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 |
|---|---|---|---|---|---|
Winand/pandas | pandas/errors/__init__.py | 6 | 1697 | # flake8: noqa
"""
Expose public exceptions & warnings
"""
from pandas._libs.tslib import OutOfBoundsDatetime
class PerformanceWarning(Warning):
"""
Warning raised when there is a possible
performance impact.
"""
class UnsupportedFunctionCall(ValueError):
"""
Exception raised when attemptin... | bsd-3-clause |
dpressel/baseline | scripts/compare_calibrations.py | 1 | 6096 | """Plot and compare the metrics from various calibrated models.
This script creates the following:
* A csv file with columns for the Model Type (the label), and the various calibration metrics
* A grid of graphs, the first row is confidence histograms for each model, the second row is
the reliability di... | apache-2.0 |
WebMole/crawler-benchmark | tests/test_home.py | 1 | 2095 | import matplotlib
matplotlib.use('Agg')
import os
import tempfile
import pytest
import project
@pytest.fixture
def client():
db_fd, project.app.config['DATABASE'] = tempfile.mkstemp()
project.app.config['TESTING'] = True
client = project.app.test_client()
with project.app.app_context():
pro... | gpl-2.0 |
kennethdecker/MagnePlane | paper/images/trade_scripts/pressure_zoom_writer.py | 2 | 7103 | import numpy as np
import matplotlib.pylab as plt
from openmdao.api import Group, Problem, IndepVarComp
from hyperloop.Python import tube_and_pod
# def create_problem(component):
# root = Group()
# prob = Problem(root)
# prob.root.add('comp', component)
# return prob
# class PressureTradeStudy(object... | apache-2.0 |
poppingtonic/BayesDB | bayesdb/tests/experiments/fills_in_the_blanks.py | 2 | 6247 | #
# Copyright (c) 2010-2014, MIT Probabilistic Computing Project
#
# Lead Developers: Jay Baxter and Dan Lovell
# Authors: Jay Baxter, Dan Lovell, Baxter Eaves, Vikash Mansinghka
# Research Leads: Vikash Mansinghka, Patrick Shafto
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may... | apache-2.0 |
rvraghav93/scikit-learn | sklearn/tests/test_isotonic.py | 24 | 14350 | import warnings
import numpy as np
import pickle
import copy
from sklearn.isotonic import (check_increasing, isotonic_regression,
IsotonicRegression)
from sklearn.utils.testing import (assert_raises, assert_array_equal,
assert_true, assert_false, assert... | bsd-3-clause |
xuewei4d/scikit-learn | sklearn/neighbors/_base.py | 4 | 45497 | """Base and mixin classes for nearest neighbors"""
# Authors: Jake Vanderplas <vanderplas@astro.washington.edu>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Sparseness support by Lars Buitinck
# Multi-output support by Arnaud Jol... | bsd-3-clause |
doylew/detectionsc | format_py/n_gram_svm_with_cv.py | 1 | 24856 | ##################################################
######scikit_learn to do the classifications######
##################################################
##################################################
from time import sleep
from sklearn import svm
from sklearn import cross_validation
from sklearn import metrics
impo... | mit |
cdiazbas/enhance | enhance.py | 1 | 7212 | import warnings
# To deactivate future warnings:
# warnings.simplefilter(action='ignore', category=FutureWarning)
warnings.filterwarnings("ignore")
import numpy as np
import platform
import os
import time
import argparse
from astropy.io import fits
import tensorflow as tf
import keras as krs
import keras.backend.tenso... | mit |
physycom/metnum | python/bernoulli2D.py | 1 | 1068 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 19 22:30:58 2018
@author: NICO
"""
import numpy as np # numerical library
import matplotlib.pylab as plt # plot library
import matplotlib.animation as animation # animation plot
#%% Bernoulli2D
bernoulli2D = lambda x : np.mod(2*x, 1) # bernoulli formula
# initial condi... | bsd-2-clause |
keialk/TRAP | TimeSeries.py | 1 | 9396 |
"""
TRAP - Time-series RNA-seq Analysis Package
Created by Kyuri Jo on 2014-02-05.
Copyright (c) 2014 Kyuri Jo. All rights reserved.
This program 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... | gpl-3.0 |
rgommers/statsmodels | statsmodels/sandbox/distributions/otherdist.py | 33 | 10145 | '''Parametric Mixture Distributions
Created on Sat Jun 04 2011
Author: Josef Perktold
Notes:
Compound Poisson has mass point at zero
http://en.wikipedia.org/wiki/Compound_Poisson_distribution
and would need special treatment
need a distribution that has discrete mass points and contiuous range, e.g.
compound Pois... | bsd-3-clause |
timcera/tsgettoolbox | tsgettoolbox/ulmo/usgs/eddn/core.py | 1 | 10407 | # -*- coding: utf-8 -*-
"""
ulmo.usgs.eddn.core
~~~~~~~~~~~~~~~~~~~~~
This module provides access to data provided by the `United States Geological
Survey`_ `Emergency Data Distribution Network`_ web site.
