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 |
|---|---|---|---|---|---|
0asa/scikit-learn | examples/cluster/plot_digits_linkage.py | 369 | 2959 | """
=============================================================================
Various Agglomerative Clustering on a 2D embedding of digits
=============================================================================
An illustration of various linkage option for agglomerative clustering on
a 2D embedding of the di... | bsd-3-clause |
lukebarnard1/bokeh | sphinx/source/docs/tutorials/solutions/stocks.py | 23 | 2799 | ###
### NOTE: This exercise requires a network connection
###
import numpy as np
import pandas as pd
from bokeh.plotting import figure, output_file, show, VBox
# Here is some code to read in some stock data from the Yahoo Finance API
AAPL = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000&d=... | bsd-3-clause |
pravsripad/mne-python | tutorials/stats-source-space/plot_stats_cluster_time_frequency_repeated_measures_anova.py | 16 | 10098 | """
.. _tut-timefreq-twoway-anova:
====================================================================
Mass-univariate twoway repeated measures ANOVA on single trial power
====================================================================
This script shows how to conduct a mass-univariate repeated measures
ANOVA. ... | bsd-3-clause |
YihaoLu/statsmodels | statsmodels/sandbox/tests/test_predict_functional.py | 29 | 12873 | from statsmodels.sandbox.predict_functional import predict_functional
import numpy as np
import pandas as pd
import statsmodels.api as sm
from numpy.testing import dec
# If true, the output is written to a multi-page pdf file.
pdf_output = False
try:
import matplotlib.pyplot as plt
import matplotlib
have_... | bsd-3-clause |
pubnub/Zopkio | zopkio/test_runner.py | 1 | 22763 | # Copyright 2015 LinkedIn Corp.
#
# 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.... | apache-2.0 |
Sentient07/scikit-learn | sklearn/metrics/classification.py | 7 | 72557 | """Metrics to assess performance on classification task given class prediction
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Alexandre Gramfort <alexandre.gramf... | bsd-3-clause |
jsamoocha/pysweat | pysweat/persistence/activities.py | 1 | 2104 | from pymongo import UpdateOne
import pandas as pd
import numpy as np
import json
import logging
from pymongo.errors import BulkWriteError
def load_activities(mongo, **query):
return pd.DataFrame(list(mongo.db.activities.find(query)))
def __should_write_field(key, value):
if key != 'strava_id':
try:... | apache-2.0 |
shahankhatch/scikit-learn | examples/missing_values.py | 233 | 3056 | """
======================================================
Imputing missing values before building an estimator
======================================================
This example shows that imputing the missing values can give better results
than discarding the samples containing any missing value.
Imputing does not ... | bsd-3-clause |
tynano/slicematrixIO-python | slicematrixIO/matrices.py | 1 | 3516 | from core import BasePipeline
from utils import rando_name
from uuid import uuid4
import pandas as pd
class DistanceMatrixPipeline(BasePipeline):
def __init__(self, name, kernel = "euclidean", geodesic = False, K = 5, kernel_params = {}, client = None):
params = {"k": K,
"kernel": kernel,... | mit |
houghb/savvy | savvy/plotting.py | 2 | 22776 | """
This module creates plots for visualizing sensitivity analysis dataframes.
`make_plot()` creates a radial plot of the first and total order indices.
`make_second_order_heatmap()` creates a square heat map showing the second
order interactions between model parameters.
"""
from collections import OrderedDict
imp... | bsd-2-clause |
leesavide/pythonista-docs | Documentation/matplotlib/mpl_examples/pylab_examples/legend_auto.py | 3 | 2281 | """
This file was written to test matplotlib's autolegend placement
algorithm, but shows lots of different ways to create legends so is
useful as a general examples
Thanks to John Gill and Phil ?? for help at the matplotlib sprint at
pycon 2005 where the auto-legend support was written.
