-
Notifications
You must be signed in to change notification settings - Fork 8
Expand file tree
/
Copy pathcommon_date_problems.html
More file actions
395 lines (333 loc) · 25.1 KB
/
Copy pathcommon_date_problems.html
File metadata and controls
395 lines (333 loc) · 25.1 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>Fixing common date annoyances — Matplotlib 2.0.2.post4416.dev0+g1df513f documentation</title>
<link rel="stylesheet" href="../../_static/mpl.css"
type="text/css" />
<link rel="stylesheet" href="../../_static/pygments.css"
type="text/css" />
<link rel="stylesheet" href="../../_static/gallery.css" type="text/css" />
<script type="text/javascript">
var DOCUMENTATION_OPTIONS = {
URL_ROOT: '../../',
VERSION: '2.0.2.post4416.dev0+g1df513f',
COLLAPSE_INDEX: false,
FILE_SUFFIX: '.html',
HAS_SOURCE: true,
SOURCELINK_SUFFIX: '.txt'
};
</script>
<script type="text/javascript" src="../../_static/jquery.js"></script>
<script type="text/javascript" src="../../_static/underscore.js"></script>
<script type="text/javascript" src="../../_static/doctools.js"></script>
<link rel="search" type="application/opensearchdescription+xml"
title="Search within Matplotlib 2.0.2.post4416.dev0+g1df513f documentation"
href="../../_static/opensearch.xml"/>
<link rel="shortcut icon" href="../../_static/favicon.ico"/>
<link rel="index" title="Index" href="../../genindex.html"
/>
<link rel="search" title="Search" href="../../search.html"
/>
<link rel="top" title="Matplotlib 2.0.2.post4416.dev0+g1df513f documentation" href="../../index.html" />
</head>
<body>
<!-- The "Fork me on github" ribbon -->
<img style="float: right; margin-bottom: -40px; top: 0; right: 0; border: 0;" src="https://s3.amazonaws.com/github/ribbons/forkme_right_orange_ff7600.png" usemap="#ribbonmap"/>
<map name="ribbonmap">
<area shape="poly" coords="15,0,148,-1,148,135" href="https://github.com/matplotlib/matplotlib" title="Fork me on GitHub" />
</map>
<div style="background-color: white; text-align: left; padding: 10px 10px 15px 15px">
<a href="../../index.html"><img src="../../_static/logo2.svg" width="540px" border="0" alt="matplotlib"/></a>
</div>
<div class="related">
<h3>Navigation</h3>
<ul>
<li class="right" style="margin-right: 10px">
<a href="../../genindex.html" title="General Index"
accesskey="I">index</a></li>
<li class="right" >
<a href="../../py-modindex.html" title="Python Module Index"
>modules</a> |</li>
<li><a href="../../index.html">home</a>| </li>
<li><a href="../index.html">examples</a>| </li>
<li><a href="../../tutorials/index.html">tutorials</a>| </li>
<li><a href="../../api/pyplot_summary.html">pyplot</a>| </li>
<li><a href="../../contents.html">docs</a> »</li>
</ul>
</div>
<div class="sphinxsidebar">
<div class="sphinxsidebarwrapper"><a href="https://www.numfocus.org">
<image src="https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A">
</a>
<br/>
<a href="http://depsy.org/package/python/matplotlib">
<img src="../../_static/depsy_badge.svg">
</a>
<br/>
Travis-CI: <a href="https://travis-ci.org/matplotlib/matplotlib">
<img src="https://travis-ci.org/matplotlib/matplotlib.svg?branch=master"/>
</a>
<br/><div class="relations">
<h3>Related Topics</h3>
<ul>
<li><a href="../../contents.html">Documentation overview</a><ul>
</ul></li>
</ul>
</div>
<div role="note" aria-label="source link">
<h3>This Page</h3>
<ul class="this-page-menu">
<li><a href="../../_sources/gallery/recipes/common_date_problems.rst.txt"
rel="nofollow">Show Source</a></li>
</ul>
</div>
<div id="searchbox" style="display: none" role="search">
<h3>Quick search</h3>
<form class="search" action="../../search.html" method="get">
<div><input type="text" name="q" /></div>
<div><input type="submit" value="Go" /></div>
<input type="hidden" name="check_keywords" value="yes" />
<input type="hidden" name="area" value="default" />
</form>
</div>
<script type="text/javascript">$('#searchbox').show(0);</script>
</div>
</div>
<div class="document">
<div class="documentwrapper">
<div class="bodywrapper">
<div class="body">
<div class="section" id="fixing-common-date-annoyances">
<span id="sphx-glr-gallery-recipes-common-date-problems-py"></span><h1>Fixing common date annoyances<a class="headerlink" href="#fixing-common-date-annoyances" title="Permalink to this headline">¶</a></h1>
<p>Matplotlib allows you to natively plots python datetime instances, and
for the most part does a good job picking tick locations and string
formats. There are a couple of things it does not handle so
gracefully, and here are some tricks to help you work around them.
