit-learn | examples/applications/svm_gui.py | 287 | 11161 | """
==========
Libsvm GUI
==========
A simple graphical frontend for Libsvm mainly intended for didactic
purposes. You can create data points by point and click and visualize
the decision region induced by different kernels and parameter settings.
To create positive examples click the left mouse button; to create
neg... | bsd-3-clause |
christianurich/VIBe2UrbanSim | 3rdparty/opus/src/opus_core/indicator_framework/core/indicator_data_manager.py | 2 | 12819 | # Opus/UrbanSim urban simulation software.
# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington
# See opus_core/LICENSE
import re
from opus_core.configurations.dataset_pool_configuration import DatasetPoolConfiguration
from opus_core.indicator_framework.core.source_dat... | gpl-2.0 |
malcolmw/SeisPy | seispy/pandas/io/fixed_width.py | 3 | 2431 | import os
import pandas as pd
from . import schema as _schema
def read_fwf(path=None, schema="css3.0", tables=None):
r"""Read fixed-width-format database tables into a DataFrame.
:param str path: Path to database.
:param str schema: Schema identifier.
:param list tables: A list of table populate.
... | gpl-3.0 |
barentsen/dave | fergalplay/comparebls.py | 1 | 5232 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 8 20:44:54 2016
@author: fergal
$Id$
$URL$
"""
__version__ = "$Id$"
__URL__ = "$URL$"
import matplotlib.pyplot as mp
import numpy as np
import dave.fileio.kplrfits as kplrfits
import dave.pipeline.fergalmain as fm
import dave.pipeline.task as task
import dave.pipel... | mit |
shyamalschandra/scikit-learn | examples/linear_model/plot_sgd_iris.py | 286 | 2202 | """
========================================
Plot multi-class SGD on the iris dataset
========================================
Plot decision surface of multi-class SGD on iris dataset.
The hyperplanes corresponding to the three one-versus-all (OVA) classifiers
are represented by the dashed lines.
"""
print(__doc__)
... | bsd-3-clause |
harshaneelhg/scikit-learn | examples/hetero_feature_union.py | 288 | 6236 | """
=============================================
Feature Union with Heterogeneous Data Sources
=============================================
Datasets can often contain components of that require different feature
extraction and processing pipelines. This scenario might occur when:
1. Your dataset consists of hetero... | bsd-3-clause |
mwrightevent38/MissionPlanner | Lib/site-packages/scipy/cluster/hierarchy.py | 53 | 94069 | """
Function Reference
------------------
These functions cut hierarchical clusterings into flat clusterings
or find the roots of the forest formed by a cut by providing the flat
cluster ids of each observation.
.. autosummary::
:toctree: generated/
fcluster
fclusterdata
leaders
These are routines for a... | gpl-3.0 |
jojonas/py1090 | examples/plot_basemap_3dpaths.py | 1 | 1233 | import sys, os.path
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), '..'))
import os.path
from collections import defaultdict, namedtuple
from mpl_toolkits.basemap import Basemap
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import py1... | mit |
karstenw/nodebox-pyobjc | examples/Extended Application/matplotlib/examples/ticks_and_spines/auto_ticks.py | 1 | 2324 | """
=================================
Automatically setting tick labels
=================================
Setting the behavior of tick auto-placement.
If you don't explicitly set tick positions / labels, Matplotlib will attempt
to choose them both automatically based on the displayed data and its limits.
By default,... | mit |
EFord36/normalise | evaluation/gold_standard_eval.py | 1 | 2673 | # -*- coding: utf-8 -*-
from __future__ import division, print_function, unicode_literals
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import (accuracy_score, confusion_matrix, precision_score,
recall_score)
from normalise.class_NUMB import run_clfNUMB, gen_fra... | gpl-3.0 |
aabadie/scikit-learn | sklearn/datasets/tests/test_20news.py | 280 | 3045 | """Test the 20news downloader, if the data is available."""
