repo_name stringlengths 7 92 | path stringlengths 5 149 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 911 693k | license stringclasses 15
values |
|---|---|---|---|---|---|
srus/django-kickstartvenv | boot/ipython/ipython_config.py | 3 | 19804 | # Configuration file for ipython.
c = get_config()
#------------------------------------------------------------------------------
# InteractiveShellApp configuration
#------------------------------------------------------------------------------
# A Mixin for applications that start InteractiveShell instances.
#
# ... | mit |
eickenberg/scikit-learn | sklearn/metrics/cluster/unsupervised.py | 10 | 8104 | """ Unsupervised evaluation metrics. """
# Authors: Robert Layton <robertlayton@gmail.com>
#
# License: BSD 3 clause
import numpy as np
from ...utils import check_random_state
from ..pairwise import pairwise_distances
def silhouette_score(X, labels, metric='euclidean', sample_size=None,
random... | bsd-3-clause |
jason-z-hang/airflow | airflow/contrib/plugins/metastore_browser/main.py | 42 | 5126 | from datetime import datetime
import json
from flask import Blueprint, request
from flask.ext.admin import BaseView, expose
import pandas as pd
from airflow.hooks import HiveMetastoreHook, MySqlHook, PrestoHook, HiveCliHook
from airflow.plugins_manager import AirflowPlugin
from airflow.www import utils as wwwutils
M... | apache-2.0 |
mjudsp/Tsallis | examples/classification/plot_digits_classification.py | 34 | 2409 | """
================================
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 |
rexshihaoren/scikit-learn | examples/linear_model/plot_sgd_penalties.py | 249 | 1563 | """
==============
SGD: Penalties
==============
Plot the contours of the three penalties.
All of the above are supported by
:class:`sklearn.linear_model.stochastic_gradient`.
"""
from __future__ import division
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
def l1(xs):
return np.array([np.... | bsd-3-clause |
gtrensch/nest-simulator | pynest/examples/clopath_synapse_small_network.py | 8 | 7493 | # -*- coding: utf-8 -*-
#
# clopath_synapse_small_network.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 ... | gpl-2.0 |
huzq/scikit-learn | sklearn/tests/test_random_projection.py | 9 | 13850 |
import functools
from typing import List, Any
import numpy as np
import scipy.sparse as sp
import pytest
from sklearn.metrics import euclidean_distances
from sklearn.random_projection import johnson_lindenstrauss_min_dim
from sklearn.random_projection import _gaussian_random_matrix
from sklearn.random_projection im... | bsd-3-clause |
appapantula/scikit-learn | examples/neural_networks/plot_rbm_logistic_classification.py | 258 | 4609 | """
==============================================================
Restricted Boltzmann Machine features for digit classification
==============================================================
For greyscale image data where pixel values can be interpreted as degrees of
blackness on a white background, like handwritten... | bsd-3-clause |
selective-inference/selective-inference | doc/learning_examples/HIV/stability_CV_6000.py | 3 | 3166 | import functools
import numpy as np
from scipy.stats import norm as ndist
import regreg.api as rr
# load in the X matrix
from selection.tests.instance import HIV_NRTI
X_full = HIV_NRTI(datafile="NRTI_DATA.txt", standardize=False)[0]
from selection.learning.utils import full_model_inference, liu_inference, pivot_pl... | bsd-3-clause |
evanthebouncy/nnhmm | radar_lstm/draw.py | 6 | 2538 | import numpy as np
import matplotlib.pylab as plt
import multiprocessing as mp
from matplotlib import figure
# m = [[0.0, 1.47, 2.43, 3.44, 1.08, 2.83, 1.08, 2.13, 2.11, 3.7], [1.47, 0.0, 1.5, 2.39, 2.11, 2.4, 2.11, 1.1, 1.1, 3.21], [2.43, 1.5, 0.0, 1.22, 2.69, 1.33, 3.39, 2.15, 2.12, 1.87], [3.44, 2.39, 1.22, 0.... | mit |
zhujianwei31415/dcnnfold | scripts/evaluation/evaluate_spec_sens_three_levels.py | 2 | 1892 | #! /usr/bin/env python
#
# Copyright
# Author: zhujianwei@ict.ac.cn (Jianwei Zhu)
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import sys
from sklearn.metrics import precision_recall_curve
from sklearn.metrics import average_precision_s... | gpl-3.0 |
jcrist/blaze | blaze/compute/tests/test_bcolz_compute.py | 9 | 5874 | from __future__ import absolute_import, division, print_function
import pytest
bcolz = pytest.importorskip('bcolz')
from datashape import discover, dshape
import numpy as np
import pandas.util.testing as tm
from odo import into
from blaze import by
from blaze.expr import symbol
from blaze.compute.core import compu... | bsd-3-clause |
kmike/scikit-learn | examples/plot_lda_qda.py | 12 | 4758 | """
====================================================================
Linear and Quadratic Discriminant Analysis with confidence ellipsoid
====================================================================
Plot the confidence ellipsoids of each class and decision boundary
"""
print(__doc__)
from scipy import lin... | bsd-3-clause |
BoldingBruggeman/gotm | gui.py/xmlplot/data/gotmtext.py | 1 | 35659 | import os, StringIO
import numpy
import xmlstore.xmlstore
import xmlplot.common
class LinkedFileVariableStore(xmlplot.common.VariableStore,xmlstore.datatypes.DataFileEx):
