Trying to see if GitHub will render the JavaScript Plots correctly.
This commit is contained in:
Walker Waylon Scott
parent
3947d6dd6f
commit
8a6bf57cef
1 changed files with 721 additions and 0 deletions
721
notebooks/Explore Movie Dataset.html
Normal file
721
notebooks/Explore Movie Dataset.html
Normal file
|
|
@ -0,0 +1,721 @@
|
|||
|
||||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h2 id="Explore-Movie-Dataset">Explore Movie Dataset<a class="anchor-link" href="#Explore-Movie-Dataset">¶</a></h2>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell border-box-sizing code_cell rendered">
|
||||
<div class="input">
|
||||
<div class="prompt input_prompt">In [1]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
|
||||
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
|
||||
<span class="kn">import</span> <span class="nn">settings</span>
|
||||
<span class="kn">import</span> <span class="nn">etl</span>
|
||||
|
||||
<span class="o">%</span><span class="k">matplotlib</span> inline
|
||||
|
||||
<span class="o">%</span><span class="k">load_ext</span> watermark
|
||||
<span class="o">%</span><span class="k">watermark</span> -d -t -v -m -p pea,pandas
|
||||
</pre></div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="output_wrapper">
|
||||
<div class="output">
|
||||
|
||||
|
||||
<div class="output_area">
|
||||
|
||||
<div class="prompt"></div>
|
||||
|
||||
|
||||
<div class="output_subarea output_stream output_stdout output_text">
|
||||
<pre>2017-06-26 18:57:49
|
||||
|
||||
CPython 3.6.1
|
||||
IPython 6.1.0
|
||||
|
||||
pea 0.0.7
|
||||
pandas 0.20.2
|
||||
|
||||
compiler : MSC v.1900 64 bit (AMD64)
|
||||
system : Windows
|
||||
release : 7
|
||||
machine : AMD64
|
||||
processor : Intel64 Family 6 Model 42 Stepping 7, GenuineIntel
|
||||
CPU cores : 8
|
||||
interpreter: 64bit
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class="cell border-box-sizing code_cell rendered">
|
||||
<div class="input">
|
||||
<div class="prompt input_prompt">In [2]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">etl</span><span class="o">.</span><span class="n">Data</span><span class="p">()</span>
|
||||
<span class="n">data</span><span class="o">.</span><span class="n">load</span><span class="p">()</span>
|
||||
</pre></div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h2 id="Available-Columns">Available Columns<a class="anchor-link" href="#Available-Columns">¶</a></h2>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell border-box-sizing code_cell rendered">
|
||||
<div class="input">
|
||||
<div class="prompt input_prompt">In [3]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">movie</span><span class="o">.</span><span class="n">columns</span>
|
||||
</pre></div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="output_wrapper">
|
||||
<div class="output">
|
||||
|
||||
|
||||
<div class="output_area">
|
||||
|
||||
<div class="prompt output_prompt">Out[3]:</div>
|
||||
|
||||
|
||||
|
||||
|
||||
<div class="output_text output_subarea output_execute_result">
|
||||
<pre>Index(['color', 'director_name', 'num_critic_for_reviews', 'duration',
|
||||
'director_facebook_likes', 'actor_3_facebook_likes', 'actor_2_name',
|
||||
'actor_1_facebook_likes', 'gross', 'genres', 'actor_1_name',
|
||||
'movie_title', 'num_voted_users', 'cast_total_facebook_likes',
|
||||
'actor_3_name', 'facenumber_in_poster', 'plot_keywords',
|
||||
'movie_imdb_link', 'num_user_for_reviews', 'language', 'country',
|
||||
'content_rating', 'budget', 'title_year', 'actor_2_facebook_likes',
|
||||
'imdb_score', 'aspect_ratio', 'movie_facebook_likes'],
|
||||