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import SkipTest
from sklearn import datasets
def test_20news():
try:
data = dat... | bsd-3-clause |
siutanwong/scikit-learn | sklearn/learning_curve.py | 110 | 13467 | """Utilities to evaluate models with respect to a variable
"""
# Author: Alexander Fabisch <afabisch@informatik.uni-bremen.de>
#
# License: BSD 3 clause
import warnings
import numpy as np
from .base import is_classifier, clone
from .cross_validation import check_cv
from .externals.joblib import Parallel, delayed
fro... | bsd-3-clause |
yonglehou/scikit-learn | sklearn/cluster/tests/test_dbscan.py | 114 | 11393 | """
Tests for DBSCAN clustering algorithm
"""
import pickle
import numpy as np
from scipy.spatial import distance
from scipy import sparse
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing im... | bsd-3-clause |
cpaulik/xray | xray/core/variable.py | 1 | 34899 | from datetime import timedelta
import functools
import itertools
import numpy as np
import pandas as pd
from . import common
from . import indexing
from . import ops
from . import utils
from .pycompat import basestring, OrderedDict, zip, reduce, dask_array_type
from .indexing import (PandasIndexAdapter, LazilyIndexed... | apache-2.0 |
wesm/statsmodels | scikits/statsmodels/sandbox/distributions/examples/matchdist.py | 5 | 9771 | '''given a 1D sample of observation, find a matching distribution
* estimate maximum likelihood paramater for each distribution
* rank estimated distribution by Kolmogorov-Smirnov and Anderson-Darling
test statistics
Author: Josef Pktd
License: Simplified BSD
original December 2008
TODO:
* refactor to result clas... | bsd-3-clause |
ndardenne/pymatgen | setup.py | 2 | 5488 | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
import os
from io import open
import sys
import platform
from setuptools import setup, find_packages, Extension
from setuptools.command.build_ext import build_ext as _build_ext
class build_ext(_build_ext):
... | mit |
ximion/dep11 | dep11/statsgenerator.py | 2 | 5009 | #!/usr/bin/env python3
#
# Copyright (C) 2015-2016 Matthias Klumpp <mak@debian.org>
#
# This program 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 3.0 of the License, or (at your opti... | lgpl-2.1 |
yavalvas/yav_com | build/matplotlib/lib/mpl_toolkits/axisartist/axisline_style.py | 8 | 5277 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from matplotlib.patches import _Style, FancyArrowPatch
from matplotlib.transforms import IdentityTransform
from matplotlib.path import Path
import numpy as np
class _FancyAxislineStyle:
class S... | mit |
pgleeson/neurotune | neurotune/utils.py | 1 | 3909 | '''
Script to plot evolution of parameters in neurotune
'''
import math
def plot_generation_evolution(sim_var_names,
target_values = {},
individuals_file_name = '../data/ga_individuals.csv',
show_plot_already = ... | bsd-3-clause |
rhyolight/nupic.research | projects/sequence_prediction/discrete_sequences/plotMultiplePrediction.py | 12 | 3551 | #!/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 ... | gpl-3.0 |
hrjn/scikit-learn | sklearn/linear_model/tests/test_logistic.py | 18 | 41552 | import numpy as np
import scipy.sparse as sp
from scipy import linalg, optimize, sparse
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.util... | bsd-3-clause |
Diviyan-Kalainathan/causal-humans | Cause-effect/lib/fsic/indtest.py | 2 | 56584 | """
Module containing many types of independence testing methods.
