repo_name stringlengths 6 67 | path stringlengths 5 185 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 1.02k 962k | license stringclasses 15
values |
|---|---|---|---|---|---|
mtaufen/test-infra | mungegithub/issue-labeler/simple_app.py | 20 | 4662 | #!/usr/bin/env python
# Copyright 2016 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | apache-2.0 |
minireference/noBSLAnotebooks | aspynb/Testing.py | 1 | 1948 | def cells():
'''
# Testing SymPy and plot helpers are working
'''
'''
'''
# setup SymPy
from sympy import *
x, y, z, t = symbols('x y z t')
init_printing()
# download plot_helpers.py for use in colab
if 'google.colab' in str(get_ipython()):
print('Downloading p... | mit |
Fkawala/gcloud-python | docs/conf.py | 4 | 9557 | # Copyright 2016 Google 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 writing, ... | apache-2.0 |
astocko/statsmodels | statsmodels/base/model.py | 25 | 76781 | from __future__ import print_function
from statsmodels.compat.python import iterkeys, lzip, range, reduce
import numpy as np
from scipy import stats
from statsmodels.base.data import handle_data
from statsmodels.tools.tools import recipr, nan_dot
from statsmodels.stats.contrast import ContrastResults, WaldTestResults
f... | bsd-3-clause |
valexandersaulys/prudential_insurance_kaggle | venv/lib/python2.7/site-packages/pandas/core/groupby.py | 9 | 140196 | import types
from functools import wraps
import numpy as np
import datetime
import collections
import warnings
import copy
from pandas.compat import(
zip, builtins, range, long, lzip,
OrderedDict, callable, filter, map
)
from pandas import compat
from pandas.core.base import PandasObject
from pandas.core.cate... | gpl-2.0 |
vigilv/scikit-learn | examples/model_selection/plot_learning_curve.py | 250 | 4171 | """
========================
Plotting Learning Curves
========================
On the left side the learning curve of a naive Bayes classifier is shown for
the digits dataset. Note that the training score and the cross-validation score
are both not very good at the end. However, the shape of the curve can be found
in ... | bsd-3-clause |
techtonik/numpy | doc/example.py | 81 | 3581 | """This is the docstring for the example.py module. Modules names should
have short, all-lowercase names. The module name may have underscores if
this improves readability.
Every module should have a docstring at the very top of the file. The
module's docstring may extend over multiple lines. If your docstring doe... | bsd-3-clause |
cycleuser/GeoPython | geopytool/setup.py | 2 | 1631 | #!/usr/bin/env python
#coding:utf-8
import os
from distutils.core import setup
from geopytool.ImportDependence import *
from geopytool.CustomClass import *
here = os.path.abspath(os.path.dirname(__file__))
try:
README = open(os.path.join(here, 'README.md')).read()
except:
README = 'https://github.com/GeoPyT... | gpl-3.0 |
ZenDevelopmentSystems/scikit-learn | examples/linear_model/plot_omp.py | 385 | 2263 | """
===========================
Orthogonal Matching Pursuit
===========================
Using orthogonal matching pursuit for recovering a sparse signal from a noisy
measurement encoded with a dictionary
"""
print(__doc__)
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import OrthogonalM... | bsd-3-clause |
zorojean/scikit-learn | examples/feature_stacker.py | 246 | 1906 | """
=================================================
Concatenating multiple feature extraction methods
=================================================
In many real-world examples, there are many ways to extract features from a
dataset. Often it is beneficial to combine several methods to obtain good
performance. Th... | bsd-3-clause |
inesc-tec-robotics/robot_localization_tools | scripts/path_velocity_and_acceleration_plotter.py | 2 | 12044 | #!/usr/bin/env python
# coding=UTF-8
# Requires https://github.com/moble/quaternion
import argparse
import ntpath
import sys
import math
import numpy as np
import numpy.linalg
import matplotlib.pyplot as plt
import matplotlib.ticker as tk
import quaternion
def str2bool(v):
return v.lower() in ("yes", "true", "t... | bsd-3-clause |
IGITUGraz/spore-nest-module | examples/center_out_showcase/python/snn_utils/plotter/backends/mpl.py | 3 | 1721 | import logging
import matplotlib.pyplot as plt
import snn_utils.plotter as plotter
logger = logging.getLogger(__name__)
def configure_matplotlib():
plt.ion() # interactive mode
plt.rcParams['figure.facecolor'] = 'white'
plt.rcParams['axes.facecolor'] = 'white'
plt.switch_backend('TkAgg')
class M... | gpl-2.0 |
cgarrard/osgeopy-code | Chapter13/chapter13.py | 1 | 7575 | import os
import numpy as np
from osgeo import gdal, ogr
import matplotlib.pyplot as plt
import mapnik
# Set this variable to your osgeopy-data directory so that the following
# examples will work without editing. We'll use the os.path.join() function
# to combine this directory and the filenames to make a complete p... | mit |
luyaozou/PySpec | PySpec.py | 1 | 24448 | #! /usr/bin/env python
#-*- coding: utf-8 -*-
"""
Integrated Python GUI for spectral analysis.
