repo_name string | path string | copies string | size string | content string | license string |
|---|---|---|---|---|---|
sriki18/scipy | scipy/signal/signaltools.py | 2 | 116009 | # Author: Travis Oliphant
# 1999 -- 2002
from __future__ import division, print_function, absolute_import
import warnings
import threading
import sys
import timeit
from . import sigtools, dlti
from ._upfirdn import upfirdn, _UpFIRDn, _output_len
from scipy._lib.six import callable
from scipy._lib._version import Num... | bsd-3-clause |
JohanComparat/nbody-npt-functions | bin/bin_DF/test_scripts/fit_density_field_to-tracers.py | 1 | 38029 | # cd pySU/pyMultidark/trunk/bin/fortranfile-0.2.1/
import sys
import numpy as n
import os
from os.path import join
from astropy.io import fits
import time
import cPickle
from scipy.interpolate import interp1d
from scipy.optimize import curve_fit
from scipy.stats import scoreatpercentile as sc
from scipy.stats import n... | cc0-1.0 |
magic2du/contact_matrix | Contact_maps/mnist_psuedo_ipython_dl_ppi/code/DL_Mnist_classification_05202015.py | 2 | 34951 |
# coding: utf-8
# In[1]:
# this part imports libs and load data from csv file
import sys
sys.path.append('../../../libs/')
import csv
from dateutil import parser
from datetime import timedelta
from sklearn import svm
import numpy as np
#import pandas as pd
import pickle
from sklearn.cross_validation import train_tes... | gpl-2.0 |
migueldiascosta/pymatgen | pymatgen/electronic_structure/boltztrap.py | 1 | 70140 | # coding: utf-8
from __future__ import division, unicode_literals, print_function
"""
This module provides classes to run and analyze boltztrap on pymatgen band
structure objects. Boltztrap is a software interpolating band structures and
computing materials properties from this band structure using Boltzmann
semi-cla... | mit |
florentchandelier/zipline | zipline/testing/fixtures.py | 2 | 56620 | from itertools import repeat
import os
import sqlite3
from unittest import TestCase
from contextlib2 import ExitStack
from logbook import NullHandler, Logger
from six import with_metaclass, iteritems
from toolz import flip
import pandas as pd
import responses
from .core import (
create_daily_bar_data,
create_... | apache-2.0 |
ndingwall/scikit-learn | sklearn/ensemble/tests/test_gradient_boosting.py | 2 | 50781 | """
Testing for the gradient boosting module (sklearn.ensemble.gradient_boosting).
"""
import warnings
import numpy as np
from scipy.sparse import csr_matrix
from scipy.sparse import csc_matrix
from scipy.sparse import coo_matrix
from scipy.special import expit
import pytest
from sklearn import datasets
from sklearn... | bsd-3-clause |
awakenting/gif_fitting | fitgif/GIF.py | 1 | 38193 | import matplotlib.pyplot as plt
from matplotlib import rcParams
import numpy as np
from numpy.linalg import inv
from .ThresholdModel import ThresholdModel
from .Filter_Rect_LogSpaced import Filter_Rect_LogSpaced
from . import Tools
from .Tools import reprint
from . import cython_helpers as cyth
class GIF(ThresholdMo... | gpl-3.0 |
BigDataforYou/movie_recommendation_workshop_1 | big_data_4_you_demo_1/venv/lib/python2.7/site-packages/pandas/tests/frame/test_indexing.py | 1 | 93610 | # -*- coding: utf-8 -*-
from __future__ import print_function
from datetime import datetime, date, timedelta, time
from pandas.compat import map, zip, range, lrange, lzip, long
from pandas import compat
from numpy import nan
from numpy.random import randn
import numpy as np
import pandas.core.common as com
from pa... | mit |
lampcodes/sea_method | shared_lib/shared_funcs.py | 1 | 41213 | from numpy import *
from pylab import *
from datetime import datetime, time, timedelta
import numpy as np
import console_colors as ccl
from scipy.io.netcdf import netcdf_file
from ShiftTimes import *
import os
import matplotlib.patches as patches
import matplotlib.transforms as transforms
import h5py
#from read_NewTab... | gpl-2.0 |
MJuddBooth/pandas | pandas/tests/reductions/test_reductions.py | 1 | 40127 | # -*- coding: utf-8 -*-
from datetime import datetime, timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical, DataFrame, DatetimeIndex, Index, NaT, Period, PeriodIndex,
RangeIndex, Series, Timedelta, TimedeltaIndex, Timestamp, compat, isna,
timedelta_range, to_tim... | bsd-3-clause |
timothydmorton/VESPA | vespa/fpp.py | 1 | 30387 | from __future__ import print_function, division
import os, os.path, re
import logging
from six import string_types
try:
import cPickle as pickle
except ImportError:
import pickle
try:
from configobj import ConfigObj
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
fr... | mit |
childresslab/MicrocavityExp1 | logic/confocal_logic.py | 1 | 52290 | # -*- coding: utf-8 -*-
"""
This module operates a confocal microsope.
