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 |
|---|---|---|---|---|---|
liangz0707/scikit-learn | sklearn/ensemble/gradient_boosting.py | 50 | 67625 | """Gradient Boosted Regression Trees
This module contains methods for fitting gradient boosted regression trees for
both classification and regression.
The module structure is the following:
- The ``BaseGradientBoosting`` base class implements a common ``fit`` method
for all the estimators in the module. Regressio... | bsd-3-clause |
YihaoLu/statsmodels | statsmodels/datasets/template_data.py | 31 | 1680 | #! /usr/bin/env python
"""Name of dataset."""
__docformat__ = 'restructuredtext'
COPYRIGHT = """E.g., This is public domain."""
TITLE = """Title of the dataset"""
SOURCE = """
This section should provide a link to the original dataset if possible and
attribution and correspondance information for the da... | bsd-3-clause |
empeeu/numpy | numpy/fft/fftpack.py | 72 | 45497 | """
Discrete Fourier Transforms
Routines in this module:
fft(a, n=None, axis=-1)
ifft(a, n=None, axis=-1)
rfft(a, n=None, axis=-1)
irfft(a, n=None, axis=-1)
hfft(a, n=None, axis=-1)
ihfft(a, n=None, axis=-1)
fftn(a, s=None, axes=None)
ifftn(a, s=None, axes=None)
rfftn(a, s=None, axes=None)
irfftn(a, s=None, axes=None... | bsd-3-clause |
great-expectations/great_expectations | great_expectations/expectations/core/expect_column_most_common_value_to_be_in_set.py | 1 | 7938 | from typing import Dict, List, Optional, Union
import numpy as np
import pandas as pd
from great_expectations.core.batch import Batch
from great_expectations.core.expectation_configuration import ExpectationConfiguration
from great_expectations.execution_engine import ExecutionEngine, PandasExecutionEngine
from great... | apache-2.0 |
HenschelLab/EcoDist | ecoDistSQL2.py | 1 | 11893 |
"""
Creates an ecodistribution plot for a sample (from the database!) similar to qiime barplots plus a second dimension:
for each OTU, the distribution over ecosystems is color coded/visualized
Moreover ecosystem distribution entropy for each OTU in the sample is calculated
for each otu: create a stats of Ecosystem o... | gpl-3.0 |
FEniCS/mshr | demo/python/deathstar.py | 1 | 1161 | # Copyright (C) 2015 Anders Logg
#
# This file is part of mshr.
#
# mshr 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 3 of the License, or
# (at your option) any later version.
#
# mshr is di... | gpl-3.0 |
ycaihua/scikit-learn | sklearn/decomposition/tests/test_fastica.py | 30 | 7560 | """
Test the fastica algorithm.
"""
import itertools
import numpy as np
from scipy import stats
from nose.tools import assert_raises
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testi... | bsd-3-clause |
mattgiguere/scikit-learn | examples/linear_model/plot_ols.py | 45 | 1985 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Linear Regression Example
=========================================================
This example uses the only the first feature of the `diabetes` dataset, in
order to illustrate a two-dimensional plot of this regre... | bsd-3-clause |
jpmckinney/inventory | inventory/management/commands/report.py | 2 | 19601 | import json
import sys
from collections import defaultdict
from optparse import make_option
from urllib.parse import urlparse
import ckanapi
import pandas as pd
import lxml
from django.db.models import Count
from . import InventoryCommand
from inventory.models import Dataset, Distribution
from inventory.scrapers impo... | mit |
JeanKossaifi/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 |
VirusTotal/msticpy | tests/test_ioc_extractor.py | 1 | 10024 | import unittest
import pandas as pd
# Test code
from msticpy.sectools.iocextract import IoCExtract
TEST_CASES = {
"ipv4_test": r"c:\one\path\or\another\myprocess -ip4:206.123.1.123",
"ipv6_test": r"""c:\one\path\or\another\myprocess -ip6:(2001:0db8:85a3:0000:0000:8a2e:0370:7334,
2001:db8:85a3:0:0:8a2e:37... | mit |
amaggi/bda | chapter_02/ex_12.py | 1 | 2104 | import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import poisson, norm, uniform
from scipy.integrate import trapz
from am_bda import get_pdf_quantiles
NPTS = 100
NSIM = 1000
year = np.arange(10)+1976
accid = np.array([24, 25, 31, 31, 22, 21, 26, 20, 16, 22])
deaths = np.array([734, 516, 754, 877, 81... | gpl-2.0 |
cwhanse/pvlib-python | pvlib/shading.py | 3 | 6761 | """
The ``shading`` module contains functions that model module shading and the
associated effects on PV module output
"""
import numpy as np
import pandas as pd
from pvlib.tools import sind, cosd
def masking_angle(surface_tilt, gcr, slant_height):
"""
The elevation angle below which diffuse irradiance is bl... | bsd-3-clause |
Elendurwen/pyCreeper | python/pyCreeper/crGraphStyle.py | 1 | 10232 | INVALID_VALUE = -999999;
from enum import Enum, unique
from matplotlib import pyplot;
import matplotlib;
from . import crHelpers;
@unique
class LEGEND_POSITION(Enum):
BEST = "best"
UPPER_RIGHT = "upper right"
UPPER_LEFT = "upper left"
LOWER_LEFT = "lower left"
LOWER_RIGHT = "lower right"
RIGHT = "ri... | lgpl-3.0 |
ChrisThoung/fsic | fsictools.py | 1 | 3353 | # -*- coding: utf-8 -*-
"""
fsictools
=========
Supporting tools for FSIC-based economic models. See the individual docstrings
for dependencies additional to those of `fsic`.