# XML store-derived class for storing (cached) metadata of a data file,
# such as coordinate ranges.
# This is implemented as XML sto... | gpl-2.0 |
arjoly/scikit-learn | sklearn/covariance/tests/test_covariance.py | 34 | 11120 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Virgile Fritsch <virgile.fritsch@inria.fr>
#
# License: BSD 3 clause
import numpy as np
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_alm... | bsd-3-clause |
RayMick/scikit-learn | examples/neighbors/plot_species_kde.py | 282 | 4059 | """
================================================
Kernel Density Estimate of Species Distributions
================================================
This shows an example of a neighbors-based query (in particular a kernel
density estimate) on geospatial data, using a Ball Tree built upon the
Haversine distance metric... | bsd-3-clause |
Jay-Jay-D/LeanSTP | Algorithm.Framework/Portfolio/MinimumVariancePortfolioOptimizer.py | 3 | 4622 | # QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect 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 Lice... | apache-2.0 |
mayblue9/scikit-learn | sklearn/feature_extraction/tests/test_text.py | 41 | 35602 | from __future__ import unicode_literals
import warnings
from sklearn.feature_extraction.text import strip_tags
from sklearn.feature_extraction.text import strip_accents_unicode
from sklearn.feature_extraction.text import strip_accents_ascii
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.fe... | bsd-3-clause |
Weihonghao/ECM | Vpy34/lib/python3.5/site-packages/pandas/io/sql.py | 7 | 58343 | # -*- coding: utf-8 -*-
"""
Collection of query wrappers / abstractions to both facilitate data
retrieval and to reduce dependency on DB-specific API.
"""
from __future__ import print_function, division
from datetime import datetime, date, time
import warnings
import re
import numpy as np
import pandas._libs.lib as ... | agpl-3.0 |
vshtanko/scikit-learn | sklearn/cluster/tests/test_birch.py | 342 | 5603 | """
Tests for the birch clustering algorithm.
"""
from scipy import sparse
import numpy as np
from sklearn.cluster.tests.common import generate_clustered_data
from sklearn.cluster.birch import Birch
from sklearn.cluster.hierarchical import AgglomerativeClustering
from sklearn.datasets import make_blobs
from sklearn.l... | bsd-3-clause |
liuwenf/moose | modules/porous_flow/doc/tests/dispersion.py | 14 | 1881 | #!/usr/bin/env python
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
from scipy.special import erfc
import pandas as pd
#
# Diffusion-only test
#
# Read MOOSE simulation data
data = pd.read_csv("../../tests/dispersion/diff01_out_xmass_0021.csv")
# The analytical solution is erfc(u) where u i... | lgpl-2.1 |
zifeo/nest-simulator | topology/pynest/tests/test_plotting.py | 13 | 4111 | # -*- coding: utf-8 -*-
#
# test_plotting.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, ... | gpl-2.0 |
kcavagnolo/astroML | book_figures/chapter6/fig_great_wall_MST.py | 3 | 5216 | """
Euclidean Minimum Spanning Tree
-------------------------------
Figure 6.15
An approximate Euclidean minimum spanning tree over the two-dimensional
projection of the SDSS Great Wall. The upper panel shows the input points, and
the middle panel shows the dendrogram connecting them. The lower panel shows
clustering ... | bsd-2-clause |
aflaxman/scikit-learn | sklearn/decomposition/tests/test_truncated_svd.py | 66 | 8261 | """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 |
Petr-Kovalev/nupic-win32 | external/linux32/lib/python2.6/site-packages/matplotlib/_mathtext_data.py | 69 | 57988 | """
font data tables for truetype and afm computer modern fonts
"""
# this dict maps symbol names to fontnames, glyphindex. To get the
# glyph index from the character code, you have to use get_charmap
"""
from matplotlib.ft2font import FT2Font
font = FT2Font('/usr/local/share/matplotlib/cmr10.ttf')
items = font.get_... | gpl-3.0 |
vybstat/scikit-learn | sklearn/externals/joblib/parallel.py | 79 | 35628 | """
Helpers for embarrassingly parallel code.
