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<div class="section" id="finance">
<h1>finance<a class="headerlink" href="#finance" title="Permalink to this headline">¶</a></h1>
<div class="section" id="module-matplotlib.finance">
<span id="matplotlib-finance"></span><h2><a class="reference internal" href="#module-matplotlib.finance" title="matplotlib.finance"><code class="xref py py-mod docutils literal"><span class="pre">matplotlib.finance</span></code></a><a class="headerlink" href="#module-matplotlib.finance" title="Permalink to this headline">¶</a></h2>
<p>A collection of functions for collecting, analyzing and plotting
financial data.</p>
<p>This module is deprecated in 2.0 and has been moved to a module called
<code class="xref py py-obj docutils literal"><span class="pre">mpl_finance</span></code>.</p>
<dl class="function">
<dt id="matplotlib.finance.candlestick2_ochl">
<code class="descclassname">matplotlib.finance.</code><code class="descname">candlestick2_ochl</code><span class="sig-paren">(</span><em>ax</em>, <em>opens</em>, <em>closes</em>, <em>highs</em>, <em>lows</em>, <em>width=4</em>, <em>colorup='k'</em>, <em>colordown='r'</em>, <em>alpha=0.75</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.candlestick2_ochl" title="Permalink to this definition">¶</a></dt>
<dd><p>Represent the open, close as a bar line and high low range as a
vertical line.</p>
<p>Preserves the original argument order.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>opens</strong> : sequence</p>
<blockquote>
<div><p>sequence of opening values</p>
</div></blockquote>
<p><strong>closes</strong> : sequence</p>
<blockquote>
<div><p>sequence of closing values</p>
</div></blockquote>
<p><strong>highs</strong> : sequence</p>
<blockquote>
<div><p>sequence of high values</p>
</div></blockquote>
<p><strong>lows</strong> : sequence</p>
<blockquote>
<div><p>sequence of low values</p>
</div></blockquote>
<p><strong>ticksize</strong> : int</p>
<blockquote>
<div><p>size of open and close ticks in points</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close < open</p>
</div></blockquote>
<p><strong>alpha</strong> : float</p>
<blockquote>
<div><p>bar transparency</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : tuple</p>
<blockquote class="last">
<div><p>(lineCollection, barCollection)</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.candlestick2_ohlc">
<code class="descclassname">matplotlib.finance.</code><code class="descname">candlestick2_ohlc</code><span class="sig-paren">(</span><em>ax</em>, <em>opens</em>, <em>highs</em>, <em>lows</em>, <em>closes</em>, <em>width=4</em>, <em>colorup='k'</em>, <em>colordown='r'</em>, <em>alpha=0.75</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.candlestick2_ohlc" title="Permalink to this definition">¶</a></dt>
<dd><p>Represent the open, close as a bar line and high low range as a
vertical line.</p>
<p>NOTE: this code assumes if any value open, low, high, close is
missing they all are missing</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>opens</strong> : sequence</p>
<blockquote>
<div><p>sequence of opening values</p>
</div></blockquote>
<p><strong>highs</strong> : sequence</p>
<blockquote>
<div><p>sequence of high values</p>
</div></blockquote>
<p><strong>lows</strong> : sequence</p>
<blockquote>
<div><p>sequence of low values</p>
</div></blockquote>
<p><strong>closes</strong> : sequence</p>
<blockquote>
<div><p>sequence of closing values</p>
</div></blockquote>
<p><strong>ticksize</strong> : int</p>
<blockquote>
<div><p>size of open and close ticks in points</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close < open</p>
</div></blockquote>
<p><strong>alpha</strong> : float</p>
<blockquote>
<div><p>bar transparency</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : tuple</p>
<blockquote class="last">
<div><p>(lineCollection, barCollection)</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.candlestick_ochl">
<code class="descclassname">matplotlib.finance.</code><code class="descname">candlestick_ochl</code><span class="sig-paren">(</span><em>ax</em>, <em>quotes</em>, <em>width=0.2</em>, <em>colorup='k'</em>, <em>colordown='r'</em>, <em>alpha=1.0</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.candlestick_ochl" title="Permalink to this definition">¶</a></dt>