"""
# Version number keeps track with the main `fsic` module
from fsic import __version__
import re
from typing import Any, Dict, Hashable, Lis... | mit |
tokestermw/hillary-clinton-emails | scripts/outputCsvs.py | 5 | 3577 | import numpy as np
import pandas as pd
def normalize_address(raw_address):
for c in ["'", ",", "°", "•", "`", '"', "‘", "-"]:
raw_address = raw_address.replace(c, "")
raw_address = raw_address.lower()
if "<" in raw_address:
prefix = raw_address[:raw_address.index("<")].strip()
if ... | mit |
mdw771/tomosim | rmt_register_noise.py | 1 | 4435 | # -*- coding: utf-8 -*-
"""
This script works for shirley sample.
"""
import numpy as np
import glob
import dxchange
import os
import matplotlib.pyplot as plt
import scipy.interpolate
import tomopy
from scipy.interpolate import Rbf
from mpl_toolkits.mplot3d.axes3d import Axes3D
from matplotlib import cm
import tomosai... | apache-2.0 |
openpathsampling/openpathsampling | openpathsampling/analysis/tis/core.py | 3 | 15834 | import collections
import openpathsampling as paths
from openpathsampling.netcdfplus import StorableNamedObject
from openpathsampling.progress import SimpleProgress
import pandas as pd
import numpy as np
def steps_to_weighted_trajectories(steps, ensembles):
"""Bare function to convert to the weighted trajs dictio... | mit |
trankmichael/numpy | numpy/lib/twodim_base.py | 83 | 26903 | """ Basic functions for manipulating 2d arrays
"""
from __future__ import division, absolute_import, print_function
from numpy.core.numeric import (
asanyarray, arange, zeros, greater_equal, multiply, ones, asarray,
where, int8, int16, int32, int64, empty, promote_types, diagonal,
)
from numpy.core import... | bsd-3-clause |
dsockwell/trading-with-python | lib/vixFutures.py | 79 | 4157 | # -*- coding: utf-8 -*-
"""
set of tools for working with VIX futures
@author: Jev Kuznetsov
Licence: GPL v2
"""
import datetime as dt
from pandas import *
import os
import urllib2
#from csvDatabase import HistDataCsv
m_codes = dict(zip(range(1,13),['F','G','H','J','K','M','N','Q','U','V','X','Z'])) #m... | bsd-3-clause |
KrishnaswamyLab/PHATE | Python/test/test.py | 1 | 6950 | #!/usr/bin/env python
# author: Daniel Burkhardt <daniel.burkhardt@yale.edu>
# (C) 2017 Krishnaswamy Lab GPLv2
# Generating random fractal tree via DLA
from __future__ import print_function, division, absolute_import
import matplotlib
matplotlib.use("Agg") # noqa
import scprep
import nose2
import os
import phate
imp... | gpl-2.0 |
yuanagain/seniorthesis | venv/lib/python2.7/site-packages/matplotlib/tests/test_patches.py | 7 | 9432 | """
Tests specific to the patches module.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.externals import six
import numpy as np
from numpy.testing import assert_array_equal
from numpy.testing import assert_equal
from numpy.testing impo... | mit |
tuos/FlowAndCorrelations | healpy/tutorial/realDataC.py | 1 | 1429 | import healpy as hp
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
# Set the number of sources and the coordinates for the input
nsources = int(2664001)
nside = 8
npix = hp.nside2npix(nside)
# Coordinates and the density field f
#thetas = np.random.random(nsources) * np.pi
#phis = np.ran... | mit |
krisanselmo/osm_wpt | osm_wpt_on_gpx.py | 1 | 16359 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 17 15:28:58 2016
@author: christophe.anselmo@gmail.com
TODO:
- Add the possibility to query ways with overpass
|--> Fix double wpt
- Keep old WPT (partially functional)
- Add x kilometers before ending
Last 2 km
Last ... | gpl-3.0 |
lpryszcz/bin | modifications2signatures.py | 1 | 10514 | #!/usr/bin/env python
desc="""Generate RT signatures for modifications
"""
epilog="""Author:
l.p.pryszcz+git@gmail.com
Warsaw, 1/12/2017
"""
import os, sys
reload(sys)
sys.setdefaultencoding('utf8')
import re, subprocess
from datetime import datetime
from collections import Counter
from modifications2rna import f... | gpl-3.0 |
kuntzer/SALSA-public | 5_statistics_error.py | 1 | 5532 | ''' 5-statistics-error.py
=========================
AIM: Perform basic statistics on the data and gets the maximal stray light flux for one orbit
INPUT: files: - <orbit_id>_misc/orbits.dat
variables: see section PARAMETERS (below)