"""
from pylab import *
import ... | apache-2.0 |
pgdr/ert | share/workflows/jobs/internal-gui/scripts/gen_data_rft_export.py | 1 | 8462 | import os
import re
import numpy
import pandas
from PyQt4.QtGui import QCheckBox
from ecl.ecl.rft import WellTrajectory
from res.enkf import ErtPlugin, CancelPluginException
from res.enkf import RealizationStateEnum
from res.enkf.enums import EnkfObservationImplementationType
from res.enkf.export import GenDataCollec... | gpl-3.0 |
nmartensen/pandas | pandas/tests/io/msgpack/test_unpack.py | 22 | 1948 | from io import BytesIO
import sys
from pandas.io.msgpack import Unpacker, packb, OutOfData, ExtType
import pytest
class TestUnpack(object):
def test_unpack_array_header_from_file(self):
f = BytesIO(packb([1, 2, 3, 4]))
unpacker = Unpacker(f)
assert unpacker.read_array_header() == 4
... | bsd-3-clause |
aruneral01/auto-sklearn | autosklearn/submit_process.py | 5 | 5215 | import shlex
import os
import subprocess
import lockfile
import autosklearn.cli.SMAC_cli_holdout
from autosklearn.constants import *
def submit_call(call, seed, log_dir=None):
print "Calling: " + call
call = shlex.split(call)
if log_dir is None:
proc = subprocess.Popen(call, stdout=open(os.devn... | bsd-3-clause |
PyCQA/pydocstyle | src/tests/test_cases/canonical_numpy_examples.py | 3 | 5315 | """This is the docstring for the example.py module. Modules names should
have short, all-lowercase names. The module name may have underscores if
this improves readability.
Every module should have a docstring at the very top of the file. The
module's docstring may extend over multiple lines. If your docstring doe... | mit |
wschenck/nest-simulator | examples/nest/Potjans_2014/spike_analysis.py | 20 | 6437 | # -*- coding: utf-8 -*-
#
# spike_analysis.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 |
mohseniaref/PySAR-1 | pysar/add.py | 1 | 3771 | #! /usr/bin/env python
############################################################
# Program is part of PySAR v1.0 #
# Copyright(c) 2013, Heresh Fattahi #
# Author: Heresh Fattahi #
#####################################################... | mit |
rc/gensei | volume_slicer.py | 1 | 10647 | #!/usr/bin/env python
import os, glob, copy, time
from optparse import OptionParser
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import colorConverter
from gensei.base import *
from gensei import Objects, Box
from gensei.utils import get_suffix
def generate_slices(objects, box, options, o... | bsd-3-clause |
tareqmalas/girih | scripts/sisc/paper_energy_analysis.py | 2 | 3824 | #!/usr/bin/env python
def main():
import sys
raw_data = load_csv(sys.argv[1])
create_table(raw_data)
def get_stencil_num(k):
# add the stencil operator
if k['Stencil Kernel coefficients'] in 'constant':
if int(k['Stencil Kernel semi-bandwidth'])==4:
stencil = '25pt_const'
... | bsd-3-clause |
Pinafore/qb | protobowl_user.py | 2 | 3709 | import os
import itertools
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use("Agg")
from multiprocessing import Pool
from datetime import datetime
from plotnine import (
ggplot,
aes,
theme,
geom_density,
geom_histogram,
geom_point,
scale_color_gradient,
)
from qanta.b... | mit |
MingdaZhou/gnuradio | gr-filter/examples/synth_filter.py | 58 | 2552 | #!/usr/bin/env python
#
# Copyright 2010,2012,2013 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 ... | gpl-3.0 |
chvogl/tardis | tardis/util.py | 7 | 13796 | # Utilities for TARDIS
from astropy import units as u, constants, units
import numpy as np
import os
import yaml
import re
import logging
import atomic
k_B_cgs = constants.k_B.cgs.value
c_cgs = constants.c.cgs.value
h_cgs = constants.h.cgs.value
m_e_cgs = constants.m_e.cgs.value
e_charge_gauss = constants.e.gauss.v... | bsd-3-clause |
hposborn/Namaste | namaste/run.py | 1 | 66119 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
:py:mod:`Namaste.py` - Single transit fitting code
-------------------------------------
'''
import numpy as np
import pylab as plt
import scipy.optimize as optimize
from os import sys, path
import datetime
import logging
import pandas as pd
import click
import emcee... | mit |
rallured/PyXFocus | examples/axro/retraceError.py | 1 | 1996 | import numpy as np
import matplotlib.pyplot as plt
import pdb
import scipy.optimize as opt
import traces.surfaces as surf
import traces.transformations as tran
import traces.analyses as anal
import traces.sources as sources
import traces.conicsolve as conic
pcoeff,pax,paz = np.genfromtxt('/home/rallured/Dropbox/AXRO/... | mit |
xmnlab/minilab | labtrans/daq/prepare_data.py | 1 | 2713 | from __future__ import division
from datetime import timedelta, datetime
from collections import defaultdict
from matplotlib.ticker import EngFormatter
import matplotlib.pyplot as plt
import pickle
import sys
from copy import deepcopy
import numpy as np
# mswim module path
sys.path.insert(0, '/var/www/mswim/')
# msw... | gpl-3.0 |
vigilv/scikit-learn | examples/svm/plot_svm_margin.py | 318 | 2328 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
SVM Margins Example
=========================================================
The plots below illustrate the effect the parameter `C` has
on the separation line. A large value of `C` basically tells
our model that w... | bsd-3-clause |
fabioticconi/scikit-learn | sklearn/datasets/lfw.py | 31 | 19544 | """Loader for the Labeled Faces in the Wild (LFW) dataset
This dataset is a collection of JPEG pictures of famous people collected
over the internet, all details are available on the official website:
http://vis-www.cs.umass.edu/lfw/
Each picture is centered on a single face. The typical task is called
Face Veri... | bsd-3-clause |
mjgrav2001/scikit-learn | examples/manifold/plot_lle_digits.py | 181 | 8510 | """
=============================================================================
Manifold learning on handwritten digits: Locally Linear Embedding, Isomap...
