<div dir="ltr">For the 0.15.0 release of pandas (coming 2nd week of oct), we are going to include memory info printing:<div><br></div><div>see here: <a href="https://github.com/pydata/pandas/pull/7619">https://github.com/pydata/pandas/pull/7619</a><br></div><div><br></div><div>This will be controllable by an option display.memory_usage.</div><div><br></div><div>My question to the community should this be by default True, e.g. show the memory usage (this only applies to using <a href="http://df.info">df.info</a>())</div><div>There is really no performance impact here.</div><div><br></div><div>Pls let us know!</div><div><br></div><div>thanks</div><div><br></div><div>Jeff</div><div><br></div><div><pre style="overflow:auto;font-family:Consolas,'Liberation Mono',Menlo,Courier,monospace;font-size:12px;margin-top:0px;margin-bottom:0px;line-height:1.45;padding:16px;border-top-left-radius:3px;border-top-right-radius:3px;border-bottom-right-radius:3px;border-bottom-left-radius:3px;word-wrap:normal;word-break:normal;color:rgb(51,51,51);background-color:rgb(247,247,247)"><span class="" style="font-weight:bold">>>></span> <span class="">df</span><span class="" style="font-weight:bold">.</span><span class="">info</span><span class="">(</span><span class="">memory_usage</span><span class="" style="font-weight:bold">=</span><span class="" style="color:rgb(153,153,153)">True</span><span class="">)</span>
<span class="" style="font-weight:bold"><</span><span class="" style="font-weight:bold">class</span> <span class="" style="color:rgb(166,23,23);background-color:rgb(227,210,210)">'</span><span class="" style="color:rgb(68,85,136);font-weight:bold">pandas</span><span class="" style="font-weight:bold">.</span><span class="">core</span><span class="" style="font-weight:bold">.</span><span class="">frame</span><span class="" style="font-weight:bold">.</span><span class="">DataFrame</span><span class="" style="color:rgb(221,17,68)">'></span>
<span class="">Int64Index</span><span class="">:</span> <span class="" style="color:rgb(0,153,153)">10000000</span> <span class="">entries</span><span class="">,</span> <span class="" style="color:rgb(0,153,153)">0</span> <span class="">to</span> <span class="" style="color:rgb(0,153,153)">9999999</span>
<span class="">Data</span> <span class="">columns</span> <span class="">(</span><span class="">total</span> <span class="" style="color:rgb(0,153,153)">5</span> <span class="">columns</span><span class="">):</span>
<span class="">date</span>        <span class="">datetime64</span><span class="">[</span><span class="">ns</span><span class="">]</span>
<span class="" style="color:rgb(0,134,179)">float</span>       <span class="">float64</span>
<span class="" style="color:rgb(0,134,179)">int</span>         <span class="">int64</span>
<span class="">smallint</span>    <span class="">int16</span>
<span class="">string</span>      <span class="" style="color:rgb(0,134,179)">object</span>
<span class="">dtypes</span><span class="">:</span> <span class="">datetime64</span><span class="">[</span><span class="">ns</span><span class="">](</span><span class="" style="color:rgb(0,153,153)">1</span><span class="">),</span> <span class="">float64</span><span class="">(</span><span class="" style="color:rgb(0,153,153)">1</span><span class="">),</span> <span class="">int16</span><span class="">(</span><span class="" style="color:rgb(0,153,153)">1</span><span class="">),</span> <span class="">int64</span><span class="">(</span><span class="" style="color:rgb(0,153,153)">1</span><span class="">),</span> <span class="" style="color:rgb(0,134,179)">object</span><span class="">(</span><span class="" style="color:rgb(0,153,153)">1</span><span class="">)</span>
<span class="">memory</span> <span class="">usage</span><span class="">:</span> <span class="" style="color:rgb(0,153,153)">324.2</span> <span class="">MB</span></pre></div></div>