OUTPUT: in <orbit_id>_misc/ : file one stat file
in <orbit_id>_figures/ : error evo... | bsd-3-clause |
mkliegl/custom-sklearn | docs/conf.py | 1 | 11851 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Custom scikit-learn estimators and transformers documentation build configuration file, created by
# sphinx-quickstart on Sat Apr 9 14:26:23 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible confi... | mit |
probcomp/bdbcontrib | src/bql_utils.py | 1 | 16314 | # -*- coding: utf-8 -*-
# Copyright (c) 2010-2016, MIT Probabilistic Computing Project
#
# 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/LICENS... | apache-2.0 |
sinhrks/scikit-learn | sklearn/covariance/robust_covariance.py | 105 | 29653 | """
Robust location and covariance estimators.
Here are implemented estimators that are resistant to outliers.
"""
# Author: Virgile Fritsch <virgile.fritsch@inria.fr>
#
# License: BSD 3 clause
import warnings
import numbers
import numpy as np
from scipy import linalg
from scipy.stats import chi2
from . import empir... | bsd-3-clause |
JimHokanson/mendeley_python | mendeley/db_interface.py | 2 | 9843 | <<<<<<< HEAD
__all__ = ['db_available','add_to_db']
=======
import math
>>>>>>> a454f3d2717b10f207860099d8466b8333988a38
# Third party imports
import pandas
# Local imports
<<<<<<< HEAD
from mendeley.optional import MissingModule
from mendeley.optional import db
#Optional Imports
#---------------------------------... | mit |
OptimusCrime/personal-website | posts/static/34/modx_issues.py | 1 | 3331 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import urllib.request
from bs4 import BeautifulSoup
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import datetime as dt
import time
import numpy as np
import gzip
import pickle
CURRENTLY_OPEN = 588
MAX_ISSUES = 6500
PAGES = 211
FETCH = False
BASE_UR... | mit |
JohnOrlando/gnuradio-bitshark | gr-utils/src/python/plot_data.py | 5 | 5834 | #
# Copyright 2007,2008 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio 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 3, or (at your option)
# any later versi... | gpl-3.0 |
JackKelly/neuralnilm_prototype | scripts/e427.py | 2 | 6384 | 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 |
mmisamore/intro-data-science | chapter2/maxTemp.py | 1 | 1394 | import pandas
import pandasql
def max_temp_aggregate_by_fog(filename):
'''
This function should run a SQL query on a dataframe of
weather data. The SQL query should return two columns and
two rows - whether it was foggy or not (0 or 1) and the max
maxtempi for that fog value (i.e., the maximum max... | mit |
idlead/scikit-learn | examples/tree/unveil_tree_structure.py | 67 | 4824 | """
=========================================
Understanding the decision tree structure
=========================================
The decision tree structure can be analysed to gain further insight on the
relation between the features and the target to predict. In this example, we
show how to retrieve:
- the binary t... | bsd-3-clause |
Titan-C/scikit-learn | examples/cluster/plot_dict_face_patches.py | 9 | 2747 | """
Online learning of a dictionary of parts of faces
==================================================
This example uses a large dataset of faces to learn a set of 20 x 20
images patches that constitute faces.
From the programming standpoint, it is interesting because it shows how
to use the online API of the sciki... | bsd-3-clause |
maropu/spark | python/pyspark/pandas/tests/plot/test_frame_plot_matplotlib.py | 14 | 18666 | #
# 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 |
PanDAWMS/panda-server | pandaserver/test/testEvgen.py | 1 | 1834 | import sys
import time
import uuid
import pandaserver.userinterface.Client as Client
from pandaserver.taskbuffer.JobSpec import JobSpec
from pandaserver.taskbuffer.FileSpec import FileSpec
if len(sys.argv)>1:
site = sys.argv[1]
else:
site = None
datasetName = 'panda.destDB.%s' % str(uuid.uuid4())
destName ... | apache-2.0 |
harshaneelhg/scikit-learn | examples/linear_model/plot_ard.py | 248 | 2622 | """
==================================================
Automatic Relevance Determination Regression (ARD)
==================================================
Fit regression model with Bayesian Ridge Regression.