Designed functionalities:
> Plot spectra (x,y) file
> Fit spectral lines to common lineshape functions (Gaussian/Lorentzian/Voigt)
> Baseline removal
> Peak selection
> Catalog simulation (JPL/CDMS)
... | gpl-3.0 |
crichardson17/starburst_atlas | Low_resolution_sims/DustFree_LowRes/Padova_cont_supersolar_5/MoreLines.py | 3 | 7227 | import csv
import matplotlib.pyplot as plt
from numpy import *
import scipy.interpolate
import math
from pylab import *
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
import matplotlib.patches as patches
from matplotlib.path import Path
import os
# --------------------------------------------------... | gpl-2.0 |
elijah513/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 |
toastedcornflakes/scikit-learn | examples/cluster/plot_digits_linkage.py | 369 | 2959 | """
=============================================================================
Various Agglomerative Clustering on a 2D embedding of digits
=============================================================================
An illustration of various linkage option for agglomerative clustering on
a 2D embedding of the di... | bsd-3-clause |
PythonCharmers/bokeh | bokeh/charts/_data_adapter.py | 43 | 8802 | """This is the Bokeh charts interface. It gives you a high level API to build
complex plot is a simple way.
This is the ChartObject class, a minimal prototype class to build more chart
types on top of it. It provides the mechanisms to support the shared chained
methods.
"""
#-------------------------------------------... | bsd-3-clause |
adrienpacifico/openfisca-france-data | openfisca_france_data/input_data_builders/build_eipp_survey_data/eipp_utils.py | 3 | 8464 | # -*- coding: utf-8 -*-
# OpenFisca -- A versatile microsimulation software
# By: OpenFisca Team <contact@openfisca.fr>
#
# Copyright (C) 2011, 2012, 2013, 2014, 2015 OpenFisca Team
# https://github.com/openfisca
#
# This file is part of OpenFisca.
#
# OpenFisca is free software; you can redistribute it and/or modify... | agpl-3.0 |
shusenl/scikit-learn | examples/mixture/plot_gmm.py | 248 | 2817 | """
=================================
Gaussian Mixture Model Ellipsoids
=================================
Plot the confidence ellipsoids of a mixture of two Gaussians with EM
and variational Dirichlet process.
Both models have access to five components with which to fit the
data. Note that the EM model will necessari... | bsd-3-clause |
MariaRigaki/kaggle | africa/predict.py | 1 | 1802 | __author__ = 'marik0'
#!/usr/bin/env python
# coding: utf-8
"""
prediction code for regression
"""
import sys
import numpy as np
import pandas as pd
from pylearn2.utils import serial
from theano import tensor as T
from theano import function
if __name__ == "__main__":
try:
model_path = sys.argv[1]
... | mit |
yutiansut/QUANTAXIS | QUANTAXIS/QAApplication/OldBacktest.py | 2 | 3257 | # @Hakase
import QUANTAXIS as QA
import numpy as np
import pandas as pd
import datetime
import sys
import random
class backtest():
"""依据回测场景的建模
"""
def __init__(self, start_time='2015-01-01', end_time='2018-09-24', init_cash=500000, code='RBL8', frequence=QA.FREQUENCE.FIFTEEN_MIN):
self.start_ti... | mit |
cl4rke/scikit-learn | examples/tree/plot_iris.py | 271 | 2186 | """
================================================================
Plot the decision surface of a decision tree on the iris dataset
================================================================
Plot the decision surface of a decision tree trained on pairs
of features of the iris dataset.
