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  4. Series.is_monotonic_decreasing

pandas.Series.is_monotonic_decreasing

Series.is_monotonic_decreasing

Return boolean if values in the object are monotonic_decreasing

New in version 0.19.0.

Returns:
is_monotonic_decreasing : boolean

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Series.is_monotonic_decreasing.html

General utility functions
exception pandas.errors.DtypeWarning[source]
exception pandas.errors.EmptyDataError[source]
exception pandas.errors.OutOfBoundsDatetime
exception pandas.errors.ParserError[source]
exception pandas.errors.ParserWarning[source]
exception pandas.errors.PerformanceWarning[source]
exception pandas.errors.UnsortedIndexError[source]
exception pandas.errors.UnsupportedFunctionCall[source]
option_context()
pandas.api.types.infer_dtype()
pandas.api.types.is_bool()
pandas.api.types.is_bool_dtype()
pandas.api.types.is_categorical()
pandas.api.types.is_categorical_dtype()
pandas.api.types.is_complex()
pandas.api.types.is_complex_dtype()
pandas.api.types.is_datetime64_any_dtype()
pandas.api.types.is_datetime64_dtype()
pandas.api.types.is_datetime64_ns_dtype()
pandas.api.types.is_datetime64tz_dtype()
pandas.api.types.is_datetimetz()
pandas.api.types.is_dict_like()
pandas.api.types.is_extension_type()
pandas.api.types.is_file_like()
pandas.api.types.is_float()
pandas.api.types.is_float_dtype()
pandas.api.types.is_hashable()
pandas.api.types.is_int64_dtype()
pandas.api.types.is_integer()
pandas.api.types.is_integer_dtype()
pandas.api.types.is_interval()
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pandas.api.types.is_iterator()
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pandas.api.types.is_named_tuple()
pandas.api.types.is_number()
pandas.api.types.is_numeric_dtype()
pandas.api.types.is_object_dtype()
pandas.api.types.is_period()
pandas.api.types.is_period_dtype()
pandas.api.types.is_re()
pandas.api.types.is_re_compilable()
pandas.api.types.is_scalar()
pandas.api.types.is_signed_integer_dtype()
pandas.api.types.is_sparse()
pandas.api.types.is_string_dtype()
pandas.api.types.is_timedelta64_dtype()
pandas.api.types.is_timedelta64_ns_dtype()
pandas.api.types.is_unsigned_integer_dtype()
pandas.api.types.pandas_dtype()
pandas.api.types.union_categoricals()
pandas.describe_option()
pandas.get_option()
pandas.reset_option()
pandas.set_option()
pandas.testing.assert_frame_equal()
pandas.testing.assert_index_equal()
pandas.testing.assert_series_equal()
General functions
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pandas.notna()
pandas.notnull()
pandas.period_range()
pandas.pivot()
pandas.pivot_table()
pandas.qcut()
pandas.test()
pandas.timedelta_range()
pandas.to_datetime()
pandas.to_numeric()
pandas.to_timedelta()
pandas.unique()
pandas.wide_to_long()
Manual
1. Installation
2. Package overview
3. 10 Minutes to pandas
4. Tutorials
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6. Intro to Data Structures
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27. pandas Ecosystem
28. Comparison with R / R libraries
29. Comparison with SQL
30. Comparison with SAS
31. Comparison with Stata
32. API Reference
33. Developer
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Extensions
ExtensionArray.argsort()
ExtensionArray.astype()
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Series