See :ref:`bayesian_ridge_regression` for more information on the regressor.
Compared to the OLS (ordinary l... | bsd-3-clause |
aev3/trading-with-python | spreadApp/makeDist.py | 77 | 1720 | from distutils.core import setup
import py2exe
manifest_template = '''
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<assembly xmlns="urn:schemas-microsoft-com:asm.v1" manifestVersion="1.0">
<assemblyIdentity
version="5.0.0.0"
processorArchitecture="x86"
name="%(prog)s"
type="win32"... | bsd-3-clause |
jorge2703/scikit-learn | examples/ensemble/plot_ensemble_oob.py | 259 | 3265 | """
=============================
OOB Errors for Random Forests
=============================
The ``RandomForestClassifier`` is trained using *bootstrap aggregation*, where
each new tree is fit from a bootstrap sample of the training observations
:math:`z_i = (x_i, y_i)`. The *out-of-bag* (OOB) error is the average er... | bsd-3-clause |
Nanguage/BioInfoCollections | HiC/virtual4C/stats_v4c.py | 1 | 10478 | import re
from itertools import tee
from os.path import join
import os
import time
from concurrent.futures import ProcessPoolExecutor
from itertools import repeat, tee
from datetime import datetime
from collections import namedtuple
import numpy as np
import click
import pandas as pd
import h5py
from tqdm import tqdm
... | gpl-3.0 |
jzt5132/scikit-learn | examples/manifold/plot_lle_digits.py | 59 | 8576 | """
=============================================================================
Manifold learning on handwritten digits: Locally Linear Embedding, Isomap...
=============================================================================
An illustration of various embeddings on the digits dataset.
The RandomTreesEmbed... | bsd-3-clause |
fmfn/UnbalancedDataset | imblearn/under_sampling/_prototype_selection/_nearmiss.py | 2 | 10215 | """Class to perform under-sampling based on nearmiss methods."""
# Authors: Guillaume Lemaitre <g.lemaitre58@gmail.com>
# Christos Aridas
# License: MIT
import warnings
from collections import Counter
import numpy as np
from sklearn.utils import _safe_indexing
from ..base import BaseUnderSampler
from ...u... | mit |
OpenANN/OpenANN | examples/sine/sine.py | 5 | 1262 | ## \page Sine Sine
#
# \section DataSet Data Set
#
# In this example, a sine function will be approximated from noisy measurements.
# This is an example for nonlinear regression. To run this example, you have
# to install matplotlib. It is a plotting library for Python.
#
# \section Code
#
# \include "sine/sine.py"
tr... | gpl-3.0 |
VariationalResearch/Polaron | fmquench.py | 1 | 4969 | from polrabi.quench import *
import matplotlib
import matplotlib.pyplot as plt
from timeit import default_timer as timer
import os
from scipy.integrate import trapz
from polrabi.staticfm import PCrit
# # Initialization
matplotlib.rcParams.update({'font.size': 12, 'text.usetex': True})
# mI = 1
# mB = 1
# n0 = 1
# g... | mit |
ycasg/PyNLO | src/examples/fundamental_SSFM.py | 2 | 3269 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 21 13:29:08 2014
This file is part of pyNLO.
pyNLO 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 3 of the License, or
(at your optio... | gpl-3.0 |
alivecor/tensorflow | tensorflow/contrib/timeseries/examples/lstm.py | 17 | 9460 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | apache-2.0 |
raghavrv/scikit-learn | examples/linear_model/plot_iris_logistic.py | 119 | 1679 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Logistic Regression 3-class Classifier
=========================================================
Show below is a logistic-regression classifiers decision boundaries on the
`iris <https://en.wikipedia.org/wiki/Iris_... | bsd-3-clause |
nesterione/scikit-learn | examples/ensemble/plot_gradient_boosting_oob.py | 230 | 4762 | """
======================================
Gradient Boosting Out-of-Bag estimates
======================================
Out-of-bag (OOB) estimates can be a useful heuristic to estimate
the "optimal" number of boosting iterations.
