<p dir="auto">Series should be standardized with DataFrame and provide the same structural infos methods, for example .info()</p>
<p dir="auto">xref PR <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="245612381" data-permission-text="Title is private" data-url="https://github.com/pandas-dev/pandas/issues/17077" data-hovercard-type="pull_request" data-hovercard-url="/pandas-dev/pandas/pull/17077/hovercard" href="https://github.com/pandas-dev/pandas/pull/17077">#17077</a></p>
<p dir="auto">Now that a <code class="notranslate">cache</code> keyword has been added to <code class="notranslate">to_datetime</code>, ideally the default should be set to <code class="notranslate">cache='infer'</code> which would inspect the input data to determine whether caching would be a more efficient conversion.</p>
<p dir="auto">From some research (<a href="https://github.com/pandas-dev/pandas/pull/17077#issuecomment-338304458" data-hovercard-type="pull_request" data-hovercard-url="/pandas-dev/pandas/pull/17077/hovercard">here</a> and <a href="https://github.com/pandas-dev/pandas/pull/17077#issuecomment-338116879" data-hovercard-type="pull_request" data-hovercard-url="/pandas-dev/pandas/pull/17077/hovercard">here</a>), date strings, especially ones with timezones offsets, can benefit from conversion with a cache of dates. The rules of thumb of whether to convert with a cache should be based on a combination of input data type, proportion of duplicate values, and number of dates to convert.</p>
<p dir="auto">Additionally, I'd be nice to resolve existing <code class="notranslate">to_datetime</code> performance issues (e.g. <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="254603825" data-permission-text="Title is private" data-url="https://github.com/pandas-dev/pandas/issues/17410" data-hovercard-type="issue" data-hovercard-url="/pandas-dev/pandas/issues/17410/hovercard" href="https://github.com/pandas-dev/pandas/issues/17410">#17410</a>) just so the rules of thumb informing the inference step are not misguided by these issues.</p>