See :ref:`decision tree ... | bsd-3-clause |
allisony/aplpy | aplpy/labels.py | 2 | 16255 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function, division, unicode_literals
import warnings
import numpy as np
import matplotlib.pyplot as mpl
from matplotlib.font_manager import FontProperties
from . import wcs_util
from . import angle_util as au
from .decorators import auto_refresh,... | mit |
datapythonista/pandas | pandas/tests/indexes/object/test_indexing.py | 3 | 4370 | import numpy as np
import pytest
import pandas as pd
from pandas import Index
import pandas._testing as tm
class TestGetLoc:
def test_get_loc_raises_object_nearest(self):
index = Index(["a", "c"])
with pytest.raises(TypeError, match="unsupported operand type"):
index.get_loc("a", meth... | bsd-3-clause |
alekz112/statsmodels | statsmodels/datasets/cpunish/data.py | 25 | 2597 | """US Capital Punishment dataset."""
__docformat__ = 'restructuredtext'
COPYRIGHT = """Used with express permission from the original author,
who retains all rights."""
TITLE = __doc__
SOURCE = """
Jeff Gill's `Generalized Linear Models: A Unified Approach`
http://jgill.wustl.edu/research/books.html
"""... | bsd-3-clause |
sld/computer_vision_workshop | kaggle/MNIST_recognizer/digit_recognizer.py | 1 | 3248 | # -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import numpy.random as random
import matplotlib.pyplot as plt
from sklearn import neighbors, datasets, cross_validation
import cv2
import csv
import sys
class DigitClassifier:
def __init__(self, data_source, k=10):
self.data = data_source.data()
... | mit |
sobomax/virtualbox_64bit_edd | src/VBox/ValidationKit/testmanager/webui/wuihlpgraph.py | 2 | 4253 | # -*- coding: utf-8 -*-
# $Id: wuihlpgraph.py $
"""
Test Manager Web-UI - Graph Helpers.
"""
__copyright__ = \
"""
Copyright (C) 2012-2015 Oracle Corporation
This file is part of VirtualBox Open Source Edition (OSE), as
available from http://www.virtualbox.org. This file is free software;
you can redistribute it and... | gpl-2.0 |
hitszxp/scikit-learn | sklearn/learning_curve.py | 28 | 13300 | """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
fr... | bsd-3-clause |
zorroblue/scikit-learn | examples/svm/plot_iris.py | 65 | 3742 | """
==================================================
Plot different SVM classifiers in the iris dataset
==================================================
Comparison of different linear SVM classifiers on a 2D projection of the iris
dataset. We only consider the first 2 features of this dataset:
- Sepal length
- Se... | bsd-3-clause |
lazywei/scikit-learn | sklearn/preprocessing/tests/test_imputation.py | 213 | 11911 | 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.utils.testing import assert_false
from sklearn.utils.testing import assert_true
from sklearn.preprocessing.imputa... | bsd-3-clause |
raghavrv/scikit-learn | sklearn/utils/tests/test_testing.py | 7 | 8098 | import warnings
import unittest
import sys
import numpy as np
from scipy import sparse
from sklearn.utils.testing import (
assert_raises,
assert_less,
assert_greater,
assert_less_equal,
assert_greater_equal,
assert_warns,
assert_no_warnings,
assert_equal,
set_random_state,
asser... | bsd-3-clause |
karstenw/nodebox-pyobjc | examples/Extended Application/matplotlib/examples/statistics/multiple_histograms_side_by_side.py | 1 | 3066 | """
==========================================
Producing multiple histograms side by side
==========================================
This example plots horizontal histograms of different samples along
a categorical x-axis. Additionally, the histograms are plotted to
be symmetrical about their x-position, thus making t... | mit |
glennq/scikit-learn | examples/ensemble/plot_feature_transformation.py | 115 | 4327 | """
===============================================
Feature transformations with ensembles of trees
===============================================
Transform your features into a higher dimensional, sparse space. Then
train a linear model on these features.
First fit an ensemble of trees (totally random trees, a rand... | bsd-3-clause |
paulbrodersen/netgraph | netgraph/_interactive_variants.py | 1 | 23119 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
InteractiveGraph variants.
"""
import numpy as np
import matplotlib.pyplot as plt
import itertools
from functools import partial
from matplotlib.patches import Rectangle
try:
from ._main import InteractiveGraph, BASE_SCALE
from ._line_supercover import line_... | gpl-3.0 |
GGoussar/scikit-image | doc/examples/transform/plot_register_translation.py | 14 | 2717 | """
=====================================
Cross-Correlation (Phase Correlation)
=====================================
In this example, we use phase correlation to identify the relative shift
between two similar-sized images.
