repo_name stringlengths 7 90 | path stringlengths 5 191 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 976 581k | license stringclasses 15
values |
|---|---|---|---|---|---|
amadeuspzs/travelTime | detect_peaks.py | 4 | 6618 | """Detect peaks in data based on their amplitude and other features."""
from __future__ import division, print_function
import numpy as np
__author__ = "Marcos Duarte, https://github.com/demotu/BMC"
__version__ = "1.0.4"
__license__ = "MIT"
def detect_peaks(x, mph=None, mpd=1, threshold=0, edge='rising',
... | mit |
Nodoka/Bioquality | graphing/horigrid_endglob_scatters.py | 1 | 2876 | #!/usr/bin/env ipython
"""
A scatter graph of grid count vs grid area.
"""
import numpy as np
import matplotlib.pyplot as plt
# extract data from csv
# CAUTION! column locations differ from filtered.
# file_name = "../data/Hori_area_weight.csv"
# uncomment when using filtered data
file_name = "../data/Hori_area_weigh... | mit |
edhuckle/statsmodels | statsmodels/tsa/base/datetools.py | 27 | 10629 | from statsmodels.compat.python import (lrange, lzip, lmap, string_types, callable,
asstr, reduce, zip, map)
import re
import datetime
from pandas import Period
from pandas.tseries.frequencies import to_offset
from pandas import datetools as pandas_datetools
import numpy as np
#NOTE: All... | bsd-3-clause |
peterbraden/tensorflow | tensorflow/examples/skflow/text_classification_builtin_rnn_model.py | 3 | 2786 | # Copyright 2015-present The Scikit Flow 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 require... | apache-2.0 |
merenlab/anvio | anvio/pfam.py | 1 | 25958 | #!/usr/bin/env python
# -*- coding: utf-8
"""This file contains PfamSetup and Pfam classes."""
import anvio
import anvio.dbops as dbops
import anvio.utils as utils
import anvio.terminal as terminal
import anvio.filesnpaths as filesnpaths
from anvio.drivers.hmmer import HMMer
from anvio.parsers import parser_modules
f... | gpl-3.0 |
murali-munna/scikit-learn | examples/mixture/plot_gmm_classifier.py | 250 | 3918 | """
==================
GMM classification
==================
Demonstration of Gaussian mixture models for classification.
See :ref:`gmm` for more information on the estimator.
Plots predicted labels on both training and held out test data using a
variety of GMM classifiers on the iris dataset.
Compares GMMs with sp... | bsd-3-clause |
openastro/d2d | python/plot_transfer.py | 4 | 7667 | '''
Copyright (c) 2014-2016 Kartik Kumar, Dinamica Srl (me@kartikkumar.com)
Distributed under the MIT License.
See accompanying file LICENSE.md or copy at http://opensource.org/licenses/MIT
'''
# Set up modules and packages
# Plotting
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from matpl... | mit |
jamesHuffman/pyciss | pyciss/solitons.py | 1 | 1702 | from datetime import datetime as dt
import pandas as pd
import pkg_resources as pr
from astropy import units as u
from numpy import poly1d
def get_year_since_resonance(ringcube):
"Calculate the fraction of the year since moon swap."
t0 = dt(2006, 1, 21)
td = ringcube.imagetime - t0
return td.days / 3... | isc |
ltiao/scikit-learn | examples/preprocessing/plot_function_transformer.py | 161 | 1949 | """
=========================================================
Using FunctionTransformer to select columns
=========================================================
Shows how to use a function transformer in a pipeline. If you know your
dataset's first principle component is irrelevant for a classification task,
you ca... | bsd-3-clause |
moutai/scikit-learn | examples/covariance/plot_lw_vs_oas.py | 159 | 2951 | """
=============================
Ledoit-Wolf vs OAS estimation
=============================
The usual covariance maximum likelihood estimate can be regularized
using shrinkage. Ledoit and Wolf proposed a close formula to compute
the asymptotically optimal shrinkage parameter (minimizing a MSE
criterion), yielding th... | bsd-3-clause |
murali-munna/scikit-learn | sklearn/metrics/tests/test_regression.py | 272 | 6066 | from __future__ import division, print_function
import numpy as np
from itertools import product
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.... | bsd-3-clause |
kevin-intel/scikit-learn | examples/decomposition/plot_ica_vs_pca.py | 14 | 3339 | """
==========================
FastICA on 2D point clouds
==========================
This example illustrates visually in the feature space a comparison by
results using two different component analysis techniques.
:ref:`ICA` vs :ref:`PCA`.