"""
__author__ = 'wittawat'
from abc import ABCMeta, abstractmethod
from data import PairedData
#import matplotlib.pyplot as plt
import numpy as np
#from numba import jit
import data as data
import util as util
import feature as fea
#from fsic.util imp... | mit |
drpngx/tensorflow | tensorflow/contrib/learn/python/learn/estimators/estimator_test.py | 21 | 54488 | # 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 |
rl-institut/reegis_hp | reegis_hp/de21/plots.py | 3 | 21748 | import pandas as pd
import numpy as np
import os
import geoplot
import locale
import datetime
from matplotlib import pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
import matplotlib.patheffects as path_effects
# import configuration as config
from oemof.tools import logger
from reegis_hp.de21 impo... | gpl-3.0 |
MAndelkovic/pybinding | pybinding/system.py | 1 | 19231 | """Structural information and utilities"""
import functools
import itertools
import numpy as np
import matplotlib.pyplot as plt
from . import _cpp
from . import pltutils
from .lattice import Lattice
from .utils import with_defaults, rotate_axes
from .support.alias import AliasArray
from .support.fuzzy_set import Fuzz... | bsd-2-clause |
PanDAWMS/panda-server | pandaserver/server/panda.py | 1 | 17875 | #!/usr/bin/python
"""
entry point
"""
import datetime
import traceback
import six
import tempfile
import io
import signal
import json
import gzip
# config file
from pandaserver.config import panda_config
from pandaserver.taskbuffer.Initializer import initializer
from pandaserver.taskbuffer.TaskBuffer import taskBu... | apache-2.0 |
harisbal/pandas | pandas/tests/generic/test_series.py | 4 | 8241 | # -*- coding: utf-8 -*-
# pylint: disable-msg=E1101,W0612
from operator import methodcaller
import pytest
import numpy as np
import pandas as pd
from distutils.version import LooseVersion
from pandas import Series, date_range, MultiIndex
from pandas.compat import range
from pandas.util.testing import (assert_series... | bsd-3-clause |
fspaolo/scikit-learn | sklearn/utils/tests/test_testing.py | 13 | 3044 | import warnings
import unittest
import sys
from nose.tools import assert_raises
from sklearn.utils.testing import (
_assert_less,
_assert_greater,
assert_warns,
assert_no_warnings,
assert_equal,
set_random_state,
assert_raise_message)
from sklearn.tree import DecisionTreeClassifier
from s... | bsd-3-clause |
xwolf12/scikit-learn | examples/classification/plot_digits_classification.py | 289 | 2397 | """
================================
Recognizing hand-written digits
================================
An example showing how the scikit-learn can be used to recognize images of
hand-written digits.
This example is commented in the
:ref:`tutorial section of the user manual <introduction>`.
"""
print(__doc__)
# Autho... | bsd-3-clause |
roxyboy/scikit-learn | sklearn/utils/tests/test_utils.py | 215 | 8100 | import warnings
import numpy as np
import scipy.sparse as sp
from scipy.linalg import pinv2
from itertools import chain
from sklearn.utils.testing import (assert_equal, assert_raises, assert_true,
assert_almost_equal, assert_array_equal,
SkipTest, ... | bsd-3-clause |
r-mart/scikit-learn | sklearn/linear_model/bayes.py | 220 | 15248 | """
Various bayesian regression
"""
from __future__ import print_function
# Authors: V. Michel, F. Pedregosa, A. Gramfort
# License: BSD 3 clause
from math import log
import numpy as np
from scipy import linalg
from .base import LinearModel
from ..base import RegressorMixin
from ..utils.extmath import fast_logdet, p... | bsd-3-clause |
gregcaporaso/qiime | scripts/plot_semivariogram.py | 6 | 15026 | #!/usr/bin/env python
# File created on 09 Feb 2010
from __future__ import division
__author__ = "Antonio Gonzalez Pena"
__copyright__ = "Copyright 2011, The QIIME Project"
__credits__ = ["Antonio Gonzalez Pena", "Kyle Patnode", "Yoshiki Vazquez-Baeza"]
__license__ = "GPL"
__version__ = "1.9.1-dev"
__maintainer__ = "A... | gpl-2.0 |
choderalab/open-forcefield-group | nmr/ace_X_NME/code/dipeptide_parameters.py | 2 | 1538 | from simtk import unit as u
import numpy as np
import pandas as pd
import itertools
padding = 0.95 * u.nanometers
cutoff = 0.9 * u.nanometers
temperature = 303 * u.kelvin
timestep = 2.0 * u.femtoseconds
equilibration_timestep = 1.0 * u.femtoseconds
barostat_frequency = 25
pressure = 1.0 * u.atmosphere
friction = 0.... | gpl-2.0 |
CarlosA-Lopez/Proyecto_Embebidos_Grupo2 | plotly-1.2.9/plotly/matplotlylib/mpltools.py | 1 | 17970 | """
Tools
A module for converting from mpl language to plotly language.
"""
import math
import warnings
import datetime
import matplotlib.dates
def check_bar_match(old_bar, new_bar):
"""Check if two bars belong in the same collection (bar chart).
Positional arguments:
old_bar -- a previously sorted bar... | unlicense |
0x0all/scikit-learn | examples/classification/plot_digits_classification.py | 289 | 2397 | """
================================
Recognizing hand-written digits
================================
An example showing how the scikit-learn can be used to recognize images of
hand-written digits.
This example is commented in the
:ref:`tutorial section of the user manual <introduction>`.
