How to Convert a Timezone-Aware Pandas DateTimeIndex to Naive Timestamps Without Changing the Timezone?

How to Convert Pandasonic Timezone-Aware DateTimeIndex to Naive Timestamps While Preserving Timezone

Problem:

How can you convert a timezone-aware pandas Timestamp or DateTimeIndex to a naive one without modifying its timezone?

Original Code:

Using tz = None removes the timezone but also converts the time to UTC:

<code class="python">t.tz = None</code>

Suggested Solution:

• From pandas 0.15.0 onward:

  Use tz_localize(None) to remove the timezone, resulting in naive local time:

  <code class="python">t.tz_localize(None)</code>

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  Or use tz_convert(None) to remove the timezone and convert to UTC:

  <code class="python">t.tz_convert(None)</code>

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• Pre-pandas 0.15.0:

  Manually replace the timezone information with None using a list comprehension. However, this method is less efficient than the built-in methods.

  <code class="python">pd.DatetimeIndex([i.replace(tzinfo=None) for i in t])</code>

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Example:

<code class="python">t = pd.date_range(start="2013-05-18 12:00:00", periods=2, freq='H', tz="Europe/Brussels")

# Using 'tz_localize(None)'
t_naive_local = t.tz_localize(None)

# Using 'tz_convert(None)'
t_naive_utc = t.tz_convert(None)

print(t_naive_local)
print(t_naive_utc)</code>

Output:

DatetimeIndex(['2013-05-18 12:00:00', '2013-05-18 13:00:00'], dtype='datetime64[ns]', freq='H')
DatetimeIndex(['2013-05-18 10:00:00', '2013-05-18 11:00:00'], dtype='datetime64[ns]', freq='H')

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