The ``register_translation`` function uses cross-correlation in Fourier space,
optionally emp... | bsd-3-clause |
ahealy19/F-IDE-2016 | make_fig1.py | 1 | 1660 | import numpy as np
import matplotlib.pyplot as plt
from pandas import DataFrame
"""
read a csv file and render a stacked bar chart showing each prover's
results for 60 second timeout
Andrew Healy, Aug. 2016
"""
df = DataFrame.from_csv('fig1_data.csv')
provers = df.index
N = len(provers)
valids = list(df['Valid'])
... | apache-2.0 |
klaus385/openpilot | panda/tests/tucan_loopback.py | 2 | 3331 | #!/usr/bin/env python
from __future__ import print_function
import os
import sys
import time
import random
import argparse
from hexdump import hexdump
from itertools import permutations
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), ".."))
from panda import Panda
def get_test_string():
r... | mit |
M-R-Houghton/euroscipy_2015 | bokeh/bokeh/charts/builder/tests/test_dot_builder.py | 33 | 3939 | """ This is the Bokeh charts testing interface.
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2014, Continuum Analytics, Inc. All rights reserved.
#
# Powered by the Bokeh Development Team.
#
# The full license is in the file LICENSE.txt, distributed with thi... | mit |
cjayb/mne-python | examples/inverse/plot_source_space_snr.py | 3 | 3461 | # -*- coding: utf-8 -*-
"""
===============================
Computing source space SNR
===============================
This example shows how to compute and plot source space SNR as in [1]_.
"""
# Author: Padma Sundaram <tottochan@gmail.com>
# Kaisu Lankinen <klankinen@mgh.harvard.edu>
#
# License: BSD (3-clau... | bsd-3-clause |
syedjafri/ThinkStats2 | code/analytic.py | 69 | 6265 | """This file contains code used in "Think Stats",
by Allen B. Downey, available from greenteapress.com
Copyright 2010 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
"""
from __future__ import print_function
import math
import numpy as np
import pandas
import nsfg
import thinkplot
import th... | gpl-3.0 |
OXPHOS/shogun | examples/undocumented/python/graphical/classifier_perceptron_graphical.py | 10 | 2302 | #!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
import latex_plot_inits
parameter_list = [[20, 5, 1., 1000, 1, None, 5], [100, 5, 1., 1000, 1, None, 10]]
def classifier_perceptron_graphical(n=100, distance=5, learn_rate=1., max_iter=1000, num_threads=1, seed=None, nperceptrons=5):
from shog... | gpl-3.0 |
stharrold/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 |
jdmcbr/geopandas | geopandas/io/tests/test_infer_schema.py | 2 | 8015 | from collections import OrderedDict
from shapely.geometry import (
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
)
import pandas as pd
import numpy as np
from geopandas import GeoDataFrame
from geopandas.io.file import infer_schema
# Credit: Polygons below come from M... | bsd-3-clause |
zrhans/pythonanywhere | w3/bns/bns.py | 1 | 14997 | #!/usr/bin/python3
#-*- coding:utf-8 -*-
"""
Created on Sat May 30 14:34:56 2015
@author: hans
"""
import os
import subprocess
import pandas as pd
import matplotlib
matplotlib.use('Agg')
#matplotlib.rcParams['font.family'] = 'sans-serif'
#matplotlib.rcParams['font.sans-serif'] = ['Tahoma']#,'Bitstream Vera Sans','Lu... | apache-2.0 |
jorge2703/scikit-learn | sklearn/datasets/tests/test_svmlight_format.py | 228 | 11221 | from bz2 import BZ2File
import gzip
from io import BytesIO
import numpy as np
import os
import shutil
from tempfile import NamedTemporaryFile
from sklearn.externals.six import b
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert... | bsd-3-clause |
CellModels/tyssue | tyssue/particles/point_cloud.py | 2 | 10119 | """Utilities to generate point clouds
The positions of the points are generated along the architecture
of the epithelium.