OOB estimates are almost identical to cross-validation estimates but
they can be compute... | bsd-3-clause |
thilbern/scikit-learn | sklearn/linear_model/tests/test_perceptron.py | 378 | 1815 | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_raises
from sklearn.utils import check_random_state
from sklearn.datasets import load_iris
from sklearn.linear_model import Pe... | bsd-3-clause |
duncanmmacleod/gwpy | gwpy/frequencyseries/tests/test_frequencyseries.py | 3 | 10897 | # -*- coding: utf-8 -*-
# Copyright (C) Duncan Macleod (2014-2020)
#
# This file is part of GWpy.
#
# GWpy 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 3 of the License, or
# (at your option)... | gpl-3.0 |
cle1109/scot | doc/source/conf.py | 4 | 8800 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# SCoT documentation build configuration file, created by
# sphinx-quickstart on Thu Jan 23 12:52:18 2014.
#
# 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
# autogen... | mit |
Kirubaharan/hydrology | weather/evap_noyyal.py | 2 | 2845 | __author__ = 'kiruba'
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import itertools
import checkdam.evaplib as evap
import checkdam.meteolib as met
from Pysolar import solar
import datetime
noyyal_evap_file = "/home/kiruba/PycharmProjects/area_of_curve/hydrology/hydrology/weather/weather_evap... | gpl-3.0 |
e-koch/VLA_Lband | 14B-088/Lines/OH_maser_figure.py | 1 | 5676 |
'''
Research note figure on the OH(1665) detection
'''
from spectral_cube import SpectralCube, Projection
from aplpy import FITSFigure
from astropy.io import fits
import pyregion
from os.path import join as osjoin
from astropy.wcs.utils import proj_plane_pixel_area
import astropy.units as u
import numpy as np
import ... | mit |
MartinSavc/scikit-learn | examples/linear_model/plot_logistic_path.py | 349 | 1195 | #!/usr/bin/env python
"""
=================================
Path with L1- Logistic Regression
=================================
Computes path on IRIS dataset.
"""
print(__doc__)
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD 3 clause
from datetime import datetime
import numpy as np
import... | bsd-3-clause |
airanmehr/bio | Scripts/KyrgysHAPH/GenomeAFS.py | 1 | 1365 | '''
Copyleft Feb 11, 2017 Arya Iranmehr, PhD Student, Bafna Lab, UC San Diego, Email: airanmehr@gmail.com
'''
import numpy as np;
np.set_printoptions(linewidth=200, precision=5, suppress=True)
import pandas as pd;
pd.options.display.max_rows = 20;
pd.options.display.expand_frame_repr = False
import pylab as plt;
imp... | mit |
CDNoyes/EDL-Py | EntryGuidance/EntryPlots.py | 1 | 2981 | import pickle
import time
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
from Planet import Planet
def EntryPlots(tr, figsize=(10,6), fontsize=20, ticksize=16, savedir=None, fignum_offset=0, label=None, plot_kw={}, grid=True):
""" Takes a dataframe and plots all the things one... | gpl-3.0 |
dssg/wikienergy | disaggregator/build/pandas/pandas/tests/test_rplot.py | 4 | 11485 | # -*- coding: utf-8 -*-
from pandas.compat import range
import pandas.tools.rplot as rplot
import pandas.util.testing as tm
from pandas import read_csv
import os
import nose
def curpath():
pth, _ = os.path.split(os.path.abspath(__file__))
return pth
def between(a, b, x):
"""Check if x is in the somewhe... | mit |
jaredweiss/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/delaunay/triangulate.py | 70 | 7732 | import warnings
try:
set
except NameError:
from sets import Set as set
import numpy as np
from matplotlib._delaunay import delaunay
from interpolate import LinearInterpolator, NNInterpolator
__all__ = ['Triangulation', 'DuplicatePointWarning']
class DuplicatePointWarning(RuntimeWarning):
"""Duplicate p... | gpl-3.0 |
ch3ll0v3k/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 |
bert9bert/statsmodels | statsmodels/tools/tools.py | 1 | 16985 | '''
Utility functions models code
'''
from statsmodels.compat.python import reduce, lzip, lmap, asstr2, range, long
import numpy as np
import numpy.lib.recfunctions as nprf
import numpy.linalg as L
from scipy.linalg import svdvals
import pandas as pd
from statsmodels.datasets import webuse
from statsmodels.tools.data ... | bsd-3-clause |
gregvonkuster/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 |
eg-zhang/scikit-learn | examples/model_selection/plot_roc.py | 96 | 4487 | """
=======================================
Receiver Operating Characteristic (ROC)
=======================================
Example of Receiver Operating Characteristic (ROC) metric to evaluate
classifier output quality.
