rkern

import hashlib
import linecache
import time
import types

def code_name(code):
    """ Compute a (probably) unique name for code for caching.
    """
    hash_digest = hashlib.md5(code).hexdigest()
    return '<code %s>' % hash_digest

rkern

from IPython.frontend.qt.console.ipython_widget import IPythonWidget
from IPython.lib import guisupport

from qtkernelmanager import QtKernelManager


def main():
    app = guisupport.get_app_qt4()

    km = QtKernelManager()

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#include "Python.h"

static PyObject *
keywdarg_parrot(PyObject *self, PyObject *args, PyObject *keywds)
{
    PyObject *foo, *bar, *baz;
    int bat, blah;

    foo = NULL;

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from collections import defaultdict

from enable.api import (AbstractOverlay, ColorTrait,
    Component as EnableComponent, Container as EnableContainer, LineStyle,
    transparent_color)
from kiva.constants import FILL, STROKE
from traits.api import (Any, Bool, Float, HasTraits, Instance, List, Property,
    NO_COMPARE, on_trait_change)

from casuarius import medium

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#!/usr/bin/env python
# -*- coding: UTF-8 -*-

import cPickle
import multiprocessing
import os
import signal
import sys
import time

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""" A plot made up of disconnected line segments.
"""

import warnings

import numpy as np

from enthought.chaco.base_xy_plot import BaseXYPlot
from enthought.enable.api import black_color_trait, ColorTrait, LineStyle
from enthought.traits.api import Float, List, Str, on_trait_change

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import datetime

import numpy as np
import pandas


dtype = np.dtype([
    ("Index", object),
    ("Symbol", object),
    ("Year", int),

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""" Mixin to make Component classes adhere to the EnamlFactory
interface.
"""

from enaml.core.toolkit import Toolkit
from enaml.core.base_component import BaseComponent


class NeighborLookupMixin(object):
    """ Mixin to provide an EnamlFactory interface for BaseComponent

rkern

"""
Demonstrates chaco performance with large datasets.

There are 10 plots with 100,000 points each.  Right-click and drag to
create a range selection region.  The region can be moved around and
resized (drag the edges).  These interactions are very fast because
of the backbuffering built into chaco.

Zooming with the mousewheel and the zoombox (as described in simple_line.py)
is also available, but panning is not.

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#!/usr/bin/env python
"""
Draws several overlapping line plots like simple_line.py, but uses a separate
Y range for each plot.  Also has a second Y-axis on the right hand side.
Demonstrates use of the BroadcasterTool.

Left-drag pans the plot.

Right-click and dragging on the legend allows you to reposition the legend.