The `DCP message format`_ includes some header information that is parsed and
the messag... | bsd-3-clause |
qe-team/marmot | marmot/experiment/learning_utils.py | 1 | 9015 | # utils for interfacing with Scikit-Learn
import logging
import numpy as np
import copy
from multiprocessing import Pool
from sklearn.metrics import f1_score
from marmot.learning.pystruct_sequence_learner import PystructSequenceLearner
from marmot.experiment.import_utils import call_for_each_element
from marmot.experi... | isc |
erikdejonge/youtube-dl | youtube_dl/extractor/peertube.py | 2 | 25248 | # coding: utf-8
from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..compat import compat_str
from ..utils import (
int_or_none,
parse_resolution,
try_get,
unified_timestamp,
url_or_none,
urljoin,
)
class PeerTubeIE(InfoExtractor):
_INSTANCES_RE = r'... | unlicense |
benjaminhmtan/benjaminhmtan.github.io | markdown_generator/publications.py | 197 | 3887 |
# coding: utf-8
# # Publications markdown generator for academicpages
#
# Takes a TSV of publications with metadata and converts them for use with [academicpages.github.io](academicpages.github.io). This is an interactive Jupyter notebook, with the core python code in publications.py. Run either from the `markdown_g... | mit |
ronak3shah1/ml_lab_ecsc_306 | labwork/lab2/sci-learn/non_linear_regression.py | 120 | 1520 | """
===================================================================
Support Vector Regression (SVR) using linear and non-linear kernels
===================================================================
Toy example of 1D regression using linear, polynomial and RBF kernels.
"""
print(__doc__)
import numpy as np
... | apache-2.0 |
ahoyosid/scikit-learn | examples/plot_johnson_lindenstrauss_bound.py | 134 | 7452 | """
=====================================================================
The Johnson-Lindenstrauss bound for embedding with random projections
=====================================================================
The `Johnson-Lindenstrauss lemma`_ states that any high dimensional
dataset can be randomly projected in... | bsd-3-clause |
bjackman/lisa | libs/utils/analysis/tasks_analysis.py | 2 | 29151 | # SPDX-License-Identifier: Apache-2.0
#
# Copyright (C) 2015, ARM Limited and contributors.
#
# 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
#
# ... | apache-2.0 |
bkendzior/scipy | scipy/stats/_discrete_distns.py | 5 | 21973 | #
# Author: Travis Oliphant 2002-2011 with contributions from
# SciPy Developers 2004-2011
#
from __future__ import division, print_function, absolute_import
from scipy import special
from scipy.special import entr, gammaln as gamln
from scipy.misc import logsumexp
from scipy._lib._numpy_compat import broad... | bsd-3-clause |
cyberphox/MissionPlanner | Lib/site-packages/numpy/fft/fftpack.py | 59 | 39653 | """
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... | gpl-3.0 |
DR08/mxnet | docs/mxdoc.py | 7 | 12702 | # 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 u... | apache-2.0 |
slundberg/shap | tests/explainers/test_gpu_tree.py | 1 | 6842 | # pylint: disable=missing-function-docstring
""" Test gpu accelerated tree functions.
"""
import sklearn
import pytest
import numpy as np
import shap
from shap.utils import assert_import
try:
assert_import("cext_gpu")
except ImportError:
pytestmark = pytest.mark.skip("cuda module not built")
def test_front_p... | mit |
nikitasingh981/scikit-learn | examples/classification/plot_lda_qda.py | 32 | 5381 | """
====================================================================
Linear and Quadratic Discriminant Analysis with covariance ellipsoid
====================================================================
This example plots the covariance ellipsoids of each class and
decision boundary learned by LDA and QDA. The... | bsd-3-clause |
nophie-123/sms-tools | software/transformations_interface/hpsMorph_function.py | 24 | 7354 | # function for doing a morph between two sounds using the hpsModel
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import get_window
import sys, os
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), '../models/'))
sys.path.append(os.path.join(os.path.dirname(os.path.realpath... | agpl-3.0 |
jason-neal/equanimous-octo-tribble | octotribble/extraction/dracs_quicklooks2017.py | 1 | 10650 | # DRACS Output quicklook/status.
# Plot all 8 reduced spectra
# Plot all 8 normalized reduced spectra
# plot mean combined and median combined spectra.
from __future__ import division, print_function
import argparse
import os
import sys
from os.path import join
import matplotlib.pyplot as plt
import numpy as np
fro... | mit |
SanPen/CopperPlate | Gui/matplotlibwidget.py | 1 | 8175 | # This file is part of GridCal.