ROC curves typically feature true positive rate on the Y axis, and false
positive rate on the X a... | bsd-3-clause |
amsjavan/nazarkav | nazarkav/cleaning_old.py | 1 | 1737 | from bs4 import BeautifulSoup
import hazm
import pandas as pd
class Cleaning():
def __init__(self,
dataset_path=None,
tag=False,
spelling=False,
marker=False,
normalize=False):
self.dataset_path = dataset_path
sel... | mit |
pedroig/Parkinsons-Disease-Digital-Biomarker | Features/splitSets.py | 1 | 6324 | import pandas as pd
import numpy as np
import utils
from sklearn.model_selection import train_test_split
def generateSetTables(augmentFraction=0.5, quickSplit=False):
"""
Generates all the tables used by the machine learning models, distributing the dataset in training, validation
and test sets.
Warni... | mit |
grhawk/ASE | ase/test/fio/oi.py | 2 | 2234 | import sys
import numpy as np
from ase import Atoms
from ase.io import write, read
a = 5.0
d = 1.9
c = a / 2
atoms = Atoms('AuH',
positions=[(c, c, 0), (c, c, d)],
cell=(a, a, 2 * d),
pbc=(0, 0, 1))
extra = np.array([ 2.3, 4.2 ])
atoms.set_array('extra', extra)
atoms *= (1, 1... | gpl-2.0 |
DTUWindEnergy/FUSED-Wake | fusedwake/Plotting.py | 1 | 2782 | """Plotting tools
@moduleauthor:: Juan P. Murcia <jumu@dtu.dk>
"""
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Circle
from matplotlib.collections import PatchCollection
def circles(x, y, s, c='b', vmin=None, vmax=None, **kwargs):
"""
Make a scatter of circles plot of x ... | mit |
mmb90/dftintegrate | dftintegrate/fourier/converge.py | 1 | 5132 | """
Classes::
Converge -- A collection of functions that loop over the number of
integration points, calling integratedata, and then recording and
plotting the convergence rate of the rectangles to the convergence
rate of Gaussian quadrature.
"""
import os
import json
import numpy as np
import matplotlib... | mit |
vortex-ape/scikit-learn | examples/model_selection/plot_confusion_matrix.py | 13 | 3232 | """
================
Confusion matrix
================
Example of confusion matrix usage to evaluate the quality
of the output of a classifier on the iris data set. The
diagonal elements represent the number of points for which
the predicted label is equal to the true label, while
off-diagonal elements are those that ... | bsd-3-clause |
anurag313/scikit-learn | sklearn/manifold/t_sne.py | 48 | 20644 | # Author: Alexander Fabisch -- <afabisch@informatik.uni-bremen.de>
# License: BSD 3 clause (C) 2014
# This is the standard t-SNE implementation. There are faster modifications of
# the algorithm:
# * Barnes-Hut-SNE: reduces the complexity of the gradient computation from
# N^2 to N log N (http://arxiv.org/abs/1301.... | bsd-3-clause |
cpcloud/odo | odo/backends/tests/test_hdfs.py | 9 | 9782 | from __future__ import absolute_import, division, print_function
import pytest
import os
pywebhdfs = pytest.importorskip('pywebhdfs')
pyhive = pytest.importorskip('pyhive')
host = os.environ.get('HDFS_TEST_HOST')
pytestmark = pytest.mark.skipif(host is None,
reason='No HDFS_TEST_HOST ... | bsd-3-clause |
openego/eTraGo | doc/conf.py | 1 | 12465 | """This file is part of eTraGO
It is developed in the project open_eGo: https://openegoproject.wordpress.com
eTraGo lives at github: https://github.com/openego/etrago/
The documentation is available on RTD: https://etrago.readthedocs.io"""
__copyright__ = "Flensburg University of Applied Sciences, Europa-Universitä... | agpl-3.0 |
espenhgn/nest-simulator | doc/guides/spatial/user_manual_scripts/layers.py | 17 | 11076 | # -*- coding: utf-8 -*-
#
# layers.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, or
# (a... | gpl-2.0 |
sstoma/CellProfiler | cellprofiler/modules/tests/test_saveimages.py | 2 | 106636 | """test_saveimages - test the saveimages module
CellProfiler is distributed under the GNU General Public License.
See the accompanying file LICENSE for details.
Copyright (c) 2003-2009 Massachusetts Institute of Technology
Copyright (c) 2009-2015 Broad Institute
All rights reserved.
Please see the AUTHORS file for c... | gpl-2.0 |
vibhorag/scikit-learn | sklearn/neighbors/tests/test_approximate.py | 71 | 18815 | """
Testing for the approximate neighbor search using
Locality Sensitive Hashing Forest module
(sklearn.neighbors.LSHForest).
