How Can I Speed Up Date Parsing with `strptime`?

Can strptime be accelerated?

Parsing a high quantity of dates in the 'YYYY-MM-DD' format can result in significant slowdowns when you need to manipulate them, such as adding or subtracting days. Here's a code snippet that demonstrates the performance bottleneck:

<code class="python">day = datetime.datetime.strptime(endofdaydate, "%Y-%m-%d").date()</code>

Accelerated parsing techniques

To improve the parsing speed, consider the following approaches:

1. Explicit slicing: Instead of using the split method, which requires creating a new list, use slicing to extract the year, month, and day components:

<code class="python">datetime.date(int(a[:4]), int(a[5:7]), int(a[8:10]))  # ~1.06us</code>

2. Direct mapping: Another fast option is to directly map the substrings to integers using the int function:

<code class="python">datetime.date(*map(int, a.split('-')))  # ~1.28us</code>

These techniques provide a significant performance improvement compared to strptime. For instance, the slicing method achieves a factor of 8 acceleration, greatly reducing the processing time for large volumes of dates.

The above is the detailed content of How Can I Speed Up Date Parsing with `strptime`?. For more information, please follow other related articles on the PHP Chinese website!