repo_name stringlengths 7 92 | path stringlengths 5 149 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 911 693k | license stringclasses 15
values |
|---|---|---|---|---|---|
offbye/paparazzi | sw/tools/calibration/calibrate_gyro.py | 87 | 4686 | #! /usr/bin/env python
# Copyright (C) 2010 Antoine Drouin
#
# This file is part of Paparazzi.
#
# Paparazzi 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, or (at your option)
# any later ... | gpl-2.0 |
stevenwudi/Kernelized_Correlation_Filter | CNN_training.py | 1 | 3640 | import numpy as np
from keras.optimizers import SGD
from models.CNN_CIFAR import cnn_cifar_batchnormalisation, cnn_cifar_small, cnn_cifar_nodropout, \
cnn_cifar_small_batchnormalisation
from models.DataLoader import DataLoader
from scripts.progress_bar import printProgress
from time import time, localtime
# this is... | gpl-3.0 |
galfaroi/trading-with-python | lib/extra.py | 77 | 2540 | '''
Created on Apr 28, 2013
Copyright: Jev Kuznetsov
License: BSD
'''
from __future__ import print_function
import sys
import urllib
import os
import xlrd # module for excel file reading
import pandas as pd
class ProgressBar:
def __init__(self, iterations):
self.iterations = iterations
... | bsd-3-clause |
dhhagan/PAM | Python/PAM.py | 1 | 5037 | #PAM.py
import re
import glob, os, time
from numpy import *
from pylab import *
def analyzeFile(fileName,delim):
cols = {}
indexToName = {}
lineNum = 0
goodLines = 0
shortLines = 0
FILE = open(fileName,'r')
for line in FILE:
line = line.strip()
if lineNum < 1:
lineNu... | mit |
shadowk29/cusumtools | legacy/minimal_psd.py | 1 | 12009 | ## COPYRIGHT
## Copyright (C) 2015 Kyle Briggs (kbrig035<at>uottawa.ca)
##
## This file is part of cusumtools.
##
## 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 Soft... | gpl-3.0 |
ual/urbansim | urbansim/utils/tests/test_misc.py | 5 | 3159 | import os
import shutil
import numpy as np
import pandas as pd
import pytest
from .. import misc
class _FakeTable(object):
def __init__(self, name, columns):
self.name = name
self.columns = columns
@pytest.fixture
def fta():
return _FakeTable('a', ['aa', 'ab', 'ac'])
@pytest.fixture
def ... | bsd-3-clause |
tienjunhsu/trading-with-python | lib/widgets.py | 78 | 3012 | # -*- coding: utf-8 -*-
"""
A collection of widgets for gui building
Copyright: Jev Kuznetsov
License: BSD
"""
from __future__ import division
import sys
from PyQt4.QtCore import *
from PyQt4.QtGui import *
import numpy as np
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as Figur... | bsd-3-clause |
dsimic/taxsims | ss.py | 1 | 1112 | import pandas as pd
import numpy as np
def ss_calc(
contrib_yearly, inv_gwth_rt, num_years, safe_withdrw_rate, start_age=28
):
"""
inv_gwth_rt is infaltion adjusted.
contrib_yearly is in first years dollars
"""
tot_years = max(0, 62 - start_age - num_years) + num_years
df = pd.DataFrame({
... | gpl-2.0 |
daniel20162016/my-first | read_xml_all/calcul_matrix_compare_je_good_192matrix.py | 1 | 6357 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 31 15:45:22 2016
@author: wang
"""
#from matplotlib import pylab as plt
#from numpy import fft, fromstring, int16, linspace
#import wave
from read_wav_xml_good_1 import*
from matrix_24_2 import*
from max_matrix_norm import*
import numpy as np
# open a wave file
filename... | mit |
mringel/ThinkStats2 | code/timeseries.py | 66 | 18035 | """This file contains code for use with "Think Stats",
by Allen B. Downey, available from greenteapress.com
Copyright 2014 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
"""
from __future__ import print_function
import pandas
import numpy as np
import statsmodels.formula.api as smf
import st... | gpl-3.0 |
yl565/statsmodels | statsmodels/stats/contingency_tables.py | 4 | 43623 | """
Methods for analyzing two-way contingency tables (i.e. frequency
tables for observations that are cross-classified with respect to two
categorical variables).