dtype='object')</pre>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h2 id="plotting-with-IPlotter">plotting with IPlotter<a class="anchor-link" href="#plotting-with-IPlotter">¶</a></h2><p>This example is using my own branch of IPlotter which builds the dictionary from a pandas DataFrame. Much less verbose, but can be done with the current version on PyPI.</p>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell border-box-sizing code_cell rendered">
|
||||
<div class="input">
|
||||
<div class="prompt input_prompt">In [5]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">iplotter</span> <span class="k">import</span> <span class="n">C3Plotter</span>
|
||||
</pre></div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class="cell border-box-sizing code_cell rendered">
|
||||
<div class="input">
|
||||
<div class="prompt input_prompt">In [6]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">c3</span> <span class="o">=</span> <span class="n">C3Plotter</span><span class="p">()</span>
|
||||
</pre></div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h3 id="Timeseries-of-mean-gross">Timeseries of mean gross<a class="anchor-link" href="#Timeseries-of-mean-gross">¶</a></h3>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell border-box-sizing code_cell rendered">
|
||||
<div class="input">
|
||||
<div class="prompt input_prompt">In [46]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">movie</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">'title_year'</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()[[</span><span class="s1">'gross'</span><span class="p">]]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
|
||||
<span class="n">c3</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">plot_data</span><span class="p">,</span> <span class="n">zoom</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="output_wrapper">
|
||||
<div class="output">
|
||||
|
||||
|
||||
<div class="output_area">
|
||||
|
||||
<div class="prompt output_prompt">Out[46]:</div>
|
||||
|
||||
|
||||
|
||||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||||
<iframe srcdoc="
|
||||
<!-- Load c3.css -->
|
||||
<link href='https://cdnjs.cloudflare.com/ajax/libs/c3/0.4.10/c3.min.css' rel='stylesheet' type='text/css'/>
|
||||
|
||||
<!-- Load d3.js and c3.js -->
|
||||
<script src='http://d3js.org/d3.v3.min.js' charset='utf-8'></script>
|
||||
<script src='http://cdnjs.cloudflare.com/ajax/libs/c3/0.4.10/c3.min.js'></script>
|
||||
|
||||
|
||||
<h1></h1>
|
||||
<div id=chart style='width: 100%; height: 100%'></div>
|
||||
<script>
|
||||
var chart = document.getElementById('chart');
|
||||
var data = {
|
||||
'size': {
|
||||
'height': 300
|
||||
},
|
||||
'data': {
|
||||
'x': 'x',
|
||||
'type': 'line',
|
||||
'axes': {
|
||||
'gross': 'y',
|
||||
'x': 'y'
|
||||
},
|
||||
'columns': [
|
||||
[
|
||||
'gross',
|
||||
0.0,
|
||||
3000000.0,
|
||||
0.0,
|
||||
26435.0,
|
||||
1408975.0,
|
||||
0.0,
|
||||
0.0,
|
||||
2300000.0,
|
||||
0.0,
|
||||
3000000.0,
|
||||
163245.0,
|
||||
184925485.0,
|
||||
0.0,
|
||||
110428945.0,
|
||||
80350000.0,
|
||||
0.0,
|
||||
102797150.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
22025000.0,
|
||||
7927.0,
|
||||
2956000.0,
|
||||
0.0,
|
||||
8000000.0,
|
||||
0.0,
|
||||
36000000.0,
|
||||
20500000.0,
|
||||
4934530.5,
|
||||
0.0,
|
||||
0.0,
|
||||
27200000.0,
|
||||
0.0,
|
||||
25000000.0,
|
||||
32000000.0,
|
||||
43650000.0,
|
||||
11033517.5,
|
||||
42950000.0,
|
||||
38237907.166666664,
|
||||
69310231.8,
|
||||
6100000.0,
|
||||
43100000.0,
|
||||
36757685.5,
|
||||
41711931.0,
|
||||
10450000.0,
|
||||
27247057.75,
|
||||
67501217.5,
|
||||
102919529.0,
|
||||
55052942.85714286,
|
||||
124409732.33333333,
|
||||
71117623.5,
|
||||
106290809.28571428,
|
||||
71542234.6,
|
||||
63579571.428571425,
|
||||
57697266.733333334,
|
||||
41460781.52941176,
|
||||
75037552.1875,
|
||||
70192386.35714285,
|
||||
62939598.73913044,
|
||||
59223134.13333333,