"""
# Author: Gael Varoquaux < gael dot varoquaux at normalesup dot org >
# Copyright: 2010, Gael Varoquaux
# License: BSD 3 clause
from __future__ import division
import os
import sys
import gc
import warnings
from math import sqrt
import functools
import time
import thr... | bsd-3-clause |
glemaitre/UnbalancedDataset | imblearn/under_sampling/prototype_generation/cluster_centroids.py | 2 | 7740 | """Class to perform under-sampling by generating centroids based on
clustering."""
# Authors: Guillaume Lemaitre <g.lemaitre58@gmail.com>
# Fernando Nogueira
# Christos Aridas
# License: MIT
from __future__ import division, print_function
import numpy as np
from scipy import sparse
from sklearn.cl... | mit |
gkoh/pynab | scripts/nzedb_pre_import.py | 2 | 7655 | """
Pynab nzedb pre import
Imports pre files from nzedb dropbox
Usage:
nzedb_pre_import.py large|small
Options:
-h --help Show this screen.
--version Show version.
"""
# This is quite possibly the most hilariously complex import process...
# What I can gather as the column name... | gpl-2.0 |
JackKelly/neuralnilm_prototype | scripts/e288.py | 2 | 5039 | from __future__ import print_function, division
import matplotlib
import logging
from sys import stdout
matplotlib.use('Agg') # Must be before importing matplotlib.pyplot or pylab!
from neuralnilm import (Net, RealApplianceSource,
BLSTMLayer, DimshuffleLayer,
Bidirectio... | mit |
etraiger/PCWG | plots.py | 2 | 15226 | import os
import pandas as pd
from Analysis import chckMake
np = pd.np
class MatplotlibPlotter(object):
def __init__(self,path, analysis):
self.path = path
self.analysis = analysis
def plot_multiple(self, windSpeedCol, powerCol, meanPowerCurveObj):
try:
from matplotlib impo... | mit |
herberthudson/pynance | pynance/common.py | 2 | 5485 | """
.. Copyright (c) 2014, 2015 Marshall Farrier
license http://opensource.org/licenses/MIT
Common - generic functions (:mod:`pynance.common`)
==================================================
.. currentmodule:: pynance.common
"""
import pandas as pd
def featurize(equity_data, n_sessions, **kwargs):
"""
... | mit |
herilalaina/scikit-learn | sklearn/decomposition/tests/test_factor_analysis.py | 112 | 3203 | # Author: Christian Osendorfer <osendorf@gmail.com>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD3
import numpy as np
from sklearn.utils.testing import assert_warns
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_greater
from sklearn.utils.testing im... | bsd-3-clause |
BillyLiggins/fitting | first.py | 1 | 7031 | import copy
import echidna
import echidna.output.plot as plot
import echidna.core.spectra as spectra
from echidna.output import store
import matplotlib.pyplot as plt
import argparse
import glob
import numpy as np
import os
def convertor(path):
flist=np.array(glob.glob(path))
for ntuple in flist:
os.sy... | mit |
jobelenus/thegreco | ignore/tracegen.py | 1 | 1364 | #!/usr/bin/env python
# vim:ts=4:sts=4:sw=4:et:wrap:ai:fileencoding=utf-8:
import collections
#import matplotlib.pyplot as plt
factor = 1/4
class TraceGenerator():
def __init__(self):
fname='/Users/jobelenus/work/thegreco/cpu.entries'
self.fname = fname
with open(self.fname) as ... | gpl-3.0 |
seckcoder/lang-learn | python/sklearn/sklearn/decomposition/tests/test_kernel_pca.py | 1 | 7069 | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_raises
from sklearn.decomposition import PCA, KernelPCA
from sklearn.datasets import make_circles
from sklearn.linear_model i... | unlicense |
fzalkow/scikit-learn | sklearn/linear_model/tests/test_omp.py | 272 | 7752 | # Author: Vlad Niculae
# Licence: BSD 3 clause
import numpy as np
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equa... | bsd-3-clause |
mining/mining | mining/models/cube.py | 4 | 3819 | # -*- coding: utf-8 -*-
import gc
import pandas
from datetime import datetime
from pandas import DataFrame
from sqlalchemy import create_engine
from sqlalchemy.sql import text
from sqlalchemy.orm import sessionmaker
from mining.utils import conf, log_it
from mining.utils._pandas import fix_render
from mining.db impo... | mit |
poojavade/Genomics_Docker | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/ipython-2.2.0-py2.7.egg/IPython/testing/iptestcontroller.py | 7 | 21202 | # -*- coding: utf-8 -*-