"""
print(__doc__)
# Autho... | bsd-3-clause |
desihub/desispec | py/desispec/qa/qa_plots.py | 1 | 51582 | """ Module for QA plots
"""
from __future__ import print_function, absolute_import, division
import os
import numpy as np
from scipy import signal
import scipy
import scipy.stats
import pdb
import copy
from astropy.time import Time
from desiutil.log import get_logger
from desispec import fluxcalibration as dsflux
fr... | bsd-3-clause |
jmankoff/idata | install_scripts/jupyter_notebook_config.py | 1 | 21891 | # Configuration file for jupyter-notebook.
#------------------------------------------------------------------------------
# Application(SingletonConfigurable) configuration
#------------------------------------------------------------------------------
## This is an application.
## The date format used by logging f... | gpl-3.0 |
Dino0631/RedRain-Bot | lib/youtube_dl/extractor/wsj.py | 19 | 4502 | # coding: utf-8
from __future__ import unicode_literals
from .common import InfoExtractor
from ..utils import (
int_or_none,
float_or_none,
unified_strdate,
)
class WSJIE(InfoExtractor):
_VALID_URL = r'''(?x)
(?:
https?://video-api\.wsj\.com/api-vid... | gpl-3.0 |
lukeiwanski/tensorflow-opencl | tensorflow/contrib/learn/python/learn/estimators/kmeans_test.py | 2 | 18517 | # 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 |
datapythonista/pandas | pandas/core/base.py | 1 | 38015 | """
Base and utility classes for pandas objects.
"""
from __future__ import annotations
import textwrap
from typing import (
TYPE_CHECKING,
Any,
Generic,
Hashable,
TypeVar,
cast,
)
import numpy as np
import pandas._libs.lib as lib
from pandas._typing import (
ArrayLike,
Dtype,
Dt... | bsd-3-clause |
capgadsx/acalib | acalib/algorithms/attic/gaussClumps.py | 4 | 39243 | import numpy as np
from collections import deque
from astropy.table import Table
from scipy.optimize import fmin_bfgs,check_grad,approx_fprime
#from scipy.optimize.linesearch import (line_search_BFGS, line_search_wolfe1, line_search_wolfe2, line_search_wolfe2 as line_search)
#from optimize import fmin_bfgs
import cop... | gpl-3.0 |
WafaaT/spark-tk | regression-tests/sparktkregtests/testcases/models/random_forest_classifier_test.py | 10 | 8579 | # 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 |
liberatorqjw/scikit-learn | examples/linear_model/plot_ransac.py | 250 | 1673 | """
===========================================
Robust linear model estimation using RANSAC
===========================================
In this example we see how to robustly fit a linear model to faulty data using
the RANSAC algorithm.
"""
import numpy as np
from matplotlib import pyplot as plt
from sklearn import ... | bsd-3-clause |
sourabhdattawad/BuildingMachineLearningSystemsWithPython | ch02/chapter.py | 17 | 4700 | # 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
from matplotlib import pyplot as plt
import numpy as np
# We load the data with load_iris from sklear... | mit |
devanshdalal/scikit-learn | examples/semi_supervised/plot_label_propagation_digits_active_learning.py | 36 | 4076 | """
========================================
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 |
pajanne/ngsreports | legacy/send_audit_reports.py | 2 | 4524 | """
Python script send_audit_reports
Created by Anne Pajon under user 'pajon01' on 26/07/2016
"""
import argparse
import os
import pandas as pd
import smtplib
from email import Encoders
from email.MIMEBase import MIMEBase
from email.MIMEMultipart import MIMEMultipart
from email.MIMEText import MIMEText
# import site ... | mit |
carrillo/scikit-learn | sklearn/linear_model/bayes.py | 220 | 15248 | """
Various bayesian regression
"""
from __future__ import print_function
# Authors: V. Michel, F. Pedregosa, A. Gramfort
# License: BSD 3 clause
from math import log
import numpy as np
from scipy import linalg
from .base import LinearModel
from ..base import RegressorMixin
from ..utils.extmath import fast_logdet, p... | bsd-3-clause |
mmalter/dlstats | dlstats/fetchers/bea.py | 2 | 9879 | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 10 11:35:26 2015
@author: salimeh
"""
from dlstats.fetchers._commons import Fetcher, Datasets, Providers, CodeDict
from dlstats import constants
import urllib
import xlrd
import csv
import codecs
