Outlier Detection

  • 下面這兩個 cell 會讓這個 nb file 沒辦法 export 成 .slides.html 但 live 很方便

[2]:

%%html
<style>
 .container.slides .celltoolbar, .container.slides .hide-in-slideshow {
    display: None ! important;
}
</style>

[3]:

def hide_code_in_slideshow():
    from IPython import display
    import binascii
    import os
    uid = binascii.hexlify(os.urandom(8)).decode()
    html = """<div id="%s"></div>
    <script type="text/javascript">
        $(function(){
            var p = $("#%s");
            if (p.length==0) return;

            while (!p.hasClass("cell")) {
                p=p.parent();

                if (p.prop("tagName") =="body") return;
            }
            var cell = p;
            cell.find(".input").addClass("hide-in-slideshow")
        });
    </script>""" % (uid, uid)
    display.display_html(html, raw=True)

Slide 1

[4]:

hide_code_in_slideshow()

from pandas import DataFrame
import matplotlib.pyplot as plt

DataFrame([1, 2, 3, 4, 5]).plot()
plt.show()
../_images/slides_od_live_5_1.png 
[5]:

hide_code_in_slideshow()

import numpy as np
from bokeh.plotting import figure, show
from bokeh.io import output_notebook

N = 4000

x = np.random.random(size=N) * 100
y = np.random.random(size=N) * 100
radii = np.random.random(size=N) * 1.5
colors = ['#%02x%02x%02x' % (int(r), int(g), 150) for r, g in zip(np.floor(50+2*x), np.floor(30+2*y))]
output_notebook()

p = figure()
p.circle(x, y, radius=radii, fill_color=colors, fill_alpha=0.6, line_color=None)
show(p)
Loading BokehJS ...