We’ll load up some sample date data which contains datetime.date
objects in a numpy record array:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">63</span><span class="p">]:</span> <span class="n">datafile</span> <span class="o">=</span> <a href="../../api/cbook_api.html#matplotlib.cbook.get_sample_data" title="View documentation for matplotlib.cbook.get_sample_data"><span class="n">cbook</span><span class="o">.</span><span class="n">get_sample_data</span></a><span class="p">(</span><span class="s1">'goog.npz'</span><span class="p">)</span>
<span class="n">In</span> <span class="p">[</span><span class="mi">64</span><span class="p">]:</span> <span class="n">r</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">datafile</span><span class="p">)[</span><span class="s1">'price_data'</span><span class="p">]</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">recarray</span><span class="p">)</span>
<span class="n">In</span> <span class="p">[</span><span class="mi">65</span><span class="p">]:</span> <span class="n">r</span><span class="o">.</span><span class="n">dtype</span>
<span class="n">Out</span><span class="p">[</span><span class="mi">65</span><span class="p">]:</span> <span class="n">dtype</span><span class="p">([(</span><span class="s1">'date'</span><span class="p">,</span> <span class="s1">'<M8[D]'</span><span class="p">),</span> <span class="p">(</span><span class="s1">''</span><span class="p">,</span> <span class="s1">'|V4'</span><span class="p">),</span> <span class="p">(</span><span class="s1">'open'</span><span class="p">,</span> <span class="s1">'<f8'</span><span class="p">),</span>
<span class="p">(</span><span class="s1">'high'</span><span class="p">,</span> <span class="s1">'<f8'</span><span class="p">),</span> <span class="p">(</span><span class="s1">'low'</span><span class="p">,</span> <span class="s1">'<f8'</span><span class="p">),</span> <span class="p">(</span><span class="s1">'close'</span><span class="p">,</span> <span class="s1">'<f8'</span><span class="p">),</span>
<span class="p">(</span><span class="s1">'volume'</span><span class="p">,</span> <span class="s1">'<i8'</span><span class="p">),</span> <span class="p">(</span><span class="s1">'adj_close'</span><span class="p">,</span> <span class="s1">'<f8'</span><span class="p">)])</span>
<span class="n">In</span> <span class="p">[</span><span class="mi">66</span><span class="p">]:</span> <span class="n">r</span><span class="o">.</span><span class="n">date</span>
<span class="n">Out</span><span class="p">[</span><span class="mi">66</span><span class="p">]:</span>
<span class="n">array</span><span class="p">([</span><span class="s1">'2004-08-19'</span><span class="p">,</span> <span class="s1">'2004-08-20'</span><span class="p">,</span> <span class="s1">'2004-08-23'</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="s1">'2008-10-10'</span><span class="p">,</span>
<span class="s1">'2008-10-13'</span><span class="p">,</span> <span class="s1">'2008-10-14'</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="s1">'datetime64[D]'</span><span class="p">)</span>
</pre></div>
</div>
<p>The dtype of the NumPy record array for the field <code class="docutils literal"><span class="pre">date</span></code> is <code class="docutils literal"><span class="pre">datetime64[D]</span></code>
which means it is a 64-bit <code class="xref py py-obj docutils literal"><span class="pre">np.datetime64</span></code> in ‘day’ units. While this format is
more portable, Matplotlib cannot plot this format natively yet. We can plot
this data by changing the dates to <a class="reference external" href="https://docs.python.org/2/library/datetime.html#datetime.date" title="(in Python v2.7)"><code class="xref py py-obj docutils literal"><span class="pre">datetime.date</span></code></a> instances instead, which can
be achieved by converting to an object array:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">67</span><span class="p">]:</span> <span class="n">r</span><span class="o">.</span><span class="n">date</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">'O'</span><span class="p">)</span>