from datetime import datetime
import pandas
import pprint
from collections ... | agpl-3.0 |
shaowei-su/pyAudioAnalysis | data/testComputational.py | 5 | 3609 | import sys
from pyAudioAnalysis import audioBasicIO
from pyAudioAnalysis import audioFeatureExtraction
from pyAudioAnalysis import audioTrainTest as aT
from pyAudioAnalysis import audioSegmentation as aS
import matplotlib.pyplot as plt
import time
nExp = 4
def main(argv):
if argv[1] == "-shortTerm":
for i in range... | apache-2.0 |
DGrady/pandas | pandas/core/generic.py | 2 | 249354 | # pylint: disable=W0231,E1101
import collections
import warnings
import operator
import weakref
import gc
import json
import numpy as np
import pandas as pd
from pandas._libs import tslib, lib
from pandas.core.dtypes.common import (
_ensure_int64,
_ensure_object,
is_scalar,
is_number,
is_integer, ... | bsd-3-clause |
pjryan126/solid-start-careers | store/api/zillow/venv/lib/python2.7/site-packages/pandas/core/panel4d.py | 2 | 1831 | """ Panel4D: a 4-d dict like collection of panels """
from pandas.core.panelnd import create_nd_panel_factory
from pandas.core.panel import Panel
Panel4D = create_nd_panel_factory(klass_name='Panel4D',
orders=['labels', 'items', 'major_axis',
... | gpl-2.0 |
xasos/crowdsource-platform | crowdsourcing/viewsets/csvmanager.py | 3 | 3588 | from rest_framework.viewsets import ViewSet
from rest_framework import status
from rest_framework.response import Response
from crowdsourcing.serializers.requesterinputfile import RequesterInputFileSerializer
from crowdsourcing.serializers.task import TaskSerializer
from crowdsourcing.models import RequesterInputFile, ... | mit |
galactics/beyond | doc/source/_static/hohmann.py | 2 | 2636 |
"""Example of Hohmann transfer
The orbit we are starting with is a Tle of the ISS. The amplitude of the maneuver is greatly
exagerated regarding the ISS's capability, but has the convenience to be particularly visual.
"""
import sys
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import ... | mit |
fabianp/scikit-learn | examples/svm/plot_svm_kernels.py | 329 | 1971 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
SVM-Kernels
=========================================================
Three different types of SVM-Kernels are displayed below.
The polynomial and RBF are especially useful when the
data-points are not linearly sep... | bsd-3-clause |
bcharlas/mytrunk | examples/concrete/interaction-histogram.py | 10 | 1273 | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# demonstration of the yade.post2d module (see its documentation for details)
#
import pylab # the matlab-like interface of matplotlib
pylab.ioff()
import numpy
import os.path
# run uniax.py to get this file
loadFile='/tmp/uniax-tension.yade.gz'
if not os.path.exists(loadFil... | gpl-2.0 |
tseaver/google-cloud-python | bigquery/tests/unit/test_magics.py | 1 | 46662 | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | apache-2.0 |
allotria/intellij-community | python/helpers/pycharm_matplotlib_backend/sitecustomize.py | 10 | 1837 | import os
import sys
import traceback
SHOW_DEBUG_INFO = os.getenv('PYCHARM_DEBUG', 'False').lower() in ['true', '1']
def debug(message):
if SHOW_DEBUG_INFO:
sys.stderr.write(message)
sys.stderr.write("\n")
debug("Executing PyCharm's `sitecustomize`")
modules_list = []
try:
# We want to impo... | apache-2.0 |
btabibian/scikit-learn | sklearn/cluster/k_means_.py | 8 | 60187 | """K-means clustering"""
# Authors: Gael Varoquaux <gael.varoquaux@normalesup.org>
# Thomas Rueckstiess <ruecksti@in.tum.de>
# James Bergstra <james.bergstra@umontreal.ca>
# Jan Schlueter <scikit-learn@jan-schlueter.de>
# Nelle Varoquaux
# Peter Prettenhofer <peter.prettenh... | bsd-3-clause |
YinongLong/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 |
manterd/myPhyloDB | functions/analysis/norm_graphs.py | 1 | 46683 | import datetime
from django.http import HttpResponse
from django_pandas.io import read_frame
import json
import logging
from numpy import *
import numpy as np
from numpy.random.mtrand import RandomState
import pandas as pd
import pickle
from pyper import *
import zipfile
import psutil
from database.models import Sampl... | gpl-3.0 |
shaharkadmiel/seispy | pySW4/utils/spectral.py | 2 | 9858 | """
Python module for spectral analysis.