"""IPython Test Process Controller
This module runs one or more subprocesses which will actually run the IPython
test suite.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2009-2011 The IPython Development Team
#
# Distributed under the t... | apache-2.0 |
pprett/scikit-learn | sklearn/neural_network/rbm.py | 46 | 12291 | """Restricted Boltzmann Machine
"""
# Authors: Yann N. Dauphin <dauphiya@iro.umontreal.ca>
# Vlad Niculae
# Gabriel Synnaeve
# Lars Buitinck
# License: BSD 3 clause
import time
import numpy as np
import scipy.sparse as sp
from ..base import BaseEstimator
from ..base import TransformerMixi... | bsd-3-clause |
yavalvas/yav_com | build/matplotlib/lib/mpl_examples/widgets/slider_demo.py | 13 | 1179 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons
fig, ax = plt.subplots()
plt.subplots_adjust(left=0.25, bottom=0.25)
t = np.arange(0.0, 1.0, 0.001)
a0 = 5
f0 = 3
s = a0*np.sin(2*np.pi*f0*t)
l, = plt.plot(t,s, lw=2, color='red')
plt.axis([0, 1, -10, 10])
a... | mit |
heliopython/heliopy | doc/source/conf.py | 1 | 11504 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
# heliopy documentation build configuration file, created by
# sphinx-quickstart
#
# 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 c... | gpl-3.0 |
tfwillems/STRValidator | pedigree_analysis.py | 1 | 23183 | import matplotlib as mpl
mpl.use('Agg')
import collections
import sys
import numpy
import matplotlib.pyplot as plt
import vcf
from matplotlib.backends.backend_pdf import PdfPages
from fractions import Fraction
class TRIO:
def __init__(self, child, mother, father):
self.child = child
self.mother =... | gpl-3.0 |
DTOcean/dtocean-core | tests/test_data_definitions_xgrid2d.py | 1 | 4013 | import pytest
import numpy as np
import matplotlib.pyplot as plt
from aneris.control.factory import InterfaceFactory
from dtocean_core.core import (AutoFileInput,
AutoFileOutput,
AutoPlot,
Core)
from dtocean_core.data import ... | gpl-3.0 |
aajtodd/zipline | tests/risk/answer_key.py | 39 | 11989 | #
# Copyright 2014 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | apache-2.0 |
thp44/delphin_6_automation | data_process/2d_1d/archieve/temperature.py | 1 | 18075 | __author__ = "Christian Kongsgaard"
__license__ = 'MIT'
# -------------------------------------------------------------------------------------------------------------------- #
# IMPORTS
# Modules
import matplotlib.pyplot as plt
import numpy as np
import os
import datetime
import matplotlib.dates as mdates
import pan... | mit |
BiaDarkia/scikit-learn | examples/semi_supervised/plot_label_propagation_digits_active_learning.py | 33 | 4174 | """
========================================
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 |
stharrold/ARCHIVED_bench_fastq | bench_fastq/utils.py | 2 | 15946 | #!/usr/bin/env python
"""Utils to parse the terminal output from bench_compress.sh
"""
from __future__ import print_function, division, absolute_import
import os
import sys
import json
import datetime as dt
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def parse_elapsed(elapsed):
"""Pars... | mit |
ESMG/ESMG-configs | CCS1/plot_vort.py | 1 | 2295 | import numpy as np
import netCDF4
import os
import sys
import subprocess
import pyroms
from pyroms_toolbox import jday2date
from mpl_toolkits.basemap import Basemap
import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime
# draw line around map projection limb.
# color background of map projec... | gpl-3.0 |
mrcslws/htmresearch | projects/thing_classification/thing_convergence.py | 3 | 13625 | # Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2016, Numenta, Inc. Unless you have an agreement
# with Numenta, Inc., for a separate license for this software code, the
# following terms and conditions apply:
#
# This program is free software: you can redistribute it and/or modify
# it under the ... | agpl-3.0 |
GuessWhoSamFoo/pandas | pandas/tests/frame/conftest.py | 1 | 5594 | import numpy as np
import pytest
from pandas import DataFrame, NaT, compat, date_range
import pandas.util.testing as tm
@pytest.fixture
def float_frame():
"""
Fixture for DataFrame of floats with index of unique strings
Columns are ['A', 'B', 'C', 'D'].