<span class="n">array</span><span class="p">([</span><span class="n">datetime</span><span class="o">.</span><span class="n">date</span><span class="p">(</span><span class="mi">2004</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">19</span><span class="p">),</span> <span class="n">datetime</span><span class="o">.</span><span class="n">date</span><span class="p">(</span><span class="mi">2004</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">20</span><span class="p">),</span>
<span class="n">datetime</span><span class="o">.</span><span class="n">date</span><span class="p">(</span><span class="mi">2004</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">23</span><span class="p">),</span> <span class="o">...</span><span class="p">,</span> <span class="n">datetime</span><span class="o">.</span><span class="n">date</span><span class="p">(</span><span class="mi">2008</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">),</span>
<span class="n">datetime</span><span class="o">.</span><span class="n">date</span><span class="p">(</span><span class="mi">2008</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">13</span><span class="p">),</span> <span class="n">datetime</span><span class="o">.</span><span class="n">date</span><span class="p">(</span><span class="mi">2008</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">14</span><span class="p">)],</span>
<span class="n">dtype</span><span class="o">=</span><span class="nb">object</span><span class="p">)</span>
</pre></div>
</div>
<p>The dtype of this converted array is now <code class="docutils literal"><span class="pre">object</span></code> and it is filled with
datetime.date instances instead.</p>
<p>If you plot the data,</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">67</span><span class="p">]:</span> <span class="n">plot</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">date</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">'O'</span><span class="p">),</span> <span class="n">r</span><span class="o">.</span><span class="n">close</span><span class="p">)</span>
<span class="n">Out</span><span class="p">[</span><span class="mi">67</span><span class="p">]:</span> <span class="p">[</span><span class="o"><</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">lines</span><span class="o">.</span><span class="n">Line2D</span> <span class="nb">object</span> <span class="n">at</span> <span class="mh">0x92a6b6c</span><span class="o">></span><span class="p">]</span>
</pre></div>
</div>
<p>you will see that the x tick labels are all squashed together.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.cbook</span> <span class="kn">as</span> <span class="nn">cbook</span>
<span class="kn">import</span> <span class="nn">matplotlib.dates</span> <span class="kn">as</span> <span class="nn">mdates</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="k">with</span> <a href="../../api/cbook_api.html#matplotlib.cbook.get_sample_data" title="View documentation for matplotlib.cbook.get_sample_data"><span class="n">cbook</span><span class="o">.</span><span class="n">get_sample_data</span></a><span class="p">(</span><span class="s1">'goog.npz'</span><span class="p">)</span> <span class="k">as</span> <span class="n">datafile</span><span class="p">:</span>
<span class="n">r</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">datafile</span><span class="p">)[</span><span class="s1">'price_data'</span><span class="p">]</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">recarray</span><span class="p">)</span>
<span class="c1"># Matplotlib prefers datetime instead of np.datetime64.</span>
<span class="n">date</span> <span class="o">=</span> <span class="n">r</span><span class="o">.</span><span class="n">date</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">'O'</span><span class="p">)</span>
<a href="../../api/_as_gen/matplotlib.figure.figaspect.html#matplotlib.figure" title="View documentation for matplotlib.pyplot.figure"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
<a href="../../api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot" title="View documentation for matplotlib.pyplot.plot"><span class="n">plt</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="n">date</span><span class="p">,</span> <span class="n">r</span><span class="o">.</span><span class="n">close</span><span class="p">)</span>