Categorical()
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Series.dot()
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Series.dt.dayofweek
Series.dt.dayofyear
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Series.dt.freq
Series.dt.hour
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Series.dt.is_month_start
Series.dt.is_quarter_end
Series.dt.is_quarter_start
Series.dt.is_year_end
Series.dt.is_year_start
Series.dt.microsecond
Series.dt.microseconds
Series.dt.minute
Series.dt.month
Series.dt.month_name()
Series.dt.nanosecond
Series.dt.nanoseconds
Series.dt.normalize()
Series.dt.quarter
Series.dt.round()
Series.dt.second
Series.dt.seconds
Series.dt.strftime()
Series.dt.time
Series.dt.to_period()
Series.dt.to_pydatetime()
Series.dt.to_pytimedelta()
Series.dt.total_seconds()
Series.dt.tz
Series.dt.tz_convert()
Series.dt.tz_localize()
Series.dt.week
Series.dt.weekday
Series.dt.weekofyear
Series.dt.year
Series.dtype
Series.dtypes
Series.duplicated()
Series.empty
Series.eq()
Series.equals()
Series.ewm()
Series.expanding()
Series.factorize()
Series.ffill()
Series.fillna()
Series.filter()
Series.first()
Series.first_valid_index()
Series.flags
Series.floordiv()
Series.from_array()
Series.from_csv()
Series.ftype
Series.ftypes
Series.ge()
Series.get()
Series.get_dtype_counts()
Series.get_ftype_counts()
Series.get_value()
Series.get_values()
Series.groupby()
Series.gt()
Series.hasnans
Series.head()
Series.hist()
Series.iat
Series.idxmax()
Series.idxmin()
Series.iloc
Series.index
Series.infer_objects()
Series.interpolate()
Series.is_copy
Series.is_monotonic
Series.is_monotonic_decreasing
Series.is_monotonic_increasing
Series.is_unique
Series.isin()
Series.isna()
Series.isnull()
Series.item()
Series.items()
Series.itemsize
Series.iteritems()
Series.ix
Series.keys()
Series.kurt()
Series.kurtosis()
Series.last()
Series.last_valid_index()
Series.le()
Series.loc
Series.lt()
Series.mad()
Series.map()
Series.mask()
Series.max()
Series.mean()
Series.median()
Series.memory_usage()
Series.min()
Series.mod()
Series.mode()
Series.mul()
Series.multiply()
Series.name
Series.nbytes
Series.ndim
Series.ne()
Series.nlargest()
Series.nonzero()
Series.notna()
Series.notnull()
Series.nsmallest()
Series.nunique()
Series.pct_change()
Series.pipe()
Series.plot()
Series.plot.area()
Series.plot.bar()
Series.plot.barh()
Series.plot.box()
Series.plot.density()
Series.plot.hist()
Series.plot.kde()
Series.plot.line()
Series.plot.pie()
Series.pop()
Series.pow()
Series.prod()
Series.product()
Series.ptp()
Series.put()
Series.quantile()
Series.radd()
Series.rank()
Series.ravel()
Series.rdiv()
Series.reindex()
Series.reindex_axis()
Series.reindex_like()
Series.rename()
Series.rename_axis()
Series.reorder_levels()
Series.repeat()
Series.replace()
Series.resample()
Series.reset_index()
Series.rfloordiv()
Series.rmod()
Series.rmul()
Series.rolling()
Series.round()
Series.rpow()
Series.rsub()
Series.rtruediv()
Series.sample()
Series.searchsorted()
Series.select()
Series.sem()
Series.set_axis()
Series.set_value()
Series.shape
Series.shift()
Series.size
Series.skew()
Series.slice_shift()
Series.sort_index()
Series.sort_values()
Series.sortlevel()
Series.squeeze()
Series.std()
Series.str()
Series.str.capitalize()
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.get()
Series.str.get_dummies()
