doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
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pandas.merge_ordered pandas.merge_ordered(left, right, on=None, left_on=None, right_on=None, left_by=None, right_by=None, fill_method=None, suffixes=('_x', '_y'), how='outer')[source]
Perform a merge for ordered data with optional filling/interpolation. Designed for ordered data like time series data. Optionally pe... | pandas.reference.api.pandas.merge_ordered |
pandas.MultiIndex classpandas.MultiIndex(levels=None, codes=None, sortorder=None, names=None, dtype=None, copy=False, name=None, verify_integrity=True)[source]
A multi-level, or hierarchical, index object for pandas objects. Parameters
levels:sequence of arrays
The unique labels for each level.
codes:sequen... | pandas.reference.api.pandas.multiindex |
pandas.MultiIndex.codes propertyMultiIndex.codes | pandas.reference.api.pandas.multiindex.codes |
pandas.MultiIndex.droplevel MultiIndex.droplevel(level=0)[source]
Return index with requested level(s) removed. If resulting index has only 1 level left, the result will be of Index type, not MultiIndex. Parameters
level:int, str, or list-like, default 0
If a string is given, must be the name of a level If li... | pandas.reference.api.pandas.multiindex.droplevel |
pandas.MultiIndex.dtypes MultiIndex.dtypes
Return the dtypes as a Series for the underlying MultiIndex. | pandas.reference.api.pandas.multiindex.dtypes |
pandas.MultiIndex.from_arrays classmethodMultiIndex.from_arrays(arrays, sortorder=None, names=NoDefault.no_default)[source]
Convert arrays to MultiIndex. Parameters
arrays:list / sequence of array-likes
Each array-like gives one level’s value for each data point. len(arrays) is the number of levels.
sortord... | pandas.reference.api.pandas.multiindex.from_arrays |
pandas.MultiIndex.from_frame classmethodMultiIndex.from_frame(df, sortorder=None, names=None)[source]
Make a MultiIndex from a DataFrame. Parameters
df:DataFrame
DataFrame to be converted to MultiIndex.
sortorder:int, optional
Level of sortedness (must be lexicographically sorted by that level).
names:l... | pandas.reference.api.pandas.multiindex.from_frame |
pandas.MultiIndex.from_product classmethodMultiIndex.from_product(iterables, sortorder=None, names=NoDefault.no_default)[source]
Make a MultiIndex from the cartesian product of multiple iterables. Parameters
iterables:list / sequence of iterables
Each iterable has unique labels for each level of the index.
... | pandas.reference.api.pandas.multiindex.from_product |
pandas.MultiIndex.from_tuples classmethodMultiIndex.from_tuples(tuples, sortorder=None, names=None)[source]
Convert list of tuples to MultiIndex. Parameters
tuples:list / sequence of tuple-likes
Each tuple is the index of one row/column.
sortorder:int or None
Level of sortedness (must be lexicographically... | pandas.reference.api.pandas.multiindex.from_tuples |
pandas.MultiIndex.get_indexer MultiIndex.get_indexer(target, method=None, limit=None, tolerance=None)[source]
Compute indexer and mask for new index given the current index. The indexer should be then used as an input to ndarray.take to align the current data to the new index. Parameters
target:Index
method:{... | pandas.reference.api.pandas.multiindex.get_indexer |
pandas.MultiIndex.get_level_values MultiIndex.get_level_values(level)[source]
Return vector of label values for requested level. Length of returned vector is equal to the length of the index. Parameters
level:int or str
level is either the integer position of the level in the MultiIndex, or the name of the le... | pandas.reference.api.pandas.multiindex.get_level_values |
pandas.MultiIndex.get_loc MultiIndex.get_loc(key, method=None)[source]
Get location for a label or a tuple of labels. The location is returned as an integer/slice or boolean mask. Parameters
key:label or tuple of labels (one for each level)
method:None
Returns