"""
return DataFrame(tm.getSeriesData())
... | bsd-3-clause |
r-mart/scikit-learn | sklearn/manifold/tests/test_t_sne.py | 162 | 9771 | import sys
from sklearn.externals.six.moves import cStringIO as StringIO
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_less
from sklearn.utils.testing import assert_raises_regexp
... | bsd-3-clause |
anderson1008/NOCulator | hring/src/Script/my_print.py | 1 | 8437 | #!/usr/bin/python
import sys
import os
import re
import fnmatch
import string
import matplotlib.pyplot as plt
def print_period(stat):
# use to profile the application running solo.
# stat is an iterator or array
i = 0
for item in stat:
plt.plot(item, label=str(i))
p... | mit |
gfyoung/pandas | pandas/tests/arrays/integer/test_function.py | 5 | 6401 | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
@pytest.mark.parametrize("ufunc", [np.abs, np.sign])
# np.sign emits a warning with nans, <https://github.com/numpy/numpy/issues/15127>
@pytest.mark.filterwarnings("ignore:invalid value enco... | bsd-3-clause |
nolanliou/tensorflow | tensorflow/contrib/learn/python/learn/estimators/kmeans.py | 15 | 10904 | # 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 |
abretaud/tools-iuc | tools/heinz/heinz_scoring.py | 21 | 3661 | #!/usr/bin/env python
"""Calculate scores for Heinz.
This script transform a p-value into a score:
1. Use alpha and lambda to calculate a threshold P-value.
2. Calculate a score based on each P-value by alpha and the threshold.
For more details, please refer to the paper doi:10.1093/bioinformatics/btn161
Inp... | mit |
MechCoder/scikit-learn | examples/neighbors/plot_kde_1d.py | 60 | 5120 | """
===================================
Simple 1D Kernel Density Estimation
===================================
This example uses the :class:`sklearn.neighbors.KernelDensity` class to
demonstrate the principles of Kernel Density Estimation in one dimension.
The first plot shows one of the problems with using histogram... | bsd-3-clause |
mjgrav2001/scikit-learn | benchmarks/bench_plot_ward.py | 290 | 1260 | """
Benchmark scikit-learn's Ward implement compared to SciPy's
"""
import time
import numpy as np
from scipy.cluster import hierarchy
import pylab as pl
from sklearn.cluster import AgglomerativeClustering
ward = AgglomerativeClustering(n_clusters=3, linkage='ward')
n_samples = np.logspace(.5, 3, 9)
n_features = n... | bsd-3-clause |
gingi99/research_dr | python/MLEM2/discrimination.py | 1 | 12551 | # coding: utf-8
# python 3.5
import sys
import os
sys.path.append('/Users/ooki/git/research_dr/python/MLEM2')
sys.path.append(os.path.dirname(os.path.abspath("__file__"))+'/../MLEM2')
from sklearn.metrics import accuracy_score
import copy
import importlib
import mlem2
import LERS
importlib.reload(mlem2)
importlib.rel... | mit |
istellartech/OpenGoddard | examples/11_Polar_TSTO_Taiki.py | 1 | 19117 | # -*- coding: utf-8 -*-
# Copyright 2017 Interstellar Technologies Inc. All Rights Reserved.
from __future__ import print_function
import numpy as np
from scipy import interpolate
import matplotlib.pyplot as plt
from OpenGoddard.optimize import Problem, Guess, Condition, Dynamics
class Rocket:
# Atmosphere Param... | mit |
algorithmic-music-exploration/amen | amen/timing.py | 1 | 3596 | #!/usr/bin/env python
'''Timing interface'''
from bisect import bisect_left, bisect_right
import numpy as np
import pandas as pd
import librosa
class TimeSlice(object):
"""
A slice of time: has a start time, a duration, and a reference to an Audio object.
"""
def __init__(self, time, duration, au... | bsd-2-clause |
akionakamura/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 |
ndingwall/scikit-learn | sklearn/datasets/_california_housing.py | 11 | 6174 | """California housing dataset.