"""
from collections import abc
import numpy as np
import pandas as pd
from ..config.subdiv import bulk_spec
class EdgeSubdiv:
"""
Container class to ease discretisation along the edges
... | gpl-2.0 |
madjelan/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 |
alimuldal/numpy | numpy/core/code_generators/ufunc_docstrings.py | 9 | 90842 | """
Docstrings for generated ufuncs
The syntax is designed to look like the function add_newdoc is being
called from numpy.lib, but in this file add_newdoc puts the docstrings
in a dictionary. This dictionary is used in
numpy/core/code_generators/generate_umath.py to generate the docstrings
for the ufuncs in numpy.co... | bsd-3-clause |
feiyanzhandui/tware | vizdom/server.py | 2 | 5144 | #!/usr/bin/python
import json
import pandas as pd
import traceback
import uuid
from BaseHTTPServer import BaseHTTPRequestHandler
from BaseHTTPServer import HTTPServer
from csv import DictReader
from cache import Cache
from executor import BasicExecutor
from util import Timer
icd9s = [('infectious',1,140),
('... | apache-2.0 |
bcimontreal/bci_workshop | python/lsl-viewer.py | 1 | 6793 | #!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import butter, lfilter, lfilter_zi, firwin
from time import sleep
from pylsl import StreamInlet, resolve_byprop
from optparse import OptionParser
import seaborn as sns
from threading import Thread
sns.set(style="whitegrid")
par... | mit |
TomAugspurger/pandas | pandas/core/internals/construction.py | 1 | 23734 | """
Functions for preparing various inputs passed to the DataFrame or Series
constructors before passing them to a BlockManager.
"""
from collections import abc
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, Tuple, Union
import numpy as np
import numpy.ma as ma
from pandas._libs import lib
fro... | bsd-3-clause |
arokem/scipy | scipy/linalg/basic.py | 2 | 56439 | #
# Author: Pearu Peterson, March 2002
#
# w/ additions by Travis Oliphant, March 2002
# and Jake Vanderplas, August 2012
from __future__ import division, print_function, absolute_import
from warnings import warn
import numpy as np
from numpy import atleast_1d, atleast_2d
from .flinalg import get_flinalg... | bsd-3-clause |
boomsbloom/dtm-fmri | DTM/for_gensim/lib/python2.7/site-packages/sklearn/linear_model/bayes.py | 50 | 16145 | """
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... | mit |
pratapvardhan/scikit-learn | sklearn/utils/deprecation.py | 77 | 2417 | import warnings
__all__ = ["deprecated", ]
class deprecated(object):
"""Decorator to mark a function or class as deprecated.
Issue a warning when the function is called/the class is instantiated and
adds a warning to the docstring.
The optional extra argument will be appended to the deprecation mes... | bsd-3-clause |
themrmax/scikit-learn | sklearn/tree/tree.py | 11 | 50091 | """
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 |
jamestwebber/scipy | scipy/interpolate/ndgriddata.py | 2 | 7566 | """
Convenience interface to N-D interpolation
.. versionadded:: 0.9
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from .interpnd import LinearNDInterpolator, NDInterpolatorBase, \
CloughTocher2DInterpolator, _ndim_coords_from_arrays
from scipy.spatial import cKDTree
_... | bsd-3-clause |
RuthAngus/K2rotation | plots/raw_and_vbg.py | 1 | 3921 | import numpy as np
import matplotlib.pyplot as plt
from gatspy.periodic import LombScargle
import fitsio
import time
def raw_and_vbg():
plotpar = {'axes.labelsize': 12,
'text.fontsize': 18,
'legend.fontsize': 18,
'xtick.labelsize': 14,
'ytick.labelsize'... | mit |
mmilutinovic1313/zipline-with-algorithms | zipline/history/history_container.py | 18 | 33931 | #
# 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 |
aalmah/pylearn2 | pylearn2/cross_validation/dataset_iterators.py | 29 | 19389 | """
Cross-validation dataset iterators.