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.slice_replace()
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()
Series.strides
Series.sub()
Series.subtract()
Series.sum()
Series.swapaxes()
Series.swaplevel()
Series.tail()
Series.take()
Series.to_clipboard()
Series.to_csv()
Series.to_dense()
Series.to_dict()
Series.to_excel()
Series.to_frame()
Series.to_hdf()
Series.to_json()
Series.to_latex()
Series.to_msgpack()
Series.to_period()
Series.to_pickle()
Series.to_sparse()
Series.to_sql()
Series.to_string()
Series.to_timestamp()
Series.to_xarray()
Series.tolist()
Series.transform()
Series.transpose()
Series.truediv()
Series.truncate()
Series.tshift()
Series.tz_convert()
Series.tz_localize()
Series.unique()
Series.unstack()
Series.update()
Series.valid()
Series.value_counts()
Series.values
Series.var()
Series.view()
Series.where()
Series.xs()
SparseSeries.from_coo()
SparseSeries.to_coo()
api.types.CategoricalDtype()
CategoricalIndex
CategoricalIndex.add_categories()
CategoricalIndex.as_ordered()
CategoricalIndex.as_unordered()
CategoricalIndex.categories
CategoricalIndex.codes
CategoricalIndex.map()
CategoricalIndex.ordered
CategoricalIndex.remove_categories()
CategoricalIndex.remove_unused_categories()
CategoricalIndex.rename_categories()
CategoricalIndex.reorder_categories()
CategoricalIndex.set_categories()
CategoricalIndex[source]
DataFrame
DataFrame()
DataFrame.T
DataFrame.__iter__()
DataFrame.abs()
DataFrame.add()
DataFrame.add_prefix()
DataFrame.add_suffix()
DataFrame.agg()
DataFrame.aggregate()
DataFrame.align()
DataFrame.all()
DataFrame.any()
DataFrame.append()
DataFrame.apply()
DataFrame.applymap()
DataFrame.as_blocks()
DataFrame.as_matrix()
DataFrame.asfreq()
DataFrame.asof()
DataFrame.assign()
DataFrame.astype()
DataFrame.at
DataFrame.at_time()
DataFrame.axes
DataFrame.between_time()
DataFrame.bfill()
DataFrame.blocks
DataFrame.bool()
DataFrame.boxplot()
DataFrame.clip()
DataFrame.clip_lower()
DataFrame.clip_upper()
DataFrame.columns
DataFrame.combine()
DataFrame.combine_first()
DataFrame.compound()
DataFrame.consolidate()
DataFrame.convert_objects()
DataFrame.copy()
DataFrame.corr()
DataFrame.corrwith()
DataFrame.count()
DataFrame.cov()
DataFrame.cummax()
DataFrame.cummin()
DataFrame.cumprod()
DataFrame.cumsum()
DataFrame.describe()
DataFrame.diff()
DataFrame.div()
DataFrame.divide()
DataFrame.dot()
DataFrame.drop()
DataFrame.drop_duplicates()
DataFrame.dropna()
DataFrame.dtypes
DataFrame.duplicated()
DataFrame.empty
DataFrame.eq()
DataFrame.equals()
DataFrame.eval()
DataFrame.ewm()
DataFrame.expanding()
DataFrame.ffill()
DataFrame.fillna()
DataFrame.filter()
DataFrame.first()
DataFrame.first_valid_index()
DataFrame.floordiv()
DataFrame.from_csv()
DataFrame.from_dict()
DataFrame.from_items()
DataFrame.from_records()
DataFrame.ftypes
DataFrame.ge()
DataFrame.get()
DataFrame.get_dtype_counts()
DataFrame.get_ftype_counts()
DataFrame.get_value()
DataFrame.get_values()
DataFrame.groupby()
DataFrame.gt()
DataFrame.head()
DataFrame.hist()
DataFrame.iat
DataFrame.idxmax()
DataFrame.idxmin()
DataFrame.iloc
DataFrame.index
DataFrame.infer_objects()
DataFrame.info()
DataFrame.insert()
DataFrame.interpolate()
DataFrame.is_copy
DataFrame.isin()
DataFrame.isna()
DataFrame.isnull()
DataFrame.items()
DataFrame.iteritems()
DataFrame.iterrows()
DataFrame.itertuples()
DataFrame.ix
DataFrame.join()
DataFrame.keys()