"""
# Author: Maheshakya Wijewardena, Joel Nothman
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_a... | bsd-3-clause |
Jokiva/Computational-Physics | lecture 5/Problem 2/Problem 2.py | 1 | 1732 | #!/home/jzhong/.anaconda3/bin/python
# import pacages
import numpy as np
import matplotlib.pyplot as plt
# the equation to be solved
f = lambda x: 4 * np.cos(x) - np.exp(x)
# this function returns
# the derivative of f at x=x0
# with step epsilon / 100
# def deri(f, x0, delta):
# return (f(x0+delta) - f(x0)) / ... | gpl-3.0 |
fredhusser/scikit-learn | examples/decomposition/plot_pca_vs_lda.py | 182 | 1743 | """
=======================================================
Comparison of LDA and PCA 2D projection of Iris dataset
=======================================================
The Iris dataset represents 3 kind of Iris flowers (Setosa, Versicolour
and Virginica) with 4 attributes: sepal length, sepal width, petal length
a... | bsd-3-clause |
sauloal/cnidaria | scripts/venv/lib/python2.7/site-packages/matplotlib/backends/backend_cocoaagg.py | 11 | 9980 | """
backend_cocoaagg.py
A native Cocoa backend via PyObjC in OSX.
Author: Charles Moad (cmoad@users.sourceforge.net)
Notes:
- Requires PyObjC (currently testing v1.3.7)
- The Tk backend works nicely on OSX. This code
primarily serves as an example of embedding a
matplotlib rendering context into a c... | mit |
iancrossfield/aries_reduce | observing.py | 1 | 17350 | """
A main driver function is :func:`makeAnnualChart`
"""
import ephem
import numpy as np
from scipy import ndimage
import pylab as py
import pdb
from tools import isstring
def makeAnnualChart(obs, ra, dec, minElevation=30, twilight=12, oversamp=16, dt=0):
"""
Make pretty plots of target visibility during the... | mit |
b-carter/numpy | numpy/lib/tests/test_type_check.py | 7 | 13103 | from __future__ import division, absolute_import, print_function
import numpy as np
from numpy.compat import long
from numpy.testing import (
assert_, assert_equal, assert_array_equal, run_module_suite, assert_raises
)
from numpy.lib.type_check import (
common_type, mintypecode, isreal, iscomplex, isposinf... | bsd-3-clause |
anirudhjayaraman/scikit-learn | sklearn/mixture/tests/test_dpgmm.py | 261 | 4490 | import unittest
import sys
import numpy as np
from sklearn.mixture import DPGMM, VBGMM
from sklearn.mixture.dpgmm import log_normalize
from sklearn.datasets import make_blobs
from sklearn.utils.testing import assert_array_less, assert_equal
from sklearn.mixture.tests.test_gmm import GMMTester
from sklearn.externals.s... | bsd-3-clause |
DonghoChoi/Exploration_Study | local/extract_query_from_field_search.py | 2 | 5318 | #!/usr/bin/python
# Author: Dongho Choi
import math
import pandas as pd
from math import log
from sshtunnel import SSHTunnelForwarder # for SSH connection
import pymysql.cursors # MySQL handling API
import sys
import datetime
import time
sys.path.append("./configs/")
import server_config # (1) info2_server (2) explora... | gpl-3.0 |
paalge/scikit-image | doc/source/conf.py | 1 | 12382 | # -*- coding: utf-8 -*-
#
# skimage documentation build configuration file, created by
# sphinx-quickstart on Sat Aug 22 13:00:30 2009.
#
# 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... | bsd-3-clause |
rabrahm/ceres | pucheros/pucherosutils.py | 1 | 10415 | import sys
import matplotlib
matplotlib.use("Agg")
base = '../'
sys.path.append(base+"utils/GLOBALutils")
import GLOBALutils
import numpy as np
import scipy
from astropy.io import fits as pyfits
import os
import glob
import tempfile
import StringIO
import pycurl
from pylab import *
def is_there(string, word):
l=l... | mit |
mwaskom/seaborn | seaborn/tests/test_categorical.py | 2 | 113325 | import itertools
from functools import partial
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.colors import rgb2hex, to_rgb, to_rgba
import pytest
from pytest import approx
import numpy.testing as npt
from distutils.version import LooseVersion
from nump... | bsd-3-clause |
keguoh/queue-systems | extract_data.py | 1 | 1043 | import pyodbc as po
import numpy as np
import matplotlib.pyplot as plt
DBfile = 'C:/Users/huangke.PHIBRED/Dropbox/Research/3RD PROJECT/HomeHospital/database/April2004/April2004.mdb'
conn = po.connect('DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};DBQ='+DBfile)
# Install https://www.microsoft.com/en-us/download/co... | apache-2.0 |
detrout/debian-statsmodels | statsmodels/discrete/tests/test_discrete.py | 8 | 55883 | """
Tests for discrete models
Notes
-----
DECIMAL_3 is used because it seems that there is a loss of precision
in the Stata *.dta -> *.csv output, NOT the estimator for the Poisson
tests.