=============================================================================
An illustration of various embeddings on the digits dataset.
The RandomTreesEmbed... | bsd-3-clause |
sebalander/sebaPhD | resources/PTZgrid/cornerFinderPtzGrid.py | 1 | 2649 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 27 13:34:13 2016
@author: sebalander
"""
# %%
import cv2
import numpy as np
import matplotlib.pyplot as plt
# %%
# input
# 6x9 chessboard
#imageFile = "./resources/fishChessboard/Screenshot from fishSeba.mp4 - 12.png"
# 8x11 A4 shetts chessboard
imageFile = "ptz_(0.... | bsd-3-clause |
LouisPlisso/analysis_tools | cdfplot-tools/cdfplot_1.3.py | 1 | 13501 | #!/usr/bin/env python
"Module to plot cdf from data or file. Can be called directly."
from __future__ import division, print_function
from optparse import OptionParser
import sys
import pylab
from matplotlib.font_manager import FontProperties
_VERSION = '1.2'
#TODO: possibility to place legend outside graph:
#pylab... | gpl-3.0 |
jgomezc1/FEM-Notes | scripts/SPRINGS/springs.py | 1 | 4460 | # -*- coding: utf-8 -*-
"""
Computes the displacements and internal forces for a mass-springs
system under static loads.
Variables
----------
ne : number of elements
nn : number of nodes
nm : number of material profiles
nl : number of point loads
IDN[] : Stores the nodal indentifier
IBC[] : Stores the nodal boundary... | mit |
mbayon/TFG-MachineLearning | venv/lib/python3.6/site-packages/sklearn/neighbors/regression.py | 8 | 10967 | """Nearest Neighbor Regression"""
# 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 Joly <a.joly@ulg.ac... | mit |
daodaoliang/neural-network-animation | matplotlib/texmanager.py | 11 | 25173 | """
This module supports embedded TeX expressions in matplotlib via dvipng
and dvips for the raster and postscript backends. The tex and
dvipng/dvips information is cached in ~/.matplotlib/tex.cache for reuse between
sessions
Requirements:
* latex
* \*Agg backends: dvipng
* PS backend: latex w/ psfrag, dvips, and Gh... | mit |
hmmlearn/hmmlearn | examples/plot_hmm_sampling.py | 1 | 1974 | """
Sampling from HMM
-----------------
This script shows how to sample points from a Hidden Markov Model (HMM):
we use a 4-state model with specified mean and covariance.
The plot show the sequence of observations generated with the transitions
between them. We can see that, as specified by our transition matrix,
th... | bsd-3-clause |
elijah513/scikit-learn | examples/linear_model/plot_logistic.py | 312 | 1426 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Logit function
=========================================================
Show in the plot is how the logistic regression would, in this
synthetic dataset, classify values as either 0 or 1,
i.e. class one or two, u... | bsd-3-clause |
zctea/biocode | sandbox/jorvis/summarize_vcfannotator.py | 3 | 4385 | #!/usr/bin/env python3.2
'''
The goal here is to take any VCF file output by VCFannotator and summarize the SNPs
contained there by type.