|
||||
44436464.04,
|
||||
40233264.77419355,
|
||||
41190351.833333336,
|
||||
49678453.15151515,
|
||||
78203971.25,
|
||||
53844501.666666664,
|
||||
63665195.14705882,
|
||||
45302091.41304348,
|
||||
59395666.16981132,
|
||||
44909519.98550725,
|
||||
42044174.25263158,
|
||||
44793772.43103448,
|
||||
38377007.96124031,
|
||||
38072176.27710843,
|
||||
42172627.58083832,
|
||||
43255716.92553192,
|
||||
43511151.485,
|
||||
48727746.72327044,
|
||||
40726529.11,
|
||||
41159143.29064039,
|
||||
39237855.9537037,
|
||||
46267501.02234637,
|
||||
44573509.378109455,
|
||||
46207440.2,
|
||||
49908326.01005025,
|
||||
45785836.64397906,
|
||||
62873527.67955801,
|
||||
56158357.77540107,
|
||||
62412136.94610778,
|
||||
66530966.47552448,
|
||||
76924035.8918919
|
||||
],
|
||||
[
|
||||
'x',
|
||||
'1916.0',
|
||||
'1920.0',
|
||||
'1925.0',
|
||||
'1927.0',
|
||||
'1929.0',
|
||||
'1930.0',
|
||||
'1932.0',
|
||||
'1933.0',
|
||||
'1934.0',
|
||||
'1935.0',
|
||||
'1936.0',
|
||||
'1937.0',
|
||||
'1938.0',
|
||||
'1939.0',
|
||||
'1940.0',
|
||||
'1941.0',
|
||||
'1942.0',
|
||||
'1943.0',
|
||||
'1944.0',
|
||||
'1945.0',
|
||||
'1946.0',
|
||||
'1947.0',
|
||||
'1948.0',
|
||||
'1949.0',
|
||||
'1950.0',
|
||||
'1951.0',
|
||||
'1952.0',
|
||||
'1953.0',
|
||||
'1954.0',
|
||||
'1955.0',
|
||||
'1956.0',
|
||||
'1957.0',
|
||||
'1958.0',
|
||||
'1959.0',
|
||||
'1960.0',
|
||||
'1961.0',
|
||||
'1962.0',
|
||||
'1963.0',
|
||||
'1964.0',
|
||||
'1965.0',
|
||||
'1966.0',
|
||||
'1967.0',
|
||||
'1968.0',
|
||||
'1969.0',
|
||||
'1970.0',
|
||||
'1971.0',
|
||||
'1972.0',
|
||||
'1973.0',
|
||||
'1974.0',
|
||||
'1975.0',
|
||||
'1976.0',
|
||||
'1977.0',
|
||||
'1978.0',
|
||||
'1979.0',
|
||||
'1980.0',
|
||||
'1981.0',
|
||||
'1982.0',
|
||||
'1983.0',
|
||||
'1984.0',
|
||||
'1985.0',
|
||||
'1986.0',
|
||||
'1987.0',
|
||||
'1988.0',
|
||||
'1989.0',
|
||||
'1990.0',
|
||||
'1991.0',
|
||||
'1992.0',
|
||||
'1993.0',
|
||||
'1994.0',
|
||||
'1995.0',
|
||||
'1996.0',
|
||||
'1997.0',
|
||||
'1998.0',
|
||||
'1999.0',
|
||||
'2000.0',
|
||||
'2001.0',
|
||||
'2002.0',
|
||||
'2003.0',
|
||||
'2004.0',
|
||||
'2005.0',
|
||||
'2006.0',
|
||||
'2007.0',
|
||||
'2008.0',
|
||||
'2009.0',
|
||||
'2010.0',
|
||||
'2011.0',
|
||||
'2012.0',
|
||||
'2013.0',
|
||||
'2014.0',
|
||||
'2015.0',
|
||||
'2016.0'
|
||||
]
|
||||
]
|
||||
},
|
||||
'subchart': {
|
||||
'show': false
|
||||
},
|
||||
'point': {
|
||||
'show': false
|
||||
},
|
||||
'grid': {
|
||||
'x': {
|
||||
'show': false
|
||||
},
|
||||
'y': {
|
||||
'show': false
|
||||
}
|
||||
},
|
||||
'axis': {
|
||||
'x': {},
|
||||
'y': {},
|
||||
'y2': {}
|
||||
},
|
||||
'zoom': {
|
||||
'enabled': true
|
||||
}
|
||||
};
|
||||
data['bindto']='#chart'
|
||||
c3.generate(data);
|
||||
</script>
|
||||
" src="" width="800" height="420" frameborder="0" sandbox="allow-scripts"></iframe>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class="cell border-box-sizing code_cell rendered">
|
||||
<div class="input">
|
||||
<div class="prompt input_prompt">In [25]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">country_group</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">movie</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'country'</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">'duration'</span><span class="p">]</span>
|
||||
<span class="n">counts</span> <span class="o">=</span> <span class="n">country_group</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
|
||||
<span class="n">countries</span> <span class="o">=</span> <span class="n">country_group</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
|
||||
</pre></div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class="cell border-box-sizing code_cell rendered">
|
||||