"""
__author__ = "Steven Kearnes"
__copyright__ = "Copyright 2014, Stanford University"
__license__ = "3-clause BSD"
import numpy as np
import warnings
try:
from sklearn.cross_validation import (KFold, StratifiedKFold, ShuffleSplit,
... | bsd-3-clause |
diharaw/EmoLib | scripts/preprocess/4_trim.py | 1 | 3138 | from __future__ import division
import pickle
import pandas as pd
import numpy as np
import librosa
import matplotlib.pyplot as plt
import thinkdsp
import thinkplot
import os
import sys
import glob
import shutil
from itertools import compress
from itertools import compress
from collections import Counter
from pydub imp... | mit |
KNMI/VERCE | verce-hpc-pe/src/test/rtxcorr/rtxcorr3.py | 2 | 28286 | from dispel4py.workflow_graph import WorkflowGraph
from dispel4py.provenance import *
from dispel4py.new.processor import *
import time
import random
import numpy
import traceback
from dispel4py.base import create_iterative_chain, GenericPE, ConsumerPE, IterativePE, SimpleFunctionPE
from dispel4py.new.simple_process i... | mit |
Robak23/forex_deep | Final/LSTM_model.py | 1 | 2901 |
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import functions as f
import os
import sys
nb_dir = os.getcwd()
if nb_dir not in sys.path:
sys.path.append(nb_dir)
# In[2]:
data = pd.read_csv("data/EURUSD_daily.csv", index_col='Date')
data.index = pd.to_datet... | gpl-3.0 |
china-quant/backtrader | backtrader/plot/plot.py | 1 | 24966 | #!/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 |
aborovin/trading-with-python | lib/extra.py | 77 | 2540 | '''
Created on Apr 28, 2013
Copyright: Jev Kuznetsov
License: BSD
'''
from __future__ import print_function
import sys
import urllib
import os
import xlrd # module for excel file reading
import pandas as pd
class ProgressBar:
def __init__(self, iterations):
self.iterations = iterations
... | bsd-3-clause |
eusoubrasileiro/fatiando_seismic | fatiando/seismic/utils.py | 1 | 4028 | r"""
Tools for seismic processing
**Auxiliary functions**
* :func:`~fatiando.seismic.utils.vrms`: Calculate RMS velocity from interval
thickness and velocity (horizontally layered model)
* :func:`~fatiando.seismic.utils.nmo`: Apply nmo correction on a CMP gather
* :func:`~fatiando.seismic.utils.plot_vnmo`: Draw nmo... | bsd-3-clause |
eranchetz/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/backends/__init__.py | 72 | 2225 |
import matplotlib
import inspect
import warnings
# ipython relies on interactive_bk being defined here
from matplotlib.rcsetup import interactive_bk
__all__ = ['backend','show','draw_if_interactive',
'new_figure_manager', 'backend_version']
backend = matplotlib.get_backend() # validates, to match all_bac... | agpl-3.0 |
sgenoud/scikit-learn | examples/plot_permutation_test_for_classification.py | 5 | 2319 | """
=================================================================
Test with permutations the significance of a classification score
=================================================================
In order to test if a classification score is significative a technique
in repeating the classification procedure aft... | bsd-3-clause |
toddheitmann/PetroPy | examples/wolfcamp_bulk.py | 1 | 8772 | """
=========================================
Wolfcamp Example - Bulk Process las files
=========================================
This example shows the full petrophysical workflow avaiable in PetroPy
for a folder of wolfcamp las file courtesy of University Lands Texas.
The workflow progresses in 3 iterations to edit... | mit |
oscarxie/tushare | tushare/datayes/basics.py | 14 | 3722 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Created on 2015年7月4日
@author: JimmyLiu
@QQ:52799046
"""
from tushare.datayes import vars as vs
import pandas as pd
from pandas.compat import StringIO
class Basics():
def __init__(self , client):
self.client = client
def dy_master_secID(self, tick... | bsd-3-clause |
deepfield/ibis | ibis/sql/postgres/tests/test_client.py | 1 | 3736 | # Copyright 2015 Cloudera Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | apache-2.0 |
flightgong/scikit-learn | sklearn/feature_selection/tests/test_rfe.py | 3 | 3357 | """
Testing Recursive feature elimination
"""
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_array_equal
from nose.tools import assert_equal
from scipy import sparse
from sklearn.feature_selection.rfe import RFE, RFECV
from sklearn.datasets import load_iris
from sklearn.metrics import ... | bsd-3-clause |
pllim/astropy | examples/io/plot_fits-image.py | 11 | 1898 | # -*- coding: utf-8 -*-
"""
=======================================
Read and plot an image from a FITS file
=======================================
This example opens an image stored in a FITS file and displays it to the screen.