Qudi 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.
Qudi is distrib... | gpl-3.0 |
cpcloud/seaborn | seaborn/axisgrid.py | 1 | 34980 | from __future__ import division
from itertools import product
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
from . import utils
from .palettes import color_palette
class FacetGrid(object):
"""Subplot grid for applying plotting functions to subsets of data."""
... | bsd-3-clause |
maxlikely/scikit-learn | sklearn/linear_model/coordinate_descent.py | 1 | 46282 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Gael Varoquaux <gael.varoquaux@inria.fr>
#
# License: BSD Style.
import sys
import warnings
import itertools
import operator
from abc import AB... | bsd-3-clause |
plotly/plotly.py | packages/python/plotly/plotly/graph_objs/_pie.py | 1 | 82249 | from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy
class Pie(_BaseTraceType):
# class properties
# --------------------
_parent_path_str = ""
_path_str = "pie"
_valid_props = {
"automargin",
"customdata",
"customdatasrc",
"directi... | mit |
eickenberg/scikit-learn | sklearn/gaussian_process/gaussian_process.py | 1 | 34394 | # -*- coding: utf-8 -*-
# Author: Vincent Dubourg <vincent.dubourg@gmail.com>
# (mostly translation, see implementation details)
# Licence: BSD 3 clause
from __future__ import print_function
import numpy as np
from scipy import linalg, optimize, rand
from ..base import BaseEstimator, RegressorMixin
from ..m... | bsd-3-clause |
saiwing-yeung/scikit-learn | sklearn/metrics/classification.py | 2 | 70360 | """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 |
rnwolf/jira-metrics-extract | jira_metrics_extract/cycletime.py | 1 | 36940 | from .query import QueryManager
import pandas as pd
import numpy as np
import os
import dateutil.parser
import datetime
import csv
import pytz
import tempfile
from functools import reduce
import sys
class StatusTypes:
open = 'open'
backlog = 'backlog'
accepted = 'committed'
complete = 'complete'
ab... | mit |
DTUWindEnergy/BECASWrapper | becas_wrapper/becas_wrapper.py | 1 | 30758 |
__all__ = ['BECASWrapper']
import os
import numpy as np
import time
import commands
import subprocess
import matplotlib as mpl
import scipy.io.matlab as spio
def ksfunc(p, rho=50., side=1.):
"""
Kreisselmeier and Steinhauser constraint aggregation function
params
--------
p: 1-d array
v... | agpl-3.0 |
marl/jams | jams/core.py | 1 | 68842 | """
Core functionality
------------------
This library provides an interface for reading JAMS into Python, or creating
them programatically.
.. currentmodule:: jams
Function reference
^^^^^^^^^^^^^^^^^^
.. autosummary::
:toctree: generated/
load
Object reference
^^^^^^^^^^^^^^^^
.. autosummary::
:toctr... | isc |
cowlicks/dask | dask/dataframe/tests/test_io.py | 1 | 50930 | import gzip
import pandas as pd
import numpy as np
import pandas.util.testing as tm
import sys
import os
import dask
import pytest
from distutils.version import LooseVersion
from threading import Lock
from time import sleep
import threading
import dask.array as da
import dask.dataframe as dd
from dask.dataframe.io imp... | bsd-3-clause |
tswast/google-cloud-python | bigquery/tests/unit/test_table.py | 1 | 132151 | # Copyright 2015 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | apache-2.0 |
EoinTravers/Squeak | squeak/main.py | 1 | 35433 | #~ from __future__ import division
import os
import pandas as pd
import numpy as np
from scipy import interpolate, interp, stats
from math import sqrt
import math
import warnings
###########################
# Normalization functions #
###########################
def even_time_steps(x, y, t, length = 101):
"""Interpo... | gpl-2.0 |
fboers/jumegX | jumeg_plot.py | 1 | 30229 | '''
Plotting functions for jumeg.
