Repository URL to install this package:
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Version:
2022.10.0 ▾
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API
---
.. currentmodule:: dask.dataframe
Dataframe
~~~~~~~~~
.. autosummary::
:toctree: generated/
DataFrame
DataFrame.abs
DataFrame.add
DataFrame.align
DataFrame.all
DataFrame.any
DataFrame.append
DataFrame.apply
DataFrame.applymap
DataFrame.assign
DataFrame.astype
DataFrame.bfill
DataFrame.categorize
DataFrame.columns
DataFrame.compute
DataFrame.copy
DataFrame.corr
DataFrame.count
DataFrame.cov
DataFrame.cummax
DataFrame.cummin
DataFrame.cumprod
DataFrame.cumsum
DataFrame.describe
DataFrame.diff
DataFrame.div
DataFrame.divide
DataFrame.drop
DataFrame.drop_duplicates
DataFrame.dropna
DataFrame.dtypes
DataFrame.eq
DataFrame.eval
DataFrame.explode
DataFrame.ffill
DataFrame.fillna
DataFrame.first
DataFrame.floordiv
DataFrame.ge
DataFrame.get_partition
DataFrame.groupby
DataFrame.gt
DataFrame.head
DataFrame.idxmax
DataFrame.idxmin
DataFrame.iloc
DataFrame.index
DataFrame.info
DataFrame.isin
DataFrame.isna
DataFrame.isnull
DataFrame.items
DataFrame.iterrows
DataFrame.itertuples
DataFrame.join
DataFrame.known_divisions
DataFrame.last
DataFrame.le
DataFrame.loc
DataFrame.lt
DataFrame.map_partitions
DataFrame.mask
DataFrame.max
DataFrame.mean
DataFrame.median
DataFrame.median_approximate
DataFrame.melt
DataFrame.memory_usage
DataFrame.memory_usage_per_partition
DataFrame.merge
DataFrame.min
DataFrame.mod
DataFrame.mode
DataFrame.mul
DataFrame.ndim
DataFrame.ne
DataFrame.nlargest
DataFrame.npartitions
DataFrame.nsmallest
DataFrame.partitions
DataFrame.pivot_table
DataFrame.pop
DataFrame.pow
DataFrame.prod
DataFrame.quantile
DataFrame.query
DataFrame.radd
DataFrame.random_split
DataFrame.rdiv
DataFrame.rename
DataFrame.repartition
DataFrame.replace
DataFrame.resample
DataFrame.reset_index
DataFrame.rfloordiv
DataFrame.rmod
DataFrame.rmul
DataFrame.round
DataFrame.rpow
DataFrame.rsub
DataFrame.rtruediv
DataFrame.sample
DataFrame.select_dtypes
DataFrame.sem
DataFrame.set_index
DataFrame.shape
DataFrame.shuffle
DataFrame.size
DataFrame.sort_values
DataFrame.squeeze
DataFrame.std
DataFrame.sub
DataFrame.sum
DataFrame.tail
DataFrame.to_bag
DataFrame.to_csv
DataFrame.to_dask_array
DataFrame.to_delayed
DataFrame.to_hdf
DataFrame.to_html
DataFrame.to_json
DataFrame.to_parquet
DataFrame.to_records
DataFrame.to_string
DataFrame.to_sql
DataFrame.to_timestamp
DataFrame.truediv
DataFrame.values
DataFrame.var
DataFrame.visualize
DataFrame.where
Series
~~~~~~
.. autosummary::
:toctree: generated/
Series
Series.add
Series.align
Series.all
Series.any
Series.append
Series.apply
Series.astype
Series.autocorr
Series.between
Series.bfill
Series.clear_divisions
Series.clip
Series.clip_lower
Series.clip_upper
Series.compute
Series.copy
Series.corr
Series.count
Series.cov
Series.cummax
Series.cummin
Series.cumprod
Series.cumsum
Series.describe
Series.diff
Series.div
Series.drop_duplicates
Series.dropna
Series.dtype
Series.eq
Series.explode
Series.ffill
Series.fillna
Series.first
Series.floordiv
Series.ge
Series.get_partition
Series.groupby
Series.gt
Series.head
Series.idxmax
Series.idxmin
Series.isin
Series.isna
Series.isnull
Series.iteritems
Series.known_divisions
Series.last
Series.le
Series.loc
Series.lt
Series.map
Series.map_overlap
Series.map_partitions
Series.mask
Series.max
Series.mean
Series.median
Series.median_approximate
Series.memory_usage
Series.memory_usage_per_partition
Series.min
Series.mod
Series.mul
Series.nbytes
Series.ndim
Series.ne
Series.nlargest
Series.notnull
Series.nsmallest
Series.nunique
Series.nunique_approx
Series.persist
Series.pipe
Series.pow
Series.prod
Series.quantile
Series.radd
Series.random_split
Series.rdiv
Series.reduction
Series.repartition
Series.replace
Series.rename
Series.resample
Series.reset_index
Series.rolling
Series.round
Series.sample
Series.sem
Series.shape
Series.shift
Series.size
Series.std
Series.sub
Series.sum
Series.to_bag
Series.to_csv
Series.to_dask_array
Series.to_delayed
Series.to_frame
Series.to_hdf
Series.to_string
Series.to_timestamp
Series.truediv
Series.unique
Series.value_counts
Series.values
Series.var
Series.visualize
Series.where
Accessors
~~~~~~~~~
Similar to pandas, Dask provides dtype-specific methods under various accessors.