INPUT
The input expected is from the VCFannotator documentation:
An example output line transposed to a column format would look like so (taken from
the sample data):
0 TY-... | gpl-3.0 |
zmlabe/IceVarFigs | Scripts/SeaIce/plot_Walsh_ExtendedSeaIceConc_v2.py | 1 | 5055 | """
Plot sea ice concentration from last 100 years using the Walsh reconstruction
for version 2
Website : https://nsidc.org/data/g10010
Author : Zachary M. Labe
Date : 2 June 2020
"""
from netCDF4 import Dataset
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap, addcyclic, shiftgrid
i... | mit |
NixaSoftware/CVis | venv/lib/python2.7/site-packages/pandas/core/reshape/concat.py | 2 | 21484 | """
concat routines
"""
import numpy as np
from pandas import compat, DataFrame, Series, Index, MultiIndex
from pandas.core.index import (_get_objs_combined_axis,
_ensure_index, _get_consensus_names,
_all_indexes_same)
from pandas.core.categorical import (_... | apache-2.0 |
bilgili/nest-simulator | testsuite/manualtests/test_tsodyks_depr_fac.py | 13 | 1136 | # -*- coding: utf-8 -*-
#
# test_tsodyks_depr_fac.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 L... | gpl-2.0 |
marcocaccin/scikit-learn | sklearn/manifold/setup.py | 99 | 1243 | import os
from os.path import join
import numpy
from numpy.distutils.misc_util import Configuration
from sklearn._build_utils import get_blas_info
def configuration(parent_package="", top_path=None):
config = Configuration("manifold", parent_package, top_path)
libraries = []
if os.name == 'posix':
... | bsd-3-clause |
cwebster2/pyMeteo | pymeteo/skewt.py | 1 | 45186 | #!/usr/bin/env python
"""
.. module:: pymeteo.skewt
:platform: Unix, Windows
:synopsis: Skew-T/Log-P plotting
.. moduleauthor:: Casey Webster <casey.webster@gmail.com>
This module allows plotting Skew-T/Log-P diagrams
and hodographs from arrays of
data with helper functions to plot directly from CM1 output fi... | bsd-3-clause |
sauloal/cnidaria | scripts/venv/lib/python2.7/site-packages/matplotlib/rcsetup.py | 10 | 33270 | """
The rcsetup module contains the default values and the validation code for
customization using matplotlib's rc settings.
Each rc setting is assigned a default value and a function used to validate
any attempted changes to that setting. The default values and validation
functions are defined in the rcsetup module, ... | mit |
cavestruz/L500analysis | plotting/profiles/T_evolution/T_halo_overdensity/Tnt/plot_Tnt_mean.py | 1 | 3362 | from L500analysis.data_io.get_cluster_data import GetClusterData
from L500analysis.utils.utils import aexp2redshift,redshift2aexp
from L500analysis.plotting.tools.figure_formatting import *
from L500analysis.plotting.profiles.tools.profiles_percentile \
import *
from L500analysis.utils.constants import rbins
from d... | mit |
datapythonista/pandas | pandas/tests/tseries/offsets/test_ticks.py | 4 | 10779 | """
Tests for offsets.Tick and subclasses
"""
from datetime import (
datetime,
timedelta,
)
from hypothesis import (
assume,
example,
given,
settings,
strategies as st,
)
import numpy as np
import pytest
from pandas._libs.tslibs.offsets import delta_to_tick
from pandas import (
Timede... | bsd-3-clause |
robbymeals/scikit-learn | sklearn/neighbors/tests/test_neighbors.py | 103 | 41083 | from itertools import product
import numpy as np
from scipy.sparse import (bsr_matrix, coo_matrix, csc_matrix, csr_matrix,
dok_matrix, lil_matrix)
from sklearn.cross_validation import train_test_split
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing impo... | bsd-3-clause |
hugobowne/scikit-learn | sklearn/linear_model/tests/test_ransac.py | 52 | 17482 | from scipy import sparse
import numpy as np
from scipy import sparse
from numpy.testing import assert_equal, assert_raises
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
from sklearn.utils import check_random_state
from sklearn.utils.testing import assert_raises_rege... | bsd-3-clause |
nzavagli/UnrealPy | UnrealPyEmbed/Development/Python/2015.08.07-Python2710-x64-Source-vs2015/Python27/Source/numpy-1.9.2/numpy/core/function_base.py | 23 | 6262 | from __future__ import division, absolute_import, print_function
__all__ = ['logspace', 'linspace']
from . import numeric as _nx
from .numeric import array, result_type
def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None):
"""
Return evenly spaced numbers over a specified interval.
... | mit |
CompPhysics/ThesisProjects | doc/MSc/msc_students/former/sean/Thesis/Codes/PythonCode/MBPT4.py | 1 | 4664 | from sympy import *
from pylab import *
import matplotlib.pyplot as plt
#below_fermi = (0,1,2,3)
#above_fermi = (4,5,6,7)
#states = [(1,1),(1,-1),(2,1),(2,-1),(3,1),(3,-1),(4,1),(4,-1)]
N = 4
NB = 8
g = Symbol('g')
#linear in energy (not box potential)
def makeStateSpace(N,NB): #N = num of particles, NB = size of bas... | cc0-1.0 |
humdings/zipline | tests/utils/test_pandas_utils.py | 3 | 6827 | """
Tests for zipline/utils/pandas_utils.py
"""
import pandas as pd
from zipline.testing import parameter_space, ZiplineTestCase
from zipline.testing.predicates import assert_equal
from zipline.utils.pandas_utils import (
categorical_df_concat,
nearest_unequal_elements
)
class TestNearestUnequalElements(Zipl... | apache-2.0 |
ApolloAuto/apollo | modules/tools/prediction/data_pipelines/cruise_models.py | 3 | 5275 | #!/usr/bin/env python3
###############################################################################
# Copyright 2018 The Apollo 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... | apache-2.0 |
stober/utils | src/plot_utils.py | 1 | 3102 | #! /usr/bin/env python
"""
Author: Jeremy M. Stober
Program: PLOTUTILS.PY
Date: Wednesday, April 21 2010
Description: Routines for common plot operations.