'''
import os
import numpy as np
import matplotlib.pylab as pl
import matplotlib.ticker as ticker
import mne
from mpl_toolkits.axes_grid import make_axes_locatable
from jumeg.jumeg_utils import (get_files_from_list, thresholded_arr,
triu_indices)
from jum... | bsd-3-clause |
e-koch/VLA_Lband | 14B-088/HI/analysis/HI_stacking_modeling.py | 1 | 41719 |
import astropy.units as u
from spectral_cube import SpectralCube, OneDSpectrum
import numpy as np
import matplotlib.pyplot as p
from pandas import DataFrame
from astropy.io import fits
from os.path import join as osjoin
import os
import seaborn as sb
from astropy.utils.console import ProgressBar
from cube_analysis.s... | mit |
basnijholt/holoviews | holoviews/operation/datashader.py | 1 | 52541 | from __future__ import absolute_import, division
from collections import Callable, Iterable
import warnings
import param
import numpy as np
import pandas as pd
import xarray as xr
import datashader as ds
import datashader.reductions as rd
import datashader.transfer_functions as tf
import dask.dataframe as dd
from par... | bsd-3-clause |
cactusbin/nyt | matplotlib/lib/matplotlib/backends/backend_pdf.py | 1 | 91314 | # -*- coding: iso-8859-1 -*-
"""
A PDF matplotlib backend
Author: Jouni K Seppänen <jks@iki.fi>
"""
from __future__ import division, print_function
import codecs
import os
import re
import sys
import time
import warnings
import zlib
import numpy as np
if sys.version_info[0] >= 3:
from io import BytesIO
else:
... | unlicense |
jhnnsnk/VIOLA | test_data/topo_brunel_alpha_nest.py | 1 | 39361 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
E-I network connected with NEST topology
----------------------------------------
Simulation of a network consisting of an excitatory and an inhibitory
neuron population with distance-dependent connectivity.
The code bases on the script
brunel_alpha_nest.py
which... | gpl-2.0 |
nanoporetech/pomoxis | pomoxis/catalogue_errors.py | 1 | 46389 | import argparse
from collections import defaultdict, Counter, namedtuple
import concurrent.futures
from functools import partial
import itertools
import logging
from operator import attrgetter
import os
import pickle
import re
import unittest
import warnings
import matplotlib; matplotlib.use('Agg', force=True) # enfo... | mpl-2.0 |
terrencepreilly/darglint | tests/test_parser.py | 1 | 37634 | import ast
from collections import (
defaultdict,
)
from unittest import TestCase, skip
from darglint.lex import (
condense,
lex,
)
from darglint.parse.identifiers import (
ArgumentIdentifier,
ExceptionIdentifier,
NoqaIdentifier,
)
from darglint.parse.google import (
parse,
)
from darglint.... | mit |
colour-science/colour | colour/continuous/tests/test_multi_signal.py | 1 | 33561 | # -*- coding: utf-8 -*-
"""
Defines the unit tests for the :mod:`colour.continuous.multi_signals` module.
"""
import numpy as np
import operator
import unittest
import re
import textwrap
from colour.algebra import (CubicSplineInterpolator, Extrapolator,
KernelInterpolator)
from colour.cons... | bsd-3-clause |
MTgeophysics/mtpy | legacy/plot_pt_maps.py | 1 | 36141 | """
==================
ModEM
==================
# Generate files for ModEM
# revised by JP 2017
# revised by AK 2017 to bring across functionality from ak branch
"""
import os
import numpy as np
from matplotlib import pyplot as plt, gridspec as gridspec, colorbar as mcb
from matplotlib.colors import Normalize
from ... | gpl-3.0 |
anntzer/scikit-learn | sklearn/preprocessing/tests/test_data.py | 2 | 102113 | # Authors:
#
# Giorgio Patrini
#
# License: BSD 3 clause
import warnings
import itertools
import numpy as np
import numpy.linalg as la
from scipy import sparse, stats
from scipy.sparse import random as sparse_random
import pytest
from sklearn.utils import gen_batches
from sklearn.utils._testing import ass... | bsd-3-clause |
nextstrain/augur | augur/filter.py | 1 | 36446 | """
Filter and subsample a sequence set.