#
# GridCal 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.
#
# GridCal is distributed in the hope that... | gpl-3.0 |
sbrisard/janus | sphinx/tutorials/square_basic/square_basic.py | 1 | 3972 | # Begin: imports
import itertools
import numpy as np
import matplotlib.pyplot as plt
import janus.green as green
import janus.fft.serial as fft
import janus.material.elastic.linear.isotropic as material
import janus.operators as operators
from janus.operators import isotropic_4
# End: imports
# Begin: init
class Ex... | bsd-3-clause |
sys-bio/tellurium | docs/conf.py | 1 | 10266 | # -*- coding: utf-8 -*-
#
# tellurium documentation build configuration file, created by
# sphinx-quickstart on Fri Jan 22 13:08:36 2016.
#
# 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.
#
#... | apache-2.0 |
m4rx9/rna-pdb-tools | rna_tools/tools/PyMOL4RNA/PyMOL4Spliceosome.py | 2 | 11183 | """
See the PyMOL Sessions processed with this code here <https://github.com/mmagnus/PyMOL4Spliceosome>
"""
from pymol import cmd
from rna_tools.tools.PyMOL4RNA import code_for_color_spl
from rna_tools.tools.PyMOL4RNA import code_for_spl
try:
from pymol import cmd
except ImportError:
print("PyMOL Python lib is... | mit |
lukeiwanski/tensorflow-opencl | tensorflow/contrib/learn/python/learn/learn_io/pandas_io_test.py | 18 | 5832 | # Copyright 2015 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 |
saimn/glue | glue/viewers/image/layer_artist.py | 2 | 11664 | from __future__ import absolute_import, division, print_function
import logging
from abc import ABCMeta, abstractproperty, abstractmethod
import numpy as np
from matplotlib.cm import gray
from glue.external import six
from glue.core.exceptions import IncompatibleAttribute
from glue.core.layer_artist import Matplotli... | bsd-3-clause |
danielSbastos/face-recognition-scienceFair | detect_webcam.py | 1 | 6003 | #libraries to plot face features
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from PIL import Image
import numpy as np
#libraries for apiconnection
import requests
import json
import sys
#Libraries to take photo with webcam
import pygame
import pygame.camera
from pygame.locals import *
''' TA... | mit |
marcocaccin/scikit-learn | sklearn/mixture/gmm.py | 6 | 31222 | """
Gaussian Mixture Models.
This implementation corresponds to frequentist (non-Bayesian) formulation
of Gaussian Mixture Models.
"""
# Author: Ron Weiss <ronweiss@gmail.com>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Bertrand Thirion <bertrand.thirion@inria.fr>
import warnings
import numpy as... | bsd-3-clause |
litaotao/mpld3 | doc/sphinxext/plot_generator.py | 19 | 10614 | import sys
import os
import glob
import token
import tokenize
import shutil
import json
import matplotlib
matplotlib.use('Agg') # don't display plots
import mpld3
from matplotlib import image
from matplotlib.figure import Figure
class disable_mpld3(object):
"""Context manager to temporarily disable mpld3.show(... | bsd-3-clause |
jordanopensource/data-science-bootcamp | MachineLearning/Session3/k_means_cluster.py | 1 | 2249 | import pickle
import numpy
import matplotlib.pyplot as plt
import sys
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit
def Draw(pred, features, poi, mark_poi=False, name="image.png", f1_name="feature 1", f2_name="feature 2"):
""" some plotting code designed to help you v... | mit |
ChanChiChoi/scikit-learn | examples/model_selection/plot_train_error_vs_test_error.py | 349 | 2577 | """
=========================
Train error vs Test error
=========================
Illustration of how the performance of an estimator on unseen data (test data)
is not the same as the performance on training data. As the regularization
increases the performance on train decreases while the performance on test
is optim... | bsd-3-clause |
neutrons/FastGR | addie/processing/idl/table_handler.py | 1 | 22403 | from __future__ import (absolute_import, division, print_function)
#import re
import glob
import os
import numpy as np
from qtpy.QtCore import (Qt)
from qtpy.QtGui import (QCursor)
from qtpy.QtWidgets import (QFileDialog, QMenu, QMessageBox, QTableWidgetSelectionRange)
import addie.processing.idl.populate_master_table... | mit |
yyjiang/scikit-learn | examples/cross_decomposition/plot_compare_cross_decomposition.py | 142 | 4761 | """
===================================
Compare cross decomposition methods
===================================
Simple usage of various cross decomposition algorithms:
- PLSCanonical
- PLSRegression, with multivariate response, a.k.a. PLS2
- PLSRegression, with univariate response, a.k.a. PLS1
- CCA
Given 2 multivari... | bsd-3-clause |
RichardTMR/homework | week1/class1_linear_regression.py | 1 | 3290 | import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets, linear_model