.. module:: spectral
:author:
Shahar Shani-Kadmiel (s.shanikadmiel@tudelft.nl)
:copyright:
Shahar Shani-Kadmiel
:license:
This code is distributed under the terms of the
GNU Lesser General Public License, Version 3
(https://www.gnu.org/copyleft/lesser.htm... | gpl-3.0 |
dougnd/matplotlib2tikz | test/testfunctions/text_overlay.py | 1 | 2562 | # -*- coding: utf-8 -*-
#
desc = 'Regular plot with overlay text'
# phash = '770b23744b93c68d'
phash = '370b233649d3f64c'
def plot():
from matplotlib import pyplot as pp
import numpy as np
fig = pp.figure()
xxx = np.linspace(0, 5)
yyy = xxx**2
pp.text(1, 5, 'test1', size=50, rotation=30.,
... | mit |
kelseyoo14/Wander | venv_2_7/lib/python2.7/site-packages/pandas/tests/test_dtypes.py | 9 | 6239 | # -*- coding: utf-8 -*-
from itertools import product
import nose
import numpy as np
from pandas import Series, Categorical, date_range
import pandas.core.common as com
from pandas.core.common import (CategoricalDtype, is_categorical_dtype, is_categorical,
DatetimeTZDtype, is_datetime64... | artistic-2.0 |
JsNoNo/scikit-learn | sklearn/linear_model/coordinate_descent.py | 59 | 76336 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Gael Varoquaux <gael.varoquaux@inria.fr>
#
# License: BSD 3 clause
import sys
import warnings
from abc import ABCMeta, abstractmethod
import n... | bsd-3-clause |
drefk99/skynet_beeva | python-scripts-historico/his_bancomer.py | 1 | 2973 | import json
import tweepy
from tweepy import Stream
from tweepy.streaming import StreamListener ... | mit |
imk1/IMKTFBindingCode | runElasticNetRegressionFromRankNorm.py | 1 | 8675 | import sys
import argparse
import os
import pybedtools as bt
import numpy as np
from deeplearning.mergedPeaksSummitAndMakeContinuousMat import show_value
from sklearn.linear_model import ElasticNet
from scipy.stats import spearmanr
def parseArgument():
# Parse the input
parser = argparse.ArgumentParser(description="... | mit |
macioosch/dynamo-hard-spheres-sim | convergence-csv.py | 1 | 3147 | #!/usr/bin/env python2
# encoding=utf-8
from __future__ import division, print_function
from glob import glob
from math import pi
from pprint import pprint
from sys import argv, stdout
from xml.dom import minidom
import bz2
import csv
import matplotlib.pyplot as plt
import re
# local imports
from my_helper_functions_... | gpl-3.0 |
ankurankan/scikit-learn | doc/tutorial/text_analytics/solutions/exercise_01_language_train_model.py | 254 | 2253 | """Build a language detector model
The goal of this exercise is to train a linear classifier on text features
that represent sequences of up to 3 consecutive characters so as to be
recognize natural languages by using the frequencies of short character
sequences as 'fingerprints'.