loc:int, slice object or boolean mask
If ... | pandas.reference.api.pandas.multiindex.get_loc |
pandas.MultiIndex.get_loc_level MultiIndex.get_loc_level(key, level=0, drop_level=True)[source]
Get location and sliced index for requested label(s)/level(s). Parameters
key:label or sequence of labels
level:int/level name or list thereof, optional
drop_level:bool, default True
If False, the resulting ind... | pandas.reference.api.pandas.multiindex.get_loc_level |
pandas.MultiIndex.get_locs MultiIndex.get_locs(seq)[source]
Get location for a sequence of labels. Parameters
seq:label, slice, list, mask or a sequence of such
You should use one of the above for each level. If a level should not be used, set it to slice(None). Returns
numpy.ndarray
NumPy array of inte... | pandas.reference.api.pandas.multiindex.get_locs |
pandas.MultiIndex.levels MultiIndex.levels | pandas.reference.api.pandas.multiindex.levels |
pandas.MultiIndex.levshape propertyMultiIndex.levshape
A tuple with the length of each level. Examples
>>> mi = pd.MultiIndex.from_arrays([['a'], ['b'], ['c']])
>>> mi
MultiIndex([('a', 'b', 'c')],
)
>>> mi.levshape
(1, 1, 1) | pandas.reference.api.pandas.multiindex.levshape |
pandas.MultiIndex.names propertyMultiIndex.names
Names of levels in MultiIndex. Examples
>>> mi = pd.MultiIndex.from_arrays(
... [[1, 2], [3, 4], [5, 6]], names=['x', 'y', 'z'])
>>> mi
MultiIndex([(1, 3, 5),
(2, 4, 6)],
names=['x', 'y', 'z'])
>>> mi.names
FrozenList(['x', 'y', 'z']) | pandas.reference.api.pandas.multiindex.names |
pandas.MultiIndex.nlevels propertyMultiIndex.nlevels
Integer number of levels in this MultiIndex. Examples
>>> mi = pd.MultiIndex.from_arrays([['a'], ['b'], ['c']])
>>> mi
MultiIndex([('a', 'b', 'c')],
)
>>> mi.nlevels
3 | pandas.reference.api.pandas.multiindex.nlevels |
pandas.MultiIndex.remove_unused_levels MultiIndex.remove_unused_levels()[source]
Create new MultiIndex from current that removes unused levels. Unused level(s) means levels that are not expressed in the labels. The resulting MultiIndex will have the same outward appearance, meaning the same .values and ordering. It... | pandas.reference.api.pandas.multiindex.remove_unused_levels |
pandas.MultiIndex.reorder_levels MultiIndex.reorder_levels(order)[source]
Rearrange levels using input order. May not drop or duplicate levels. Parameters
order:list of int or list of str
List representing new level order. Reference level by number (position) or by key (label). Returns
MultiIndex
Exam... | pandas.reference.api.pandas.multiindex.reorder_levels |
pandas.MultiIndex.set_codes MultiIndex.set_codes(codes, level=None, inplace=None, verify_integrity=True)[source]
Set new codes on MultiIndex. Defaults to returning new index. Parameters
codes:sequence or list of sequence
New codes to apply.
level:int, level name, or sequence of int/level names (default None... | pandas.reference.api.pandas.multiindex.set_codes |
pandas.MultiIndex.set_levels MultiIndex.set_levels(levels, level=None, inplace=None, verify_integrity=True)[source]
Set new levels on MultiIndex. Defaults to returning new index. Parameters
levels:sequence or list of sequence
New level(s) to apply.
level:int, level name, or sequence of int/level names (defa... | pandas.reference.api.pandas.multiindex.set_levels |
pandas.MultiIndex.sortlevel MultiIndex.sortlevel(level=0, ascending=True, sort_remaining=True)[source]
Sort MultiIndex at the requested level. The result will respect the original ordering of the associated factor at that level. Parameters
level:list-like, int or str, default 0
If a string is given, must be a... | pandas.reference.api.pandas.multiindex.sortlevel |
pandas.MultiIndex.swaplevel MultiIndex.swaplevel(i=- 2, j=- 1)[source]
Swap level i with level j. Calling this method does not change the ordering of the values. Parameters
i:int, str, default -2
First level of index to be swapped. Can pass level name as string. Type of parameters can be mixed.