def plot_line(x, y, y_hat,line_color='blue'):
# Plot outputs
plt.scatter(x, y, color='black')
plt.plot(x, y_hat, color=line_color,
linewidth=3)
plt.xticks(())
plt.yticks(())
plt.show()
... | apache-2.0 |
jyhmiinlin/cineFSE | GeRaw/phantom.py | 2 | 5548 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 14 17:22:39 2011
Copied from Alex Opie (see below)
@author: Eric
"""
## Copyright (C) 2010 Alex Opie <lx_op@orcon.net.nz>
##
## This program is free software; you can redistribute it and/or modify it
## under the terms of the GNU General Public License as pu... | gpl-3.0 |
nilmtk/nilmtk | nilmtk/disaggregate/fhmm_exact.py | 1 | 10107 | import itertools
from copy import deepcopy
from collections import OrderedDict
from warnings import warn
import pickle
import nilmtk
import pandas as pd
import numpy as np
from hmmlearn import hmm
from nilmtk.feature_detectors import cluster
from nilmtk.disaggregate import Disaggregator
from nilmtk.datastore import HD... | apache-2.0 |
bzero/statsmodels | statsmodels/sandbox/examples/try_quantile_regression.py | 33 | 1302 | '''Example to illustrate Quantile Regression
Author: Josef Perktold
'''
import numpy as np
from statsmodels.compat.python import zip
import statsmodels.api as sm
from statsmodels.regression.quantile_regression import QuantReg
sige = 5
nobs, k_vars = 500, 5
x = np.random.randn(nobs, k_vars)
#x[:,0] = 1
y = x.sum(1) ... | bsd-3-clause |
IndraVikas/scikit-learn | sklearn/linear_model/setup.py | 169 | 1567 | import os
from os.path import join
import numpy
from sklearn._build_utils import get_blas_info
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('linear_model', parent_package, top_path)
cblas_libs, blas_info = get_blas_info... | bsd-3-clause |
LaurencePeanuts/Music | beatbox/ctu2015.py | 3 | 9335 | import numpy as np
import matplotlib.pylab as plt
import ipdb
plt.ion()
np.random.seed(3) # for reproduceability
r_cmb_mpc = 14.0
cmap = 'gray'
vscale = 15.
def demo():
"""
Short demo made at the "Compute the Universe 2015" Hack Week,
Berkeley. This was originally part of the "universe" class file
... | mit |
jooojo/cnnTSR | train.py | 1 | 2490 | #%%
'''Reads traffic sign data for German Traffic Sign Recognition Benchmark. '''
from os.path import join
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.misc import imresize
from sklearn.model_selection import train_test_split
TRAIN_PATH = r".\Final_Training\Images"
imag... | mit |
RomainBrault/scikit-learn | examples/linear_model/plot_sparse_recovery.py | 70 | 7486 | """
============================================================
Sparse recovery: feature selection for sparse linear models
============================================================
Given a small number of observations, we want to recover which features
of X are relevant to explain y. For this :ref:`sparse linear ... | bsd-3-clause |
wzbozon/statsmodels | statsmodels/tsa/stattools.py | 26 | 37127 | """
Statistical tools for time series analysis
"""
from statsmodels.compat.python import (iteritems, range, lrange, string_types, lzip,
zip, map)
import numpy as np
from numpy.linalg import LinAlgError
from scipy import stats
from statsmodels.regression.linear_model import OLS, yule_walk... | bsd-3-clause |
dmitryduev/pypride | src/pypride/classes.py | 1 | 108453 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 7 17:05:04 2013
Definitions of classes used in pypride
@author: Dmitry A. Duev
"""
import ConfigParser
import datetime
from astropy.time import Time
#import sys
import numpy as np
import scipy as sp
#from matplotlib.cbook import flatten
from math import *
#from math i... | gpl-2.0 |
nhejazi/scikit-learn | sklearn/linear_model/tests/test_omp.py | 76 | 7752 | # Author: Vlad Niculae
# License: BSD 3 clause
import numpy as np
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equa... | bsd-3-clause |
jmschrei/scikit-learn | sklearn/gaussian_process/gpr.py | 9 | 18634 | """Gaussian processes regression. """
# Authors: Jan Hendrik Metzen <jhm@informatik.uni-bremen.de>
#
# License: BSD 3 clause
import warnings
from operator import itemgetter
import numpy as np
from scipy.linalg import cholesky, cho_solve, solve_triangular
from scipy.optimize import fmin_l_bfgs_b
from sklearn.base im... | bsd-3-clause |
samzhang111/scikit-learn | examples/applications/plot_tomography_l1_reconstruction.py | 81 | 5461 | """
======================================================================
Compressive sensing: tomography reconstruction with L1 prior (Lasso)
======================================================================
This example shows the reconstruction of an image from a set of parallel
projections, acquired along dif... | bsd-3-clause |