"""
# pylint: disable-msg=E1101
from statsmodels.compat.python import range
import os
import numpy as np
from numpy.testing import ... | bsd-3-clause |
wallinm1/kaggle-loan-default | train.py | 1 | 10162 | import numpy as np
import time
from sklearn import linear_model
from sklearn.externals import joblib
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.cross_validation import ShuffleSplit
from sklearn.svm import SVR
from sklearn.metrics import f1... | mit |
valexandersaulys/prudential_insurance_kaggle | venv/lib/python2.7/site-packages/numpy/core/tests/test_multiarray.py | 2 | 220131 | from __future__ import division, absolute_import, print_function
import collections
import tempfile
import sys
import shutil
import warnings
import operator
import io
import itertools
if sys.version_info[0] >= 3:
import builtins
else:
import __builtin__ as builtins
from decimal import Decimal
import numpy as... | gpl-2.0 |
orbitfold/tardis | tardis/io/model_reader.py | 3 | 8790 | #reading different model files
import numpy as np
from numpy import recfromtxt, genfromtxt
import pandas as pd
from astropy import units as u
import logging
# Adding logging support
logger = logging.getLogger(__name__)
from tardis.util import parse_quantity
class ConfigurationError(Exception):
pass
def read_d... | bsd-3-clause |
Titan-C/slaveparticles | examples/spins/plot_deg_2orb_fill.py | 1 | 2126 | # -*- coding: utf-8 -*-
"""
==========================================
Reconstructing a Coulomb occupation ladder
==========================================
Filling of the 2 degenerate orbitals of an atom in function of the chemical
potential
"""
from scipy.special import binom
from scipy.optimize import fsolve
from ... | gpl-3.0 |
bharcode/Kaggle | JobSalaryPrediction/features.py | 6 | 1625 | import numpy as np
from sklearn.base import BaseEstimator
from HTMLParser import HTMLParser
class FeatureMapper:
def __init__(self, features):
self.features = features
def fit(self, X, y=None):
for feature_name, column_name, extractor in self.features:
extractor.fit(X[column_name],... | gpl-2.0 |
bhargav/scikit-learn | benchmarks/bench_covertype.py | 120 | 7381 | """
===========================
Covertype dataset benchmark
===========================
Benchmark stochastic gradient descent (SGD), Liblinear, and Naive Bayes, CART
(decision tree), RandomForest and Extra-Trees on the forest covertype dataset
of Blackard, Jock, and Dean [1]. The dataset comprises 581,012 samples. It ... | bsd-3-clause |
mitschabaude/nanopores | scripts/plot_forces_How/plot_drag.py | 1 | 3257 | from matplotlib import rc
rc('font',**{'family':'serif','serif':['Palatino']})
rc('text', usetex=True)
#import colormaps
from matplotlib import cm
from math import sqrt
import matplotlib.pyplot as plt
import matplotlib.path as mplPath
import numpy as np
from calculateforce import loadforces
Fel_, Fdrag_ = loadforces()
... | mit |
fe114/CCI_LAND | atsr.py | 1 | 6351 |
#---------------------------------------------------------------------------------------------
# Name: Module containing ATSR file read functions
# Functions: aerosol_file_info, aerosol_file_attributes, seasonal anomalies
# History:
# 07/27/17 MC: add ATSR filename reader module for aerosol files
# 08/20/17 FE: ad... | gpl-3.0 |
rahul-c1/scikit-learn | sklearn/decomposition/tests/test_nmf.py | 33 | 6189 | import numpy as np
from scipy import linalg
from sklearn.decomposition import nmf
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import raises
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_gr... | bsd-3-clause |
steffengraber/nest-simulator | pynest/examples/glif_psc_neuron.py | 14 | 9617 | # -*- coding: utf-8 -*-
#
# glif_psc_neuron.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 |
rcarmo/crab | utils.py | 1 | 2482 | import pandas as pd
import numpy as np
def split_data_points(data_points, n_train):
# data_points: [(u1, i1, r1), (u2, i2, r2), ...]
import random
import copy
_data_points = copy.deepcopy(data_points)
# shuffle is an in-place operation
random.shuffle(_data_points)
train_data_points = _data_... | bsd-3-clause |
pllim/astropy | astropy/conftest.py | 6 | 5477 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This file contains pytest configuration settings that are astropy-specific
(i.e. those that would not necessarily be shared by affiliated packages
making use of astropy's test runner).
"""
import os
import builtins
import sys
import tempfile
import wa... | bsd-3-clause |
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