DataFrame.kurt()
DataFrame.kurtosis()
DataFrame.last()
DataFrame.last_valid_index()
DataFrame.le()
DataFrame.loc
DataFrame.lookup()
DataFrame.lt()
DataFrame.mad()
DataFrame.mask()
DataFrame.max()
DataFrame.mean()
DataFrame.median()
DataFrame.melt()
DataFrame.memory_usage()
DataFrame.merge()
DataFrame.min()
DataFrame.mod()
DataFrame.mode()
DataFrame.mul()
DataFrame.multiply()
DataFrame.ndim
DataFrame.ne()
DataFrame.nlargest()
DataFrame.notna()
DataFrame.notnull()
DataFrame.nsmallest()
DataFrame.nunique()
DataFrame.pct_change()
DataFrame.pipe()
DataFrame.pivot()
DataFrame.pivot_table()
DataFrame.plot()
DataFrame.plot.area()
DataFrame.plot.bar()
DataFrame.plot.barh()
DataFrame.plot.box()
DataFrame.plot.density()
DataFrame.plot.hexbin()
DataFrame.plot.hist()
DataFrame.plot.kde()
DataFrame.plot.line()
DataFrame.plot.pie()
DataFrame.plot.scatter()
DataFrame.pop()
DataFrame.pow()
DataFrame.prod()
DataFrame.product()
DataFrame.quantile()
DataFrame.query()
DataFrame.radd()
DataFrame.rank()
DataFrame.rdiv()
DataFrame.reindex()
DataFrame.reindex_axis()
DataFrame.reindex_like()
DataFrame.rename()
DataFrame.rename_axis()
DataFrame.reorder_levels()
DataFrame.replace()
DataFrame.resample()
DataFrame.reset_index()
DataFrame.rfloordiv()
DataFrame.rmod()
DataFrame.rmul()
DataFrame.rolling()
DataFrame.round()
DataFrame.rpow()
DataFrame.rsub()
DataFrame.rtruediv()
DataFrame.sample()
DataFrame.select()
DataFrame.select_dtypes()
DataFrame.sem()
DataFrame.set_axis()
DataFrame.set_index()
DataFrame.set_value()
DataFrame.shape
DataFrame.shift()
DataFrame.size
DataFrame.skew()
DataFrame.slice_shift()
DataFrame.sort_index()
DataFrame.sort_values()
DataFrame.sortlevel()
DataFrame.squeeze()
DataFrame.stack()
DataFrame.std()
DataFrame.style
DataFrame.sub()
DataFrame.subtract()
DataFrame.sum()
DataFrame.swapaxes()
DataFrame.swaplevel()
DataFrame.tail()
DataFrame.take()
DataFrame.to_clipboard()
DataFrame.to_csv()
DataFrame.to_dense()
DataFrame.to_dict()
DataFrame.to_excel()
DataFrame.to_feather()
DataFrame.to_gbq()
DataFrame.to_hdf()
DataFrame.to_html()
DataFrame.to_json()
DataFrame.to_latex()
DataFrame.to_msgpack()
DataFrame.to_panel()
DataFrame.to_parquet()
DataFrame.to_period()
DataFrame.to_pickle()
DataFrame.to_records()
DataFrame.to_sparse()
DataFrame.to_stata()
DataFrame.to_string()
DataFrame.to_timestamp()
DataFrame.to_xarray()
DataFrame.transform()
DataFrame.transpose()
DataFrame.truediv()
DataFrame.truncate()
DataFrame.tshift()
DataFrame.tz_convert()
DataFrame.tz_localize()
DataFrame.unstack()
DataFrame.update()
DataFrame.values
DataFrame.var()
DataFrame.where()
DataFrame.xs()
SparseDataFrame.to_coo()
SQL Queries
DataFrame.to_sql()
pandas.read_sql()
pandas.read_sql_query()
pandas.read_sql_table()
GroupBy
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DataFrameGroupBy.any()
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DataFrameGroupBy.boxplot()
DataFrameGroupBy.corr
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DataFrameGroupBy.cov
DataFrameGroupBy.cummax()
DataFrameGroupBy.cummin()
DataFrameGroupBy.cumprod()
DataFrameGroupBy.cumsum()
DataFrameGroupBy.describe()
DataFrameGroupBy.diff
DataFrameGroupBy.ffill()
DataFrameGroupBy.fillna
DataFrameGroupBy.filter()
DataFrameGroupBy.hist
DataFrameGroupBy.idxmax
DataFrameGroupBy.idxmin
DataFrameGroupBy.mad
DataFrameGroupBy.pct_change()
DataFrameGroupBy.plot