"""
from Bio import SeqIO
from collections import defaultdict
from typing import Collection
import random, os, re
import pandas as pd
import numpy as np
import sys
import datetime
from tempfile import NamedTemporaryFile
import treetime.utils
from .index import index_sequences
... | agpl-3.0 |
dimonaks/siman | siman/project_funcs.py | 1 | 186822 | # -*- coding: utf-8 -*-
#Copyright Aksyonov D.A
from __future__ import division, unicode_literals, absolute_import
import sys, copy, re, os, shutil
#external
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
try:
from tabulate import tabulate
except:
print('projec... | gpl-2.0 |
lcrobert/PySA | PySA_2.0.1_20180205.py | 1 | 130271 | # -*- coding: utf-8 -*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import os
from PySide import QtCore, QtGui
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib.ticker as tick
tick.MultipleLocator(base=25.0)
from PIL import Image
version = "PyS... | apache-2.0 |
Djabbz/scikit-learn | sklearn/svm/tests/test_svm.py | 1 | 31664 | """
Testing for Support Vector Machine module (sklearn.svm)
TODO: remove hard coded numerical results when possible
"""
import numpy as np
import itertools
from numpy.testing import assert_array_equal, assert_array_almost_equal
from numpy.testing import assert_almost_equal
from scipy import sparse
from nose.tools im... | bsd-3-clause |
plotly/plotly.py | packages/python/plotly/plotly/figure_factory/_facet_grid.py | 2 | 39432 | from __future__ import absolute_import
from plotly import exceptions, optional_imports
import plotly.colors as clrs
from plotly.figure_factory import utils
from plotly.subplots import make_subplots
import math
from numbers import Number
pd = optional_imports.get_module("pandas")
TICK_COLOR = "#969696"
AXIS_TITLE_CO... | mit |
Azeret/galIMF | galevo.py | 1 | 303295 | # A python3 code
# This is a single-zone closed-box galaxy chemical evolution module.
# It is coupled with a variable galaxy-wide IMF that depends on the galactic property at the time of star formation.
# The stellar population forms at every 10 Myr (the shortest time step) over 10 Gyr;
# with each stellar population a... | gpl-3.0 |
vhaasteren/qtip | constants.py | 1 | 435001 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# vim: tabstop=4:softtabstop=4:shiftwidth=4:expandtab
"""
constants: Some constants, and testing data
"""
# Do it like this: dict(list(r.items()) + list(s.items()))
mpl_rcParams_white = dict({
'lines.color': 'black',
'patch.edgecolor': 'blue',
'text.color': 'black... | gpl-3.0 |
QCaudron/SmallPopTSIR | utilities/notebook.py | 1 | 42689 | # -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <headingcell level=1>
# Measles in Small Populations
# <markdowncell>
# Based on *Finkenstadt and Grenfell (2002), Applied Statistics*, the paper introducing the TSIR model. The model relates $S_t$, the number of susceptibles at time $t$, to the number of infecte... | mit |
migueldiascosta/pymatgen | pymatgen/io/abinit/flows.py | 1 | 92997 | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
A Flow is a container for Works, and works consist of tasks.
Flows are the final objects that can be dumped directly to a pickle file on disk
Flows are executed using abirun (abipy).
"""
from __future__ impo... | mit |
plotly/python-api | packages/python/plotly/plotly/graph_objs/_scatterternary.py | 1 | 82788 | from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy
class Scatterternary(_BaseTraceType):
# class properties
# --------------------
_parent_path_str = ""
_path_str = "scatterternary"
_valid_props = {
"a",
"asrc",
"b",
"bsrc",
... | mit |
amolkahat/pandas | pandas/tests/indexes/test_category.py | 1 | 47902 | # -*- coding: utf-8 -*-
import pytest
import numpy as np
import pandas.util.testing as tm
from pandas.core.indexes.api import Index, CategoricalIndex
from pandas.core.dtypes.dtypes import CategoricalDtype
from pandas._libs import index as libindex
from .common import Base
from pandas.compat import range, PY3
from p... | bsd-3-clause |
Melclic/HMG | py_wrapper/polynomial.py | 1 | 51425 | """
Extended functions to operate on polynomials
"""
