python - Convert '%m/%d/%Y' string index into pandas datetime index -

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my index datetime string format '%m/%d/%y' ('09/26/2007')

when try convert index datetime index using pd.to_datetime function pd.to_datetime(df.index), got error message outofboundsdatetime: out of bounds nanosecond timestamp: 1-01-01 00:00:00

it looks pandas can't detect right string format, how can convert index datetime index?

thanks

the of error message, appears may have string '1/1/0001' in index. example,

df = pd.dataframe([1,2], index=['09/26/2007', '1/1/0001']) pd.to_datetime(df.index)

raises 

outofboundsdatetime: out of bounds nanosecond timestamp: 1-01-01 00:00:00

this error arises because datetimeindex uses array of numpy datetime64[ns]s can not represent date 0001-01-01. datetime64[ns] dtype can represent dates in range [1678 ad, 2262 ad].

there pandas github issue discussing limitation.

for now, recommended solution use periodindex instead of datetimeindex:

df = pd.dataframe([1,2], index=['09/26/2007', '1/1/0001']) df.index = pd.periodindex(df.index, freq='d')

yields

            0 2007-09-26  1 1-01-01     2

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