"""
# Author: Olivier Grisel <olivie... | bsd-3-clause |
robbymeals/scikit-learn | sklearn/tree/tree.py | 113 | 34767 | """
This module gathers tree-based methods, including decision, regression and
randomized trees. Single and multi-output problems are both handled.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Da... | bsd-3-clause |
khkaminska/scikit-learn | sklearn/feature_extraction/tests/test_dict_vectorizer.py | 276 | 3790 | # Authors: Lars Buitinck <L.J.Buitinck@uva.nl>
# Dan Blanchard <dblanchard@ets.org>
# License: BSD 3 clause
from random import Random
import numpy as np
import scipy.sparse as sp
from numpy.testing import assert_array_equal
from sklearn.utils.testing import (assert_equal, assert_in,
... | bsd-3-clause |
gef756/statsmodels | statsmodels/sandbox/tsa/example_arma.py | 27 | 11572 | '''trying to verify theoretical acf of arma
explicit functions for autocovariance functions of ARIMA(1,1), MA(1), MA(2)
plus 3 functions from nitime.utils
'''
from __future__ import print_function
from statsmodels.compat.python import range
import numpy as np
from numpy.testing import assert_array_almost_equal
impor... | bsd-3-clause |
3manuek/scikit-learn | sklearn/tree/export.py | 75 | 15670 | """
This module defines export functions for decision trees.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Dawe <noel@dawe.me>
# Satrajit Gosh <satrajit.ghosh@gmail.com>
# Trevor... | bsd-3-clause |
alekz112/statsmodels | examples/python/ols.py | 30 | 5601 |
## Ordinary Least Squares
from __future__ import print_function
import numpy as np
import statsmodels.api as sm
import matplotlib.pyplot as plt
from statsmodels.sandbox.regression.predstd import wls_prediction_std
np.random.seed(9876789)
# ## OLS estimation
#
# Artificial data:
nsample = 100
x = np.linspace(0, 1... | bsd-3-clause |
public-ink/public-ink | server/appengine/lib/mpl_toolkits/gtktools.py | 10 | 19272 | """
Some gtk specific tools and widgets
* rec2gtk : put record array in GTK treeview - requires gtk
Example usage
import matplotlib.mlab as mlab
import mpl_toolkits.gtktools as gtktools
r = mlab.csv2rec('somefile.csv', checkrows=0)
formatd = dict(
weight = mlab.FormatFloat(2),
... | gpl-3.0 |
kkoksvik/FreeCAD | src/Mod/Plot/plotSeries/TaskPanel.py | 26 | 17784 | #***************************************************************************
#* *
#* Copyright (c) 2011, 2012 *
#* Jose Luis Cercos Pita <jlcercos@gmail.com> *
#* ... | lgpl-2.1 |
ucsd-progsys/ml2 | learning/randomforest2.py | 2 | 3950 | import math
import os.path
import random
random.seed()
from sklearn import tree
from sklearn.ensemble import RandomForestClassifier
import numpy as np
import pandas as pd
import input_old
csvs2 = [f for f in os.listdir('ml2/data/fa15/op+context-count+type+size') if f.endswith('.csv')]
csvs = [f for f in os.listdir('... | bsd-3-clause |
trungnt13/scikit-learn | examples/linear_model/plot_bayesian_ridge.py | 248 | 2588 | """
=========================
Bayesian Ridge Regression
=========================
Computes a Bayesian Ridge Regression on a synthetic dataset.
See :ref:`bayesian_ridge_regression` for more information on the regressor.
Compared to the OLS (ordinary least squares) estimator, the coefficient
weights are slightly shift... | bsd-3-clause |
yonglehou/scikit-learn | examples/cluster/plot_dbscan.py | 346 | 2479 | # -*- coding: utf-8 -*-
"""
===================================
Demo of DBSCAN clustering algorithm
===================================
Finds core samples of high density and expands clusters from them.
"""
print(__doc__)
import numpy as np
from sklearn.cluster import DBSCAN
from sklearn import metrics
from sklearn... | bsd-3-clause |
linebp/pandas | scripts/groupby_sample.py | 7 | 1847 | from pandas import *
import numpy as np
import string
import pandas.compat as compat
g1 = np.array(list(string.letters))[:-1]
g2 = np.arange(510)
df_small = DataFrame({'group1': ["a", "b", "a", "a", "b", "c", "c", "c", "c",
"c", "a", "a", "a", "b", "b", "b", "b"],
... | bsd-3-clause |
ytoyama/yans_2015_poster | fig/bar_chart.py | 2 | 1310 | #!/usr/bin/env python3
import numpy as np
import matplotlib.pyplot as plt
plt.rc('font', family='IPAGothic', size=24)
import sys
import csv
def error(*items):
print(*items, file=sys.stderr)
exit(1)
def main(csv_file, png_file):
with open(csv_file, newline='') as f:
labels = next(csv.reader(f))
result... | bsd-2-clause |
mengli/PcmAudioRecorder | kaggle/Avito/avito.py | 2 | 10574 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I... | apache-2.0 |
14thibea/megamix | megamix/batch/initializations.py | 1 | 12778 | # -*- coding: utf-8 -*-
#
#Created on Mon Apr 3 15:14:34 2017
#
#author: Elina Thibeau-Sutre
#
import numpy as np
import random
def initialization_random(n_components,points):
"""
This method returns an array of k points which will be used in order to
initialize a k_means algorithm
Parameters
... | apache-2.0 |
parnellj/fitbit_generator | fitbit_generator/grapher.py | 1 | 4197 | from __future__ import division
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import datetime
import numpy as np
from scipy.interpolate import spline
from datetime import datetime as dt, timedelta
ds_raw = []
start_time = dt(1900,1,1)
with open('20170221_0700_to_2359_hr.txt', 'r') as ... | gpl-3.0 |
DSLituiev/scikit-learn | examples/ensemble/plot_forest_iris.py | 335 | 6271 | """
====================================================================
Plot the decision surfaces of ensembles of trees on the iris dataset
====================================================================
Plot the decision surfaces of forests of randomized trees trained on pairs of
features of the iris dataset.