The original database is available from StatLib
http://lib.stat.cmu.edu/datasets/
The data contains 20,640 observations on 9 variables.
This dataset contains the average house value as target variable
and the following input variables (features): average income,
housing average ag... | bsd-3-clause |
jorik041/scikit-learn | examples/svm/plot_svm_regression.py | 249 | 1451 | """
===================================================================
Support Vector Regression (SVR) using linear and non-linear kernels
===================================================================
Toy example of 1D regression using linear, polynomial and RBF kernels.
"""
print(__doc__)
import numpy as np
... | bsd-3-clause |
nelango/ViralityAnalysis | model/lib/pandas/tests/test_msgpack/test_extension.py | 9 | 2254 | from __future__ import print_function
import array
import pandas.msgpack as msgpack
from pandas.msgpack import ExtType
def test_pack_ext_type():
def p(s):
packer = msgpack.Packer()
packer.pack_ext_type(0x42, s)
return packer.bytes()
assert p(b'A') == b'\xd4\x42A' # fixe... | mit |
bchappet/dnfpy | src/dnfpyUtils/stats/clusterMap.py | 1 | 7473 | from dnfpy.core.map2D import Map2D
import numpy as np
from sklearn.cluster import DBSCAN
import scipy.spatial.distance as dist
from dnfpyUtils.stats.statistic import Statistic
class ClusterMap(Statistic):
"""
Params:
"continuity" : float if different of 0.0, we assume that the cluster are continuous
... | gpl-2.0 |
kai5263499/networkx | examples/graph/unix_email.py | 62 | 2683 | #!/usr/bin/env python
"""
Create a directed graph, allowing multiple edges and self loops, from
a unix mailbox. The nodes are email addresses with links
that point from the sender to the recievers. The edge data
is a Python email.Message object which contains all of
the email message data.
This example shows the po... | bsd-3-clause |
amolkahat/pandas | pandas/util/_validators.py | 4 | 13052 | """
Module that contains many useful utilities
for validating data or function arguments
"""
import warnings
from pandas.core.dtypes.common import is_bool
def _check_arg_length(fname, args, max_fname_arg_count, compat_args):
"""
Checks whether 'args' has length of at most 'compat_args'. Raises
a TypeErro... | bsd-3-clause |
CallaJun/hackprince | indico/matplotlib/gridspec.py | 10 | 15668 | """
:mod:`~matplotlib.gridspec` is a module which specifies the location
of the subplot in the figure.
``GridSpec``
specifies the geometry of the grid that a subplot will be
placed. The number of rows and number of columns of the grid
need to be set. Optionally, the subplot layout parameter... | lgpl-3.0 |
jayantk/pnp | experiments/dipart/scripts/visualize/generate_heatmap.py | 1 | 1411 | #!/usr/bin/python
# Generate heatmap of points
import numpy as np
import seaborn as sns
sns.set()
import matplotlib.pyplot as plt
from heatmap_data import *
# image_name=
# im = plt.imread(image_name);
# implot = plt.imshow(im);
# Load the example flights dataset and conver to long-form
# flights_long = sns.load_da... | apache-2.0 |
treycausey/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 |
vorwerkc/pymatgen | pymatgen/analysis/chemenv/coordination_environments/voronoi.py | 5 | 44209 | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
This module contains the object used to describe the possible bonded atoms based on a Voronoi analysis.
"""
__author__ = "David Waroquiers"
__copyright__ = "Copyright 2012, The Materials Project"
__credit... | mit |
djgagne/scikit-learn | sklearn/linear_model/tests/test_randomized_l1.py | 214 | 4690 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD 3 clause
import numpy as np
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.linear_model.randomized_l1 i... | bsd-3-clause |
adit-chandra/tensorflow | tensorflow/lite/experimental/micro/examples/micro_speech/apollo3/compare_1k.py | 11 | 5011 | # Copyright 2018 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 |
costypetrisor/scikit-learn | sklearn/gaussian_process/tests/test_gaussian_process.py | 267 | 6813 | """
Testing for Gaussian Process module (sklearn.gaussian_process)
"""
# Author: Vincent Dubourg <vincent.dubourg@gmail.com>
# Licence: BSD 3 clause
from nose.tools import raises
from nose.tools import assert_true
import numpy as np
from sklearn.gaussian_process import GaussianProcess
from sklearn.gaussian_process ... | bsd-3-clause |
triskadecaepyon/pyworkout-toolkit | pyworkout/parsers/tcxtools.py | 1 | 4560 | """
Tools to process TCX files,
specifically for parsing and
converting to other formats.