Representing ICA in the feature space gives the view of 'geometric ICA':
ICA... | bsd-3-clause |
daniaki/Enrich2 | enrich2/tests/utilities.py | 1 | 9258 | # Copyright 2016-2017 Alan F Rubin, Daniel C Esposito
#
# This file is part of Enrich2.
#
# Enrich2 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 |
projectchrono/chrono | src/chrono_gpu/utils/GpuNFNet.py | 4 | 4058 | # Import pandas and math libraries
import pandas as pd
import math
import numpy as np
import sys
numOfFiles = int(sys.argv[1]);
path = str(sys.argv[2]); # This path should be a folder
path = path + '/'
for i in range(numOfFiles):
# csv1-Particle contact data (normal force magnitude, friction force vector)
... | bsd-3-clause |
sirusb/pastis | doc/sphinxext/gen_rst.py | 3 | 30132 | """
Example generation for the scikit learn
Generate the rst files for the examples by iterating over the python
example files.
Files that generate images should start with 'plot'
"""
from time import time
import os
import shutil
import traceback
import glob
import sys
from StringIO import StringIO
import cPickle
im... | bsd-3-clause |
Obus/scikit-learn | examples/covariance/plot_robust_vs_empirical_covariance.py | 248 | 6359 | r"""
=======================================
Robust vs Empirical covariance estimate
=======================================
The usual covariance maximum likelihood estimate is very sensitive to the
presence of outliers in the data set. In such a case, it would be better to
use a robust estimator of covariance to guar... | bsd-3-clause |
ueshin/apache-spark | python/pyspark/pandas/frame.py | 8 | 433210 | #
# 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 |
gdementen/xlwings | xlwings/tests/test_shape.py | 1 | 8532 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
import unittest
import xlwings as xw
from xlwings.tests.common import TestBase, this_dir
try:
import matplotlib as mpl
import matplotlib.pyplot as plt
except ImportError:
mpl = None
try:
import PIL
except ImportError:
PIL =... | bsd-3-clause |
balazssimon/ml-playground | udemy/lazyprogrammer/logistic-regression-python/bad_xor.py | 1 | 1565 | # logisitc regression classifier for the XOR problem.
#
# the notes for this class can be found at:
# https://deeplearningcourses.com/c/data-science-logistic-regression-in-python
# https://www.udemy.com/data-science-logistic-regression-in-python
from __future__ import print_function, division
from builtins import ran... | apache-2.0 |
gotomypc/scikit-learn | sklearn/__check_build/__init__.py | 345 | 1671 | """ Module to give helpful messages to the user that did not
compile the scikit properly.
"""
import os
INPLACE_MSG = """
It appears that you are importing a local scikit-learn source tree. For
this, you need to have an inplace install. Maybe you are in the source
directory and you need to try from another location.""... | bsd-3-clause |
yuchengdong/project-beta-1 | code/dataprep_script.py | 4 | 1758 |
""" The following script will apply a 3mm Gaussian filter on all the data spatially
and will save each smoothed run into the data folder as 'smoothed_run_i', where
0 <= i <= 7 is the index of the run.
"""
#Import libraries
import numpy as np
import scipy
import scipy.ndimage
from scipy.ndimage.filters import gauss... | bsd-3-clause |
arabenjamin/pybrain | pybrain/auxiliary/gaussprocess.py | 25 | 9240 | from __future__ import print_function
__author__ = 'Thomas Rueckstiess, ruecksti@in.tum.de; Christian Osendorfer, osendorf@in.tum.de'
from scipy import r_, exp, zeros, eye, array, asarray, random, ravel, diag, sqrt, sin, cos, sort, mgrid, dot, floor
from scipy import c_ #@UnusedImport
from scipy.linalg import solve,... | bsd-3-clause |
google/trimmed_match | trimmed_match/post_analysis/tests/trimmed_match_post_analysis_test.py | 1 | 15924 | # 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 |
RedhawkSDR/integration-gnuhawk | gnuradio/gr-filter/examples/reconstruction.py | 12 | 4824 | #!/usr/bin/env python
#
# Copyright 2010,2012 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 optio... | gpl-3.0 |
abhishekgahlot/scikit-learn | benchmarks/bench_plot_neighbors.py | 287 | 6433 | """
Plot the scaling of the nearest neighbors algorithms with k, D, and N
"""
from time import time
import numpy as np
import pylab as pl
from matplotlib import ticker
from sklearn import neighbors, datasets
def get_data(N, D, dataset='dense'):
if dataset == 'dense':
np.random.seed(0)
return np.... | bsd-3-clause |
wztzjhn/quantum_basis | examples/trans_absent/latt_chain/plot_sqw.py | 1 | 4278 | #!/usr/bin/python
import sys
import numpy as np
import matplotlib
#matplotlib.use("Agg")
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
num_argv = len(sys.argv)
if ( num_argv<6 ):
sys.exit("Usage: plot_sqw filename step eta omega_max max_intensity ...")