... | bsd-3-clause |
dbarbier/ot-svn | python/doc/pyplots/LinearEnumerateFunction.py | 4 | 2604 | import matplotlib.pyplot as plt
# Create the figure
plt.figure(1, figsize=(4, 4))
ax = plt.subplot(111)
# Create the points
ax.plot([0, 0, 1, 0, 1, 2, 3, 2, 1, 0], [
0, 1, 0, 2, 1, 0, 0, 1, 2, 3], "o", markersize=9)
# Create the arrows
ax.annotate("",
xy=(0.97, 0), xycoords='data',
xy... | gpl-3.0 |
js850/nested_sampling | nested_sampling/models/harmonic_nowalk.py | 1 | 2614 | """classes and functions related to a particle in a n dimensional harmonic potential"""
import numpy as np
from nested_sampling.utils.result import Result
from harmonic import vector_random_uniform_hypersphere
def get_random_configuration_Emax(ndim, Emax, Eground=None, kappa_sqrt=None, x0=None):
"""return a rand... | bsd-2-clause |
Weihonghao/ECM | Vpy34/lib/python3.5/site-packages/pandas/tests/plotting/test_converter.py | 14 | 7243 | import pytest
from datetime import datetime, date
import numpy as np
from pandas import Timestamp, Period, Index
from pandas.compat import u
import pandas.util.testing as tm
from pandas.tseries.offsets import Second, Milli, Micro, Day
from pandas.compat.numpy import np_datetime64_compat
converter = pytest.importorski... | agpl-3.0 |
nicoddemus/backtrader | backtrader/utils/date.py | 4 | 1295 | #!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as pub... | gpl-3.0 |
EmreAtes/spack | var/spack/repos/builtin/packages/py-htseq/package.py | 5 | 1930 | ##############################################################################
# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-64... | lgpl-2.1 |
yonglehou/scikit-learn | sklearn/datasets/mlcomp.py | 289 | 3855 | # Copyright (c) 2010 Olivier Grisel <olivier.grisel@ensta.org>
# License: BSD 3 clause
"""Glue code to load http://mlcomp.org data as a scikit.learn dataset"""
import os
import numbers
from sklearn.datasets.base import load_files
def _load_document_classification(dataset_path, metadata, set_=None, **kwargs):
if ... | bsd-3-clause |
XiaoxiaoLiu/morphology_analysis | utilities/writeAffineTransformsFromCSV.py | 1 | 2408 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 25 18:19:18 2015
@author: xiaoxiaol
[ trv_00 trv_01 trv_02 trv_09
trv_03 trv_04 trv_05 trv_10
trv_06 trv_07 trv_08 trv_11 ]
"""
# table column names
# Index([u'specimen_id', u'specimen_name', u'id', u'tvr_00', u'tvr_01', u'tvr_02', u'tvr_03', u'tvr_04', u'tvr_05... | gpl-3.0 |
shoyer/xarray | xarray/plot/plot.py | 1 | 33258 | """
Use this module directly:
import xarray.plot as xplt
Or use the methods on a DataArray or Dataset:
DataArray.plot._____
Dataset.plot._____
"""
import functools
import numpy as np
import pandas as pd
from .facetgrid import _easy_facetgrid
from .utils import (
_add_colorbar,
_ensure_plottable,
... | apache-2.0 |
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