"""
import numpy as np
import pandas as pd
from lxml import objectify
import dateutil.parser
import logging
TPXNS = "{http://www.garmin.com/xmlschemas/ActivityExtension/v2}TPX"
LXNS = "{http://www.garmin.com/xmlschemas/ActivityE... | bsd-3-clause |
cdondrup/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 |
matthew-tucker/mne-python | mne/viz/tests/test_topo.py | 7 | 4728 | # Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis Engemann <denis.engemann@gmail.com>
# Martin Luessi <mluessi@nmr.mgh.harvard.edu>
# Eric Larson <larson.eric.d@gmail.com>
#
# License: Simplified BSD
import os.path as op
import warnings
from collections import n... | bsd-3-clause |
amitsela/beam | sdks/python/apache_beam/examples/complete/juliaset/juliaset/juliaset.py | 9 | 4504 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | apache-2.0 |
simon-pepin/scikit-learn | sklearn/ensemble/tests/test_base.py | 284 | 1328 | """
Testing for the base module (sklearn.ensemble.base).
"""
# Authors: Gilles Louppe
# License: BSD 3 clause
from numpy.testing import assert_equal
from nose.tools import assert_true
from sklearn.utils.testing import assert_raise_message
from sklearn.datasets import load_iris
from sklearn.ensemble import BaggingCla... | bsd-3-clause |
ElessarWebb/dummy | src/dummy/viewer/formatting/plotformatters.py | 1 | 2788 | from dummy.viewer.formatting import ResultFormatter, Formatter
import logging
logger = logging.getLogger( __name__ )
try:
import pylab
import numpy
@Formatter.register( 'plot' )
class PlotFormatter( ResultFormatter ):
def __init__( self, *args, **kwargs ):
super( PlotFormatter, self ).__init__( self, *args... | mit |
chriscrosscutler/scikit-image | doc/ext/plot_directive.py | 89 | 20530 | """
A special directive for generating a matplotlib plot.
.. warning::
This is a hacked version of plot_directive.py from Matplotlib.
It's very much subject to change!
Usage
-----
Can be used like this::
.. plot:: examples/example.py
.. plot::
import matplotlib.pyplot as plt
plt.plot... | bsd-3-clause |
maxyeg/beaker-notebook | plugin/ipythonPlugins/src/dist/python3/beaker_runtime3.py | 5 | 18118 | # Copyright 2014 TWO SIGMA OPEN SOURCE, 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 agre... | apache-2.0 |
pietroquaglio/elephant | elephant/test/test_pandas_bridge.py | 2 | 113211 | # -*- coding: utf-8 -*-
"""
Unit tests for the pandas bridge module.
:copyright: Copyright 2014-2016 by the Elephant team, see AUTHORS.txt.
:license: Modified BSD, see LICENSE.txt for details.
"""
from __future__ import division, print_function
import unittest
from itertools import chain
from neo.test.generate_data... | bsd-3-clause |
leogulus/pisco_pipeline | pisco_photometry_all_2019.py | 1 | 76497 | import sys, os, re, yaml, subprocess, shlex, FITS_tools
import pandas as pd
import numpy as np
import pickle
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import image
import matplotlib.cm as cm
import matplotlib.image as mpimg
from scipy.optimize import curve_fit
import scipy.integrate as integr... | mit |
burakbayramli/classnotes | stat/stat_065_powerlaw/powerlaw.py | 2 | 106244 | #The MIT License (MIT)
#
#Copyright (c) 2013 Jeff Alstott
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, modify, me... | gpl-3.0 |
kdheepak89/RTDT | RTDT/transit.py | 1 | 13035 | from __future__ import print_function
from google.transit import gtfs_realtime_pb2
import requests
import pandas as pd
from io import BytesIO
import zipfile
import os
import os.path
import datetime
import math
UTC_OFFSET = int(os.getenv('OFFSET', 7))
DEFAULT_LOCATION = {u'lat': 39.7433814, u'lng': -104.98910989999999}... | bsd-3-clause |
yyjiang/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 |
MobleyLab/SAMPL6 | host_guest/Analysis/Scripts/analyze_sampling.py | 1 | 116143 | #!/usr/bin/env python
# =============================================================================
# GLOBAL IMPORTS
# =============================================================================
import collections
import copy
import itertools
import json
import math
import os
import numpy as np
import pandas as ... | mit |
ClimbsRocks/scikit-learn | examples/linear_model/plot_sgd_comparison.py | 112 | 1819 | """
==================================
Comparing various online solvers
==================================
An example showing how different online solvers perform
on the hand-written digits dataset.