elif ( sys.argv[1]=='... | gpl-3.0 |
sytays/openanalysis | doc/conf.py | 1 | 6136 | # -*- coding: utf-8 -*-
#
# OpenAnalysis documentation build configuration file, created by
# sphinx-quickstart on Wed Jul 19 12:44:16 2017.
#
# 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.
... | gpl-3.0 |
jmargeta/scikit-learn | examples/linear_model/lasso_dense_vs_sparse_data.py | 13 | 1862 | """
==============================
Lasso on dense and sparse data
==============================
We show that linear_model.Lasso provides the same results for dense and sparse
data and that in the case of sparse data the speed is improved.
"""
print(__doc__)
from time import time
from scipy import sparse
from scipy ... | bsd-3-clause |
yipenggao/moose | gui/utils/Plotter.py | 8 | 6217 | #!usr/bin/python
import sys, os, random
try:
from PyQt4 import QtCore, QtGui
QtCore.Signal = QtCore.pyqtSignal
QtCore.Slot = QtCore.pyqtSlot
except ImportError:
try:
from PySide import QtCore, QtGui
QtCore.QString = str
except ImportError:
raise ImportError("Cannot load eit... | lgpl-2.1 |
jrderuiter/im-fusion | src/imfusion/expression/test.py | 2 | 27237 | # -*- coding: utf-8 -*-
"""Contains functions that test for differential expression."""
# pylint: disable=wildcard-import,redefined-builtin,unused-wildcard-import
from __future__ import absolute_import, division, print_function
from builtins import *
# pylint: enable=wildcard-import,redefined-builtin,unused-wildcard-i... | mit |
fabianvaccaro/pygums | pythonLibs/mahotas-1.1.0/build/lib.linux-armv6l-2.7/mahotas/features/surf.py | 2 | 9884 | # Copyright (C) 2010-2013, Luis Pedro Coelho <luis@luispedro.org>
# vim: set ts=4 sts=4 sw=4 expandtab smartindent:
#
# License: MIT (see COPYING file)
from __future__ import division
import numpy as np
from . import _surf
from ..internal import _verify_is_integer_type
__all__ = ['integral', 'surf']
def integral(f, ... | gpl-2.0 |
snnn/tensorflow | tensorflow/contrib/losses/python/metric_learning/metric_loss_ops_test.py | 24 | 20551 | # 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 |
Winand/pandas | pandas/tests/test_window.py | 1 | 154033 | from itertools import product
import pytest
import sys
import warnings
from warnings import catch_warnings
from datetime import datetime, timedelta
from numpy.random import randn
import numpy as np
from distutils.version import LooseVersion
import pandas as pd
from pandas import (Series, DataFrame, bdate_range, isna,... | bsd-3-clause |
yunfeilu/scikit-learn | examples/neighbors/plot_regression.py | 349 | 1402 | """
============================
Nearest Neighbors regression
============================
Demonstrate the resolution of a regression problem
using a k-Nearest Neighbor and the interpolation of the
target using both barycenter and constant weights.
"""
print(__doc__)
# Author: Alexandre Gramfort <alexandre.gramfort@... | bsd-3-clause |
theodoregoetz/clas12-dc-wiremap | clas12_wiremap/ui/mpl_canvas.py | 1 | 1082 | from __future__ import print_function, division, unicode_literals
import sys
import os
import numpy as np
from numpy import random as rand
from matplotlib import pyplot, gridspec
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from clas12_wiremap... | gpl-3.0 |
ashhher3/scikit-learn | sklearn/neighbors/nearest_centroid.py | 25 | 7219 | # -*- coding: utf-8 -*-
"""
Nearest Centroid Classification
"""
# Author: Robert Layton <robertlayton@gmail.com>
# Olivier Grisel <olivier.grisel@ensta.org>
#
# License: BSD 3 clause
import warnings
import numpy as np
from scipy import sparse as sp
from ..base import BaseEstimator, ClassifierMixin
from ..ext... | bsd-3-clause |
jeremyfix/pylearn2 | pylearn2/scripts/datasets/step_through_small_norb.py | 49 | 3123 | #! /usr/bin/env python
"""
A script for sequentially stepping through SmallNORB, viewing each image and
its label.
Intended as a demonstration of how to iterate through NORB images,
and as a way of testing SmallNORB's StereoViewConverter.