<a href="../../api/_as_gen/matplotlib.pyplot.title.html#matplotlib.pyplot.title" title="View documentation for matplotlib.pyplot.title"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s1">'Default date handling can cause overlapping labels'</span><span class="p">)</span>
</pre></div>
</div>
<img alt="../../_images/sphx_glr_common_date_problems_001.png" class="align-center" src="../../_images/sphx_glr_common_date_problems_001.png" />
<p>Another annoyance is that if you hover the mouse over the window and
look in the lower right corner of the matplotlib toolbar
(<a class="reference internal" href="../../users/navigation_toolbar.html#navigation-toolbar"><span class="std std-ref">Interactive navigation</span></a>) at the x and y coordinates, you see that
the x locations are formatted the same way the tick labels are, e.g.,
“Dec 2004”.</p>
<p>What we’d like is for the location in the toolbar to have
a higher degree of precision, e.g., giving us the exact date out mouse is
hovering over. To fix the first problem, we can use
<code class="xref py py-func docutils literal"><span class="pre">matplotlib.figure.Figure.autofmt_xdate()</span></code> and to fix the second
problem we can use the <code class="docutils literal"><span class="pre">ax.fmt_xdata</span></code> attribute which can be set to
any function that takes a scalar and returns a string. matplotlib has
a number of date formatters built in, so we’ll use one of those.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <a href="../../api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="View documentation for matplotlib.pyplot.subplots"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">()</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">date</span><span class="p">,</span> <span class="n">r</span><span class="o">.</span><span class="n">close</span><span class="p">)</span>
<span class="c1"># rotate and align the tick labels so they look better</span>
<span class="n">fig</span><span class="o">.</span><span class="n">autofmt_xdate</span><span class="p">()</span>
<span class="c1"># use a more precise date string for the x axis locations in the</span>
<span class="c1"># toolbar</span>
<span class="n">ax</span><span class="o">.</span><span class="n">fmt_xdata</span> <span class="o">=</span> <a href="../../api/dates_api.html#matplotlib.dates.DateFormatter" title="View documentation for matplotlib.dates.DateFormatter"><span class="n">mdates</span><span class="o">.</span><span class="n">DateFormatter</span></a><span class="p">(</span><span class="s1">'%Y-%m-</span><span class="si">%d</span><span class="s1">'</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'fig.autofmt_xdate fixes the labels'</span><span class="p">)</span>
</pre></div>
</div>
<img alt="../../_images/sphx_glr_common_date_problems_002.png" class="align-center" src="../../_images/sphx_glr_common_date_problems_002.png" />
<p>Now when you hover your mouse over the plotted data, you’ll see date
format strings like 2004-12-01 in the toolbar.</p>
<p><strong>Total running time of the script:</strong> ( 0 minutes 0.061 seconds)</p>
<div class="sphx-glr-footer container">
<div class="sphx-glr-download container">
<a class="reference download internal" href="../../_downloads/common_date_problems.py" download=""><code class="xref download docutils literal"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">common_date_problems.py</span></code></a></div>
<div class="sphx-glr-download container">
<a class="reference download internal" href="../../_downloads/common_date_problems.ipynb" download=""><code class="xref download docutils literal"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">common_date_problems.ipynb</span></code></a></div>
</div>
<p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.readthedocs.io">Generated by Sphinx-Gallery</a></p>
</div>
</div>
</div>
</div>
<div class="clearer"></div>
</div>
<div class="footer">
© Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012 - 2017 The Matplotlib development team.
Last updated on Jul 16, 2017.
Created using <a
href="http://sphinx-doc.org/">Sphinx</a> 1.6.2.