# -------------------------------------------------------------------------
# Name: polynomial
# Purpose: Functions to operate on polynomials.
#
# Author: pab
# polyXXX functions are based on functions found in the matlab toolbox polyutil
# writte... | gpl-3.0 |
PmagPy/PmagPy | pmagpy/pmag.py | 1 | 503669 | import codecs
import math
import os
import string
import sys
import time
from past.utils import old_div
import numpy as np
from numpy import random
from numpy import linalg
import pandas as pd
from .mapping import map_magic
from pmagpy import contribution_builder as cb
from . import find_pmag_dir
from pmag_env import ... | bsd-3-clause |
tony810430/flink | flink-python/pyflink/table/table_environment.py | 1 | 79595 | ################################################################################
# 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 |
GGiecold/PySCUBA | src/PySCUBA/SCUBA_core.py | 1 | 30539 | #!/usr/bin/env python
# PySCUBA/src/PySCUBA/SCUBA_core.py
# Author: Gregory Giecold for the GC Yuan Lab
# Affiliation: Harvard University
# Contact: g.giecold@gmail.com; ggiecold@jimmy.harvard.edu
from collections import defaultdict
from math import exp, floor, sqrt
from os import getcwd, path
import sys
import w... | mit |
gingi99/research_dr | python/Experiment/ExperimentsMLEM2.py | 1 | 32826 | # coding: utf-8
# python 3.5
from itertools import product
from sklearn.metrics import accuracy_score
from multiprocessing import Pool
from multiprocessing import freeze_support
import numpy as np
import sys
import os
sys.path.append(os.path.dirname(os.path.abspath("__file__"))+'/../MLEM2')
#sys.path.append('/Users/ook... | mit |
MTgeophysics/mtpy | mtpy/imaging/plot_mt_response.py | 1 | 63921 | # -*- coding: utf-8 -*-
"""
=================
plot_mt_response
=================
Plots the resistivity and phase for different modes and components
Created 2017
@author: jpeacock
"""
# ==============================================================================
import os
import numpy as np
import matplotlib.pypl... | gpl-3.0 |
ChinaQuants/pyfolio | pyfolio/plotting.py | 1 | 47651 | #
# Copyright 2015 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | apache-2.0 |
v0devil/jltom | datagenerator_py3.py | 1 | 38469 | from collections import OrderedDict
import json
import logging
#from pylab import *
import numpy as np
import pandas as pd
import sys
import re
import os
import zipfile
import sqlalchemy
import shutil
import time
import datetime
import argparse
from xml.etree.ElementTree import ElementTree
from os.path import basename
... | mit |
Weihonghao/ECM | Vpy34/lib/python3.5/site-packages/pandas/tests/indexes/test_base.py | 3 | 78516 | # -*- coding: utf-8 -*-
import pytest
from datetime import datetime, timedelta
import pandas.util.testing as tm
from pandas.core.indexes.api import Index, MultiIndex
from pandas.tests.indexes.common import Base
from pandas.compat import (range, lrange, lzip, u,
text_type, zip, PY3, PY36)
... | agpl-3.0 |
hhbyyh/spark | python/pyspark/sql/types.py | 1 | 65920 | #
# 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 |
timothyb0912/pylogit | src/pylogit/bootstrap.py | 1 | 40630 | # -*- coding: utf-8 -*-
"""
@author: Timothy Brathwaite
@name: Bootstrap Controller
@summary: This module provides functions that will control the bootstrapping
procedure.
"""
from __future__ import absolute_import
import sys
import time
import itertools
from copy import deepcopy
import numpy as... | bsd-3-clause |
Luigolas/PyReID | package/post_ranker.py | 1 | 30130 | from copy import copy
import math
import random
import cv2
from package.utilities import InitializationError
from sklearn.ensemble import RandomForestRegressor, RandomTreesEmbedding
from sklearn.semi_supervised import LabelSpreading, LabelPropagation
import numpy as np
from profilehooks import profile
__author__ = 'lu... | mit |
vortex-ape/scikit-learn | sklearn/tests/test_multiclass.py | 4 | 30508 | import pytest
import numpy as np
import scipy.sparse as sp
from re import escape
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import as... | bsd-3-clause |
SanPen/CopperPlate | Gui/gui.py | 1 | 39199 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'gui.ui'
#
# Created by: PyQt5 UI code generator 5.7
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_mainWindow(object):
def setupUi(self, mainWindow):
mainWindow.setO... | gpl-3.0 |
zoeyangyy/event-extraction | remote/wande-event.py | 1 | 38627 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Time : 2017/11/30 下午12:20
# @Author : Zoe
# @File : wande-event.py
# @Description : 1. 训练测试集按2017年划分 ok
# 2. 抽取batch的方法：只用每次shuffle的时候，training accuracy才高？？？
# 3. Recall@10 / 换成大类 / testing accuracy = 0.581037
# ... | mit |
GuessWhoSamFoo/pandas | pandas/tests/frame/test_constructors.py | 1 | 88609 | # -*- coding: utf-8 -*-
from __future__ import print_function
from datetime import datetime, timedelta
import functools
import itertools
import numpy as np
import numpy.ma as ma
import pytest
from pandas.compat import (
PY3, PY36, OrderedDict, is_platform_little_endian, lmap, long, lrange,
lzip, range, zip)... | bsd-3-clause |
xuewei4d/scikit-learn | sklearn/tree/_export.py | 3 | 37094 | """
This module defines export functions for decision trees.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Dawe <noel@dawe.me>
# Satrajit Gosh <satrajit.ghosh@gmail.com>
# Trevor... | bsd-3-clause |
toastedcornflakes/scikit-learn | sklearn/linear_model/least_angle.py | 1 | 57267 | """
Least Angle Regression algorithm. See the documentation on the
Generalized Linear Model for a complete discussion.