If you just want an image viewer, consider
pylearn2/scripts/show_binocular_gra... | bsd-3-clause |
dhruv13J/scikit-learn | examples/svm/plot_svm_anova.py | 250 | 2000 | """
=================================================
SVM-Anova: SVM with univariate feature selection
=================================================
This example shows how to perform univariate feature before running a SVC
(support vector classifier) to improve the classification scores.
"""
print(__doc__)
import... | bsd-3-clause |
Eric89GXL/scikit-learn | examples/applications/face_recognition.py | 12 | 5368 | """
===================================================
Faces recognition example using eigenfaces and SVMs
===================================================
The dataset used in this example is a preprocessed excerpt of the
"Labeled Faces in the Wild", aka LFW_:
http://vis-www.cs.umass.edu/lfw/lfw-funneled.tgz (2... | bsd-3-clause |
joyeshmishra/spark-tk | regression-tests/sparktkregtests/testcases/scoretests/svm_model_test.py | 10 | 3519 | # vim: set encoding=utf-8
# Copyright (c) 2016 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | apache-2.0 |
clemsos/mitras | tests/test_geo.py | 1 | 4990 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from test_helpers import TestHelpers
helpers=TestHelpers()
helpers.add_relative_path()
from lib.mongo import MongoDB
from lib.geo import geocode
import ner
import json
import numpy as np
from datetime import datetime
import matplotlib.pyplot as plt
import matplotlib.cm a... | mit |
paulrbrenner/GOS | examples/migration/visualization/basemapviz.py | 2 | 1344 | import matplotlib.pyplot as plt
import matplotlib.cm
import numpy as np
import pandas as pd
from mpl_toolkits.basemap import Basemap
from matplotlib.patches import Polygon
from matplotlib.collections import PatchCollection
from matplotlib.colors import Normalize
def map(dataframe, title = "Map", colorbarName = None):
... | apache-2.0 |
matthewalbani/scipy | scipy/signal/fir_filter_design.py | 23 | 28336 | # -*- coding: utf-8 -*-
"""Functions for FIR filter design."""
from __future__ import division, print_function, absolute_import
from math import ceil, log
import numpy as np
from numpy.fft import irfft
from scipy.special import sinc
from scipy.linalg import toeplitz, hankel, pinv
from . import sigtools
__all__ = ['ka... | bsd-3-clause |
Scapogo/zipline | tests/pipeline/test_blaze.py | 3 | 70826 | """
Tests for the blaze interface to the pipeline api.
"""
from __future__ import division
from collections import OrderedDict
from datetime import timedelta, time
from itertools import product, chain
import warnings
import blaze as bz
from datashape import dshape, var, Record
from nose_parameterized import parameter... | apache-2.0 |
vermouthmjl/scikit-learn | sklearn/utils/fixes.py | 7 | 13511 | """Compatibility fixes for older version of python, numpy and scipy
If you add content to this file, please give the version of the package
at which the fixe is no longer needed.
"""
# Authors: Emmanuelle Gouillart <emmanuelle.gouillart@normalesup.org>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# ... | bsd-3-clause |
karstenw/nodebox-pyobjc | examples/Extended Application/matplotlib/examples/subplots_axes_and_figures/axes_zoom_effect.py | 1 | 4158 | """
================
Axes Zoom Effect
================
"""
from matplotlib.transforms import Bbox, TransformedBbox, \
blended_transform_factory
from mpl_toolkits.axes_grid1.inset_locator import BboxPatch, BboxConnector,\
BboxConnectorPatch
def connect_bbox(bbox1, bbox2,
loc1a, loc2a, loc1b,... | mit |
smartscheduling/scikit-learn-categorical-tree | sklearn/linear_model/bayes.py | 18 | 15122 | """
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 |
irisliu0616/Short-text-Classification | Model/20News/20news_LSTM-SVM.py | 1 | 8621 | # coding: utf-8
from __future__ import print_function
import os
import numpy as np
import time
np.random.seed(1337)
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.utils.np_utils import to_categorical
from keras.layers import Dense, Flatten, Activation
... | mit |
voxlol/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 |
darioizzo/pykep | pykep/trajopt/_mga_lt_nep.py | 2 | 10130 | from numpy.linalg import norm
from math import sqrt, asin, acos
from pykep.core import epoch, fb_con, EARTH_VELOCITY, AU, MU_SUN
from pykep.planet import jpl_lp
from pykep.sims_flanagan import leg, spacecraft, sc_state
class mga_lt_nep:
"""
This class is a pygmo (http://esa.github.io/pygmo/) problem represent... | gpl-3.0 |
akhilaananthram/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/mathtext.py | 69 | 101723 | r"""
:mod:`~matplotlib.mathtext` is a module for parsing a subset of the
TeX math syntax and drawing them to a matplotlib backend.
