# makes sure inline plotting is enabled
%pylab --no-import-all inline 

#loads a customer marplotlib configuration file
def CustomPlot():
    import json
    s = json.load( open("static/matplotlibrc.json") )
    matplotlib.rcParams.update(s)
    figsize(18, 6) 

from IPython.core.display import HTML
def css_styling():
    styles = open("static/custom.css", "r").read()
    return HTML(styles)
css_styling()

# press shift-enter to run code
print "Hallo Pycon"

#IPython -- An enhanced Interactive Python - Quick Reference Card
%quickref  # now press shift-ender

# lets degine a function with a long name.
def long_silly_dummy_name(a, b):
    """
    This is the docstring for dummy. 
    It takes two arguments a and b
    It returns the sum of a and b
    No error checking is done!
    """
    return a+b

# lets get the docstring or some help
long_silly_dummy_name?

long_silly_dummy_name??

#press tab to autocplete
long_si

# press shift-enter to run
long_silly_dummy_name(5,6)

%%timeit 
x = 0   # setup
for i in range(100000):    #lets use range here
    x = x + i**2

%%timeit 
x = 0   # setup
for i in xrange(100000):   #replace range with slightly improved xrange
    x += i**2

from IPython.display import HTML

raw = raw_input("enter your input here >>> ")

print "Hallo, ",raw

from IPython.display import FileLink, FileLinks
FileLinks('.', notebook_display_formatter=True)

filelist = !ls                     #read the current directory into variable
for x,i in enumerate(filelist):
    print '#',x, '--->', i

from IPython.display import Image
Image('static/python-vs-java.jpg')

from IPython.display import YouTubeVideo
YouTubeVideo('iwVvqwLDsJo', width=200, height=200)

from matplotlib.pylab import xkcd
#xkcd()
CustomPlot()
from numpy import *

#generate some data
n = array([0,1,2,3,4,5])
xx = np.linspace(-0.75, 1., 100)
x = linspace(0, 5, 10)
y = x ** 2

fig, axes = plt.subplots(1, 4, figsize=(12,3))

axes[0].scatter(xx, xx + 0.25*randn(len(xx)))
axes[0].set_title('scatter')
axes[1].step(n, n**2, lw=2)
axes[1].set_title('step')
axes[2].bar(n, n**2, align="center", width=0.5, alpha=0.5)
axes[2].set_title('bar')
axes[3].fill_between(x, x**2, x**3, color="green", alpha=0.5);
axes[3].set_title('fill')

for i in range(4):
    axes[i].set_xlabel('x')
axes[0].set_ylabel('y')
show()

CustomPlot()
font_size = 20
figsize(11.5, 6) 
fig, ax = plt.subplots()

ax.plot(xx, xx**2, xx, xx**3)
ax.set_title(r"Combined Plot $y=x^2$ vs. $y=x^3$", fontsize = font_size)
ax.set_xlabel(r'$x$', fontsize = font_size)
ax.set_ylabel(r'$y$', fontsize = font_size)
fig.tight_layout()
# inset
inset_ax = fig.add_axes([0.29, 0.45, 0.35, 0.35]) # X, Y, width, height
inset_ax.plot(xx, xx**2, xx, xx**3)
inset_ax.set_title(r'zoom $x=0$',fontsize=font_size)
# set axis range
inset_ax.set_xlim(-.2, .2)
inset_ax.set_ylim(-.005, .01)
# set axis tick locations
inset_ax.set_yticks([0, 0.005, 0.01])
inset_ax.set_xticks([-0.1,0,.1]);
show()

CustomPlot()
figsize(11.5, 6) 
font_size = 20
fig, ax = plt.subplots()
ax.plot(xx, xx**2, xx, xx**3)
ax.set_xlabel(r'$x$', fontsize = font_size)
ax.set_ylabel(r'$y$', fontsize = font_size)
ax.set_title(r"Adding Text $y=x^2$ vs. $y=x^3$", fontsize = font_size)
ax.text(0.15, 0.2, r"$y=x^2$", fontsize=font_size, color="blue")
ax.text(0.65, 0.1, r"$y=x^3$", fontsize=font_size, color="green");

from matplotlib import pyplot as plt
import numpy as np

plt.xkcd()

fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
plt.xticks([])
plt.yticks([])
ax.set_ylim([-30, 10])

data = np.ones(100)
data[70:] -= np.arange(30)

plt.annotate(
    'THE DAY I REALIZED\nI COULD COOK BACON\nWHENEVER I WANTED',
    xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))

plt.plot(data)

plt.xlabel('time')
plt.ylabel('my overall health')

fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.bar([-0.125, 1.0-0.125], [0, 100], 0.25)
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
ax.xaxis.set_ticks_position('bottom')
ax.set_xticks([0, 1])
ax.set_xlim([-0.5, 1.5])
ax.set_ylim([0, 110])
ax.set_xticklabels(['CONFIRMED BY\nEXPERIMENT', 'REFUTED BY\nEXPERIMENT'])
plt.yticks([])

plt.title("CLAIMS OF SUPERNATURAL POWERS")

plt.show()

from sympy import *
init_printing(use_latex=True)
x = Symbol('x')
y = Symbol('y')
series(exp(x), x, 1, 5)

eq = ((x+y)**2 * (x+1))
eq

expand(eq)

a = 1/x + (x*sin(x) - 1)/x
a

simplify(a)

from pandas import DataFrame, read_csv

Cape_Weather = DataFrame( read_csv('data/CapeTown_2009_Temperatures.csv' ))
Cape_Weather.head()

CustomPlot()
figsize(11.5, 6)
font_size = 20
title('Cape Town temparature(2009)',fontsize = font_size)
xlabel('Day number',fontsize = font_size)
ylabel(r'Temperature [$^\circ C$] ',fontsize = font_size)
Cape_Weather.high.plot()
Cape_Weather.low.plot()
show()

CustomPlot()
figsize(11.5, 6)
font_size = 20
title( 'Mean solar radiation(horisontal plane)', fontsize=font_size)
xlabel('Month Number', fontsize = font_size)
ylabel(r'$MJ / day / m^2$',fontsize = font_size)
Cape_Weather.radiation.plot()
show()

# lets look at a proxy for heating degree and cooling degree days
level = 25
print Cape_Weather[ Cape_Weather['high'] > level  ].count()
print Cape_Weather[ Cape_Weather['high'] <= level ].count()

# Basic descriptive statistics
print Cape_Weather['high'].describe()

CustomPlot()
figsize(11.5, 6)
font_size = 20
title('Cape Town temperature distribution', fontsize=font_size)
ylabel('Day count',fontsize = font_size)
xlabel(r'Temperature [$^\circ C $] ',fontsize = font_size)
Cape_Weather['high'].hist(bins=6)
show()

from IPython.display import Math
Math(r'F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx')

from IPython.display import Latex
Latex(r"""\begin{eqnarray}
\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\
\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
\nabla \cdot \vec{\mathbf{B}} & = 0 
\end{eqnarray}""")

%pdb on

foo = 1
bar = 'a'
print foo+bar

%load http://pastebin.com/raw.php?i=mGiV1FwY

CustomPlot()
font_size = 20
figsize(11.5, 6)

t = arange(0.0, 2.0, 0.01)
s = sin(2*pi*t)
plot(t, s)

xlabel(r'time $(s)$', fontsize=font_size)
ylabel('voltage $(mV)$', fontsize=font_size)
title('Voltage', fontsize=font_size)
grid(True)

from IPython.display import HTML

input_form = """
<div style="background-color:gainsboro; border:solid black; width:630px; padding:20px;">
Variable Name: <input type="text" id="var_name" value="var"><br>
Variable Value: <input type="text" id="var_value" value="val"><br>
<button onclick="set_value()">Set Value</button>
</div>
"""

javascript = """
<script type="text/Javascript">
    function set_value(){
        var var_name = document.getElementById('var_name').value;
        var var_value = document.getElementById('var_value').value;
        var command = var_name + " = '" + var_value + "'";
        console.log("Executing Command: " + command);
        
        var kernel = IPython.notebook.kernel;
        kernel.execute(command);
    }
</script>
"""


HTML(input_form + javascript)

qwerty


%pastebin "cell one" 0-10

%connect_info

!ipython builddocs.ipy;
print "Done"

FileLinks('output/')