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pd.Series.str.repeat
pd.Series.str.replace
pd.Series.str.restrip
pd.Series.str.rfind
pd.Series.str.rjist
pd.Series.str.slice
pd.Series.str.slice_replace
pd.Series.str.split
pd.Series.str.startswith
pd.Series.str.strip
pd.Series.str.swapcase
pd.Series.str.title
pd.Series.str.upper
pd.Series.str.zfill
pd.Series.sub
pd.Series.sum
pd.Series.T
pd.Series.tail
pd.Series.take
pd.Series.to_csv
pd.Series.to_dict
pd.Series.to_frame
pd.Series.to_numpy
pd.Series.tolist
pd.Series.truediv
pd.Series.unique
pd.Series.value_counts
pd.Series.values
pd.Series.var
pd.Series.where
Window
Window
pd.core.window.rolling.Rolling.apply
pd.core.window.rolling.Rolling.corr
pd.core.window.rolling.Rolling.count
pd.core.window.rolling.Rolling.cov
pd.core.window.rolling.Rolling.max
pd.core.window.rolling.Rolling.mean
pd.core.window.rolling.Rolling.median
pd.core.window.rolling.Rolling.min
pd.core.window.rolling.Rolling.std
pd.core.window.rolling.Rolling.sum
pd.core.window.rolling.Rolling.var
DateOffsets
DateOffsets
pd.tseries.offsets.DateOffset
pd.tseries.offsets.MonthBegin
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pd.tseries.offsets.DateOffset.n
pd.tseries.offsets.DateOffset.normalize`
pd.tseries.offsets.Week
Input/Output
Input/Output
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pd.read_json
pd.read_parquet
pd.read_sql
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Index Objects
Index Objects
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pd.Index.argmax
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pd.Index.argsort
pd.Index.copy
pd.DateTimeIndex.date
pd.DateTimeIndex
pd.DateTimeIndex.day
pd.DateTimeIndex.day_of_week
pd.DateTimeIndex.day_of_year
pd.DateTimeIndex.dayofweek
pd.DateTimeIndex.dayofyear
pd.TimedeltaIndex.days
pd.Index.difference
pd.Index.drop_duplicates
pd.Index.dtype
pd.Index.duplicated
pd.Index.empty
pd.Float64Index
pd.MultiIndex.from_product
pd.Index.get_loc
pd.DateTimeIndex.hour
pd.Index.inferred_type
pd.Int64Index
pd.Index.intersection
pd.Index.is_all_dates
pd.Index.is_boolean
pd.Index.is_categorical
pd.Index.is_floating
pd.Index.is_integer
pd.Index.is_interval
pd.DateTimeIndex.is_leap_year
pd.Index.is_monotonic_decreasing
pd.Index.is_monotonic_increasing
pd.DateTimeIndex.is_month_end
pd.DateTimeIndex.is_month_start
pd.Index.is_numeric
pd.Index.is_object
pd.DateTimeIndex.is_quarter_end
pd.DateTimeIndex.is_quarter_start
pd.DateTimeIndex.is_year_end
pd.DateTimeIndex.is_year_start
pd.Index.isin
pd.Index.isna
pd.Index.isnull
pd.Index.map
pd.Index.max
pd.DateTimeIndex.microsecond
pd.TimedeltaIndex.microseconds
pd.Index.min
pd.DateTimeIndex.minute
pd.DateTimeIndex.month
pd.Index.name
pd.Index.names
pd.DateTimeIndex.nanosecond
pd.TimedeltaIndex.nanoseconds
pd.Index.nbytes
pd.Index.ndim
pd.Index.nlevels
pd.Index.nunique
pd.Index.putmask
pd.DateTimeIndex.quarter
pd.RangeIndex
pd.Index.rename
pd.Index.repeat
pd.DateTimeIndex.second
pd.TimedeltaIndex.seconds
pd.Index.shape
pd.Index.size
pd.Index.sort_values
pd.Index.symmetric_difference
pd.Index.T
pd.Index.take
pd.TimedeltaIndex
pd.Index.to_frame
pd.Index.to_list
pd.Index.to_numpy
pd.Index.to_series
pd.Index.tolist
pd.UInt64Index
pd.Index.union
pd.Index.unique
pd.Index.values
pd.DateTimeIndex.week
pd.DateTimeIndex.weekday
pd.DateTimeIndex.weekofyear
pd.Index.where
pd.DateTimeIndex.year
TimeDelta
TimeDelta
pd.Timedelta.ceil
pd.Timedelta.components
pd.Timedelta.days
pd.Timedelta.delta
pd.Timedelta.floor
pd.Timedelta.microseconds
pd.Timedelta.nanoseconds
pd.Timedelta.round
pd.Timedelta.seconds
pd.Timedelta
pd.Timedelta.to_numpy
pd.Timedelta.to_pytimedelta
pd.Timedelta.to_timedelta64
pd.Timedelta.total_seconds
pd.Timedelta.value
Timestamp
Timestamp
pd.Timestamp.ceil
pd.Timestamp.date
pd.Timestamp.day
pd.Timestamp.day_name
pd.Timestamp.day_of_week
pd.Timestamp.day_of_year
pd.Timestamp.dayofweek
pd.Timestamp.dayofyear
pd.Timestamp.days_in_month
pd.Timestamp.daysinmonth
pd.Timestamp.floor
pd.Timestamp.hour
pd.Timestamp.is_leap_year
pd.Timestamp.is_month_end
pd.Timestamp.is_month_start
pd.Timestamp.is_quarter_end
pd.Timestamp.is_quarter_start
pd.Timestamp.is_year_end
pd.Timestamp.is_year_start
pd.Timestamp.isocalendar
pd.Timestamp.isoformat
pd.Timestamp.microsecond
pd.Timestamp.month
pd.Timestamp.month_name
pd.Timestamp.nanosecond
pd.Timestamp.normalize
pd.Timestamp.now
pd.Timestamp.quarter
pd.Timestamp.round
pd.Timestamp.second
pd.Timestamp.strftime
pd.Timestamp
pd.Timestamp.toordinal
pd.Timestamp.value
pd.Timestamp.week
pd.Timestamp.weekday
pd.Timestamp.weekofyear
pd.Timestamp.year
Numpy
User Defined Functions (UDFs)
Machine Learning
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Miscellaneous Functions
Bodo Platform SDK Reference
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Functions
Numeric Functions
REGR_VALX
¶
REGR_VALX
(
Y
,
X
)
Returns
NULL
if either input is
NULL
, otherwise
X
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