huobaowangxi/scikit-learn | sklearn/manifold/tests/test_spectral_embedding.py | 216 | 8091 | from nose.tools import assert_true
from nose.tools import assert_equal
from scipy.sparse import csr_matrix
from scipy.sparse import csc_matrix
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_array_equal
from nose.tools import assert_raises
from nose.plugins.skip import SkipTest
from sk... | bsd-3-clause |
SixTrack/SixTrack | test/elensidealthin6d/elens_plot_kick.py | 1 | 1663 | import matplotlib.pyplot as plt
import numpy as np
r2hel1=6.928 # from fort.3 [mm]
sig=r2hel1/6 # 1 sigma beam size, hel1 between 4-6 sigma
offsetx=-1.1547
offsety=-2.3093
theta_r2=4.920e-03 # max. kick [mrad]
oFile=open('kicks.dat','w')
plt.figure('elens kick',figsize=(13,13))
for fnin,fnout,offx,offy,R,R2f,peakT i... | lgpl-2.1 |
mutirri/bokeh | examples/glyphs/colors.py | 25 | 8920 | from __future__ import print_function
from math import pi
import pandas as pd
from bokeh.models import Plot, ColumnDataSource, FactorRange, CategoricalAxis, TapTool, HoverTool, OpenURL
from bokeh.models.glyphs import Rect
from bokeh.document import Document
from bokeh.embed import file_html
from bokeh.resources impor... | bsd-3-clause |
tedmeeds/tcga_encoder | tcga_encoder/analyses/kmeans_from_z_space_global_learn_survival.py | 1 | 17736 | from tcga_encoder.utils.helpers import *
from tcga_encoder.data.data import *
from tcga_encoder.definitions.tcga import *
#from tcga_encoder.definitions.nn import *
from tcga_encoder.definitions.locations import *
#from tcga_encoder.algorithms import *
import seaborn as sns
from sklearn.manifold import TSNE, locally_li... | mit |
inodb/sufam | sufam/__main__.py | 1 | 14002 | #!/usr/bin/env python
"""
So U Found A Mutation? (SUFAM)
Found a mutation in one or more samples? Now you want to check if they are in
another sample. Unfortunately mutect, varscan or whatever other variant caller
is not calling them. Use SUFAM. The super sensitive validation caller that
calls everything on a given po... | mit |
ddempsey/PyFEHM | fvars.py | 1 | 44312 | """Functions for FEHM thermodynamic variables calculations."""
"""
Copyright 2013.
Los Alamos National Security, LLC.
This material was produced under U.S. Government contract DE-AC52-06NA25396 for
Los Alamos National Laboratory (LANL), which is operated by Los Alamos National
Security, LLC for the U.S. Depa... | lgpl-2.1 |
metpy/MetPy | examples/Four_Panel_Map.py | 6 | 4683 | # Copyright (c) 2017 MetPy Developers.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""
Four Panel Map
===============
By reading model output data from a netCDF file, we can create a four panel plot showing:
* 300 hPa heights and winds
* 500 hPa heights and absol... | bsd-3-clause |
andyk/cluster-scheduler-simulator | src/main/python/graphing-scripts/utils.py | 1 | 3341 | # Copyright (c) 2013, Regents of the University of California
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# Redistributions of source code must retain the above copyright notice, this
# list o... | bsd-3-clause |
DGrady/pandas | pandas/core/series.py | 2 | 102152 | """
Data structure for 1-dimensional cross-sectional and time series data
"""
from __future__ import division
# pylint: disable=E1101,E1103
# pylint: disable=W0703,W0622,W0613,W0201
import types
import warnings
from textwrap import dedent
import numpy as np
import numpy.ma as ma
from pandas.core.dtypes.common impor... | bsd-3-clause |
TomAugspurger/pandas | pandas/tests/frame/methods/test_update.py | 4 | 4259 | import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame, Series, date_range
import pandas._testing as tm
class TestDataFrameUpdate:
def test_update_nan(self):
# #15593 #15617
# test 1
df1 = DataFrame({"A": [1.0, 2, 3], "B": date_range("2000", periods=3)})
... | bsd-3-clause |
krebeljk/openInjMoldSim | tutorials/demo/dogbone/plot_co.py | 3 | 1072 | import numpy as np
from io import StringIO
import matplotlib.pyplot as plt
import re
import sys
'''
example usage:
python plot_dt.py log.openInjMoldSimFimaaIbac
'''
# get data
cas = ''
coMean = ''
coMax = ''
with open(str(sys.argv[1])) as origin_file:
data = origin_file.read()
for match in re.findall(r'(?m)^Tim... | gpl-3.0 |
lauralwatkins/voronoi | example/test.py | 1 | 1615 | """
Demo by G. Brammer
"""
import numpy as np
from voronoi import bin2d
import matplotlib.pyplot as plt
# Noisy gaussian
yp, xp = np.indices((100,100))
R = np.sqrt((xp-50)**2+(yp-50)**2)
sigma = 10
g = 10*np.exp(-R**2/2/sigma**2)
s = 1
noise = np.random.normal(size=R.shape)*s
pix_bin, bin_x, bin_y, bin_sn, bin_npix, ... | bsd-2-clause |
ojustino/test-demo | 3ps/bayes.py | 1 | 1826 | import numpy as np
import matplotlib.pyplot as plt
'''data should be whether or not a star had a companion.
so d is an a array with three 1s and 18 0s.'''