DataFrameGroupBy.quantile
DataFrameGroupBy.rank()
DataFrameGroupBy.resample()
DataFrameGroupBy.shift()
DataFrameGroupBy.size()
DataFrameGroupBy.skew
DataFrameGroupBy.take
DataFrameGroupBy.tshift
GroupBy.__iter__()
GroupBy.aggregate()
GroupBy.all()
GroupBy.any()
GroupBy.apply()
GroupBy.bfill()
GroupBy.count()
GroupBy.cumcount()
GroupBy.ffill()
GroupBy.first()
GroupBy.get_group()
GroupBy.groups
GroupBy.head()
GroupBy.indices
GroupBy.last()
GroupBy.max()
GroupBy.mean()
GroupBy.median()
GroupBy.min()
GroupBy.ngroup()
GroupBy.nth()
GroupBy.ohlc()
GroupBy.pct_change()
GroupBy.pipe()
GroupBy.prod()
GroupBy.rank()
GroupBy.sem()
GroupBy.size()
GroupBy.std()
GroupBy.sum()
GroupBy.tail()
GroupBy.transform()
GroupBy.var()
Grouper()
SeriesGroupBy.is_monotonic_decreasing
SeriesGroupBy.is_monotonic_increasing
SeriesGroupBy.nlargest
SeriesGroupBy.nsmallest
SeriesGroupBy.nunique()
SeriesGroupBy.unique
SeriesGroupBy.value_counts()
DatetimeIndex
DatetimeIndex.ceil()
DatetimeIndex.date
DatetimeIndex.day
DatetimeIndex.day_name()
DatetimeIndex.dayofweek
DatetimeIndex.dayofyear
DatetimeIndex.floor()
DatetimeIndex.freq
DatetimeIndex.freqstr
DatetimeIndex.hour
DatetimeIndex.indexer_at_time()
DatetimeIndex.indexer_between_time()
DatetimeIndex.inferred_freq
DatetimeIndex.is_leap_year
DatetimeIndex.is_month_end
DatetimeIndex.is_month_start
DatetimeIndex.is_quarter_end
DatetimeIndex.is_quarter_start
DatetimeIndex.is_year_end
DatetimeIndex.is_year_start
DatetimeIndex.microsecond
DatetimeIndex.minute
DatetimeIndex.month
DatetimeIndex.month_name()
DatetimeIndex.nanosecond
DatetimeIndex.normalize()
DatetimeIndex.quarter
DatetimeIndex.round()
DatetimeIndex.second
DatetimeIndex.snap()
DatetimeIndex.strftime()
DatetimeIndex.time
DatetimeIndex.to_frame()
DatetimeIndex.to_period()
DatetimeIndex.to_perioddelta()
DatetimeIndex.to_pydatetime()
DatetimeIndex.to_series()
DatetimeIndex.tz
DatetimeIndex.tz_convert()
DatetimeIndex.tz_localize()
DatetimeIndex.week
DatetimeIndex.weekday
DatetimeIndex.weekofyear
DatetimeIndex.year
DatetimeIndex[source]
Window
EWM.corr()
EWM.cov()
EWM.mean()
EWM.std()
EWM.var()
Expanding.aggregate()
Expanding.apply()
Expanding.corr()
Expanding.count()
Expanding.cov()
Expanding.kurt()
Expanding.max()
Expanding.mean()
Expanding.median()
Expanding.min()
Expanding.quantile()
Expanding.skew()
Expanding.std()
Expanding.sum()
Expanding.var()
Rolling.aggregate()
Rolling.apply()
Rolling.corr()
Rolling.count()
Rolling.cov()
Rolling.kurt()
Rolling.max()
Rolling.mean()
Rolling.median()
Rolling.min()
Rolling.quantile()
Rolling.skew()
Rolling.std()
Rolling.sum()
Rolling.var()
Window.mean()
Window.sum()
Input/Output
ExcelFile.parse()
HDFStore.append()
HDFStore.get()
HDFStore.info()
HDFStore.keys()
HDFStore.put()
HDFStore.select()
StataReader.data()
StataReader.data_label()
StataReader.value_labels()
StataReader.variable_labels()
StataWriter.write_file()
pandas.io.json.build_table_schema()
pandas.io.json.json_normalize()
pandas.read_clipboard()
pandas.read_csv()
pandas.read_excel()
pandas.read_feather()
pandas.read_fwf()
pandas.read_gbq()
pandas.read_hdf()
pandas.read_html()
pandas.read_json()
pandas.read_msgpack()
pandas.read_parquet()
pandas.read_pickle()
pandas.read_sas()
pandas.read_stata()
pandas.read_table()
Numeric Index
Float64Index[source]
Int64Index[source]
RangeIndex.from_range()
RangeIndex[source]
UInt64Index[source]
