Getting started
User Guide
API reference
Development
Release notes
1.4.2
GitHub
Twitter
Input/output
General functions
Series
pandas.Series
pandas.Series.index
pandas.Series.array
pandas.Series.values
pandas.Series.dtype
pandas.Series.shape
pandas.Series.nbytes
pandas.Series.ndim
pandas.Series.size
pandas.Series.T
pandas.Series.memory_usage
pandas.Series.hasnans
pandas.Series.empty
pandas.Series.dtypes
pandas.Series.name
pandas.Series.flags
pandas.Series.set_flags
pandas.Series.astype
pandas.Series.convert_dtypes
pandas.Series.infer_objects
pandas.Series.copy
pandas.Series.bool
pandas.Series.to_numpy
pandas.Series.to_period
pandas.Series.to_timestamp
pandas.Series.to_list
pandas.Series.__array__
pandas.Series.get
pandas.Series.at
pandas.Series.iat
pandas.Series.loc
pandas.Series.iloc
pandas.Series.__iter__
pandas.Series.items
pandas.Series.iteritems
pandas.Series.keys
pandas.Series.pop
pandas.Series.item
pandas.Series.xs
pandas.Series.add
pandas.Series.sub
pandas.Series.mul
pandas.Series.div
pandas.Series.truediv
pandas.Series.floordiv
pandas.Series.mod
pandas.Series.pow
pandas.Series.radd
pandas.Series.rsub
pandas.Series.rmul
pandas.Series.rdiv
pandas.Series.rtruediv
pandas.Series.rfloordiv
pandas.Series.rmod
pandas.Series.rpow
pandas.Series.combine
pandas.Series.combine_first
pandas.Series.round
pandas.Series.lt
pandas.Series.gt
pandas.Series.le
pandas.Series.ge
pandas.Series.ne
pandas.Series.eq
pandas.Series.product
pandas.Series.dot
pandas.Series.apply
pandas.Series.agg
pandas.Series.aggregate
pandas.Series.transform
pandas.Series.map
pandas.Series.groupby
pandas.Series.rolling
pandas.Series.expanding
pandas.Series.ewm
pandas.Series.pipe
pandas.Series.abs
pandas.Series.all
pandas.Series.any
pandas.Series.autocorr
pandas.Series.between
pandas.Series.clip
pandas.Series.corr
pandas.Series.count
pandas.Series.cov
pandas.Series.cummax
pandas.Series.cummin
pandas.Series.cumprod
pandas.Series.cumsum
pandas.Series.describe
pandas.Series.diff
pandas.Series.factorize
pandas.Series.kurt
pandas.Series.mad
pandas.Series.max
pandas.Series.mean
pandas.Series.median
pandas.Series.min
pandas.Series.mode
pandas.Series.nlargest
pandas.Series.nsmallest
pandas.Series.pct_change
pandas.Series.prod
pandas.Series.quantile
pandas.Series.rank
pandas.Series.sem
pandas.Series.skew
pandas.Series.std
pandas.Series.sum
pandas.Series.var
pandas.Series.kurtosis
pandas.Series.unique
pandas.Series.nunique
pandas.Series.is_unique
pandas.Series.is_monotonic
pandas.Series.is_monotonic_increasing
pandas.Series.is_monotonic_decreasing
pandas.Series.value_counts
pandas.Series.align
pandas.Series.drop
pandas.Series.droplevel
pandas.Series.drop_duplicates
pandas.Series.duplicated
pandas.Series.equals
pandas.Series.first
pandas.Series.head
pandas.Series.idxmax
pandas.Series.idxmin
pandas.Series.isin
pandas.Series.last
pandas.Series.reindex
pandas.Series.reindex_like
pandas.Series.rename
pandas.Series.rename_axis
pandas.Series.reset_index
pandas.Series.sample
pandas.Series.set_axis
pandas.Series.take
pandas.Series.tail
pandas.Series.truncate
pandas.Series.where
pandas.Series.mask
pandas.Series.add_prefix
pandas.Series.add_suffix
pandas.Series.filter
pandas.Series.backfill
pandas.Series.bfill
pandas.Series.dropna
pandas.Series.ffill
pandas.Series.fillna
pandas.Series.interpolate
pandas.Series.isna
pandas.Series.isnull
pandas.Series.notna
pandas.Series.notnull
pandas.Series.pad
pandas.Series.replace
pandas.Series.argsort
pandas.Series.argmin
pandas.Series.argmax
pandas.Series.reorder_levels
pandas.Series.sort_values
pandas.Series.sort_index
pandas.Series.swaplevel
pandas.Series.unstack
pandas.Series.explode
pandas.Series.searchsorted
pandas.Series.ravel
pandas.Series.repeat
pandas.Series.squeeze
pandas.Series.view
pandas.Series.append
pandas.Series.compare
pandas.Series.update
pandas.Series.asfreq
pandas.Series.asof
pandas.Series.shift
pandas.Series.first_valid_index
pandas.Series.last_valid_index
pandas.Series.resample
pandas.Series.tz_convert
pandas.Series.tz_localize
pandas.Series.at_time
pandas.Series.between_time
pandas.Series.tshift
pandas.Series.slice_shift
pandas.Series.dt.date
pandas.Series.dt.time
pandas.Series.dt.timetz