'''f = .8
d_i = np.array([1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]) # for 21 stars
N = 0; k = 0
j = 0
while(j < len(d_i)):
N += 1
if d_i[j] == 1:
... | mit |
liuzhaoguo/FreeROI-1 | froi/gui/component/unused/volumedintensitydialog.py | 6 | 2368 | __author__ = 'zhouguangfu'
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
from PyQt4.QtCore import *
from PyQt4.QtGui import *
import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplo... | bsd-3-clause |
leewujung/ooi_sonar | misc_source_files/decomp_plot.py | 1 | 5722 | import sys
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
def separate_transform_result(D,ori_data,ping_per_day_mvbs,log_opt=1):
'''
Separate transformed results into different frequencies and
for use with `plot_cmp_data_decomp` and `plot_single... | apache-2.0 |
thientu/scikit-learn | sklearn/linear_model/tests/test_logistic.py | 59 | 35368 | import numpy as np
import scipy.sparse as sp
from scipy import linalg, optimize, sparse
import scipy
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from... | bsd-3-clause |
Titan-C/scikit-learn | sklearn/kernel_approximation.py | 7 | 18505 | """
The :mod:`sklearn.kernel_approximation` module implements several
approximate kernel feature maps base on Fourier transforms.
"""
# Author: Andreas Mueller <amueller@ais.uni-bonn.de>
#
# License: BSD 3 clause
import warnings
import numpy as np
import scipy.sparse as sp
from scipy.linalg import svd
from .base im... | bsd-3-clause |
sbonner0/DeepTopologyClassification | src/legacy/DataGeneration/GenFingerPrint.py | 1 | 1814 | from graph_tool.all import *
import os, csv, time, datetime, sys
import GFP
import pickle
import numpy as np
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
def loadDataAndGenPKL(inputdir, filename):
filehandler = open(filename, 'wb')
# Load the graph data. Need to think about the dire... | gpl-3.0 |
marcua/qurk_experiments | qurkexp/join/bestfit.py | 1 | 1419 | #!/usr/bin/env python
import sys
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from scipy.stats.stats import ss
#setup_environ(settings)
from scipy import stats
def sigmoid(x, x0, k):
y = 1 / (1 + np.exp(-k*(x-x0)))
return y
def regress(x, y, howmuch):
# polyno... | bsd-3-clause |
vybstat/scikit-learn | benchmarks/bench_random_projections.py | 397 | 8900 | """
===========================
Random projection benchmark
===========================
Benchmarks for random projections.
"""
from __future__ import division
from __future__ import print_function
import gc
import sys
import optparse
from datetime import datetime
import collections
import numpy as np
import scipy.s... | bsd-3-clause |
AlertaDengue/InfoDenguePredict | infodenguepredict/models/visualizations/metrics_viz.py | 1 | 7870 | import pandas as pd
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
from sqlalchemy import create_engine
from decouple import config
from infodenguepredict.data.infodengue import get_cluster_data, get_city_names
from infodenguepredict.models.random_forest import build_lagged_features
def l... | gpl-3.0 |
hickerson/bbn | fable/fable_sources/libtbx/auto_build/package_defs.py | 1 | 1935 |
"""
Listing of current dependencies for CCTBX and related applications (including
LABELIT, xia2, DIALS, and Phenix with GUI). Not all of these can be downloaded
via the web (yet).