"""
from __future__ import print_function
# Author: Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Gael Varoquaux
#
# License: BSD 3 ... | bsd-3-clause |
GuessWhoSamFoo/pandas | pandas/core/arrays/period.py | 1 | 31494 | # -*- coding: utf-8 -*-
from datetime import timedelta
import operator
import numpy as np
from pandas._libs.tslibs import (
NaT, frequencies as libfrequencies, iNaT, period as libperiod)
from pandas._libs.tslibs.fields import isleapyear_arr
from pandas._libs.tslibs.period import (
DIFFERENT_FREQ, Incompatible... | bsd-3-clause |
grlee77/scipy | scipy/interpolate/interpolate.py | 2 | 99567 | __all__ = ['interp1d', 'interp2d', 'lagrange', 'PPoly', 'BPoly', 'NdPPoly',
'RegularGridInterpolator', 'interpn']
import itertools
import warnings
import numpy as np
from numpy import (array, transpose, searchsorted, atleast_1d, atleast_2d,
ravel, poly1d, asarray, intp)
import scipy.spe... | bsd-3-clause |
CollinRooney12/htsprophet | htsprophet/hts.py | 1 | 31238 | # -*- coding: utf-8 -*-
"""
Name: hts.py
Author: Collin Rooney
Last Updated: 7/18/2017
This script will contain functions for all types of hierarchical modeling approaches.
It will use the prophet package as a forecasting tool.
The general idea of it is very similar to the hts package in R, but it is a little
more spec... | mit |
darionyaphet/spark | python/pyspark/sql/functions.py | 1 | 115551 | #
# 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 |
alexggmatthews/GPflow_profiling | matplotlib2tikz.py | 1 | 62712 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2010--2014 Nico Schlömer
#
# This file is part of matplotlib2tikz.
#
# matplotlib2tikz 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,... | apache-2.0 |
jmmease/pandas | pandas/tests/frame/test_axis_select_reindex.py | 1 | 41654 | # -*- coding: utf-8 -*-
from __future__ import print_function
import pytest
from datetime import datetime
from numpy import random
import numpy as np
from pandas.compat import lrange, lzip, u
from pandas import (compat, DataFrame, Series, Index, MultiIndex,
date_range, isna)
import pandas as pd... | bsd-3-clause |
anntzer/scikit-learn | sklearn/datasets/_base.py | 2 | 40994 | """
Base IO code for all datasets
"""
# Copyright (c) 2007 David Cournapeau <cournape@gmail.com>
# 2010 Fabian Pedregosa <fabian.pedregosa@inria.fr>
# 2010 Olivier Grisel <olivier.grisel@ensta.org>
# License: BSD 3 clause
import csv
import hashlib
import os
import shutil
from collections im... | bsd-3-clause |
AbeJones/obspyck-binaries | obspyck.py | 1 | 171277 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#-------------------------------------------------------------------
# Filename: obspyck.py
# Purpose: ObsPyck main program
# Author: Tobias Megies, Lion Krischer
# Email: megies@geophysik.uni-muenchen.de
# License: GPLv2
#
# Copyright (C) 2010 Tobias Megies, Lion Kr... | gpl-2.0 |
pkgw/pwkit | pwkit/environments/casa/tasks.py | 1 | 126821 | # -*- mode: python; coding: utf-8 -*-
# Copyright 2015-2017 Peter Williams <peter@newton.cx> and collaborators.
# Licensed under the MIT License.
"""The way that the official ``casapy`` code is written, it's basically
impossible to import its tasks into a straight-Python environment. (Trust me,
I've tried.) So, this m... | mit |
MMTObservatory/mmtwfs | mmtwfs/zernike.py | 1 | 49140 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# coding=utf-8
"""
A collection of functions and classes for performing wavefront analysis using Zernike polynomials.
Several of these routines were adapted from https://github.com/tvwerkhoven/libtim-py. They have been updated to make them
more applicable... | bsd-3-clause |
gbrammer/grizli | grizli/prep.py | 1 | 219323 | """
Align direct images & make mosaics
"""
import os
import inspect
from collections import OrderedDict
import glob
import traceback
import numpy as np
import matplotlib.pyplot as plt
# conda install shapely
# from shapely.geometry.polygon import Polygon
import astropy.io.fits as pyfits
import astropy.wcs as pywcs
... | mit |
mclaughlin6464/pylearn2 | pylearn2/training_algorithms/sgd.py | 1 | 48347 | """
Stochastic Gradient Descent and related functionality such as
learning rate adaptation, momentum, and Polyak averaging.
"""
from __future__ import division
__authors__ = "Ian Goodfellow"
__copyright__ = "Copyright 2010-2012, Universite de Montreal"
__credits__ = ["Ian Goodfellow, David Warde-Farley"]
__license__ =... | bsd-3-clause |
DailyActie/Surrogate-Model | 01-codes/scikit-learn-master/sklearn/gaussian_process/kernels.py | 1 | 66380 | """Kernels for Gaussian process regression and classification.