</div>
<script>
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-55954603-1', 'auto');
ga('send', 'pageview');
</script>
</body>
<footer>
<!--Flipcause Integration v3.0// Flipcause Integration Instructions:
Install the following code block once in the website Header (after <head> tag) -->
<style>
.fc-black_overlay{
display:none; position: fixed; z-index:1000001; top: 0%;left: 0%;width: 100%;height: 100%;
background-color: black; filter: alpha(opacity=50); cursor:pointer; opacity:0.5;
}
.fc-white_content {
opacity:1; display:none; margin-top: -320px; margin-left: -485px; width:970px; height:640px;
position:fixed; top:50%; left:50%; border: none;z-index:1000002;overflow: auto;
}
.fc-main-box{
opacity:1; display:none; margin:15px auto 0 auto; width:930px; position:relative; z-index:1000003;
}
.fc-widget_close{
opacity:1; content:url(http://i1338.photobucket.com/albums/o691/WeCause/X_zpse4a7e538.png);
position:absolute; z-index=1000004; right:-16px; top:-16px; display:block; cursor:pointer;
}
.floating_button{
display: block; margin-top: 0px; margin-left: 0px; width:auto ; height: auto;
position:fixed; z-index:999999; overflow: auto;
}
@keyframes backfadesin {
from { opacity:0; }
to {opacity:.5;}
}
@-moz-keyframes backfadesin {
from { opacity:0; }
to {opacity:.5;}
}
@-webkit-keyframes backfadesin {
from { opacity:0; }
to {opacity:.5;}
}
@-o-keyframes backfadesin {
from { opacity:0; }
to {opacity:.5;}
}
@-ms-keyframes backfadesin {
from { opacity:0; }
to {opacity:.5;}
}
@keyframes fadesin {
0%{ opacity:0; }
50%{ opacity:0; }
75% {opacity: 0; transform: translateY(20px);}
100% {opacity: 1; transform: translateY(0);}
}
@-moz-keyframes fadesin {
0%{ opacity:0; }
50%{ opacity:0; }
75% {opacity: 0; -moz-transform: translateY(20px);}
100% {opacity: 1; -moz-transform: translateY(0);}
}
@-webkit-keyframes fadesin {
0%{ opacity:0; }
50%{ opacity:0; }
75% {opacity: 0; -webkit-transform: translateY(20px);}
100% {opacity: 1; -webkit-transform: translateY(0);}
}
@-o-keyframes fadesin {
0%{ opacity:0; }
50%{ opacity:0; }
75% {opacity: 0; -o-transform: translateY(20px);}
100% {opacity: 1; -o-transform: translateY(0);}
}
@-ms-keyframes fadesin {
0%{ opacity:0; }
50%{ opacity:0; }
75% {opacity: 0; -ms-transform: translateY(20px);}
100% {opacity: 1; -ms-transform: translateY(0);}
}
</style>
<script>
function open_window(cause_id) {
var protocol=String(document.location.protocol);
var new_url;
if( /Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent)){
new_url="https://www.flipcause.com/widget/"+cause_id
window.open(new_url);
}
else {
document.getElementById("fc-fade").style.display = "block";
document.getElementById("fc-fade").style.webkitAnimation = "backfadesin 1s";
document.getElementById("fc-fade").style.animation = "backfadesin 1s";
document.getElementById("fc-fade").style.mozAnimation = "backfadesin 1s";
document.getElementById("fc-light").style.display = "block";
document.getElementById("fc-light").style.webkitAnimation = "fadesin 1.5s";
document.getElementById("fc-light").style.animation = "fadesin 1.5s";
document.getElementById("fc-light").style.mozAnimation = "fadesin 1.5s";
document.getElementById("fc-main").style.display = "block";
document.getElementById("fc-main").style.webkitAnimation = "fadesin 1.5s";
document.getElementById("fc-main").style.animation = "fadesin 1.5s";
document.getElementById("fc-main").style.mozAnimation = "fadesin 1.5s";
document.getElementById("fc-close").style.display = "block";
document.getElementById("fc-close").style.webkitAnimation = "fadesin 1.5s";
document.getElementById("fc-close").style.animation = "fadesin 1.5s";
document.getElementById("fc-close").style.mozAnimation = "fadesin 1.5s";
document.getElementById("fc-myFrame").style.display = "block";
document.getElementById("fc-myFrame").style.webkitAnimation = "fadesin 1.5s";
document.getElementById("fc-myFrame").style.animation = "fadesin 1.5s";
document.getElementById("fc-myFrame").style.mozAnimation = "fadesin 1.5s";
document.getElementById("fc-myFrame").src="https://www.flipcause.com/widget/"+cause_id;
}
}
function close_window() {
document.getElementById("fc-fade").style.display="none";
document.getElementById("fc-light").style.display="none";
document.getElementById("fc-main").style.display="none";
document.getElementById("fc-close").style.display="none";
document.getElementById("fc-myFrame").style.display="none";
}
</script>
<div id="fc-fade" class="fc-black_overlay" onclick="close_window()"></div>
<div id="fc-light" class="fc-white_content">
<div id="fc-main" class="fc-main-box">
<div id="fc-close" class="fc-widget_close" onclick="close_window()">
</div><iframe id="fc-myFrame" iframe height="580" width="925" style="border: 0;
border-radius:5px 5px 5px 5px; box-shadow:0 0 8px rgba(0, 0, 0, 0.5);" scrolling="no" src=""></iframe></div>
</div>
<!--END Flipcause Main Integration Code-->
</footer>
</html>