For a tutorial of its usage see :ref:`mathtext-tutorial`. This
document is primarily concerned with implementation details.
The module uses pyparsing_ to parse the TeX expression.
.. _p... | agpl-3.0 |
glouppe/scikit-learn | sklearn/__init__.py | 29 | 3071 | """
Machine learning module for Python
==================================
sklearn is a Python module integrating classical machine
learning algorithms in the tightly-knit world of scientific Python
packages (numpy, scipy, matplotlib).
It aims to provide simple and efficient solutions to learning problems
that are acc... | bsd-3-clause |
sahg/SAHGutils | sahgutils/io/dwafdata.py | 1 | 5130 | """Utilities for fetching and plotting DWAF real-time data.
This module contains some simple functions to make it easier
to read and plot the data from GRIB(version 1) files produced
by SAWS Unified Model. The module relies on Wesley Ebisuzaki's
wgrib programme being somewhere on your systems path. If you
don't have w... | bsd-3-clause |
DarkEnergySurvey/ugali | ugali/scratch/simulation/validate_sim_population.py | 2 | 11123 | import os
import glob
import numpy as np
import astropy.io.fits as pyfits
import matplotlib.patches as patches
import pylab
pylab.ion()
##########
def wrap(x):
x_return = x
x_return[x > 180.] = x[x > 180.] - 360.
return x_return
##########
def getCatalogFile(catalog_dir, mc_source_id):
"""
Inpu... | mit |
sinhrks/pandas-ml | pandas_ml/test/test_groupby.py | 1 | 5710 | #!/usr/bin/env python
import numpy as np
import pandas as pd
import sklearn.datasets as datasets
import pandas_ml as pdml
import pandas_ml.util.testing as tm
class TestModelFrameGroupBy(tm.TestCase):
def test_frame_groupby(self):
df = pd.DataFrame({'A': [1, 2, 1, 2],
... | bsd-3-clause |
mrocklin/into | into/backends/hdfstore.py | 1 | 3041 | from __future__ import absolute_import, division, print_function
import pandas as pd
import datashape
from datashape import discover
from ..append import append
from ..convert import convert, ooc_types
from ..chunks import chunks, Chunks
from ..resource import resource
HDFDataset = (pd.io.pytables.AppendableFrameTa... | bsd-3-clause |
WaltXon/curvey | volumes.py | 1 | 3643 | from collections import OrderedDict
import pprint
import datetime
import pandas as pd
from arps import arps_hyp_rate
from phd import rate_at_t, cum_at_t, effective_decline_annual, nominal_decline_annual
from config import config
from functions import get_products, annual_to_monthly_rate
from templates import volumes
... | cc0-1.0 |
pnedunuri/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 |
xiaoxiamii/scikit-learn | examples/svm/plot_svm_kernels.py | 329 | 1971 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
SVM-Kernels
=========================================================
Three different types of SVM-Kernels are displayed below.
The polynomial and RBF are especially useful when the
data-points are not linearly sep... | bsd-3-clause |
noamkatzir/palm-hand-reading | tests/test6.py | 1 | 3575 | __author__ = 'noam'
import os
import cv2
import numpy as np
from matplotlib import pyplot as plt
from numpy import linalg
from operator import itemgetter, attrgetter, methodcaller
# return list of center sorted descending to the contour area
# and the min rect cordinates
def mapPalmAndFingers(contours, image):
ha... | bsd-3-clause |
RPGOne/scikit-learn | sklearn/gaussian_process/tests/test_gpr.py | 8 | 11823 | """Testing for Gaussian process regression """
# Author: Jan Hendrik Metzen <jhm@informatik.uni-bremen.de>
# License: BSD 3 clause
import numpy as np
from scipy.optimize import approx_fprime
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels \
import RBF, Constan... | bsd-3-clause |
sstoma/CellProfiler | cellprofiler/modules/saveimages.py | 1 | 60060 | '''<b>Save Images </b> saves image or movie files.