<dd><p>Plot the time, open, close, high, low as a vertical line ranging
from low to high. Use a rectangular bar to represent the
open-close span. If close >= open, use colorup to color the bar,
otherwise use colordown</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>quotes</strong> : sequence of (time, open, close, high, low, ...) sequences</p>
<blockquote>
<div><p>As long as the first 5 elements are these values,
the record can be as long as you want (e.g., it may store volume).</p>
<p>time must be in float days format - see date2num</p>
</div></blockquote>
<p><strong>width</strong> : float</p>
<blockquote>
<div><p>fraction of a day for the rectangle width</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the rectangle where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the rectangle where close < open</p>
</div></blockquote>
<p><strong>alpha</strong> : float</p>
<blockquote>
<div><p>the rectangle alpha level</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : tuple</p>
<blockquote class="last">
<div><p>returns (lines, patches) where lines is a list of lines
added and patches is a list of the rectangle patches added</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.candlestick_ohlc">
<code class="descclassname">matplotlib.finance.</code><code class="descname">candlestick_ohlc</code><span class="sig-paren">(</span><em>ax</em>, <em>quotes</em>, <em>width=0.2</em>, <em>colorup='k'</em>, <em>colordown='r'</em>, <em>alpha=1.0</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.candlestick_ohlc" title="Permalink to this definition">¶</a></dt>
<dd><p>Plot the time, open, high, low, close as a vertical line ranging
from low to high. Use a rectangular bar to represent the
open-close span. If close >= open, use colorup to color the bar,
otherwise use colordown</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>quotes</strong> : sequence of (time, open, high, low, close, ...) sequences</p>
<blockquote>
<div><p>As long as the first 5 elements are these values,
the record can be as long as you want (e.g., it may store volume).</p>
<p>time must be in float days format - see date2num</p>
</div></blockquote>
<p><strong>width</strong> : float</p>
<blockquote>
<div><p>fraction of a day for the rectangle width</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the rectangle where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the rectangle where close < open</p>
</div></blockquote>
<p><strong>alpha</strong> : float</p>
<blockquote>
<div><p>the rectangle alpha level</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : tuple</p>
<blockquote class="last">
<div><p>returns (lines, patches) where lines is a list of lines
added and patches is a list of the rectangle patches added</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.fetch_historical_yahoo">
<code class="descclassname">matplotlib.finance.</code><code class="descname">fetch_historical_yahoo</code><span class="sig-paren">(</span><em>ticker</em>, <em>date1</em>, <em>date2</em>, <em>cachename=None</em>, <em>dividends=False</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.fetch_historical_yahoo" title="Permalink to this definition">¶</a></dt>
<dd><p>Fetch historical data for ticker between date1 and date2. date1 and
date2 are date or datetime instances, or (year, month, day) sequences.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ticker</strong> : str</p>
<blockquote>
<div><p>ticker</p>
</div></blockquote>
<p><strong>date1</strong> : sequence of form (year, month, day), <code class="xref py py-obj docutils literal"><span class="pre">datetime</span></code>, or <code class="xref py py-obj docutils literal"><span class="pre">date</span></code></p>
<blockquote>
<div><p>start date</p>
</div></blockquote>
<p><strong>date2</strong> : sequence of form (year, month, day), <code class="xref py py-obj docutils literal"><span class="pre">datetime</span></code>, or <code class="xref py py-obj docutils literal"><span class="pre">date</span></code></p>
<blockquote>
<div><p>end date</p>
</div></blockquote>
<p><strong>cachename</strong> : str</p>
<blockquote>
<div><p>cachename is the name of the local file cache. If None, will
