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  • References
  • Python
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  • Series
×
Series.repeat()
  • References/Python/Pandas/API Reference/Series

Series.repeat(reps, *args, **kwargs)

2025-01-10 15:47:30
Series.dt.dayofyear
  • References/Python/Pandas/API Reference/Series

Series.dt.dayofyear The ordinal day of the year

2025-01-10 15:47:30
Series.str.decode()
  • References/Python/Pandas/API Reference/Series

Series.str.decode(encoding, errors='strict')

2025-01-10 15:47:30
Series.dt.seconds
  • References/Python/Pandas/API Reference/Series

Series.dt.seconds Number of seconds (>= 0 and less than 1 day) for each element.

2025-01-10 15:47:30
Series.dt.nanosecond
  • References/Python/Pandas/API Reference/Series

Series.dt.nanosecond The nanoseconds of the datetime

2025-01-10 15:47:30
Series.cat.as_ordered()
  • References/Python/Pandas/API Reference/Series

Series.cat.as_ordered(*args, **kwargs)

2025-01-10 15:47:30
Series.dt.dayofweek
  • References/Python/Pandas/API Reference/Series

Series.dt.dayofweek The day of the week with Monday=0, Sunday=6

2025-01-10 15:47:30
Series.cat.categories
  • References/Python/Pandas/API Reference/Series

Series.cat.categories The categories of this categorical. Setting assigns new values to each category

2025-01-10 15:47:30
Series.str.isnumeric()
  • References/Python/Pandas/API Reference/Series

Series.str.isnumeric()

2025-01-10 15:47:30
Series.cat.rename_categories()
  • References/Python/Pandas/API Reference/Series

Series.cat.rename_categories(*args, **kwargs)

2025-01-10 15:47:30
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