<hr>
Because CellProfiler usually performs many image analysis steps on many
groups of images, it does <i>not</i> save any of the resulting images to the
hard drive unless you specifically choose to do so with the <b>SaveImages</b>
module. You can save any of the
proc... | gpl-2.0 |
caogang/wgan-gp | gan_language.py | 1 | 9868 | import os, sys
sys.path.append(os.getcwd())
import time
import numpy as np
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import language_helpers
import tflib as lib
import tflib.plot
from sklearn.preprocessing import OneHotEncoder
... | mit |
yiori-s/fit_instagram_gender | instagram_collector.py | 1 | 2456 | import sys
from settings import instgram_access_token
from api import InstagramAPI, Alchemy
import pandas as pd
import csv
def following_users(api, user_name):
instgram_user_id = api.user_id(user_name=user_name)
following_users = api.follows_list(user_id=instgram_user_id)
return following_users
def use... | mit |
xuyifan0720/image-processor | Smart_image/Smart_image/photo_editor.py | 1 | 7183 | import cv2
import numpy as np
from matplotlib import pyplot as plt
import os
from Tkinter import *
from PIL import Image, ImageStat
import math
import argparse
class PhotoEditor:
def __init__(self, directory_name, destination, brightness,blur):
self.img = None
self.imageFile = None
self.di... | mit |
kayarre/Tools | test_rec2.py | 1 | 9831 | from __future__ import print_function
"""
Do a mouseclick somewhere, move the mouse to some destination, release
the button. This class gives click- and release-events and also draws
a line or a box from the click-point to the actual mouseposition
(within the same axes) until the button is released. Within the
method... | bsd-2-clause |
rthouvenin/meteography | meteography/django/broadcaster/views.py | 1 | 4747 | # -*- coding:utf-8 -*-
from itertools import groupby
import io
from datetime import datetime
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.dates import DateFormatter
from matplotlib.figure import Figure
from matplotlib.ticker import MaxNLocator
import numpy as np
from dj... | mit |
lneisenman/meanet | meanet/random.py | 1 | 2638 | # -*- coding: utf-8 -*-
from __future__ import (print_function, division, absolute_import,
unicode_literals)
import matplotlib.pyplot as plt
import numpy as np
from .mea import MEA
from .meanet import corr_matrix_to_graph, calc_cfp_from_MEA
def shuffle(data):
""" Return a random spiket... | bsd-3-clause |
ivankreso/stereo-vision | scripts/egomotion_kitti_eval/old/kitti_eval/plot_kitti_path.py | 1 | 2072 | #!/usr/bin/python
import numpy as np
import matplotlib.pyplot as plt
import math
filepath1 = "/home/kivan/Projects/datasets/KITTI/poses/07.txt"
filepath2 = "/home/kivan/Dropbox/experiment_data/img/07_nodf.txt"
#filepath2 = "/home/kivan/Dropbox/experiment_data/img/07_df.txt"
#filepath2 = "/home/kivan/Dropbox/experiment... | bsd-3-clause |
vanpact/scipy | scipy/special/basic.py | 26 | 64332 | #
# Author: Travis Oliphant, 2002
#
from __future__ import division, print_function, absolute_import
import warnings
import numpy as np
from scipy._lib.six import xrange
from numpy import (pi, asarray, floor, isscalar, iscomplex, real, imag, sqrt,
where, mgrid, sin, place, issubdtype, extract,
... | bsd-3-clause |
subutai/htmresearch | htmresearch/frameworks/pytorch/duty_cycle_metrics.py | 2 | 2176 | # ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2018, 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 progra... | agpl-3.0 |
tody411/ImageViewerFramework | ivf/ui/matplot_frame.py | 1 | 1647 | # -*- coding: utf-8 -*-
## @package ivf.ui.matplot_frame
#
# ivf.ui.matplot_frame utility package.
# @author tody
# @date 2016/02/11
from PyQt4.QtGui import *
from PyQt4.QtCore import *
import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
fro... | mit |
TammoR/rgb_simplex | create_simplex.py | 1 | 1990 | import numpy as np
import matplotlib
import matplotlib.pyplot as plt
def plot_rgb_image(image, figsize=(6, 6), fontsize=18, dpi=150,
labels=True):
"""
plot rgb simplex.
image is an array of shape (X,Y,3)
"""
x_size, y_size, _ = image.shape
font = {'family': 'serif',
... | gpl-3.0 |
fdesjardins/nara-stepbrowser | src/browserMatPlotFrame.py | 1 | 5362 | #!/usr/bin/env python
import gc
from PyQt4 import QtGui, QtCore
from PyQt4.QtGui import QPushButton
from PyQt4.QtGui import QLabel, QSlider, QComboBox
from PyQt4.QtGui import QMessageBox, QSpinBox, QSpacerItem
from PyQt4.QtCore import Qt
import numpy
from numpy import arange, sin, pi
import matplotlib
from matplotl... | mit |
b1quint/samfp | samfp/old/split_scan_files.py | 1 | 4985 | #!/usr/bin/env python
# -*- coding: utf8 -*-
"""
Split Scan Files
This script splits the scan files based on their header informations. This
makes easier to handle the data later.