These are separate namespaces within :class:`Series` that only apply to specific data types.
Datetime Accessor
*****************
**Methods**
.. autosummary::
:toctree: generated/
:template: autosummary/accessor_method.rst
Series.dt.ceil
Series.dt.floor
Series.dt.isocalendar
Series.dt.normalize
Series.dt.round
Series.dt.strftime
**Attributes**
.. autosummary::
:toctree: generated/
:template: autosummary/accessor_attribute.rst
Series.dt.date
Series.dt.day
Series.dt.dayofweek
Series.dt.dayofyear
Series.dt.daysinmonth
Series.dt.freq
Series.dt.hour
Series.dt.microsecond
Series.dt.minute
Series.dt.month
Series.dt.nanosecond
Series.dt.quarter
Series.dt.second
Series.dt.time
Series.dt.timetz
Series.dt.tz
Series.dt.week
Series.dt.weekday
Series.dt.weekofyear
Series.dt.year
String Accessor
***************
**Methods**
.. autosummary::
:toctree: generated/
:template: autosummary/accessor_method.rst
Series.str.capitalize
Series.str.casefold
Series.str.cat
Series.str.center
Series.str.contains
Series.str.count
Series.str.decode
Series.str.encode
Series.str.endswith
Series.str.extract
Series.str.extractall
Series.str.find
Series.str.findall
Series.str.fullmatch
Series.str.get
Series.str.index
Series.str.isalnum
Series.str.isalpha
Series.str.isdecimal
Series.str.isdigit
Series.str.islower
Series.str.isnumeric
Series.str.isspace
Series.str.istitle
Series.str.isupper
Series.str.join
Series.str.len
Series.str.ljust
Series.str.lower
Series.str.lstrip
Series.str.match
Series.str.normalize
Series.str.pad
Series.str.partition
Series.str.repeat
Series.str.replace
Series.str.rfind
Series.str.rindex
Series.str.rjust
Series.str.rpartition
Series.str.rsplit
Series.str.rstrip
Series.str.slice
Series.str.split
Series.str.startswith
Series.str.strip
Series.str.swapcase
Series.str.title
Series.str.translate
Series.str.upper
Series.str.wrap
Series.str.zfill
Categorical Accessor
********************
**Methods**
.. autosummary::
:toctree: generated/
:template: autosummary/accessor_method.rst
Series.cat.add_categories
Series.cat.as_known
Series.cat.as_ordered
Series.cat.as_unknown
Series.cat.as_unordered
Series.cat.remove_categories
Series.cat.remove_unused_categories
Series.cat.rename_categories
Series.cat.reorder_categories
Series.cat.set_categories
**Attributes**
.. autosummary::
:toctree: generated/
:template: autosummary/accessor_attribute.rst
Series.cat.categories
Series.cat.codes
Series.cat.known
Series.cat.ordered
Groupby Operations
~~~~~~~~~~~~~~~~~~
.. currentmodule:: dask.dataframe.groupby
DataFrame Groupby
*****************
.. autosummary::
:toctree: generated/
DataFrameGroupBy.aggregate
DataFrameGroupBy.apply
DataFrameGroupBy.bfill
DataFrameGroupBy.count
DataFrameGroupBy.cumcount
DataFrameGroupBy.cumprod
DataFrameGroupBy.cumsum
DataFrameGroupBy.fillna
DataFrameGroupBy.ffill
DataFrameGroupBy.get_group
DataFrameGroupBy.max
DataFrameGroupBy.mean
DataFrameGroupBy.min
DataFrameGroupBy.size
