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The index type for timestamped data is DatetimeIndex. The index type for period data, which shows the fixed interval date data, is PeriodIndex The index type for the Timedelta data, which shows the time between two dates, is TimedeltaIndex.

How to Get the First Entry by Month and Year in Excel =INDEX(array, row_num, column_num) =MATCH(lookup_value, lookup_array, [match_type]) =TEXT(value, format_text) {=INDEX(Amount,MATCH(TRUE,TEXT(Date,"mmyy")=TEXT(E3,"mmyy"),0))} {=INDEX(Amount,MATCH(TRUE,TEXT(Date,"mmyy")=TEXT(E3,"mmyy"),0))}

You simply then need to format them as date with the appropriate format, and your index/match should be fine matching the two date columns. Excel will struggle to compare text (date as text) with numbers (date as an integer). So create a column next to your 'text dates'.

You can convert or cast pandas DatetimeIndex to String by using pd. to_datetime() and DatetimeIndex. strftime() functions. Pandas DatetimeIndex class is an Immutable ndarray which is used to store datetime64 data (internally stores as int64).

The index type for timestamped data is DatetimeIndex. The index type for period data, which shows the fixed interval date data, is PeriodIndex The index type for the Timedelta data, which shows the time between two dates, is TimedeltaIndex.

How to Get the First Entry by Month and Year in Excel =INDEX(array, row_num, column_num) =MATCH(lookup_value, lookup_array, [match_type]) =TEXT(value, format_text) {=INDEX(Amount,MATCH(TRUE,TEXT(Date,"mmyy")=TEXT(E3,"mmyy"),0))} {=INDEX(Amount,MATCH(TRUE,TEXT(Date,"mmyy")=TEXT(E3,"mmyy"),0))}

You simply then need to format them as date with the appropriate format, and your index/match should be fine matching the two date columns. Excel will struggle to compare text (date as text) with numbers (date as an integer). So create a column next to your 'text dates'.

You can convert or cast pandas DatetimeIndex to String by using pd. to_datetime() and DatetimeIndex. strftime() functions. Pandas DatetimeIndex class is an Immutable ndarray which is used to store datetime64 data (internally stores as int64).