"""
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d import art3d
import matplotlib.pyplot as plt
from matplotlib.path imp... | bsd-2-clause |
vivekmishra1991/scikit-learn | examples/cluster/plot_ward_structured_vs_unstructured.py | 320 | 3369 | """
===========================================================
Hierarchical clustering: structured vs unstructured ward
===========================================================
Example builds a swiss roll dataset and runs
hierarchical clustering on their position.
For more information, see :ref:`hierarchical_clus... | bsd-3-clause |
jseabold/scikit-learn | examples/cluster/plot_kmeans_digits.py | 230 | 4524 | """
===========================================================
A demo of K-Means clustering on the handwritten digits data
===========================================================
In this example we compare the various initialization strategies for
K-means in terms of runtime and quality of the results.
As the gr... | bsd-3-clause |
crazy-cat/incubator-mxnet | example/speech_recognition/stt_utils.py | 44 | 5892 | # 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 |
iABC2XYZ/abc | Epics/DataAna10.1.py | 1 | 5064 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 27 15:44:34 2017
@author: p
"""
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
plt.close('all')
def GenWeight(shape):
initial = tf.truncated_normal(shape, stddev=1.)
return tf.Variable(initial)
def GenBias(shap... | gpl-3.0 |
xzh86/scikit-learn | sklearn/tests/test_base.py | 216 | 7045 | # Author: Gael Varoquaux
# License: BSD 3 clause
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing impo... | bsd-3-clause |
alisidd/tensorflow | tensorflow/examples/learn/wide_n_deep_tutorial.py | 29 | 8985 | # 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 |
re-innovation/CSVviewer | windrose.py | 1 | 20019 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
application.py
@author: James Fowkes
Adapted from Lionel Roubeyrie as below.
Generates windrose plot of speed/direction data
"""
__version__ = '1.4'
__author__ = 'Lionel Roubeyrie'
__mail__ = 'lionel.roubeyrie@gmail.com'
__license__ = 'CeCILL-B'
# This module uses... | gpl-2.0 |
gdooper/scipy | scipy/signal/waveforms.py | 11 | 17267 | # Author: Travis Oliphant
# 2003
#
# Feb. 2010: Updated by Warren Weckesser:
# Rewrote much of chirp()
# Added sweep_poly()
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, polyval, po... | bsd-3-clause |
kyleabeauchamp/HMCNotes | code/old/test_ghmc_respa.py | 1 | 1175 | import lb_loader
import numpy as np
import pandas as pd
import simtk.openmm as mm
from simtk import unit as u
from openmmtools import hmc_integrators, testsystems
pd.set_option('display.width', 1000)
platform = mm.Platform_getPlatformByName("CUDA")
platform_properties = dict(CudaPrecision="single")
n_steps = 2500
tem... | gpl-2.0 |
accpy/accpy | accpy/gui/simulate.py | 2 | 14528 | # -*- coding: utf-8 -*-
''' accpy.gui.simulate
author: felix.kramer(at)physik.hu-berlin.de
'''
from __future__ import division
try:
from Tkinter import N, E, S, W, LabelFrame, _setit, BOTH
from tkFileDialog import askopenfilename
from tkMessageBox import showerror
except:
from tkinter import N, E, S... | gpl-3.0 |
miti0/mosquito | market_stats.py | 1 | 15543 | """
import configargparse
from stats.stats import Stats
def main():
stats = Stats()
stats.run()
if __name__ == "__main__":
arg_parser = configargparse.get_argument_parser()
arg_parser.add('-c', '--config', is_config_file=True, help='config file path', default='mosquito.ini')
arg_parser.add("--li... | gpl-3.0 |
scienceopen/madrigalgps | dev/full2.py | 1 | 8980 | from __future__ import division
from datetime import datetime
from ephem import readtle,Observer
import numpy as np
from pandas import date_range, DataFrame,Panel
from pandas.io.pytables import read_hdf
from re import search
import h5py
import matplotlib.pyplot as plt
from time import time
from glob import gl... | gpl-3.0 |
Srisai85/scikit-learn | sklearn/cluster/birch.py | 207 | 22706 | # Authors: Manoj Kumar <manojkumarsivaraj334@gmail.com>
# Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Joel Nothman <joel.nothman@gmail.com>
# License: BSD 3 clause
from __future__ import division
import warnings
import numpy as np
from scipy import sparse
from math import sqrt
fro... | bsd-3-clause |
qifeigit/scikit-learn | examples/model_selection/plot_validation_curve.py | 229 | 1823 | """
==========================
Plotting Validation Curves
==========================
In this plot you can see the training scores and validation scores of an SVM
for different values of the kernel parameter gamma. For very low values of
gamma, you can see that both the training score and the validation score are
low. ... | bsd-3-clause |
russel1237/scikit-learn | examples/tree/plot_tree_regression_multioutput.py | 206 | 1800 | """
===================================================================
Multi-output Decision Tree Regression
===================================================================
An example to illustrate multi-output regression with decision tree.