DataFrameGroupBy.std
DataFrameGroupBy.sum
DataFrameGroupBy.var
DataFrameGroupBy.cov
DataFrameGroupBy.corr
DataFrameGroupBy.first
DataFrameGroupBy.last
DataFrameGroupBy.idxmin
DataFrameGroupBy.idxmax
DataFrameGroupBy.rolling
Series Groupby
**************
.. autosummary::
:toctree: generated/
SeriesGroupBy.aggregate
SeriesGroupBy.apply
SeriesGroupBy.bfill
SeriesGroupBy.count
SeriesGroupBy.cumcount
SeriesGroupBy.cumprod
SeriesGroupBy.cumsum
SeriesGroupBy.fillna
SeriesGroupBy.ffill
SeriesGroupBy.get_group
SeriesGroupBy.max
SeriesGroupBy.mean
SeriesGroupBy.min
SeriesGroupBy.nunique
SeriesGroupBy.size
SeriesGroupBy.std
SeriesGroupBy.sum
SeriesGroupBy.var
SeriesGroupBy.first
SeriesGroupBy.last
SeriesGroupBy.idxmin
SeriesGroupBy.idxmax
SeriesGroupBy.rolling
Custom Aggregation
******************
.. autosummary::
:toctree: generated/
Aggregation
Rolling Operations
~~~~~~~~~~~~~~~~~~
.. currentmodule:: dask.dataframe
.. autosummary::
:toctree: generated/
rolling.map_overlap
Series.rolling
DataFrame.rolling
.. currentmodule:: dask.dataframe.rolling
.. autosummary::
:toctree: generated/
Rolling.apply
Rolling.count
Rolling.kurt
Rolling.max
Rolling.mean
Rolling.median
Rolling.min
Rolling.quantile
Rolling.skew
Rolling.std
Rolling.sum
Rolling.var
Create DataFrames
~~~~~~~~~~~~~~~~~
.. currentmodule:: dask.dataframe
.. autosummary::
:toctree: generated/
read_csv
read_table
read_fwf
read_parquet
read_hdf
read_json
read_orc
read_sql_table
read_sql_query
read_sql
from_array
from_dask_array
from_delayed
from_map
from_pandas
DataFrame.from_dict
.. currentmodule:: dask.bag
.. autosummary::
:toctree: generated/
Bag.to_dataframe
Store DataFrames
~~~~~~~~~~~~~~~~
.. currentmodule:: dask.dataframe
.. autosummary::
:toctree: generated/
to_csv
to_parquet
to_hdf
to_records
to_sql
to_json
Convert DataFrames
~~~~~~~~~~~~~~~~~~
.. autosummary::
:toctree: generated/
DataFrame.to_bag
DataFrame.to_dask_array
DataFrame.to_delayed
Reshape DataFrames
~~~~~~~~~~~~~~~~~~
.. currentmodule:: dask.dataframe.reshape
.. autosummary::
:toctree: generated/
get_dummies
pivot_table
melt
Concatenate DataFrames
~~~~~~~~~~~~~~~~~~~~~~
.. currentmodule:: dask.dataframe.multi
.. autosummary::
:toctree: generated/
DataFrame.merge
concat
merge
merge_asof
Resampling
~~~~~~~~~~
.. currentmodule:: dask.dataframe.tseries.resample
.. autosummary::
:toctree: generated/
Resampler
Resampler.agg
Resampler.count
Resampler.first
Resampler.last
Resampler.max
Resampler.mean
Resampler.median
Resampler.min
Resampler.nunique
Resampler.ohlc
Resampler.prod
Resampler.quantile
Resampler.sem
Resampler.size
Resampler.std
Resampler.sum
Resampler.var
Dask Metadata
~~~~~~~~~~~~~
.. currentmodule:: dask.dataframe.utils
.. autosummary::
:toctree: generated/
make_meta
Other functions
~~~~~~~~~~~~~~~
.. currentmodule:: dask.dataframe
.. autosummary::
:toctree: generated/
compute
map_partitions
to_datetime
to_numeric
to_timedelta