default to the md5 hash or the url (which incorporates the ticker
and date range)</p>
</div></blockquote>
<p><strong>dividends</strong> : bool</p>
<blockquote>
<div><p>set dividends=True to return dividends instead of price data. With
this option set, parse functions will not work</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>file_handle</strong> : file handle</p>
<blockquote class="last">
<div><p>a file handle is returned</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Examples</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">fh</span> <span class="o">=</span> <span class="n">fetch_historical_yahoo</span><span class="p">(</span><span class="s1">'^GSPC'</span><span class="p">,</span> <span class="p">(</span><span class="mi">2000</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="p">(</span><span class="mi">2001</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">31</span><span class="p">))</span>
</pre></div>
</div>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.index_bar">
<code class="descclassname">matplotlib.finance.</code><code class="descname">index_bar</code><span class="sig-paren">(</span><em>ax</em>, <em>vals</em>, <em>facecolor='b'</em>, <em>edgecolor='l'</em>, <em>width=4</em>, <em>alpha=1.0</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.index_bar" title="Permalink to this definition">¶</a></dt>
<dd><p>Add a bar collection graph with height vals (-1 is missing).</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>vals</strong> : sequence</p>
<blockquote>
<div><p>a sequence of values</p>
</div></blockquote>
<p><strong>facecolor</strong> : color</p>
<blockquote>
<div><p>the color of the bar face</p>
</div></blockquote>
<p><strong>edgecolor</strong> : color</p>
<blockquote>
<div><p>the color of the bar edges</p>
</div></blockquote>
<p><strong>width</strong> : int</p>
<blockquote>
<div><p>the bar width in points</p>
</div></blockquote>
<p><strong>alpha</strong> : float</p>
<blockquote>
<div><p>bar transparency</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : <code class="xref py py-obj docutils literal"><span class="pre">barCollection</span></code></p>
<blockquote class="last">
<div><p>The <code class="xref py py-obj docutils literal"><span class="pre">barrCollection</span></code> added to the axes</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.md5">
<code class="descclassname">matplotlib.finance.</code><code class="descname">md5</code><span class="sig-paren">(</span><em>x</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.md5" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="matplotlib.finance.parse_yahoo_historical_ochl">
<code class="descclassname">matplotlib.finance.</code><code class="descname">parse_yahoo_historical_ochl</code><span class="sig-paren">(</span><em>fh</em>, <em>adjusted=True</em>, <em>asobject=False</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.parse_yahoo_historical_ochl" title="Permalink to this definition">¶</a></dt>
<dd><p>Parse the historical data in file handle fh from yahoo finance.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>adjusted</strong> : bool</p>
<blockquote>
<div><p>If True (default) replace open, close, high, low prices with
their adjusted values. The adjustment is by a scale factor, S =
adjusted_close/close. Adjusted prices are actual prices
multiplied by S.</p>
<p>Volume is not adjusted as it is already backward split adjusted
by Yahoo. If you want to compute dollars traded, multiply volume
by the adjusted close, regardless of whether you choose adjusted
= True|False.</p>
</div></blockquote>
<p><strong>asobject</strong> : bool or None</p>
<blockquote class="last">
<div><p>If False (default for compatibility with earlier versions)
return a list of tuples containing</p>
<blockquote>
<div><p>d, open, close, high, low, volume</p>
</div></blockquote>
<p>If None (preferred alternative to False), return
a 2-D ndarray corresponding to the list of tuples.</p>
<p>Otherwise return a numpy recarray with</p>
<blockquote>
<div><p>date, year, month, day, d, open, close, high, low,
volume, adjusted_close</p>
</div></blockquote>
<p>where d is a floating poing representation of date,
as returned by date2num, and date is a python standard