The :ref:`decision trees <tree>`
is used to predict simultaneously the ... | bsd-3-clause |
0asa/scikit-learn | examples/ensemble/plot_gradient_boosting_regularization.py | 355 | 2843 | """
================================
Gradient Boosting regularization
================================
Illustration of the effect of different regularization strategies
for Gradient Boosting. The example is taken from Hastie et al 2009.
The loss function used is binomial deviance. Regularization via
shrinkage (``lear... | bsd-3-clause |
karvenka/sp17-i524 | project/S17-IO-3012/code/bin/benchmark_replicas_import.py | 19 | 5474 | import matplotlib.pyplot as plt
import sys
import pandas as pd
def get_parm():
"""retrieves mandatory parameter to program
@param: none
@type: n/a
"""
try:
return sys.argv[1]
except:
print ('Must enter file name as parameter')
exit()
def read_file(filename):
"""... | apache-2.0 |
ToniRV/Learning-to-navigate-without-a-map | rlvision/exps/pg_16_exp.py | 1 | 7091 | """Policy Gradient for Grid 16x16.
It's Keras 2!
Author: Yuhuang Hu
Email : duguyue100@gmail.com
"""
from __future__ import print_function
import os
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense, Flatten, InputLayer
from keras.layers import Conv... | mit |
SchadkoAO/FDTD_Solver | postprocessing/calculate_max.py | 2 | 3747 | import numpy as np
import matplotlib.pyplot as plt
import argparse
import traceback
import tarfile
import os
import re
import time
def read_tarinfo(fname):
tar = tarfile.open(fname)
return list(tar.getmembers()), tar
def read(file, tar_info):
f = file.extractfile(tar_info)
if f is None:
retu... | mit |
beepee14/scikit-learn | examples/classification/plot_digits_classification.py | 289 | 2397 | """
================================
Recognizing hand-written digits
================================
An example showing how the scikit-learn can be used to recognize images of
hand-written digits.
This example is commented in the
:ref:`tutorial section of the user manual <introduction>`.
"""
print(__doc__)
# Autho... | bsd-3-clause |
saketkc/statsmodels | statsmodels/sandbox/examples/thirdparty/findow_0.py | 33 | 2147 | # -*- coding: utf-8 -*-
"""A quick look at volatility of stock returns for 2009
Just an exercise to find my way around the pandas methods.
Shows the daily rate of return, the square of it (volatility) and
a 5 day moving average of the volatility.
No guarantee for correctness.
Assumes no missing values.
