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added evaluation functions
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dhhagan committed Jul 27, 2019
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2 changes: 1 addition & 1 deletion docs/_build/html/.buildinfo
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: f3ae397168a870e1ada9f3e674709167
config: fe7db746a22c9e619022594e04e38f5e
tags: 645f666f9bcd5a90fca523b33c5a78b7
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# Build a 10-bin OPC
opc = opcsim.OPC(wl=0.658, n_bins=10, dmin=0.3)

# calibrate the OPC using PSl's
opc.calibrate("psl", method='smooth')

# compute the values
cscat, vals = opc.evaluate(d, rh=0.0)

# Plot the histogram response
# ax = opcsim.plots.histplot(opc.evaluate(d), bins=opc.bins)
ax = opcsim.plots.histplot(vals, bins=opc.bins)

# Remove the top and right spines
sns.despine()
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# Build a 10-bin OPC with a dmin of 300 nm
opc = opcsim.OPC(wl=0.658, n_bins=10, dmin=0.3)

# calibrate the OPC using PSl's
opc.calibrate("psl", method='smooth')

# compute the values
cscat, vals = opc.evaluate(d, rh=0.0)

# Plot the histogram response
# ax = opcsim.plots.histplot(opc.evaluate(d), bins=opc.bins)
ax = opcsim.plots.histplot(vals, bins=opc.bins)

# Overlay the distribution
# ax = opcsim.plots.pdfplot(d, ax=ax, fill=True, fill_kws=dict(alpha=.2),
# plot_kws=dict(linewidth=1))
ax = opcsim.plots.pdfplot(d, ax=ax, fill=True, fill_kws=dict(alpha=.2),
plot_kws=dict(linewidth=1))

# Remove the top and right spines
sns.despine()
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var DOCUMENTATION_OPTIONS = {
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<head>
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<head>
<meta http-equiv="X-UA-Compatible" content="IE=Edge" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>Build Your Own Aerosol Distribution &#8212; opcsim 0.3.0+8.g007204b.dirty documentation</title>
<title>Build Your Own Aerosol Distribution &#8212; opcsim 0.3.0+9.g024c67e.dirty documentation</title>
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<head>
<meta http-equiv="X-UA-Compatible" content="IE=Edge" />
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<title>Cumulative Mass Loading for Various Distributions &#8212; opcsim 0.3.0+8.g007204b.dirty documentation</title>
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<head>
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<head>
<meta http-equiv="X-UA-Compatible" content="IE=Edge" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>10-Bin OPC Response with Distribution &#8212; opcsim 0.3.0+8.g007204b.dirty documentation</title>
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<span class="c1"># Build a 10-bin OPC with a dmin of 300 nm</span>
<span class="n">opc</span> <span class="o">=</span> <span class="n">opcsim</span><span class="o">.</span><span class="n">OPC</span><span class="p">(</span><span class="n">wl</span><span class="o">=</span><span class="mf">0.658</span><span class="p">,</span> <span class="n">n_bins</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">dmin</span><span class="o">=</span><span class="mf">0.3</span><span class="p">)</span>

<span class="c1"># calibrate the OPC using PSl&#39;s</span>
<span class="n">opc</span><span class="o">.</span><span class="n">calibrate</span><span class="p">(</span><span class="s2">&quot;psl&quot;</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="s1">&#39;smooth&#39;</span><span class="p">)</span>

<span class="c1"># compute the values</span>
<span class="n">cscat</span><span class="p">,</span> <span class="n">vals</span> <span class="o">=</span> <span class="n">opc</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="n">rh</span><span class="o">=</span><span class="mf">0.0</span><span class="p">)</span>

<span class="c1"># Plot the histogram response</span>
<span class="c1"># ax = opcsim.plots.histplot(opc.evaluate(d), bins=opc.bins)</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">opcsim</span><span class="o">.</span><span class="n">plots</span><span class="o">.</span><span class="n">histplot</span><span class="p">(</span><span class="n">vals</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">opc</span><span class="o">.</span><span class="n">bins</span><span class="p">)</span>

<span class="c1"># Overlay the distribution</span>
<span class="c1"># ax = opcsim.plots.pdfplot(d, ax=ax, fill=True, fill_kws=dict(alpha=.2),</span>
<span class="c1"># plot_kws=dict(linewidth=1))</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">opcsim</span><span class="o">.</span><span class="n">plots</span><span class="o">.</span><span class="n">pdfplot</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">fill</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">fill_kws</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">alpha</span><span class="o">=.</span><span class="mi">2</span><span class="p">),</span>
<span class="n">plot_kws</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>

<span class="c1"># Remove the top and right spines</span>
<span class="n">sns</span><span class="o">.</span><span class="n">despine</span><span class="p">()</span>
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<head>
<meta http-equiv="X-UA-Compatible" content="IE=Edge" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>10-Bin OPC Response in Number and Volume Space &#8212; opcsim 0.3.0+8.g007204b.dirty documentation</title>
<title>10-Bin OPC Response in Number and Volume Space &#8212; opcsim 0.3.0+9.g024c67e.dirty documentation</title>
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>Urban Response of a 10-bin OPC &#8212; opcsim 0.3.0+8.g007204b.dirty documentation</title>
<title>Urban Response of a 10-bin OPC &#8212; opcsim 0.3.0+9.g024c67e.dirty documentation</title>
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<span class="c1"># Build a 10-bin OPC</span>
<span class="n">opc</span> <span class="o">=</span> <span class="n">opcsim</span><span class="o">.</span><span class="n">OPC</span><span class="p">(</span><span class="n">wl</span><span class="o">=</span><span class="mf">0.658</span><span class="p">,</span> <span class="n">n_bins</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">dmin</span><span class="o">=</span><span class="mf">0.3</span><span class="p">)</span>

<span class="c1"># calibrate the OPC using PSl&#39;s</span>
<span class="n">opc</span><span class="o">.</span><span class="n">calibrate</span><span class="p">(</span><span class="s2">&quot;psl&quot;</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="s1">&#39;smooth&#39;</span><span class="p">)</span>

<span class="c1"># compute the values</span>
<span class="n">cscat</span><span class="p">,</span> <span class="n">vals</span> <span class="o">=</span> <span class="n">opc</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="n">rh</span><span class="o">=</span><span class="mf">0.0</span><span class="p">)</span>

<span class="c1"># Plot the histogram response</span>
<span class="c1"># ax = opcsim.plots.histplot(opc.evaluate(d), bins=opc.bins)</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">opcsim</span><span class="o">.</span><span class="n">plots</span><span class="o">.</span><span class="n">histplot</span><span class="p">(</span><span class="n">vals</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">opc</span><span class="o">.</span><span class="n">bins</span><span class="p">)</span>

<span class="c1"># Remove the top and right spines</span>
<span class="n">sns</span><span class="o">.</span><span class="n">despine</span><span class="p">()</span>
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<head>
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<title>Plot the Urban Distribution in N, SA, and V &#8212; opcsim 0.3.0+8.g007204b.dirty documentation</title>
<title>Plot the Urban Distribution in N, SA, and V &#8212; opcsim 0.3.0+9.g024c67e.dirty documentation</title>
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<head>
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<title>Visualize the Urban Aerosol Distribution &#8212; opcsim 0.3.0+8.g007204b.dirty documentation</title>
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