library datetime.date instance.</p>
<p>The name of this kwarg is a historical artifact. Formerly,
True returned a cbook Bunch
holding 1-D ndarrays. The behavior of a numpy recarray is
very similar to the Bunch.</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.parse_yahoo_historical_ohlc">
<code class="descclassname">matplotlib.finance.</code><code class="descname">parse_yahoo_historical_ohlc</code><span class="sig-paren">(</span><em>fh</em>, <em>adjusted=True</em>, <em>asobject=False</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.parse_yahoo_historical_ohlc" title="Permalink to this definition">¶</a></dt>
<dd><p>Parse the historical data in file handle fh from yahoo finance.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>adjusted</strong> : bool</p>
<blockquote>
<div><p>If True (default) replace open, high, low, close prices with
their adjusted values. The adjustment is by a scale factor, S =
adjusted_close/close. Adjusted prices are actual prices
multiplied by S.</p>
<p>Volume is not adjusted as it is already backward split adjusted
by Yahoo. If you want to compute dollars traded, multiply volume
by the adjusted close, regardless of whether you choose adjusted
= True|False.</p>
</div></blockquote>
<p><strong>asobject</strong> : bool or None</p>
<blockquote class="last">
<div><p>If False (default for compatibility with earlier versions)
return a list of tuples containing</p>
<blockquote>
<div><p>d, open, high, low, close, volume</p>
</div></blockquote>
<p>If None (preferred alternative to False), return
a 2-D ndarray corresponding to the list of tuples.</p>
<p>Otherwise return a numpy recarray with</p>
<blockquote>
<div><p>date, year, month, day, d, open, high, low, close,
volume, adjusted_close</p>
</div></blockquote>
<p>where d is a floating poing representation of date,
as returned by date2num, and date is a python standard
library datetime.date instance.</p>
<p>The name of this kwarg is a historical artifact. Formerly,
True returned a cbook Bunch
holding 1-D ndarrays. The behavior of a numpy recarray is
very similar to the Bunch.</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.plot_day_summary2_ochl">
<code class="descclassname">matplotlib.finance.</code><code class="descname">plot_day_summary2_ochl</code><span class="sig-paren">(</span><em>ax</em>, <em>opens</em>, <em>closes</em>, <em>highs</em>, <em>lows</em>, <em>ticksize=4</em>, <em>colorup='k'</em>, <em>colordown='r'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.plot_day_summary2_ochl" title="Permalink to this definition">¶</a></dt>
<dd><p>Represent the time, open, close, high, low, as a vertical line
ranging from low to high. The left tick is the open and the right
tick is the close.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>opens</strong> : sequence</p>
<blockquote>
<div><p>sequence of opening values</p>
</div></blockquote>
<p><strong>closes</strong> : sequence</p>
<blockquote>
<div><p>sequence of closing values</p>
</div></blockquote>
<p><strong>highs</strong> : sequence</p>
<blockquote>
<div><p>sequence of high values</p>
</div></blockquote>
<p><strong>lows</strong> : sequence</p>
<blockquote>
<div><p>sequence of low values</p>
</div></blockquote>
<p><strong>ticksize</strong> : int</p>
<blockquote>
<div><p>size of open and close ticks in points</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close < open</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : list</p>
<blockquote class="last">
<div><p>a list of lines added to the axes</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.plot_day_summary2_ohlc">
<code class="descclassname">matplotlib.finance.</code><code class="descname">plot_day_summary2_ohlc</code><span class="sig-paren">(</span><em>ax</em>, <em>opens</em>, <em>highs</em>, <em>lows</em>, <em>closes</em>, <em>ticksize=4</em>, <em>colorup='k'</em>, <em>colordown='r'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.plot_day_summary2_ohlc" title="Permalink to this definition">¶</a></dt>
<dd><p>Represent the time, open, high, low, close as a vertical line
ranging from low to high. The left tick is the open and the right
tick is the close.
<em>opens</em>, <em>highs</em>, <em>lows</em> and <em>closes</em> must have the same length.