"""
from __future__ import division, print_function
from multiprocessing import Pool
import argparse
import astropy.io.fits a... | bsd-3-clause |
HACKtheMACHINE/data-waddle | template.py | 1 | 2050 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
R Template for HACKtheMACHINE September 22nd and 23rd
Created on Sun Sep 17 13:55:52 2017
@author: danielbrownjr
"""
# Import Packages
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Import package modules
from sklearn.preproc... | mit |
nhejazi/scikit-learn | examples/preprocessing/plot_scaling_importance.py | 45 | 5269 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Importance of Feature Scaling
=========================================================
Feature scaling though standardization (or Z-score normalization)
can be an important preprocessing step for many machine learn... | bsd-3-clause |
loli/semisupervisedforests | sklearn/utils/setup.py | 296 | 2884 | import os
from os.path import join
from sklearn._build_utils import get_blas_info
def configuration(parent_package='', top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
config = Configuration('utils', parent_package, top_path)
config.add_subpackage('sparsetools')
... | bsd-3-clause |
Ginkgo-Biloba/Misc-Python | numpy/Pandas2Excel.py | 1 | 2036 | # coding = utf-8
"""
(2) 读写 Excel 文件
From: https://github.com/wizardforcel/pandas-official-tutorials-zh/blob/master/3.3.md
"""
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
plt.style.use("ggplot")
# 设置种子
np.random.seed(111)
# 生成测试数据的函数
def CreateDataSet(Number=1):
Output = list()
for i in ... | gpl-3.0 |
mclaughlin6464/pdnn | myStuff/show_results.py | 1 | 2141 |
import numpy as np
import sys
import os
import cPickle, gzip
#TODO Not sure what to do with this one, because there isn't a right-wrong to mine. Perhaps average error?
pred_file = sys.argv[1]
if '.gz' in pred_file:
pred_mat = cPickle.load(gzip.open(pred_file, 'rb'))
else:
pred_mat = cPickle.load(open(pred_fil... | apache-2.0 |
tkchafin/mrbait | mrbait/seq_graph.py | 1 | 4798 | #!/usr/bin/python
import networkx as nx
import networkx.algorithms.approximation as nxaa
#import matplotlib.pyplot as plt
import numpy as np
from networkx.utils import powerlaw_sequence
"""Code for ATTEMPTING to approximate the maximal independent set in a graph
of conflicting sequences (e.g. aligned > threshold in p... | gpl-3.0 |
IgorWang/LM4paper | docs/conf.py | 1 | 8689 | # -*- coding: utf-8 -*-
#
# 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 configuration values have a default; values that are commented out
# serve to show the default.
import sys
# ... | gpl-3.0 |
juliandewit/kaggle_ndsb2017 | step2_train_nodule_detector.py | 2 | 19296 | import settings
import helpers
import sys
import os
import glob
import random
import pandas
import ntpath
import cv2
import numpy
from typing import List, Tuple
from keras.optimizers import Adam, SGD
from keras.layers import Input, Convolution2D, MaxPooling2D, UpSampling2D, merge, Convolution3D, MaxPooling3... | mit |
kbase/feature_values | clusterservice/ClusterServicePyImpl.py | 1 | 4205 | #BEGIN_HEADER
import sklearn.cluster as cl
#END_HEADER
class ClusterServicePy:
'''
Module Name:
ClusterServicePy
Module Description:
'''
######## WARNING FOR GEVENT USERS #######
# Since asynchronous IO can lead to methods - even the same method -
# interrupting each other, you ... | mit |
michalmonselise/sparklingpandas | sparklingpandas/prdd.py | 4 | 5745 | """Provide a way to work with pandas data frames in Spark"""
#
# 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-2.0 |
akopich/spark | python/pyspark/sql/context.py | 24 | 24915 | #
# 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 |
einarhuseby/arctic | tests/unit/store/test_version_store_audit.py | 3 | 9790 | from mock import create_autospec, Mock, sentinel, ANY, call
from pymongo.errors import OperationFailure
import pytest
import pandas as pd
from arctic.store.audit import ArcticTransaction
from arctic.store.version_store import VersionedItem, VersionStore
from arctic.exceptions import ConcurrentModificationException, No... | lgpl-2.1 |
numenta/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/image.py | 69 | 28764 | """
The image module supports basic image loading, rescaling and display
operations.
