bhawkins

#!/usr/bin/env julia
# Demonstrate the following features:
# 1) Complex type compatible with h5py and pytables Python modules.
# 2) Create dataset with this type, chunking, etc.
# 3) Write data in pieces, not all at once.
# 4) Read back data in h5py format as native julia complex type.
#
# Brian Hawkins
# 2018-09-08
# MIT license

bhawkins

#!python
# Adapted from StackOverflow user mab
# http://stackoverflow.com/a/33672015/112699
import timeit
import numpy as np
import pandas as pd
from IPython.display import display

def profile_this(methods, setup='', n=100, niter=10**4):
    print('n: {0}, niter: {1:.0e}'.format(n, niter))

bhawkins

#!/usr/bin/env python

import numpy as np
import pylab as p
from mpl_toolkits.mplot3d import Axes3D

n = 201
R = 1.0
gamma = 1

bhawkins

#!/usr/bin/env python
from __future__ import print_function
import timeit
import numpy as np
from distutils.version import StrictVersion
from six.moves import range

setup = """
import numpy as np
from six.moves import range

bhawkins

#!/usr/bin/env python
from __future__ import print_function
import numpy as np
from numpy import log, ceil


def nextpower(n, base=2.0):
    """Return the next integral power of two greater than the given number.
    Specifically, return m such that
        m >= n

bhawkins

#!/usr/bin/env python

import numpy as np


def medfilt (x, k):
    """Apply a length-k median filter to a 1D array x.
    Boundaries are extended by repeating endpoints.
    """
    assert k % 2 == 1, "Median filter length must be odd."