NOTE: this code assumes if any value open, high, low, close is
missing (<em>-1</em>) they all are missing</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>opens</strong> : sequence</p>
<blockquote>
<div><p>sequence of opening values</p>
</div></blockquote>
<p><strong>highs</strong> : sequence</p>
<blockquote>
<div><p>sequence of high values</p>
</div></blockquote>
<p><strong>lows</strong> : sequence</p>
<blockquote>
<div><p>sequence of low values</p>
</div></blockquote>
<p><strong>closes</strong> : sequence</p>
<blockquote>
<div><p>sequence of closing values</p>
</div></blockquote>
<p><strong>ticksize</strong> : int</p>
<blockquote>
<div><p>size of open and close ticks in points</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close < open</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : list</p>
<blockquote class="last">
<div><p>a list of lines added to the axes</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.plot_day_summary_oclh">
<code class="descclassname">matplotlib.finance.</code><code class="descname">plot_day_summary_oclh</code><span class="sig-paren">(</span><em>ax</em>, <em>quotes</em>, <em>ticksize=3</em>, <em>colorup='k'</em>, <em>colordown='r'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.plot_day_summary_oclh" title="Permalink to this definition">¶</a></dt>
<dd><p>Plots day summary</p>
<blockquote>
<div>Represent the time, open, close, high, low as a vertical line
ranging from low to high. The left tick is the open and the right
tick is the close.</div></blockquote>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code> instance to plot to</p>
</div></blockquote>
<p><strong>quotes</strong> : sequence of (time, open, close, high, low, ...) sequences</p>
<blockquote>
<div><p>data to plot. time must be in float date format - see date2num</p>
</div></blockquote>
<p><strong>ticksize</strong> : int</p>
<blockquote>
<div><p>open/close tick marker in points</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close < open</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>lines</strong> : list</p>
<blockquote class="last">
<div><p>list of tuples of the lines added (one tuple per quote)</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.plot_day_summary_ohlc">
<code class="descclassname">matplotlib.finance.</code><code class="descname">plot_day_summary_ohlc</code><span class="sig-paren">(</span><em>ax</em>, <em>quotes</em>, <em>ticksize=3</em>, <em>colorup='k'</em>, <em>colordown='r'</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.plot_day_summary_ohlc" title="Permalink to this definition">¶</a></dt>
<dd><p>Plots day summary</p>
<blockquote>
<div>Represent the time, open, high, low, close as a vertical line
ranging from low to high. The left tick is the open and the right
tick is the close.</div></blockquote>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code> instance to plot to</p>
</div></blockquote>
<p><strong>quotes</strong> : sequence of (time, open, high, low, close, ...) sequences</p>
<blockquote>
<div><p>data to plot. time must be in float date format - see date2num</p>
</div></blockquote>
<p><strong>ticksize</strong> : int</p>
<blockquote>
<div><p>open/close tick marker in points</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close < open</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>lines</strong> : list</p>
<blockquote class="last">
<div><p>list of tuples of the lines added (one tuple per quote)</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.quotes_historical_yahoo_ochl">
<code class="descclassname">matplotlib.finance.</code><code class="descname">quotes_historical_yahoo_ochl</code><span class="sig-paren">(</span><em>ticker</em>, <em>date1</em>, <em>date2</em>, <em>asobject=False</em>, <em>adjusted=True</em>, <em>cachename=None</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.quotes_historical_yahoo_ochl" title="Permalink to this definition">¶</a></dt>
<dd><p>Get historical data for ticker between date1 and date2.</p>
<p>See <code class="xref py py-func docutils literal"><span class="pre">parse_yahoo_historical()</span></code> for explanation of output formats
and the <em>asobject</em> and <em>adjusted</em> kwargs.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ticker</strong> : str</p>
<blockquote>
<div><p>stock ticker</p>
</div></blockquote>
<p><strong>date1</strong> : sequence of form (year, month, day), <code class="xref py py-obj docutils literal"><span class="pre">datetime</span></code>, or <code class="xref py py-obj docutils literal"><span class="pre">date</span></code></p>
<blockquote>
<div><p>start date</p>
</div></blockquote>
<p><strong>date2</strong> : sequence of form (year, month, day), <code class="xref py py-obj docutils literal"><span class="pre">datetime</span></code>, or <code class="xref py py-obj docutils literal"><span class="pre">date</span></code></p>
<blockquote>
<div><p>end date</p>
</div></blockquote>
<p><strong>cachename</strong> : str or <code class="xref py py-obj docutils literal"><span class="pre">None</span></code></p>
<blockquote class="last">
<div><p>is the name of the local file cache. If None, will
default to the md5 hash or the url (which incorporates the ticker