Index
Index.T
Index.all()
Index.any()
Index.append()
Index.argmax()
Index.argmin()
Index.argsort()
Index.asof()
Index.asof_locs()
Index.astype()
Index.base
Index.contains()
Index.copy()
Index.data
Index.delete()
Index.difference()
Index.drop()
Index.drop_duplicates()
Index.dropna()
Index.dtype
Index.dtype_str
Index.duplicated()
Index.empty
Index.equals()
Index.factorize()
Index.fillna()
Index.flags
Index.format()
Index.get_duplicates()
Index.get_indexer()
Index.get_indexer_for()
Index.get_indexer_non_unique()
Index.get_level_values()
Index.get_loc()
Index.get_slice_bound()
Index.get_value()
Index.get_values()
Index.groupby()
Index.has_duplicates
Index.hasnans
Index.identical()
Index.inferred_type
Index.insert()
Index.intersection()
Index.is_()
Index.is_all_dates
Index.is_boolean()
Index.is_categorical()
Index.is_floating()
Index.is_integer()
Index.is_interval()
Index.is_lexsorted_for_tuple()
Index.is_mixed()
Index.is_monotonic
Index.is_monotonic_decreasing
Index.is_monotonic_increasing
Index.is_numeric()
Index.is_object()
Index.is_unique
Index.isin()
Index.isna()
Index.isnull()
Index.item()
Index.itemsize
Index.join()
Index.map()
Index.max()
Index.memory_usage()
Index.min()
Index.name
Index.names
Index.nbytes
Index.ndim
Index.notna()
Index.notnull()
Index.nunique()
Index.putmask()
Index.ravel()
Index.reindex()
Index.rename()
Index.repeat()
Index.searchsorted()
Index.set_names()
Index.set_value()
Index.shape
Index.shift()
Index.size
Index.slice_indexer()
Index.slice_locs()
Index.sort_values()
Index.sortlevel()
Index.str()
Index.strides
Index.summary()
Index.symmetric_difference()
Index.take()
Index.to_frame()
Index.to_native_types()
Index.to_series()
Index.tolist()
Index.transpose()
Index.union()
Index.unique()
Index.value_counts()
Index.values
Index.view()
Index.where()
Index[source]
Scalars
Interval
Interval.closed
Interval.closed_left
Interval.closed_right
Interval.left
Interval.length
Interval.mid
Interval.open_left
Interval.open_right
Interval.right
Period
Period.asfreq()
Period.day
Period.dayofweek
Period.dayofyear
Period.days_in_month
Period.daysinmonth
Period.end_time
Period.freq
Period.freqstr
Period.hour
Period.is_leap_year
Period.minute
Period.month
Period.now()
Period.ordinal
Period.quarter
Period.qyear
Period.second
Period.start_time
Period.strftime()
Period.to_timestamp()
Period.week
Period.weekday
Period.weekofyear
Period.year
Timedelta
Timedelta.asm8
Timedelta.ceil
Timedelta.components
Timedelta.days
Timedelta.delta
Timedelta.floor
Timedelta.freq
Timedelta.is_populated
Timedelta.isoformat()
Timedelta.max
Timedelta.microseconds
Timedelta.min
Timedelta.nanoseconds
Timedelta.resolution
Timedelta.round
Timedelta.seconds
Timedelta.to_pytimedelta()
Timedelta.to_timedelta64()
Timedelta.total_seconds()
Timedelta.value
Timedelta.view()
Timestamp
Timestamp.asm8
Timestamp.astimezone
Timestamp.ceil
Timestamp.combine()
Timestamp.ctime()
Timestamp.date()
Timestamp.day
Timestamp.day_name
Timestamp.dayofweek
Timestamp.dayofyear
Timestamp.days_in_month
Timestamp.daysinmonth
Timestamp.dst()
Timestamp.floor
Timestamp.fold
Timestamp.freq
Timestamp.freqstr
Timestamp.fromordinal()
Timestamp.fromtimestamp()
Timestamp.hour
Timestamp.is_leap_year
Timestamp.is_month_end
Timestamp.is_month_start
Timestamp.is_quarter_end
Timestamp.is_quarter_start
Timestamp.is_year_end
Timestamp.is_year_start
Timestamp.isocalendar()