colors of lines... | bsd-3-clause |
TomAugspurger/pandas | pandas/tests/frame/methods/test_at_time.py | 1 | 3150 | from datetime import time
import numpy as np
import pytest
import pytz
from pandas import DataFrame, date_range
import pandas._testing as tm
class TestAtTime:
def test_at_time(self):
rng = date_range("1/1/2000", "1/5/2000", freq="5min")
ts = DataFrame(np.random.randn(len(rng), 2), index=rng)
... | bsd-3-clause |
zuku1985/scikit-learn | sklearn/utils/tests/test_sparsefuncs.py | 78 | 17611 | import numpy as np
import scipy.sparse as sp
from scipy import linalg
from numpy.testing import (assert_array_almost_equal,
assert_array_equal,
assert_equal)
from numpy.random import RandomState
from sklearn.datasets import make_classification
from sklearn.utils.s... | bsd-3-clause |
mxjl620/scikit-learn | sklearn/feature_selection/rfe.py | 64 | 17509 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Vincent Michel <vincent.michel@inria.fr>
# Gilles Louppe <g.louppe@gmail.com>
#
# License: BSD 3 clause
"""Recursive feature elimination for feature ranking"""
import warnings
import numpy as np
from ..utils import check_X_y, safe_sqr
fro... | bsd-3-clause |
elisamussumeci/InfoDenguePredict | infodenguepredict/models/deeplearning/mlp.py | 2 | 2833 | """
Created on 27/01/17
by fccoelho
license: GPL V3 or Later
adapted from this example:
http://machinelearningmastery.com/time-series-prediction-with-deep-learning-in-python-with-keras/
"""
import numpy as np
import pandas as pd
from time import time
from matplotlib import pyplot as P
from sklearn import preprocessing... | gpl-3.0 |
plotly/dash-core-components | tests/integration/graph/test_graph_basics.py | 1 | 4985 | import pytest
import pandas as pd
from multiprocessing import Value, Lock
import numpy as np
from time import sleep
import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
import dash.testing.wait as wait
@pytest.mark.parametrize("is_eager", [Tru... | mit |
karthikvadla16/spark-tk | regression-tests/sparktkregtests/testcases/scoretests/logistic_regression_test.py | 12 | 2456 | # 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 |
apache/flink | flink-python/pyflink/table/tests/test_pandas_udaf.py | 5 | 37026 | ################################################################################
# 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... | apache-2.0 |
jzt5132/scikit-learn | sklearn/ensemble/weight_boosting.py | 71 | 40664 | """Weight Boosting
This module contains weight boosting estimators for both classification and
regression.
The module structure is the following:
- The ``BaseWeightBoosting`` base class implements a common ``fit`` method
for all the estimators in the module. Regression and classification
only differ from each ot... | bsd-3-clause |
miloharper/neural-network-animation | matplotlib/sphinxext/plot_directive.py | 11 | 26894 | """
A directive for including a matplotlib plot in a Sphinx document.
By default, in HTML output, `plot` will include a .png file with a
link to a high-res .png and .pdf. In LaTeX output, it will include a
.pdf.
The source code for the plot may be included in one of three ways:
1. **A path to a source file** as t... | mit |
scribble/scribble.github.io | src/main/jbake/assets/docs/lchannels/scripts/plot-benchmark.py | 2 | 2325 | #!/usr/bin/env python
import matplotlib.pyplot as plotlib
import numpy
import sys
DELIMITER = ','
def makePlot(infile, outfile):
import matplotlib
matplotlib.rcParams.update({'font.size': 12})
(title, headers) = readTitleAndHeaders(infile)
data = numpy.genfromtxt(infile,
... | apache-2.0 |
ContinuumIO/blaze | blaze/compute/tests/test_numpy_compute.py | 3 | 20852 | from __future__ import absolute_import, division, print_function
import pytest
import itertools
import numpy as np
import pandas as pd
from datetime import datetime, date
from blaze.compute.core import compute, compute_up
from blaze.expr import symbol, by, exp, summary, Broadcast, join, concat
from blaze.expr impo... | bsd-3-clause |
teasherm/models | vanilla_gan/main.py | 1 | 1943 | import os
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import numpy as np
import tensorflow as tf
from tqdm import tqdm
from datasets.mnist import load as load_mnist
from lib.utils import get_batches_per_epoch
from vanilla_gan import model
def sample_z(batch_size, z_dim):
return np.rando... | unlicense |
AnasGhrab/scikit-learn | examples/linear_model/plot_sgd_comparison.py | 167 | 1659 | """
==================================
Comparing various online solvers
==================================
An example showing how different online solvers perform
on the hand-written digits dataset.