and date range)</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Examples</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">sp</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">quotes_historical_yahoo_ochl</span><span class="p">(</span><span class="s1">'^GSPC'</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span>
<span class="go"> asobject=True, adjusted=True)</span>
<span class="gp">>>> </span><span class="n">returns</span> <span class="o">=</span> <span class="p">(</span><span class="n">sp</span><span class="o">.</span><span class="n">open</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">sp</span><span class="o">.</span><span class="n">open</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span><span class="o">/</span><span class="n">sp</span><span class="o">.</span><span class="n">open</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span>
<span class="gp">>>> </span><span class="p">[</span><span class="n">n</span><span class="p">,</span><span class="n">bins</span><span class="p">,</span><span class="n">patches</span><span class="p">]</span> <span class="o">=</span> <span class="n">hist</span><span class="p">(</span><span class="n">returns</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">mu</span> <span class="o">=</span> <span class="n">mean</span><span class="p">(</span><span class="n">returns</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">sigma</span> <span class="o">=</span> <span class="n">std</span><span class="p">(</span><span class="n">returns</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">x</span> <span class="o">=</span> <span class="n">normpdf</span><span class="p">(</span><span class="n">bins</span><span class="p">,</span> <span class="n">mu</span><span class="p">,</span> <span class="n">sigma</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">plot</span><span class="p">(</span><span class="n">bins</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'red'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.quotes_historical_yahoo_ohlc">
<code class="descclassname">matplotlib.finance.</code><code class="descname">quotes_historical_yahoo_ohlc</code><span class="sig-paren">(</span><em>ticker</em>, <em>date1</em>, <em>date2</em>, <em>asobject=False</em>, <em>adjusted=True</em>, <em>cachename=None</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.quotes_historical_yahoo_ohlc" title="Permalink to this definition">¶</a></dt>
<dd><p>Get historical data for ticker between date1 and date2.</p>
<p>See <code class="xref py py-func docutils literal"><span class="pre">parse_yahoo_historical()</span></code> for explanation of output formats
and the <em>asobject</em> and <em>adjusted</em> kwargs.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ticker</strong> : str</p>
<blockquote>
<div><p>stock ticker</p>
</div></blockquote>
<p><strong>date1</strong> : sequence of form (year, month, day), <code class="xref py py-obj docutils literal"><span class="pre">datetime</span></code>, or <code class="xref py py-obj docutils literal"><span class="pre">date</span></code></p>
<blockquote>
<div><p>start date</p>
</div></blockquote>
<p><strong>date2</strong> : sequence of form (year, month, day), <code class="xref py py-obj docutils literal"><span class="pre">datetime</span></code>, or <code class="xref py py-obj docutils literal"><span class="pre">date</span></code></p>
<blockquote>
<div><p>end date</p>
</div></blockquote>
<p><strong>cachename</strong> : str or <code class="xref py py-obj docutils literal"><span class="pre">None</span></code></p>
<blockquote class="last">
<div><p>is the name of the local file cache. If None, will
default to the md5 hash or the url (which incorporates the ticker
and date range)</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Examples</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">sp</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">quotes_historical_yahoo_ohlc</span><span class="p">(</span><span class="s1">'^GSPC'</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span>
<span class="go"> asobject=True, adjusted=True)</span>
<span class="gp">>>> </span><span class="n">returns</span> <span class="o">=</span> <span class="p">(</span><span class="n">sp</span><span class="o">.</span><span class="n">open</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">sp</span><span class="o">.</span><span class="n">open</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span><span class="o">/</span><span class="n">sp</span><span class="o">.</span><span class="n">open</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span>
<span class="gp">>>> </span><span class="p">[</span><span class="n">n</span><span class="p">,</span><span class="n">bins</span><span class="p">,</span><span class="n">patches</span><span class="p">]</span> <span class="o">=</span> <span class="n">hist</span><span class="p">(</span><span class="n">returns</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">mu</span> <span class="o">=</span> <span class="n">mean</span><span class="p">(</span><span class="n">returns</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">sigma</span> <span class="o">=</span> <span class="n">std</span><span class="p">(</span><span class="n">returns</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">x</span> <span class="o">=</span> <span class="n">normpdf</span><span class="p">(</span><span class="n">bins</span><span class="p">,</span> <span class="n">mu</span><span class="p">,</span> <span class="n">sigma</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">plot</span><span class="p">(</span><span class="n">bins</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'red'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.volume_overlay">