"""
# Author: Rob Zinkov <rob at zinkov dot com>
# License: BSD 3 clause
import numpy as np
import matplotlib.pyplot a... | bsd-3-clause |
hainm/statsmodels | examples/python/robust_models_1.py | 25 | 8588 |
## M-Estimators for Robust Linear Modeling
from __future__ import print_function
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
import statsmodels.api as sm
# * An M-estimator minimizes the function
#
# $$Q(e_i, \rho) = \sum_i~\rho \left (\frac{e_i}{s}\right )$$
#
# where $\rho$ is a... | bsd-3-clause |
Unidata/MetPy | v0.6/_downloads/Find_Natural_Neighbors_Verification.py | 3 | 2729 | # Copyright (c) 2016 MetPy Developers.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""
Find Natural Neighbors Verification
===================================
Finding natural neighbors in a triangulation
A triangle is a natural neighbor of a point if that point i... | bsd-3-clause |
ijat/Hotspot-PUTRA-Auto-login | PyInstaller-3.2/PyInstaller/hooks/hook-IPython.py | 1 | 1076 | #-----------------------------------------------------------------------------
# Copyright (c) 2013-2016, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License with exception
# for distributing bootloader.
#
# The full license is in the file COPYING.txt, distributed with this s... | gpl-3.0 |
chaubold/hytra | scripts/train_transition_classifier.py | 1 | 17108 | # pythonpath modification to make hytra and empryonic available
# for import without requiring it to be installed
from __future__ import print_function, absolute_import, nested_scopes, generators, division, with_statement, unicode_literals
import os
import sys
sys.path.insert(0, os.path.abspath('..'))
# standard impor... | mit |
louisLouL/pair_trading | capstone_env/lib/python3.6/site-packages/pandas/compat/__init__.py | 6 | 11686 | """
compat
======
Cross-compatible functions for Python 2 and 3.
Key items to import for 2/3 compatible code:
* iterators: range(), map(), zip(), filter(), reduce()
* lists: lrange(), lmap(), lzip(), lfilter()
* unicode: u() [u"" is a syntax error in Python 3.0-3.2]
* longs: long (int in Python 3)
* callable
* iterab... | mit |
Brett777/Predict-Risk | ApprovalModel.py | 1 | 1979 |
# coding: utf-8
# In[ ]:
import h2o
import pandas as pd
# initialize the model scoring server
h2o.init(nthreads=1,max_mem_size=1, start_h2o=True, strict_version_check = False)
def approve_loan(Loan_Amount,Term,Interest_Rate,Employment_Years,Home_Ownership,Annual_Income,Verification_Status,Loan_Purpose,State,
... | apache-2.0 |
datacommonsorg/data | scripts/india_census/common/generic_base.py | 1 | 5322 | # Copyright 2020 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | apache-2.0 |
bundgus/python-playground | matplotlib-playground/examples/event_handling/looking_glass.py | 1 | 1280 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
x, y = np.random.rand(2, 200)
fig, ax = plt.subplots()
circ = patches.Circle((0.5, 0.5), 0.25, alpha=0.8, fc='yellow')
ax.add_patch(circ)
ax.plot(x, y, alpha=0.2)
line, = ax.plot(x, y, alpha=1.0, clip_path=circ)
class EventHand... | mit |
zbarge/zeex | zeex/core/views/actions/merge_purge.py | 1 | 33284 | """
MIT License
Copyright (c) 2016 Zeke Barge
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, di... | mit |
heliazandi/volttron-applications | pnnl/PGnE/pgne/agent.py | 3 | 12179 | # -*- coding: utf-8 -*- {{{
# vim: set fenc=utf-8 ft=python sw=4 ts=4 sts=4 et:
# Copyright (c) 2016, Battelle Memorial Institute
# 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. Redistri... | bsd-3-clause |
tomevans/pyphotom | photom_class.py | 1 | 14267 | import numpy as np
import matplotlib.pyplot as plt
import pdb
import os
import cPickle
import numpy as np
import shutil
from photom import photom_inspect, photom_reduce, photom_absolute, photom_relative, photom_checks, photom_optimise
homestr = os.path.expanduser( '~' )
class photom():
"""
"""
def __init_... | gpl-2.0 |
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