"""
# Author: Rob Zinkov <rob at zinkov dot com>
# License: BSD 3 clause
import numpy as np
import matplotlib.pyplot a... | bsd-3-clause |
TomAugspurger/pandas | pandas/core/indexes/range.py | 1 | 27484 | from datetime import timedelta
import operator
from sys import getsizeof
from typing import Any, Optional
import warnings
import numpy as np
from pandas._libs import index as libindex
from pandas._libs.lib import no_default
from pandas._typing import Label
import pandas.compat as compat
from pandas.compat.numpy impor... | bsd-3-clause |
WayneDW/Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction | archived/tfidf_tsne.py | 1 | 1827 | # Adopted from https://github.com/lazyprogrammer/machine_learning_examples/blob/master/nlp_class2/tfidf_tsne.py
import json
import numpy as np
import matplotlib.pyplot as plt
from sklearn.utils import shuffle
from sklearn.manifold import TSNE
from datetime import datetime
# import os
# import sys
# sys.path.append(os... | mit |
leonth/bulk-download-quandl | bulkdlquandl.py | 1 | 3384 | import itertools
import logging
import io
import os
import asyncio as aio
import aiohttp
import pandas as pd
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.DEBUG)
logging.getLogger('asyncio').setLevel(logging.WARNING) # tone down asyncio debug messages
from settings import DL_DIR, AUTH_TOKEN... | mit |
halwai/cvxpy | examples/extensions/kmeans.py | 11 | 3555 | import cvxpy as cvx
import mixed_integer as mi
print(__doc__)
from time import time
import numpy as np
import matplotlib.pyplot as plt
from sklearn import metrics
from sklearn.cluster import KMeans
from sklearn.datasets import load_digits
from sklearn.decomposition import PCA
from sklearn.preprocessing import scale
... | gpl-3.0 |
larroy/mxnet | example/rcnn/symdata/vis.py | 11 | 1559 | # 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 |
crichardson17/starburst_atlas | Low_resolution_sims/DustFree_LowRes/Padova_cont/padova_cont_4/peaks_reader.py | 33 | 2761 | import csv
import matplotlib.pyplot as plt
from numpy import *
import scipy.interpolate
import math
from pylab import *
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
import matplotlib.patches as patches
from matplotlib.path import Path
import os
# ---------------------------------------------------... | gpl-2.0 |
parantapa/seaborn | seaborn/timeseries.py | 13 | 15218 | """Timeseries plotting functions."""
from __future__ import division
import numpy as np
import pandas as pd
from scipy import stats, interpolate
import matplotlib as mpl
import matplotlib.pyplot as plt
from .external.six import string_types
from . import utils
from . import algorithms as algo
from .palettes import c... | bsd-3-clause |
holdenk/spark | python/pyspark/sql/tests/test_pandas_udf_typehints.py | 22 | 9603 | #
# 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 |
valexandersaulys/airbnb_kaggle_contest | venv/lib/python3.4/site-packages/pandas/tseries/index.py | 9 | 75758 | # pylint: disable=E1101
from __future__ import division
import operator
import warnings
from datetime import time, datetime
from datetime import timedelta
import numpy as np
from pandas.core.common import (_NS_DTYPE, _INT64_DTYPE,
_values_from_object, _maybe_box,
... | gpl-2.0 |
gfyoung/pandas | pandas/tests/series/methods/test_clip.py | 2 | 3378 | import numpy as np
import pytest
import pandas as pd
from pandas import Series, Timestamp, isna, notna
import pandas._testing as tm
class TestSeriesClip:
def test_clip(self, datetime_series):
val = datetime_series.median()
assert datetime_series.clip(lower=val).min() == val
assert dateti... | bsd-3-clause |
bcharlas/mytrunk | doc/sphinx/ipython_directive.py | 8 | 18579 | # -*- coding: utf-8 -*-
"""Sphinx directive to support embedded IPython code.
This directive allows pasting of entire interactive IPython sessions, prompts
and all, and their code will actually get re-executed at doc build time, with
all prompts renumbered sequentially.
To enable this directive, simply list it in you... | gpl-2.0 |
krisaju95/NewsArticleClustering | module7_skMeansClustering.py | 1 | 7438 | import pickle
import numpy as np
import pandas as pd
import os
import math
path = "C:/Users/hp/Desktop/FINAL YEAR PROJECT/S8/"
D = set()
A = []
words = set()
dataFrame2 = pickle.load( open(os.path.join(path, 'Feature Set','dataFrame2.p'), "rb" ))
dataFrame3 = pickle.load( open(os.path.join(path, 'Feature ... | gpl-3.0 |
nlholdem/icodoom | ICO1/deep_feedback_learning_old/plotOutputs.py | 4 | 2070 | import numpy as np
from numpy import genfromtxt
import matplotlib.pyplot as plt
#data_or = genfromtxt("test_deep_fbl_cpp_feedback_learning_or.dat", delimiter=" ")
#data_xor = genfromtxt("test_deep_fbl_cpp_feedback_learning_xor.dat", delimiter=" ")
#data_and = genfromtxt("test_deep_fbl_cpp_feedback_learning_and.dat", d... | gpl-3.0 |
ericdill/PyXRF | pyxrf/model/fit_spectrum.py | 1 | 24546 | # ######################################################################
# Copyright (c) 2014, Brookhaven Science Associates, Brookhaven #
# National Laboratory. All rights reserved. #
# #
# Redistribution and use in ... | bsd-3-clause |
sumspr/scikit-learn | sklearn/tests/test_cross_validation.py | 27 | 41664 | """Test the cross_validation module"""
from __future__ import division
import warnings
import numpy as np
from scipy.sparse import coo_matrix
from scipy import stats
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_equal
from sklearn... | bsd-3-clause |
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