<div class="input">
|
||||
<div class="prompt input_prompt">In [47]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">iplotter</span> <span class="k">import</span> <span class="n">PlotlyPlotter</span>
|
||||
<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="k">import</span> <span class="n">HTML</span>
|
||||
|
||||
<span class="n">plotly</span> <span class="o">=</span> <span class="n">PlotlyPlotter</span><span class="p">()</span>
|
||||
|
||||
<span class="n">c3_plotter</span> <span class="o">=</span> <span class="n">C3Plotter</span><span class="p">()</span>
|
||||
|
||||
<span class="n">plotly_chart</span> <span class="o">=</span> <span class="p">[{</span>
|
||||
<span class="s2">"type"</span><span class="p">:</span> <span class="s1">'choropleth'</span><span class="p">,</span>
|
||||
<span class="s2">"locationmode"</span><span class="p">:</span> <span class="s1">'country names'</span><span class="p">,</span>
|
||||
<span class="s2">"locations"</span><span class="p">:</span> <span class="n">countries</span><span class="p">,</span>
|
||||
<span class="s2">"z"</span><span class="p">:</span> <span class="n">counts</span><span class="p">,</span>
|
||||
<span class="s2">"zmin"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span>
|
||||
<span class="s2">"zmax"</span><span class="p">:</span> <span class="nb">max</span><span class="p">(</span><span class="n">counts</span><span class="p">),</span>
|
||||
<span class="s2">"colorscale"</span><span class="p">:</span> <span class="p">[</span>
|
||||
<span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="s1">'rgb(242,240,247)'</span><span class="p">],</span> <span class="p">[</span><span class="mf">0.2</span><span class="p">,</span> <span class="s1">'rgb(218,218,235)'</span><span class="p">],</span>
|
||||
<span class="p">[</span><span class="mf">0.4</span><span class="p">,</span> <span class="s1">'rgb(188,189,220)'</span><span class="p">],</span> <span class="p">[</span><span class="mf">0.6</span><span class="p">,</span> <span class="s1">'rgb(158,154,200)'</span><span class="p">],</span>
|
||||
<span class="p">[</span><span class="mf">0.8</span><span class="p">,</span> <span class="s1">'rgb(117,107,177)'</span><span class="p">],</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="s1">'rgb(84,39,143)'</span><span class="p">]</span>
|
||||
<span class="p">],</span>
|
||||
<span class="s2">"colorbar"</span><span class="p">:</span> <span class="p">{</span>
|
||||
<span class="s2">"title"</span><span class="p">:</span> <span class="s1">'Count'</span><span class="p">,</span>
|
||||
<span class="s2">"thickness"</span><span class="p">:</span> <span class="mi">10</span>
|
||||
<span class="p">},</span>
|
||||
<span class="s2">"marker"</span><span class="p">:</span> <span class="p">{</span>
|
||||
<span class="s2">"line"</span><span class="p">:</span> <span class="p">{</span>
|
||||
<span class="s2">"color"</span><span class="p">:</span> <span class="s1">'rgb(255,255,255)'</span><span class="p">,</span>
|
||||
<span class="s2">"width"</span><span class="p">:</span> <span class="mi">2</span>
|
||||
<span class="p">}</span>
|
||||
<span class="p">}</span>
|
||||
<span class="p">}]</span>
|
||||
|
||||
<span class="n">plotly_layout</span> <span class="o">=</span> <span class="p">{</span>
|
||||
<span class="s2">"title"</span><span class="p">:</span> <span class="s1">'Movie Counts by Country'</span><span class="p">,</span>
|
||||
<span class="s2">"geo"</span><span class="p">:</span> <span class="p">{</span>
|
||||
<span class="s2">"scope"</span><span class="p">:</span> <span class="s1">'country names'</span><span class="p">,</span>
|
||||
<span class="p">}</span>
|
||||
<span class="p">}</span>
|
||||
|
||||
|
||||
|
||||
