dmcdougall

#include <iostream>
#include <hdf5.h>


// Constants
const char saveFilePath[] = "test.h5";
const hsize_t ndims = 2;
const hsize_t ncols = 3;

int main()

dmcdougall

def compute_corr(f, pad=2, normalise=True):
    n = pad * len(f)
    fk = np.fft.rfft(f, n=n)
    acf = np.fft.irfft(fk * np.conj(fk), n=n)
    acf = acf[:len(f)]
    if normalise:
        acf /= acf[0]
    acf = np.append(acf[::-1][:len(acf) - 1], acf)
    return acf

dmcdougall

/usr/bin/clang -fno-strict-aliasing -fno-common -dynamic -pipe -O2 -fwrapv -DNDEBUG -g -fwrapv -O3 -Wall -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1 -D_REENTRANT -I/opt/local/include -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include -I/opt/local/include -I. -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include -Isrc -Iagg24/include -I. -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include -I/opt/local/include/freetype2 -I/opt/local/include -I. -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/include/python2.7 -c src/backend_agg.cpp -o build/temp.macosx-10.8-x86_64-2.7/src/backend_agg.o
In file included from src/backend_agg.cpp:49:
In file included from src/file_compat.h:4:
/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include/numpy/npy_3kcompat.h:258:40: warning

dmcdougall

/usr/bin/clang -fno-strict-aliasing -fno-common -dynamic -pipe -O2 -fwrapv -DNDEBUG -g -fwrapv -O3 -Wall -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1 -D_REENTRANT -I/opt/local/include -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include -I/opt/local/include -I. -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include -Isrc -Iagg24/include -I. -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include -I/opt/local/include/freetype2 -I/opt/local/include -I. -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/include/python2.7 -c src/backend_agg.cpp -o build/temp.macosx-10.8-x86_64-2.7/src/backend_agg.o
In file included from src/backend_agg.cpp:42:
In file included from src/file_compat.h:4:
/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include/numpy/npy_3kcompat.h:258:40: warning

dmcdougall

import numpy as np
from matplotlib import rcParams
rcParams['text.usetex'] = False
from matplotlib.backends.backend_agg import FigureCanvasAgg as fc
from matplotlib.figure import Figure
import matplotlib.font_manager as fm

# Function to draw a random function. Yo dawg...
def rand_func():
    # Some random Fourier coefficients

dmcdougall

Dear matplotlib developers, 

I am attaching an updated boxplot method for axes.py that I would like 
to suggest as a replacement for the present one in 0.90. My code does 
not change any of the existing functionality, and simply adds a few 
options to the existing code: 

* I wanted to be able to draw boxplots entirely in black. 

* When plotting several boxes on the same axes, where some boxes are 

dmcdougall

    def boxplot(self, x, notch=0, sym='+', vert=1, whis=1.5,
                positions=None, widths=None, means=0, fill=0,
                linestyle='-', monochrome=0, limits=None,
                notchsize=None):
        """
        boxplot(x, notch=0, sym='+', vert=1, whis=1.5,
                positions=None, widths=None, means=0, fill=0,
                linestyle='-', monochrome=0, limits=None,
                notchsize=None)

dmcdougall

    def boxplot(self, x, notch=0, sym='b+', vert=1, whis=1.5,
                positions=None, widths=None, means=0, dofill=1,
                linestyle='-', monochrome=0, limits=None):
        """
        boxplot(x, notch=0, sym='+', vert=1, whis=1.5,
                positions=None, widths=None, means=0, dofill=1,
                linestyle='-', monochrome=0, limits=None)

        Make a box and whisker plot for each column of x.
        The box extends from the lower to upper quartile values

dmcdougall

1,2c1,4
<     def boxplot(self, x, notch=0, sym='b+', vert=1, whis=1.5,
<                 positions=None, widths=None):
---
>     def boxplot(self, x, notch=0, sym='+', vert=1, whis=1.5,
>                 positions=None, widths=None, means=0, fill=0,
>                 linestyle='-', monochrome=0, limits=None,
>                 notchsize=None):
5c7,9
<                 positions=None, widths=None)

dmcdougall

    def boxplot(self, x, notch=0, sym='+', vert=1, whis=1.5,
                positions=None, widths=None, means=0, fill=0,
                linestyle='-', monochrome=0, limits=None,
                notchsize=None):
        """
        boxplot(x, notch=0, sym='+', vert=1, whis=1.5,
                positions=None, widths=None, means=0, fill=0,
                linestyle='-', monochrome=0, limits=None,
                notchsize=None)