"""
from __future__ import division
BASE_CCI_PKG_URL = "http://cci.lbl.gov/third_party"
BASE_XIA_PKG_URL = "http://www.ccp4.ac.uk/xia"
... | mit |
gviejo/ThalamusPhysio | python/figure_article/main_article_fig_supp_1.py | 1 | 16135 | #!/usr/bin/env python
import sys
sys.path.append("../")
import numpy as np
import pandas as pd
import scipy.io
from functions import *
from sklearn.decomposition import PCA
import _pickle as cPickle
import neuroseries as nts
import sys
import scipy.ndimage.filters as filters
from sklearn.mixture import GaussianMixtu... | gpl-3.0 |
makelove/OpenCV-Python-Tutorial | ch46-机器学习-K近邻/2-使用kNN对手写数字OCR.py | 1 | 1987 | # -*- coding: utf-8 -*-
# @Time : 2017/7/13 下午7:32
# @Author : play4fun
# @File : 2-使用kNN对手写数字OCR.py
# @Software: PyCharm
"""
2-使用kNN对手写数字OCR.py:
"""
# 准备数据
import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread('../data/digits.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
... | mit |
bmazin/SDR | Projects/FirmwareTests/darkDebug/a2gPhaseStreamTest.py | 1 | 17461 | """
File: a2gPhaseStreamTest.py
Author: Matt Strader
Date: Jun 29, 2016
Firmware: darksc2_2016_Jun_28_1925.fpg
This script inserts a phase pulse in the qdr dds table. It checks snap blocks for each stage of the channelization process. In the end the phase pulse should be recovered in the phase timestre... | gpl-2.0 |
BhallaLab/moose-examples | traub_2005/py/display_morphology.py | 1 | 5931 | # display_morphology.py ---
#
# Filename: display_morphology.py
# Description:
# Author:
# Maintainer:
# Created: Fri Mar 8 11:26:13 2013 (+0530)
# Version:
# Last-Updated: Sun Jun 25 15:09:55 2017 (-0400)
# By: subha
# Update #: 390
# URL:
# Keywords:
# Compatibility:
#
#
# Commentary:
#
#... | gpl-2.0 |
ephes/scikit-learn | sklearn/decomposition/pca.py | 192 | 23117 | """ Principal Component Analysis
"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Mathieu Blondel <mathieu@mblondel.org>
# Denis A. Engemann <d.engemann@fz-juelich.de>
# Michael Eickenberg <michael.eickenberg@inria.fr>
#
# Lice... | bsd-3-clause |
datapythonista/pandas | pandas/tests/tslibs/test_fields.py | 3 | 1124 | import numpy as np
from pandas._libs.tslibs import fields
import pandas._testing as tm
def test_fields_readonly():
# https://github.com/vaexio/vaex/issues/357
# fields functions shouldn't raise when we pass read-only data
dtindex = np.arange(5, dtype=np.int64) * 10 ** 9 * 3600 * 24 * 32
dtindex.fla... | bsd-3-clause |
jpautom/scikit-learn | sklearn/feature_extraction/image.py | 263 | 17600 | """
The :mod:`sklearn.feature_extraction.image` submodule gathers utilities to
extract features from images.
"""
# Authors: Emmanuelle Gouillart <emmanuelle.gouillart@normalesup.org>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Olivier Grisel
# Vlad Niculae
# License: BSD 3 clause
fro... | bsd-3-clause |
dpaiton/OpenPV | pv-core/analysis/python/plot_fourier_activity.py | 1 | 40569 | """
Plot the highest activity of four different bar positionings
"""
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import matplotlib.cm as cm
import PVReadSparse as rs
import PVReadWeights as rw
import PVConversions as conv
import scipy.cluster.vq as sp
import math
import ... | epl-1.0 |
kjung/scikit-learn | doc/datasets/mldata_fixture.py | 367 | 1183 | """Fixture module to skip the datasets loading when offline
Mock urllib2 access to mldata.org and create a temporary data folder.
"""
from os import makedirs
from os.path import join
import numpy as np
import tempfile
import shutil
from sklearn import datasets
from sklearn.utils.testing import install_mldata_mock
fr... | bsd-3-clause |
raymond91125/tissue_enrichment_tool_hypergeometric_test | tea_paper_docs/src/hgf_benchmark_script.py | 4 | 14884 | # -*- coding: utf-8 -*-
"""
A script to benchmark TEA.
@david angeles
dangeles@caltech.edu
"""
import tissue_enrichment_analysis as tea # the library to be used
import pandas as pd
import os
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import re
import matplotlib as mpl
sns.set_context('... | mit |
lthurlow/Network-Grapher | proj/external/matplotlib-1.2.1/doc/mpl_examples/pylab_examples/image_interp.py | 6 | 1923 | #!/usr/bin/env python
"""
The same (small) array, interpolated with three different
interpolation methods.
The center of the pixel at A[i,j] is plotted at i+0.5, i+0.5. If you
are using interpolation='nearest', the region bounded by (i,j) and
(i+1,j+1) will have the same color. If you are using interpolation,
the pi... | mit |
markslwong/tensorflow | tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined_test.py | 9 | 67662 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | apache-2.0 |
samzhang111/scikit-learn | sklearn/neighbors/tests/test_dist_metrics.py | 230 | 5234 | import itertools
import pickle
import numpy as np
from numpy.testing import assert_array_almost_equal
import scipy
from scipy.spatial.distance import cdist
from sklearn.neighbors.dist_metrics import DistanceMetric
from nose import SkipTest
def dist_func(x1, x2, p):
return np.sum((x1 - x2) ** p) ** (1. / p)
de... | bsd-3-clause |
tdhopper/scikit-learn | examples/plot_multioutput_face_completion.py | 330 | 3019 | """
==============================================
Face completion with a multi-output estimators
==============================================
This example shows the use of multi-output estimator to complete images.