"""
from __future__ import division
import os, warnings
import numpy as np
from numpy import ma
from matplotlib import rcParams
from matplotlib import artist as martist
from matplotlib import colors as mcolors
from matplotlib import... | agpl-3.0 |
dpshelio/sunpy | examples/plotting/hmi_synoptic_maps.py | 1 | 2783 | # coding: utf-8
"""
==============================================
Loading an HMI daily synoptic image into a Map
==============================================
In this example we load the Daily Synoptic Maps produced by the HMI team. This
data is an interesting demonstration of SunPy's Map class as it is not in the
m... | bsd-2-clause |
Britefury/scikit-image | doc/examples/plot_phase_unwrap.py | 14 | 4080 | """
================
Phase Unwrapping
================
Some signals can only be observed modulo 2*pi, and this can also apply to
two- and three dimensional images. In these cases phase unwrapping is
needed to recover the underlying, unwrapped signal. In this example we will
demonstrate an algorithm [1]_ implemented in... | bsd-3-clause |
rs2/pandas | pandas/tests/indexes/period/test_period_range.py | 4 | 3954 | import numpy as np
import pytest
from pandas import NaT, Period, PeriodIndex, date_range, period_range
import pandas._testing as tm
class TestPeriodRange:
@pytest.mark.parametrize("freq", ["D", "W", "M", "Q", "A"])
def test_construction_from_string(self, freq):
# non-empty
expected = date_ran... | bsd-3-clause |
zihua/scikit-learn | sklearn/datasets/tests/test_rcv1.py | 322 | 2414 | """Test the rcv1 loader.
Skipped if rcv1 is not already downloaded to data_home.
"""
import errno
import scipy.sparse as sp
import numpy as np
from sklearn.datasets import fetch_rcv1
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing i... | bsd-3-clause |
th0mmeke/toyworld | util/reaction_distribution.py | 1 | 2778 | """
Created on 13 Aug 2013
@author: thom
"""
import logging
import os
import config
from rdkit.Chem import AllChem as Chem
from emergent_reactions import EmergentReactions
from molecule import Molecule
from chemistry_factory import ChemistryFactory
from physics_factory import PhysicsFactory
if __name__ == '__main... | gpl-3.0 |
EmmaIshta/QUANTAXIS | setup.py | 1 | 3743 | # coding=utf-8
#
# The MIT License (MIT)
#
# Copyright (c) 2016-2017 yutiansut/QUANTAXIS
#
# 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 th... | mit |
Garrett-R/scikit-learn | benchmarks/bench_glm.py | 297 | 1493 | """
A comparison of different methods in GLM
Data comes from a random square matrix.
"""
from datetime import datetime
import numpy as np
from sklearn import linear_model
from sklearn.utils.bench import total_seconds
if __name__ == '__main__':
import pylab as pl
n_iter = 40
time_ridge = np.empty(n_it... | bsd-3-clause |
hlin117/scikit-learn | sklearn/ensemble/tests/test_weight_boosting.py | 28 | 18031 | """Testing for the boost module (sklearn.ensemble.boost)."""
import numpy as np
from sklearn.utils.testing import assert_array_equal, assert_array_less
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal, assert_true, assert_greater
from sklearn.utils.testing impo... | bsd-3-clause |
openturns/otagrum | python/doc/examples/plot_using_otagrum.py | 1 | 5402 | """
Using otagrum
=============
"""
# %%
import openturns as ot
import pyAgrum as gum
from matplotlib import pylab as plt
import otagrum
# %%
def showDot(dotstring):
try:
# fails outside notebook
import pyAgrum.lib.notebook as gnb
gnb.showDot(dotstring)
except ImportError:
impo... | lgpl-3.0 |
cojacoo/testcases_echoRD | gen_test_cXR2.py | 1 | 4225 | import numpy as np
import pandas as pd
import scipy as sp
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import os, sys
try:
import cPickle as pickle
except:
import pickle
#connect echoRD Tools
pathdir='../echoRD' #path to echoRD
lib_path = os.path.abspath(pathdir)
#sys.path.append(lib_pa... | gpl-3.0 |
DOV-Vlaanderen/pydov | tests/test_search_itp_lithologischebeschrijvingen.py | 1 | 4162 | """Module grouping tests for the interpretaties search module."""
import pandas as pd
from owslib.fes import PropertyIsEqualTo
from pydov.search.interpretaties import LithologischeBeschrijvingenSearch
from pydov.types.interpretaties import LithologischeBeschrijvingen
from tests.abstract import AbstractTestSearch
loc... | mit |
fengzhyuan/scikit-learn | sklearn/tests/test_kernel_ridge.py | 342 | 3027 | import numpy as np
import scipy.sparse as sp
from sklearn.datasets import make_regression
from sklearn.linear_model import Ridge
from sklearn.kernel_ridge import KernelRidge
from sklearn.metrics.pairwise import pairwise_kernels
from sklearn.utils.testing import ignore_warnings
from sklearn.utils.testing import assert... | bsd-3-clause |
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