pandas.Series.dt.year
pandas.Series.dt.month
pandas.Series.dt.day
pandas.Series.dt.hour
pandas.Series.dt.minute
pandas.Series.dt.second
pandas.Series.dt.microsecond
pandas.Series.dt.nanosecond
pandas.Series.dt.week
pandas.Series.dt.weekofyear
pandas.Series.dt.dayofweek
pandas.Series.dt.day_of_week
pandas.Series.dt.weekday
pandas.Series.dt.dayofyear
pandas.Series.dt.day_of_year
pandas.Series.dt.quarter
pandas.Series.dt.is_month_start
pandas.Series.dt.is_month_end
pandas.Series.dt.is_quarter_start
pandas.Series.dt.is_quarter_end
pandas.Series.dt.is_year_start
pandas.Series.dt.is_year_end
pandas.Series.dt.is_leap_year
pandas.Series.dt.daysinmonth
pandas.Series.dt.days_in_month
pandas.Series.dt.tz
pandas.Series.dt.freq
pandas.Series.dt.to_period
pandas.Series.dt.to_pydatetime
pandas.Series.dt.tz_localize
pandas.Series.dt.tz_convert
pandas.Series.dt.normalize
pandas.Series.dt.strftime
pandas.Series.dt.round
pandas.Series.dt.floor
pandas.Series.dt.ceil
pandas.Series.dt.month_name
pandas.Series.dt.day_name
pandas.Series.dt.qyear
pandas.Series.dt.start_time
pandas.Series.dt.end_time
pandas.Series.dt.days
pandas.Series.dt.seconds
pandas.Series.dt.microseconds
pandas.Series.dt.nanoseconds
pandas.Series.dt.components
pandas.Series.dt.to_pytimedelta
pandas.Series.dt.total_seconds
pandas.Series.str.capitalize
pandas.Series.str.casefold
pandas.Series.str.cat
pandas.Series.str.center
pandas.Series.str.contains
pandas.Series.str.count
pandas.Series.str.decode
pandas.Series.str.encode
pandas.Series.str.endswith
pandas.Series.str.extract
pandas.Series.str.extractall
pandas.Series.str.find
pandas.Series.str.findall
pandas.Series.str.fullmatch
pandas.Series.str.get
pandas.Series.str.index
pandas.Series.str.join
pandas.Series.str.len
pandas.Series.str.ljust
pandas.Series.str.lower
pandas.Series.str.lstrip
pandas.Series.str.match
pandas.Series.str.normalize
pandas.Series.str.pad
pandas.Series.str.partition
pandas.Series.str.removeprefix
pandas.Series.str.removesuffix
pandas.Series.str.repeat
pandas.Series.str.replace
pandas.Series.str.rfind
pandas.Series.str.rindex
pandas.Series.str.rjust
pandas.Series.str.rpartition
pandas.Series.str.rstrip
pandas.Series.str.slice
pandas.Series.str.slice_replace
pandas.Series.str.split
pandas.Series.str.rsplit
pandas.Series.str.startswith
pandas.Series.str.strip
pandas.Series.str.swapcase
pandas.Series.str.title
pandas.Series.str.translate
pandas.Series.str.upper
pandas.Series.str.wrap
pandas.Series.str.zfill
pandas.Series.str.isalnum
pandas.Series.str.isalpha
pandas.Series.str.isdigit
pandas.Series.str.isspace
pandas.Series.str.islower
pandas.Series.str.isupper
pandas.Series.str.istitle
pandas.Series.str.isnumeric
pandas.Series.str.isdecimal
pandas.Series.str.get_dummies
pandas.Series.cat.categories
pandas.Series.cat.ordered
pandas.Series.cat.codes
pandas.Series.cat.rename_categories
pandas.Series.cat.reorder_categories
pandas.Series.cat.add_categories
pandas.Series.cat.remove_categories
pandas.Series.cat.remove_unused_categories
pandas.Series.cat.set_categories
pandas.Series.cat.as_ordered
pandas.Series.cat.as_unordered
pandas.Series.sparse.npoints
pandas.Series.sparse.density
pandas.Series.sparse.fill_value
pandas.Series.sparse.sp_values
pandas.Series.sparse.from_coo
pandas.Series.sparse.to_coo
pandas.Flags
pandas.Series.attrs
pandas.Series.plot
pandas.Series.plot.area
pandas.Series.plot.bar
pandas.Series.plot.barh
pandas.Series.plot.box
pandas.Series.plot.density
pandas.Series.plot.hist
pandas.Series.plot.kde
pandas.Series.plot.line
pandas.Series.plot.pie
pandas.Series.hist
pandas.Series.to_pickle
pandas.Series.to_csv
pandas.Series.to_dict
pandas.Series.to_excel
pandas.Series.to_frame
pandas.Series.to_xarray
pandas.Series.to_hdf
pandas.Series.to_sql
pandas.Series.to_json
pandas.Series.to_string
pandas.Series.to_clipboard
pandas.Series.to_latex
pandas.Series.to_markdown
DataFrame
pandas arrays, scalars, and data types
Index objects
Date offsets
Window
GroupBy
Resampling
Style
Plotting
General utility functions
Extensions
pandas.Series.dt.day_of_year
#
Series.dt.
day_of_year
#
The ordinal day of the year.
previous
pandas.Series.dt.dayofyear
next
pandas.Series.dt.quarter