Timestamp.isoformat
Timestamp.isoweekday()
Timestamp.max
Timestamp.microsecond
Timestamp.min
Timestamp.minute
Timestamp.month
Timestamp.month_name
Timestamp.nanosecond
Timestamp.normalize
Timestamp.now()
Timestamp.quarter
Timestamp.replace
Timestamp.resolution
Timestamp.round
Timestamp.second
Timestamp.strftime()
Timestamp.strptime()
Timestamp.time()
Timestamp.timestamp()
Timestamp.timetuple()
Timestamp.timetz()
Timestamp.to_datetime64()
Timestamp.to_julian_date
Timestamp.to_period
Timestamp.to_pydatetime()
Timestamp.today()
Timestamp.toordinal()
Timestamp.tz
Timestamp.tz_convert
Timestamp.tz_localize
Timestamp.tzinfo
Timestamp.tzname()
Timestamp.utcfromtimestamp()
Timestamp.utcnow()
Timestamp.utcoffset()
Timestamp.utctimetuple()
Timestamp.value
Timestamp.week
Timestamp.weekday()
Timestamp.weekday_name
Timestamp.weekofyear
Timestamp.year
IntervalIndex
IntervalIndex.closed
IntervalIndex.contains()
IntervalIndex.from_arrays()
IntervalIndex.from_breaks()
IntervalIndex.from_tuples()
IntervalIndex.get_indexer()
IntervalIndex.get_loc()
IntervalIndex.is_non_overlapping_monotonic
IntervalIndex.left
IntervalIndex.length
IntervalIndex.mid
IntervalIndex.right
IntervalIndex.values
IntervalIndex[source]
Style
Styler.apply()
Styler.applymap()
Styler.background_gradient()
Styler.bar()
Styler.clear()
Styler.env
Styler.export()
Styler.format()
Styler.from_custom_template()
Styler.hide_columns()
Styler.hide_index()
Styler.highlight_max()
Styler.highlight_min()
Styler.highlight_null()
Styler.loader
Styler.render()
Styler.set_caption()
Styler.set_precision()
Styler.set_properties()
Styler.set_table_attributes()
Styler.set_table_styles()
Styler.set_uuid()
Styler.template
Styler.to_excel()
Styler.use()
Styler.where()
io.formats.style.Styler()
MultiIndex
MultiIndex.droplevel()
MultiIndex.from_arrays()
MultiIndex.from_product()
MultiIndex.from_tuples()
MultiIndex.get_indexer()
MultiIndex.get_level_values()
MultiIndex.get_loc()
MultiIndex.is_lexsorted()
MultiIndex.labels
MultiIndex.levels
MultiIndex.levshape
MultiIndex.names
MultiIndex.nlevels
MultiIndex.remove_unused_levels()
MultiIndex.reorder_levels()
MultiIndex.set_labels()
MultiIndex.set_levels()
MultiIndex.sortlevel()
MultiIndex.swaplevel()
MultiIndex.to_frame()
MultiIndex.to_hierarchical()
MultiIndex.unique()
MultiIndex[source]
pandas.IndexSlice
Plotting
pandas.plotting.andrews_curves()
pandas.plotting.bootstrap_plot()
pandas.plotting.deregister_matplotlib_converters()
pandas.plotting.lag_plot()
pandas.plotting.parallel_coordinates()
pandas.plotting.radviz()
pandas.plotting.register_matplotlib_converters()
pandas.plotting.scatter_matrix()
Frequencies
pandas.tseries.frequencies.to_offset()
Panel
Panel()
Panel.__iter__()
Panel.abs()
Panel.add()
Panel.add_prefix()
Panel.add_suffix()
Panel.align()
Panel.all()
Panel.any()
Panel.apply()
Panel.as_blocks()
Panel.as_matrix()
Panel.asfreq()
Panel.asof()
Panel.astype()
Panel.at
Panel.at_time()
Panel.axes
Panel.between_time()
Panel.bfill()
Panel.blocks
Panel.bool()
Panel.clip()
Panel.clip_lower()
Panel.clip_upper()
Panel.compound()
Panel.conform()
Panel.consolidate()
Panel.convert_objects()
Panel.copy()
Panel.count()
Panel.cummax()
Panel.cummin()
Panel.cumprod()
Panel.cumsum()
Panel.describe()
Panel.div()
Panel.divide()
Panel.drop()
Panel.dropna()
Panel.dtypes
Panel.empty
Panel.eq()
Panel.equals()
Panel.ffill()
