prettify syntax highlighting in blogger

Labels: Google, Informatics
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pre class="prettyprint  lang-*" linenums wrap="wrap" ggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggg

source: http://www.stylifyyourblog.com/2012/07/syntax-highlighting-in-blogger-using.html

The lang-* class specifies the language file extensions.
  File extensions supported by default include
    "bsh", "c", "cc", "cpp", "cs", "csh", "cyc", "cv", "htm", "html",
    "java", "js", "m", "mxml", "perl", "pl", "pm", "py", "rb", "sh",
    "xhtml", "xml", "xsl".

python 테스트

import matplotlib.pyplot as plt

def get_demo_image():
    import numpy as np
    from matplotlib.cbook import get_sample_data
    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
    z = np.load(f)
    # z is a numpy array of 15x15
    return z, (-3,4,-4,3)


def demo_simple_image(ax):
    Z, extent = get_demo_image()

    im = ax.imshow(Z, extent=extent, interpolation="nearest")
    cb = plt.colorbar(im)
    plt.setp(cb.ax.get_yticklabels(), visible=False)


def demo_locatable_axes_hard(fig1):

    from mpl_toolkits.axes_grid1 \
         import SubplotDivider, LocatableAxes, Size

    divider = SubplotDivider(fig1, 2, 2, 2, aspect=True)

    # axes for image
    ax = LocatableAxes(fig1, divider.get_position())

    # axes for coloarbar
    ax_cb = LocatableAxes(fig1, divider.get_position())

    h = [Size.AxesX(ax), # main axes
         Size.Fixed(0.05), # padding, 0.1 inch
         Size.Fixed(0.2), # colorbar, 0.3 inch
         ]

    v = [Size.AxesY(ax)]

    divider.set_horizontal(h)
    divider.set_vertical(v)

    ax.set_axes_locator(divider.new_locator(nx=0, ny=0))
    ax_cb.set_axes_locator(divider.new_locator(nx=2, ny=0))

    fig1.add_axes(ax)
    fig1.add_axes(ax_cb)

    ax_cb.axis["left"].toggle(all=False)
    ax_cb.axis["right"].toggle(ticks=True)

    Z, extent = get_demo_image()

    im = ax.imshow(Z, extent=extent, interpolation="nearest")
    plt.colorbar(im, cax=ax_cb)
    plt.setp(ax_cb.get_yticklabels(), visible=False)


def demo_locatable_axes_easy(ax):
    from mpl_toolkits.axes_grid1 import make_axes_locatable

    divider = make_axes_locatable(ax)

    ax_cb = divider.new_horizontal(size="5%", pad=0.05)
    fig1 = ax.get_figure()
    fig1.add_axes(ax_cb)

    Z, extent = get_demo_image()
    im = ax.imshow(Z, extent=extent, interpolation="nearest")

    plt.colorbar(im, cax=ax_cb)
    ax_cb.yaxis.tick_right()
    for tl in ax_cb.get_yticklabels():
        tl.set_visible(False)
    ax_cb.yaxis.tick_right()


def demo_images_side_by_sied(ax):
    from mpl_toolkits.axes_grid1 import make_axes_locatable

    divider = make_axes_locatable(ax)

    Z, extent = get_demo_image()
    ax2 = divider.new_horizontal(size="100%", pad=0.05)
    fig1 = ax.get_figure()
    fig1.add_axes(ax2)

    ax.imshow(Z, extent=extent, interpolation="nearest")
    ax2.imshow(Z, extent=extent, interpolation="nearest")
    for tl in ax2.get_yticklabels():
        tl.set_visible(False)


def demo():

    fig1 = plt.figure(1, (6, 6))
    fig1.clf()

    ## PLOT 1
    # simple image & colorbar
    ax = fig1.add_subplot(2, 2, 1)
    demo_simple_image(ax)

    ## PLOT 2
    # image and colorbar whose location is adjusted in the drawing time.
    # a hard way

    demo_locatable_axes_hard(fig1)


    ## PLOT 3
    # image and colorbar whose location is adjusted in the drawing time.
    # a easy way

    ax = fig1.add_subplot(2, 2, 3)
    demo_locatable_axes_easy(ax)


    ## PLOT 4
    # two images side by sied with fixed padding.

    ax = fig1.add_subplot(2, 2, 4)
    demo_images_side_by_sied(ax)

    plt.draw()
    plt.show()

demo()

black theme

.kwd{color:#93C763}
.com{color:#66747B}
.typ{color:#678CB1}
.lit{color:#FACD22}
.tag{color:#8AC763}
.atn{color:#E0E2E4}
.dec{color:purple}
pre.prettyprint{border:0 solid #888}
.prettyprint{background:#000}
li.L0,li.L1,li.L2,li.L3,li.L4,li.L5,li.L6,li.L7,li.L8,li.L9{color:#555;list-style-type:decimal;height:10px;}
li.L1,li.L3,li.L5,li.L7,li.L9{background:#000;height:10px;}
.str,.atv{color:#EC7600}
.pun,.pln{color:#F1F2F3}
.prettyprinted{word-wrap:break-word;background:#000;border-radius:0px}
@media print {
.com{color:#600;font-style:italic}
.typ{color:#404;font-weight:700}
.lit{color:#044}
.pun{color:#440}
.pln{color:#000}
.atn{color:#404}
.str,.atv{color:#060}
.kwd,.tag{color:#006;font-weight:700}
}

white theme

.pln{color:#000}
pre.prettyprint{border:1px solid #888;padding:2px}
ol.linenums{margin-top:0;margin-bottom:0}
li.L0,li.L1,li.L2,li.L3,li.L5,li.L6,li.L7,li.L8{list-style-type:decimal;height=10px}
#li.L1,li.L3,li.L5,li.L7,li.L9{background:#eee}
@media screen {
.com{color:#800}
.lit{color:#066}
.pun,.opn,.clo{color:#660}
.fun{color:red}
.str,.atv{color:#080}
.kwd,.tag{color:#008}
.typ,.atn,.dec,.var{color:#606}
}
@media print,projection {
.com{color:#600;font-style:italic}
.typ{color:#404;font-weight:700}
.lit{color:#044}
.pun,.opn,.clo{color:#440}
.atn{color:#404}
.str,.atv{color:#060}
.kwd,.tag{color:#006;font-weight:700}
}

이메일로 전송BlogThis!X에 공유Facebook에서 공유

Labels: Google, Informatics