The kernels in this module allow kernel-engineering, i.e., they can be
combined via the "+" and "*" operators or be exponentiated with a scalar
via "**". These sum and product expressions can also contain scalar values,
which are automatically converted to... | mit |
cjayb/mne-python | mne/tests/test_source_estimate.py | 1 | 58484 | # -*- coding: utf-8 -*-
#
# License: BSD (3-clause)
from copy import deepcopy
import os.path as op
import re
import numpy as np
from numpy.testing import (assert_array_almost_equal, assert_array_equal,
assert_allclose, assert_equal)
import pytest
from scipy import sparse
from scipy.optimize... | bsd-3-clause |
jfnavarro/st_analysis | scripts/align_sections.py | 1 | 32698 | #! /usr/bin/env python
"""
This script aligns a set of Spatial Transcriptomics datasets using the first
image as reference. It provides different alignment methods (manual
and automatic) and it outputs the aligned images, the aligned counts
matrices and the alignment spot coordinates.
@Author Jose Fernandez Navarro <... | mit |
ee-in/python-api | plotly/graph_objs/graph_objs.py | 1 | 52138 | """
graph_objs
==========
A module that understands plotly language and can manage the json
structures. This module defines two base classes: PlotlyList and PlotlyDict.
The former inherits from `list` and the latter inherits from `dict`. and is
A third structure, PlotlyTrace, is also considered a base class for all
su... | mit |
has2k1/plydata | plydata/helper_verbs.py | 1 | 112581 | """
Helper verbs
"""
from .operators import DataOperator
from .one_table_verbs import select, group_by
__all__ = ['call', 'tally', 'count', 'add_tally', 'add_count',
'arrange_all', 'arrange_at', 'arrange_if',
'create_all', 'create_at', 'create_if',
'group_by_all', 'group_by_at', 'grou... | bsd-3-clause |
ryfeus/lambda-packs | H2O/ArchiveH2O/h2o/h2o.py | 1 | 72731 | # -*- encoding: utf-8 -*-
"""
h2o -- module for using H2O services.
:copyright: (c) 2016 H2O.ai
:license: Apache License Version 2.0 (see LICENSE for details)
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import os
import warnings
import webbrowser
import type... | mit |
enigmampc/catalyst | tests/data/test_resample.py | 1 | 33664 | # Copyright 2016 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | apache-2.0 |
scidash/sciunit | sciunit/utils.py | 1 | 34388 | """
Utility functions for SciUnit.
"""
import contextlib
import functools
import hashlib
import importlib
import inspect
import os
import pkgutil
import re
import sys
import traceback
import unittest.mock
import warnings
from datetime import datetime
from io import StringIO, TextIOWrapper
from pathlib import Path
from... | mit |
toobaz/pandas | pandas/tests/indexes/datetimes/test_tools.py | 1 | 84892 | """ test to_datetime """
import calendar
from datetime import datetime, time
import locale
from dateutil.parser import parse
from dateutil.tz.tz import tzoffset
import numpy as np
import pytest
import pytz
from pandas._libs import tslib
from pandas._libs.tslibs import iNaT, parsing
from pandas.errors import OutOfBou... | bsd-3-clause |
Sixshaman/networkx | networkx/convert_matrix.py | 1 | 33223 | """Functions to convert NetworkX graphs to and from numpy/scipy matrices.
The preferred way of converting data to a NetworkX graph is through the
graph constuctor. The constructor calls the to_networkx_graph() function
which attempts to guess the input type and convert it automatically.
Examples
--------
Create a 10... | bsd-3-clause |
leggitta/mne-python | mne/io/fiff/tests/test_raw.py | 1 | 43370 | from __future__ import print_function
# Author: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis Engemann <denis.engemann@gmail.com>
#
# License: BSD (3-clause)
import os
import os.path as op
import glob
from copy import deepcopy
import warnings
import itertools as itt
import numpy as np
... | bsd-3-clause |
jakobkolb/MayaSim | mayasim/original_version/Mayasim_original.py | 1 | 31897 |
import numpy as np
import matplotlib.pyplot as plot
# from copy import deepcopy
import scipy.ndimage as ndimage
import os
import datetime
debug = False
#def main():
### load the initial variables
temp = np.load('0_RES_432x400_temp.npy')
temp = temp/12. ### factor 1/12 as in netlogo version
precip = np.load('0_RES_... | gpl-3.0 |
oxpeter/small_fry | degrees.py | 1 | 45544 | #!/usr/bin/env python
"""
This script compares the significant and non-significant genes between two experiments
and shows how many are concordant/non-concordant etc.