The goal is to predict the lower half of a face given its upper half.
The first column of images sho... | bsd-3-clause |
xwolf12/scikit-learn | examples/classification/plot_classification_probability.py | 242 | 2624 | """
===============================
Plot classification probability
===============================
Plot the classification probability for different classifiers. We use a 3
class dataset, and we classify it with a Support Vector classifier, L1
and L2 penalized logistic regression with either a One-Vs-Rest or multinom... | bsd-3-clause |
hlin117/statsmodels | statsmodels/graphics/gofplots.py | 29 | 26714 | from statsmodels.compat.python import lzip, string_types
import numpy as np
from scipy import stats
from statsmodels.regression.linear_model import OLS
from statsmodels.tools.tools import add_constant
from statsmodels.tools.decorators import (resettable_cache,
cache_readonly,
... | bsd-3-clause |
sk2/ank_le | AutoNetkit/plotting/PathDrawer.py | 1 | 13638 | """
**********
PathDrawer
**********
Draw multiple paths in a graph. Uses matplotlib (pylab).
The path corners are rounded with the help of cube Bezier curves.
If two or more paths traverse the same edge, they are automatically shifted to make them all visible.
References:
- matplotlib: http://m... | bsd-3-clause |
ADicksonLab/wepy | src/wepy/analysis/network.py | 1 | 52176 | """Module that allows for imposing a kinetically connected network
structure of weighted ensemble simulation data.
"""
from collections import defaultdict
from copy import deepcopy
import gc
import numpy as np
import networkx as nx
from wepy.analysis.transitions import (
transition_counts,
counts_d_to_matrix... | mit |
astroML/astroML | astroML/plotting/mcmc.py | 5 | 4279 | import numpy as np
def convert_to_stdev(logL):
"""
Given a grid of log-likelihood values, convert them to cumulative
standard deviation. This is useful for drawing contours from a
grid of likelihoods.
"""
sigma = np.exp(logL)
shape = sigma.shape
sigma = sigma.ravel()
# obtain th... | bsd-2-clause |
wzbozon/scikit-learn | examples/svm/plot_separating_hyperplane_unbalanced.py | 329 | 1850 | """
=================================================
SVM: Separating hyperplane for unbalanced classes
=================================================
Find the optimal separating hyperplane using an SVC for classes that
are unbalanced.
We first find the separating plane with a plain SVC and then plot
(dashed) the ... | bsd-3-clause |
martinwicke/tensorflow | tensorflow/contrib/learn/python/learn/tests/dataframe/feeding_functions_test.py | 30 | 4777 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | apache-2.0 |
nrhine1/scikit-learn | sklearn/utils/estimator_checks.py | 33 | 48331 | from __future__ import print_function
import types
import warnings
import sys
import traceback
import inspect
import pickle
from copy import deepcopy
import numpy as np
from scipy import sparse
import struct
from sklearn.externals.six.moves import zip
from sklearn.externals.joblib import hash, Memory
from sklearn.ut... | bsd-3-clause |
jasoncorso/kittipy | kitti/velodyne.py | 2 | 4979 | import os
import numpy as np
from kitti.data import get_drive_dir, Calib, get_inds, image_shape, get_calib_dir
def get_velodyne_dir(drive, **kwargs):
drive_dir = get_drive_dir(drive, **kwargs)
return os.path.join(drive_dir, 'velodyne_points', 'data')
def load_velodyne_points(drive, frame, **kwargs):
v... | mit |
febert/DeepRL | easy21/sarsa_lambda.py | 1 | 3748 | import cPickle
import matplotlib.pyplot as plt
from sklearn.metrics import mean_squared_error
from math import sqrt
from mpl_toolkits.mplot3d import axes3d
import os
os.environ["FONTCONFIG_PATH"]="/etc/fonts"
#
# import time
#
# def procedure():
# time.sleep(2.5)
#
# # measure process time
# t0 = time.clock()
# ... | gpl-3.0 |
soazig/project-epsilon-1 | code/utils/scripts/convolution_normal_script.py | 3 | 3081 |
"""
Purpose:
-----------------------------------------------------------------------------------
We generate convolved hemodynamic neural prediction into seperated txt files for
all four conditions (task, gain, lost, distance), and also generate plots for 4
BOLD signals over time for each of them too.
Steps:
-----... | bsd-3-clause |
kingaza/kaggle | Bowl2017/preprocess.py | 1 | 10729 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 16 14:29:45 2017
@author: hejiew
"""
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import dicom
import os
import h5py
import scipy.ndimage
import scipy.signal
import matplotlib.pyplot as plt
import skimage.ut... | mit |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.