<span class="n">country_plot</span> <span class="o">=</span> <span class="n">plotly</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">plotly_chart</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h3 id="Movies-by-Country">Movies by Country<a class="anchor-link" href="#Movies-by-Country">¶</a></h3><iframe srcdoc="
|
||||
<!-- Load d3.js and plotly.js -->
|
||||
<script src='https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js'></script>
|
||||
<script src='https://code.jquery.com/jquery-2.1.4.min.js'></script>
|
||||
<script src='https://cdn.plot.ly/plotly-latest.min.js'></script>
|
||||
|
||||
<div id=chart style='width: 100%; height: 100%' ></div>
|
||||
<script>
|
||||
var chart = document.getElementById('chart');
|
||||
Plotly.plot(chart, [
|
||||
{
|
||||
'type': 'choropleth',
|
||||
'locationmode': 'country names',
|
||||
'locations': [
|
||||
'Afghanistan',
|
||||
'Argentina',
|
||||
'Aruba',
|
||||
'Australia',
|
||||
'Bahamas',
|
||||
'Belgium',
|
||||
'Brazil',
|
||||
'Bulgaria',
|
||||
'Cambodia',
|
||||
'Cameroon',
|
||||
'Canada',
|
||||
'Chile',
|
||||
'China',
|
||||
'Colombia',
|
||||
'Czech Republic',
|
||||
'Denmark',
|
||||
'Dominican Republic',
|
||||
'Egypt',
|
||||
'Finland',
|
||||
'France',
|
||||
'Georgia',
|
||||
'Germany',
|
||||
'Greece',
|
||||
'Hong Kong',
|
||||
'Hungary',
|
||||
'Iceland',
|
||||
'India',
|
||||
'Indonesia',
|
||||
'Iran',
|
||||
'Ireland',
|
||||
'Israel',
|
||||
'Italy',
|
||||
'Japan',
|
||||
'Kenya',
|
||||
'Kyrgyzstan',
|
||||
'Libya',
|
||||
'Mexico',
|
||||
'Netherlands',
|
||||
'New Line',
|
||||
'New Zealand',
|
||||
'Nigeria',
|
||||
'Norway',
|
||||
'Official site',
|
||||
'Pakistan',
|
||||
'Panama',
|
||||
'Peru',
|
||||
'Philippines',
|
||||
'Poland',
|
||||
'Romania',
|
||||
'Russia',
|
||||
'Slovakia',
|
||||
'Slovenia',
|
||||
'South Africa',
|
||||
'South Korea',
|
||||
'Soviet Union',
|
||||
'Spain',
|
||||
'Sweden',
|
||||
'Switzerland',
|
||||
'Taiwan',
|
||||
'Thailand',
|
||||
'Turkey',
|
||||
'UK',
|
||||
'USA',
|
||||
'United Arab Emirates',
|
||||
'West Germany'
|
||||
],
|
||||
'z': [
|
||||
1,
|
||||
4,
|
||||
1,
|
||||
54,
|
||||
1,
|
||||
4,
|
||||
8,
|
||||
1,
|
||||
1,
|
||||
1,
|
||||
126,
|
||||
1,
|
||||
30,
|
||||
1,
|
||||
3,
|
||||
11,
|
||||
1,
|
||||
1,
|
||||
1,
|
||||
154,
|
||||
1,
|
||||
97,
|
||||
2,
|
||||
17,
|
||||
2,
|
||||
3,
|
||||
31,
|
||||
1,
|
||||
4,
|
||||
12,
|
||||
4,
|
||||
23,
|
||||
23,
|
||||
1,
|
||||
1,
|
||||
1,
|
||||
17,
|
||||
5,
|
||||
1,
|
||||
15,
|
||||
1,
|
||||
8,
|
||||
1,
|
||||
0,
|
||||
1,
|
||||
1,
|
||||
1,
|
||||
5,
|
||||
4,
|
||||
11,
|
||||
1,
|
||||
1,
|
||||
8,
|
||||
14,
|
||||
1,
|
||||
33,
|
||||
6,
|
||||
3,
|
||||
2,
|
||||
5,
|
||||
1,
|
||||
445,
|
||||
3801,
|
||||
1,
|
||||
3
|
||||
],
|
||||
'zmin': 0,
|
||||
'zmax': 3801,
|
||||
'colorscale': [
|
||||
[
|
||||
0,
|
||||
'rgb(242,240,247)'
|
||||
],
|
||||
[
|
||||
0.2,
|
||||
'rgb(218,218,235)'
|
||||
],
|
||||
[
|
||||
0.4,
|
||||
'rgb(188,189,220)'
|
||||
],
|
||||
[
|
||||
0.6,
|
||||
'rgb(158,154,200)'
|
||||
],
|
||||
[
|
||||
0.8,
|
||||
'rgb(117,107,177)'
|
||||
],
|
||||
[
|
||||
1,
|
||||
'rgb(84,39,143)'
|
||||
]
|
||||
],
|
||||
'colorbar': {
|
||||
'title': 'Count',
|
||||
'thickness': 10
|
||||
},
|
||||
'marker': {
|
||||
'line': {
|
||||
'color': 'rgb(255,255,255)',
|
||||
'width': 2
|
||||
}
|
||||
}
|
||||
}
|
||||
], null);
|
||||
</script>
|
||||
" src="" width="800" height="420" frameborder="0" sandbox="allow-scripts"></iframe>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell border-box-sizing code_cell rendered">
|
||||
<div class="input">
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class=" highlight hl-ipython3"><pre><span></span>
|
||||
</pre></div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
|
||||
Loading…
Add table
Add a link
Reference in a new issue