This example uses `astropy.utils.data` to download the file, `astropy.io.fits` to open
th... | bsd-3-clause |
sho-87/python-machine-learning | Linear Regression/multiple_regression.py | 1 | 1719 | # Basic OLS regression using base python (and numpy)
import numpy as np
import matplotlib.pyplot as plt
# Load data
dataset = np.genfromtxt('../data/regression_heart.csv', delimiter=",")
x = dataset[:,1:]
y = dataset[:,0]
y = np.reshape(y, (y.shape[0],1)) # Reshape to a column vector
# Scale (standardize) data for... | mit |
ishank08/scikit-learn | sklearn/linear_model/bayes.py | 14 | 19671 | """
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 |
satiros12/MUIA | META/GS/META2.py | 1 | 13340 | import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import SA
import time
import matplotlib.pylab as pylab
pylab.rcParams['figure.figsize'] = (16.0, 10.0)
import itertools
#Default maximization
class SimulatedAnnealing:
def __init__(self):
self.T_initial, self.T_final, self.K_steps, sel... | apache-2.0 |
sappo/simindex | tests/test_engine.py | 1 | 9171 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_simindex
----------------------------------
Tests for `simindex` module.
"""
import os
import pytest
from pprint import pprint
import tempfile
import pandas as pd
from .testprofiler import profile
from .testdata import restaurant_records
import simindex.helper... | mpl-2.0 |
toobaz/pandas | pandas/tests/sparse/test_combine_concat.py | 1 | 18880 | import itertools
import numpy as np
import pytest
from pandas.errors import PerformanceWarning
import pandas as pd
import pandas.util.testing as tm
class TestSparseArrayConcat:
@pytest.mark.parametrize("kind", ["integer", "block"])
def test_basic(self, kind):
a = pd.SparseArray([1, 0, 0, 2], kind=k... | bsd-3-clause |
ShapeNet/JointEmbedding | src/image_embedding_testing/prepare_testing.py | 1 | 1733 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys
import shutil
import argparse
import fileinput
#https://github.com/BVLC/caffe/issues/861#issuecomment-70124809
import matplotlib
matplotlib.use('Agg')
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.dirname(BASE_DIR))
from ... | bsd-3-clause |
bmazin/SDR | Projects/BestBeammap/palDiff.py | 1 | 1891 | #!/bin/python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
def getList(file):
posList= np.recfromtxt(file)
l = [posList['f0'],posList['f2'],posList['f3']]
l = np.array(l)
l = l.T
names = posList['f4']
return l,names
left,leftNames = getList('freq_atten_x_y_palleft.txt')... | gpl-2.0 |
mwiebe/numpy | numpy/lib/npyio.py | 35 | 71412 | from __future__ import division, absolute_import, print_function
import sys
import os
import re
import itertools
import warnings
import weakref
from operator import itemgetter
import numpy as np
from . import format
from ._datasource import DataSource
from numpy.core.multiarray import packbits, unpackbits
from ._ioto... | bsd-3-clause |
sunk/spacetime | nips_exp.py | 1 | 11758 | #!/usr/bin/env python
from __future__ import print_function
import dist2, spacetime
import numpy as np
import scipy.io
import os, sys, itertools
EPS = np.finfo( float ).eps
def __rebuild( data_file, bin_file, num_vols, dtype, binary ):
'''
parse the raw data in data_file and
store the co-authorship m... | bsd-2-clause |
enigmampc/catalyst | catalyst/data/treasuries_can.py | 15 | 5257 | #
# Copyright 2013 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 |
quiltdata/quilt | api/python/quilt3/bucket.py | 1 | 6293 | """
bucket.py
Contains the Bucket class, which provides several useful functions
over an s3 bucket.