"""
import argparse
import collections
import itertools
import os
import re
import subprocess
import sys
import pandas as pd
import numpy as np
import... | gpl-2.0 |
andrrizzi/yank | Yank/utils.py | 1 | 61383 | import os
import re
import sys
import copy
import glob
import json
import shutil
import signal
import pandas
import inspect
import logging
import itertools
import subprocess
import collections
from contextlib import contextmanager
from pkg_resources import resource_filename
import mdtraj
import parmed
import numpy as... | mit |
laugustyniak/textlytics | textlytics/sentiment/generate_lexicons_and_results.py | 1 | 31997 | # coding: utf-8
import logging
import multiprocessing
import os
import pickle
import sys
import time
from math import sqrt
import enchant
import numpy as np
import codecs
import simplejson
import pandas as pd
from glob import glob
from nltk import word_tokenize
from nltk.corpus import stopwords
from nltk.tokenize impo... | mit |
Foorth/panda-bigmon-core | core/views.py | 1 | 437120 | import logging, re, json, commands, os, copy
from datetime import datetime, timedelta
import time
import json
import copy
import itertools, random
import string as strm
import math
from urllib import urlencode
from urlparse import urlparse, urlunparse, parse_qs
from django.utils.decorators import available_attrs
from d... | apache-2.0 |
zfrenchee/pandas | pandas/tseries/offsets.py | 1 | 79669 | # -*- coding: utf-8 -*-
from datetime import date, datetime, timedelta
import functools
import operator
from pandas.compat import range
from pandas import compat
import numpy as np
from pandas.core.dtypes.generic import ABCSeries, ABCDatetimeIndex, ABCPeriod
from pandas.core.tools.datetimes import to_datetime
from pa... | bsd-3-clause |
Aegeaner/spark | python/pyspark/sql/tests/test_pandas_udf_scalar.py | 1 | 37248 | #
# 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 |
annoviko/pyclustering | pyclustering/cluster/__init__.py | 1 | 34974 | """!
@brief pyclustering module for cluster analysis.
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
import itertools
import math
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from mpl_toolkits.mplot3d import Axes3D
from pyc... | gpl-3.0 |
yucelkilic/astrolib | astronomy.py | 1 | 58317 | # -*- coding: utf-8 -*-
from __future__ import print_function
from astropy import coordinates
from astropy import units as u
from astropy.wcs import WCS
from astropy.io import fits
from astropy.time import Time
from astropy.coordinates import get_body_barycentric
from astropy.table import Table, Column
from ccdproc i... | gpl-3.0 |
BryanCutler/spark | python/pyspark/pandas/plot/matplotlib.py | 1 | 30171 | #
# 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 |
themrmax/scikit-learn | sklearn/model_selection/tests/test_split.py | 2 | 52934 | """Test the split module"""
from __future__ import division
import warnings
import numpy as np
from scipy.sparse import coo_matrix, csc_matrix, csr_matrix
from scipy import stats
from scipy.misc import comb
from itertools import combinations
from itertools import combinations_with_replacement
from sklearn.utils.testi... | bsd-3-clause |
winklerand/pandas | pandas/tests/scalar/test_timedelta.py | 1 | 32039 | """ test the scalar Timedelta """
import pytest
import numpy as np
from datetime import timedelta
import pandas as pd
import pandas.util.testing as tm
from pandas.core.tools.timedeltas import _coerce_scalar_to_timedelta_type as ct
from pandas import (Timedelta, TimedeltaIndex, timedelta_range, Series,
... | bsd-3-clause |
BiaDarkia/scikit-learn | sklearn/tree/tests/test_tree.py | 7 | 66124 | """
Testing for the tree module (sklearn.tree).
"""
import copy
import pickle
from functools import partial
from itertools import product
import struct
import numpy as np
from scipy.sparse import csc_matrix
from scipy.sparse import csr_matrix
from scipy.sparse import coo_matrix
from sklearn.random_projection import s... | bsd-3-clause |
rabernat/xray | xarray/tests/test_conventions.py | 1 | 32224 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import contextlib
import numpy as np
import pandas as pd
import pytest
import warnings
import pytest
from xarray import conventions, Variable, Dataset, open_dataset
from xarray.core imp... | apache-2.0 |
pylayers/pylayers | pylayers/gui/editor_select.py | 1 | 63070 | #!usr/bin/python
# -*- coding: latin1 -*-
from __future__ import print_function
import os
import pdb
from PIL import Image
import numpy as np
from pylayers.util import geomutil as geu
from pylayers.util import pyutil as pyu
import pylayers.util.plotutil as plu
import matplotlib.pyplot as plt
from matplotlib.widgets i... | mit |
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