Panel.fillna()
Panel.filter()
Panel.first()
Panel.first_valid_index()
Panel.floordiv()
Panel.fromDict()
Panel.from_dict()
Panel.ftypes
Panel.ge()
Panel.get()
Panel.get_dtype_counts()
Panel.get_ftype_counts()
Panel.get_value()
Panel.get_values()
Panel.groupby()
Panel.gt()
Panel.head()
Panel.iat
Panel.iloc
Panel.infer_objects()
Panel.interpolate()
Panel.isna()
Panel.isnull()
Panel.items
Panel.iteritems()
Panel.ix
Panel.join()
Panel.keys()
Panel.kurt()
Panel.kurtosis()
Panel.last()
Panel.last_valid_index()
Panel.le()
Panel.loc
Panel.lt()
Panel.mad()
Panel.major_axis
Panel.major_xs()
Panel.mask()
Panel.max()
Panel.mean()
Panel.median()
Panel.min()
Panel.minor_axis
Panel.minor_xs()
Panel.mod()
Panel.mul()
Panel.multiply()
Panel.ndim
Panel.ne()
Panel.notna()
Panel.notnull()
Panel.pct_change()
Panel.pipe()
Panel.pop()
Panel.pow()
Panel.prod()
Panel.product()
Panel.radd()
Panel.rank()
Panel.rdiv()
Panel.reindex()
Panel.reindex_axis()
Panel.reindex_like()
Panel.rename()
Panel.rename_axis()
Panel.replace()
Panel.resample()
Panel.rfloordiv()
Panel.rmod()
Panel.rmul()
Panel.round()
Panel.rpow()
Panel.rsub()
Panel.rtruediv()
Panel.sample()
Panel.select()
Panel.sem()
Panel.set_axis()
Panel.set_value()
Panel.shape
Panel.shift()
Panel.size
Panel.skew()
Panel.slice_shift()
Panel.sort_index()
Panel.sort_values()
Panel.squeeze()
Panel.std()
Panel.sub()
Panel.subtract()
Panel.sum()
Panel.swapaxes()
Panel.swaplevel()
Panel.tail()
Panel.take()
Panel.to_clipboard()
Panel.to_dense()
Panel.to_excel()
Panel.to_frame()
Panel.to_hdf()
Panel.to_json()
Panel.to_latex()
Panel.to_msgpack()
Panel.to_pickle()
Panel.to_sparse()
Panel.to_sql()
Panel.to_xarray()
Panel.transpose()
Panel.truediv()
Panel.truncate()
Panel.tshift()
Panel.tz_convert()
Panel.tz_localize()
Panel.update()
Panel.values
Panel.var()
Panel.where()
Panel.xs()
PeriodIndex
PeriodIndex.asfreq()
PeriodIndex.day
PeriodIndex.dayofweek
PeriodIndex.dayofyear
PeriodIndex.days_in_month
PeriodIndex.daysinmonth
PeriodIndex.end_time
PeriodIndex.freq
PeriodIndex.freqstr
PeriodIndex.hour
PeriodIndex.is_leap_year
PeriodIndex.minute
PeriodIndex.month
PeriodIndex.quarter
PeriodIndex.qyear
PeriodIndex.second
PeriodIndex.start_time
PeriodIndex.strftime()
PeriodIndex.to_timestamp()
PeriodIndex.tz_convert()
PeriodIndex.tz_localize()
PeriodIndex.week
PeriodIndex.weekday
PeriodIndex.weekofyear
PeriodIndex.year
PeriodIndex[source]
Resampling
Resampler.__iter__()
Resampler.aggregate()
Resampler.apply()
Resampler.asfreq()
Resampler.backfill()
Resampler.bfill()
Resampler.count()
Resampler.ffill()
Resampler.fillna()
Resampler.first()
Resampler.get_group()
Resampler.groups
Resampler.indices
Resampler.interpolate()
Resampler.last()
Resampler.max()
Resampler.mean()
Resampler.median()
Resampler.min()
Resampler.nearest()
Resampler.nunique()
Resampler.ohlc()
Resampler.pad()
Resampler.pipe()
Resampler.prod()
Resampler.sem()
Resampler.size()
Resampler.std()
Resampler.sum()
Resampler.transform()
Resampler.var()
TimedeltaIndex
TimedeltaIndex.ceil()
TimedeltaIndex.components
TimedeltaIndex.days
TimedeltaIndex.floor()
TimedeltaIndex.inferred_freq
TimedeltaIndex.microseconds
TimedeltaIndex.nanoseconds
TimedeltaIndex.round()
TimedeltaIndex.seconds
TimedeltaIndex.to_frame()
TimedeltaIndex.to_pytimedelta()
TimedeltaIndex.to_series()
TimedeltaIndex[source]
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