"""
import pathlib
from .data_transfer import (
copy_file,
delete_object,
list_object_versions,
list_objects,
select,
)
from .search_util import search_api
from .util import PhysicalKey, QuiltEx... | apache-2.0 |
zohannn/motion_manager | scripts/old/task_2_reaching/var_1/predicting_task_2_var_1_10k.py | 2 | 138480 | #!/usr/bin/env python3
import sys
import pandas as pd
from sklearn import decomposition
from sklearn import metrics
from sklearn.externals import joblib
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
import math
from random import randint
# HUPL
from HUPL.learner import preprocess_featur... | mit |
Adai0808/BuildingMachineLearningSystemsWithPython | ch09/01_fft_based_classifier.py | 24 | 3740 | # This code is supporting material for the book
# Building Machine Learning Systems with Python
# by Willi Richert and Luis Pedro Coelho
# published by PACKT Publishing
#
# It is made available under the MIT License
import numpy as np
from collections import defaultdict
from sklearn.metrics import precision_recall_cu... | mit |
idlead/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 |
baptistelabat/kiteEnergySimulator | Carousel/Carousel.py | 1 | 3554 | #!/usr/bin/env python
# -*- coding: utf8 -*-
# Licensed under the MIT License,
# https://github.com/baptistelabat/kiteEnergySimulator
# @author: Charles Spraul
# Created on Fri Mar 14 16:04:44 2014
from scipy.optimize import minimize_scalar
import matplotlib.pyplot as plt
import numpy as np
from numpy import... | mit |
wavelets/lifelines | tests/test_plotting.py | 3 | 7586 | from __future__ import print_function
import os
import pytest
import numpy as np
from lifelines.estimation import NelsonAalenFitter, KaplanMeierFitter, AalenAdditiveFitter
from lifelines.generate_datasets import generate_random_lifetimes, generate_hazard_rates
from lifelines.plotting import plot_lifetimes
@pytest.ma... | mit |
vivekmishra1991/scikit-learn | sklearn/manifold/tests/test_t_sne.py | 53 | 21055 | import sys
from sklearn.externals.six.moves import cStringIO as StringIO
import numpy as np
import scipy.sparse as sp
from sklearn.neighbors import BallTree
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_almost_equal
fr... | bsd-3-clause |
toastedcornflakes/scikit-learn | sklearn/cluster/tests/test_dbscan.py | 176 | 12155 | """
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 |
Gillu13/scipy | doc/source/tutorial/stats/plots/kde_plot4.py | 142 | 1457 | from functools import partial
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
def my_kde_bandwidth(obj, fac=1./5):
"""We use Scott's Rule, multiplied by a constant factor."""
return np.power(obj.n, -1./(obj.d+4)) * fac
loc1, scale1, size1 = (-2, 1, 175)
loc2, scale2, size2 = (2, ... | bsd-3-clause |
antiface/mne-python | examples/preprocessing/plot_resample.py | 12 | 3364 | """
===============
Resampling data
===============
When performing experiments where timing is critical, a signal with a high
sampling rate is desired. However, having a signal with a much higher sampling
rate than is necessary needlessly consumes memory and slows down computations
operating on the data.
This exampl... | bsd-3-clause |
glemaitre/UnbalancedDataset | examples/combine/plot_comparison_combine.py | 2 | 4390 | """
====================================================================
Comparison of the combination of over- and under-sampling algorithms
====================================================================
This example shows the effect of applying an under-sampling algorithms after
SMOTE over-sampling. In the lit... | mit |
jerryjiahaha/rts2 | python/rts2/gpoint.py | 3 | 52726 | # g(pl)-Point - GPLed Telescope pointing model fit, as described in paper by Marc Buie:
#
# ftp://ftp.lowell.edu/pub/buie/idl/pointing/pointing.pdf
#
# (C) 2015-2016 Petr Kubanek <petr@kubanek.net>
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public Li... | lgpl-3.0 |
oemof/oemof_examples | oemof_examples/oemof.solph/v0.3.x/simple_dispatch/simple_dispatch.py | 2 | 6730 | # -*- coding: utf-8 -*-
"""
General description
-------------------
This example shows how to create an energysystem with oemof objects and
solve it with the solph module. Results are plotted with outputlib.
Dispatch modelling is a typical thing to do with solph. However cost does not
have to be monetary but can be e... | gpl-3.0 |
borisz264/mono_seq | uniform_colormaps.py | 28 | 50518 | # New matplotlib colormaps by Nathaniel J. Smith, Stefan van der Walt,
# and (in the case of viridis) Eric Firing.
#
# This file and the colormaps in it are released under the CC0 license /
# public domain dedication. We would appreciate credit if you use or
# redistribute these colormaps, but do not impose any legal r... | mit |
rajat1994/scikit-learn | examples/svm/plot_separating_hyperplane.py | 294 | 1273 | """
=========================================
SVM: Maximum margin separating hyperplane
=========================================
Plot the maximum margin separating hyperplane within a two-class
separable dataset using a Support Vector Machine classifier with
linear kernel.
"""
print(__doc__)
import numpy as np
impor... | bsd-3-clause |
Adai0808/scikit-learn | examples/calibration/plot_compare_calibration.py | 241 | 5008 | """
========================================
Comparison of Calibration of Classifiers
========================================
Well calibrated classifiers are probabilistic classifiers for which the output
of the predict_proba method can be directly interpreted as a confidence level.
For instance a well calibrated (bi... | bsd-3-clause |
gclenaghan/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 |
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