hayd

A basic HTML bar chart. Part of the Let’s Make a Bar Chart tutorial.

hayd

test

hayd

Keybase proof

I hereby claim:

• I am hayd on github.
• I am hayd (https://keybase.io/hayd) on keybase.
• I have a public key whose fingerprint is D034 7EA2 0535 504B B3AC 27EF 2125 41F4 444C 4308

To claim this, I am signing this object:

hayd

import VoronoiDelaunay: Point2D, DelaunayTessellation, push!


# Create DelaunayTessellation with n points from an image
function from_image(img, n)

    # placing points in places that represent the image
    pts = Point2D[]
    for i in 1:n
        x = rand()

hayd

nosetests 2> nose_output.log

hayd

type MetaDoc
    docstring::Base.Markdown.MD
    sections::Vector{Pair}

    MetaDoc(docstring, sections) = new(docstring, [sections])
    MetaDoc(docstring, sections...) = new(docstring, [sections...])
end

m = MetaDoc(doc"....docs.... for `m`", :author=>"Me", :section=>"Foo functions")

hayd

@doc """
""" Base

# Essentials
# ==========
# 
# Introduction
# ------------
# 
# The Julia standard library contains a range of functions and macros appropriate for performing scientific and numerical computing, but is also as broad as those of many general purpose programming languages. Additional functionality is available from a growing collection of available packages. Functions are grouped by topic below.

hayd

"""Get useful information from live Python objects.

This module encapsulates the interface provided by the internal special
attributes (co_*, im_*, tb_*, etc.) in a friendlier fashion.
It also provides some help for examining source code and class layout.

Here are some of the useful functions provided by this module:

    ismodule(), isclass(), ismethod(), isfunction(), isgeneratorfunction(),
        isgenerator(), istraceback(), isframe(), iscode(), isbuiltin(),

hayd

--- original/pandas/tseries/tests/test_offsets.py
+++ fixed/pandas/tseries/tests/test_offsets.py
@@ -44,7 +44,7 @@
 
 
 ####
-## Misc function tests
+# Misc function tests
 ####
 

hayd

def append_frame(f='foo.csv', df=df, keep_open=False, n=1000):
    if keep_open:
        with open(f, mode='a') as f_:
            for i in xrange(n):
                df.to_csv(f_, mode='a')
    else:
        for i in xrange(n):
            df.to_csv(f, mode='a')
    os.remove(f)