The main classes are:
* Table : implements methods that can be applied to any two-way
contingency table.
* SquareTable : implements methods that can... | bsd-3-clause |
JamiiTech/mplh5canvas | examples/multi_plot.py | 4 | 1357 | #!/usr/bin/python
"""Testbed for the animation functionality of the backend, with multiple figures.
It basically produces an long series of frames that get animated on the client
browser side, this time with two figures.
"""
import matplotlib
matplotlib.use('module://mplh5canvas.backend_h5canvas')
from pylab import ... | bsd-3-clause |
aavanian/bokeh | bokeh/sampledata/tests/test_world_cities.py | 2 | 1963 | #-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2017, Anaconda, Inc. All rights reserved.
#
# Powered by the Bokeh Development Team.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#---------------------------------------------------... | bsd-3-clause |
xiawei0000/Kinectforactiondetect | ChalearnLAPSample.py | 1 | 41779 | # coding=gbk
#-------------------------------------------------------------------------------
# Name: Chalearn LAP sample
# Purpose: Provide easy access to Chalearn LAP challenge data samples
#
# Author: Xavier Baro
#
# Created: 21/01/2014
# Copyright: (c) Xavier Baro 2014
# Licence: <your lic... | mit |
heli522/scikit-learn | examples/cluster/plot_lena_ward_segmentation.py | 271 | 1998 | """
===============================================================
A demo of structured Ward hierarchical clustering on Lena image
===============================================================
Compute the segmentation of a 2D image with Ward hierarchical
clustering. The clustering is spatially constrained in order
... | bsd-3-clause |
burjorjee/evolve-parities | evolveparities.py | 1 | 5098 | from contextlib import closing
from matplotlib.pyplot import plot, figure, hold, axis, ylabel, xlabel, savefig, title
from numpy import sort, logical_xor, transpose, logical_not
from numpy.numarray.functions import cumsum, zeros
from numpy.random import rand, shuffle
from numpy import mod, floor
import time
import clou... | gpl-3.0 |
matthiasrichter/AliceO2 | Analysis/Scripts/update_ccdb.py | 3 | 6042 | #!/usr/bin/env python3
# Copyright 2019-2020 CERN and copyright holders of ALICE O2.
# See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
# All rights not expressly granted are reserved.
#
# This software is distributed under the terms of the GNU General Public
# License v3 (GPL Version 3... | gpl-3.0 |
annahs/atmos_research | WHI_long_term_2min_data_to_db.py | 1 | 8596 | import sys
import os
import numpy as np
from pprint import pprint
from datetime import datetime
from datetime import timedelta
import mysql.connector
import math
import calendar
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib import dates
start = datetime(2009,7,15,4) #2... | mit |
inviwo/inviwo | data/scripts/matplotlib_create_transferfunction.py | 2 | 1270 | # Inviwo Python script
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import inviwopy
from inviwopy.glm import vec2,vec3,vec4
#http://matplotlib.org/examples/color/colormaps_reference.html
#Perceptually Uniform Sequential : #['viridis', 'inferno', 'plasma', 'magma']
#Sequential : #['Blues', 'BuGn', '... | bsd-2-clause |
xyguo/scikit-learn | examples/svm/plot_svm_nonlinear.py | 268 | 1091 | """
==============
Non-linear SVM
==============
Perform binary classification using non-linear SVC
with RBF kernel. The target to predict is a XOR of the
inputs.
The color map illustrates the decision function learned by the SVC.
"""
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
from sklearn imp... | bsd-3-clause |
acimmarusti/isl_exercises | chap3/chap3ex8.py | 1 | 1315 | from __future__ import print_function, division
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from pandas.tools.plotting import scatter_matrix
import statsmodels.formula.api as smf
#from sklearn.linear_model import LinearRegression
#import scipy, scipy.stats
#from statsmod... | gpl-3.0 |
naturali/tensorflow | tensorflow/examples/skflow/iris_run_config.py | 86 | 2087 | # 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 appl... | apache-2.0 |
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