<code class="descclassname">matplotlib.finance.</code><code class="descname">volume_overlay</code><span class="sig-paren">(</span><em>ax</em>, <em>opens</em>, <em>closes</em>, <em>volumes</em>, <em>colorup='k'</em>, <em>colordown='r'</em>, <em>width=4</em>, <em>alpha=1.0</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.volume_overlay" title="Permalink to this definition">¶</a></dt>
<dd><p>Add a volume overlay to the current axes. The opens and closes
are used to determine the color of the bar. -1 is missing. If a
value is missing on one it must be missing on all</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>opens</strong> : sequence</p>
<blockquote>
<div><p>a sequence of opens</p>
</div></blockquote>
<p><strong>closes</strong> : sequence</p>
<blockquote>
<div><p>a sequence of closes</p>
</div></blockquote>
<p><strong>volumes</strong> : sequence</p>
<blockquote>
<div><p>a sequence of volumes</p>
</div></blockquote>
<p><strong>width</strong> : int</p>
<blockquote>
<div><p>the bar width in points</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close < open</p>
</div></blockquote>
<p><strong>alpha</strong> : float</p>
<blockquote>
<div><p>bar transparency</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : <code class="xref py py-obj docutils literal"><span class="pre">barCollection</span></code></p>
<blockquote class="last">
<div><p>The <code class="xref py py-obj docutils literal"><span class="pre">barrCollection</span></code> added to the axes</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.volume_overlay2">
<code class="descclassname">matplotlib.finance.</code><code class="descname">volume_overlay2</code><span class="sig-paren">(</span><em>ax</em>, <em>closes</em>, <em>volumes</em>, <em>colorup='k'</em>, <em>colordown='r'</em>, <em>width=4</em>, <em>alpha=1.0</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.volume_overlay2" title="Permalink to this definition">¶</a></dt>
<dd><p>Add a volume overlay to the current axes. The closes are used to
determine the color of the bar. -1 is missing. If a value is
missing on one it must be missing on all</p>
<p>nb: first point is not displayed - it is used only for choosing the
right color</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>closes</strong> : sequence</p>
<blockquote>
<div><p>a sequence of closes</p>
</div></blockquote>
<p><strong>volumes</strong> : sequence</p>
<blockquote>
<div><p>a sequence of volumes</p>
</div></blockquote>
<p><strong>width</strong> : int</p>
<blockquote>
<div><p>the bar width in points</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close >= open</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close < open</p>
</div></blockquote>
<p><strong>alpha</strong> : float</p>
<blockquote>
<div><p>bar transparency</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : <code class="xref py py-obj docutils literal"><span class="pre">barCollection</span></code></p>
<blockquote class="last">
<div><p>The <code class="xref py py-obj docutils literal"><span class="pre">barrCollection</span></code> added to the axes</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.finance.volume_overlay3">
<code class="descclassname">matplotlib.finance.</code><code class="descname">volume_overlay3</code><span class="sig-paren">(</span><em>ax</em>, <em>quotes</em>, <em>colorup='k'</em>, <em>colordown='r'</em>, <em>width=4</em>, <em>alpha=1.0</em><span class="sig-paren">)</span><a class="headerlink" href="#matplotlib.finance.volume_overlay3" title="Permalink to this definition">¶</a></dt>
<dd><p>Add a volume overlay to the current axes. quotes is a list of (d,
open, high, low, close, volume) and close-open is used to
determine the color of the bar</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>ax</strong> : <code class="xref py py-obj docutils literal"><span class="pre">Axes</span></code></p>
<blockquote>
<div><p>an Axes instance to plot to</p>
</div></blockquote>
<p><strong>quotes</strong> : sequence of (time, open, high, low, close, ...) sequences</p>
<blockquote>
<div><p>data to plot. time must be in float date format - see date2num</p>
</div></blockquote>
<p><strong>width</strong> : int</p>
<blockquote>
<div><p>the bar width in points</p>
</div></blockquote>
<p><strong>colorup</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close1 >= close0</p>
</div></blockquote>
<p><strong>colordown</strong> : color</p>
<blockquote>
<div><p>the color of the lines where close1 < close0</p>
</div></blockquote>
<p><strong>alpha</strong> : float</p>
<blockquote>
<div><p>bar transparency</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>ret</strong> : <code class="xref py py-obj docutils literal"><span class="pre">barCollection</span></code></p>
<blockquote class="last">
<div><p>The <code class="xref py py-obj docutils literal"><span class="pre">barrCollection</span></code> added to the axes</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>