j:int, str, ... | pandas.reference.api.pandas.multiindex.swaplevel |
pandas.MultiIndex.to_flat_index MultiIndex.to_flat_index()[source]
Convert a MultiIndex to an Index of Tuples containing the level values. Returns
pd.Index
Index with the MultiIndex data represented in Tuples. See also MultiIndex.from_tuples
Convert flat index back to MultiIndex. Notes This method wil... | pandas.reference.api.pandas.multiindex.to_flat_index |
pandas.MultiIndex.to_frame MultiIndex.to_frame(index=True, name=NoDefault.no_default)[source]
Create a DataFrame with the levels of the MultiIndex as columns. Column ordering is determined by the DataFrame constructor with data as a dict. Parameters
index:bool, default True
Set the index of the returned DataF... | pandas.reference.api.pandas.multiindex.to_frame |
pandas.notna pandas.notna(obj)[source]
Detect non-missing values for an array-like object. This function takes a scalar or array-like object and indicates whether values are valid (not missing, which is NaN in numeric arrays, None or NaN in object arrays, NaT in datetimelike). Parameters
obj:array-like or objec... | pandas.reference.api.pandas.notna |
pandas.notnull pandas.notnull(obj)[source]
Detect non-missing values for an array-like object. This function takes a scalar or array-like object and indicates whether values are valid (not missing, which is NaN in numeric arrays, None or NaN in object arrays, NaT in datetimelike). Parameters
obj:array-like or o... | pandas.reference.api.pandas.notnull |
pandas.option_context classpandas.option_context(*args)[source]
Context manager to temporarily set options in the with statement context. You need to invoke as option_context(pat, val, [(pat, val), ...]). Examples
>>> with option_context('display.max_rows', 10, 'display.max_columns', 5):
... pass
Methods ... | pandas.reference.api.pandas.option_context |
pandas.option_context.__call__ option_context.__call__(func)[source]
Call self as a function. | pandas.reference.api.pandas.option_context.__call__ |
pandas.Period classpandas.Period(value=None, freq=None, ordinal=None, year=None, month=None, quarter=None, day=None, hour=None, minute=None, second=None)
Represents a period of time. Parameters
value:Period or str, default None
The time period represented (e.g., ‘4Q2005’).
freq:str, default None
One of pa... | pandas.reference.api.pandas.period |
pandas.Period.asfreq Period.asfreq()
Convert Period to desired frequency, at the start or end of the interval. Parameters
freq:str
The desired frequency.
how:{‘E’, ‘S’, ‘end’, ‘start’}, default ‘end’
Start or end of the timespan. Returns
resampled:Period | pandas.reference.api.pandas.period.asfreq |
pandas.Period.day Period.day
Get day of the month that a Period falls on. Returns
int
See also Period.dayofweek
Get the day of the week. Period.dayofyear
Get the day of the year. Examples
>>> p = pd.Period("2018-03-11", freq='H')
>>> p.day
11 | pandas.reference.api.pandas.period.day |
pandas.Period.day_of_week Period.day_of_week
Day of the week the period lies in, with Monday=0 and Sunday=6. If the period frequency is lower than daily (e.g. hourly), and the period spans over multiple days, the day at the start of the period is used. If the frequency is higher than daily (e.g. monthly), the last ... | pandas.reference.api.pandas.period.day_of_week |
pandas.Period.day_of_year Period.day_of_year
Return the day of the year. This attribute returns the day of the year on which the particular date occurs. The return value ranges between 1 to 365 for regular years and 1 to 366 for leap years. Returns
int
The day of year. See also Period.day
Return the day ... | pandas.reference.api.pandas.period.day_of_year |
pandas.Period.dayofweek Period.dayofweek
Day of the week the period lies in, with Monday=0 and Sunday=6. If the period frequency is lower than daily (e.g. hourly), and the period spans over multiple days, the day at the start of the period is used. If the frequency is higher than daily (e.g. monthly), the last day ... | pandas.reference.api.pandas.period.dayofweek |
pandas.Period.dayofyear Period.dayofyear
Return the day of the year. This attribute returns the day of the year on which the particular date occurs. The return value ranges between 1 to 365 for regular years and 1 to 366 for leap years. Returns
int
The day of year. See also Period.day
Return the day of t... | pandas.reference.api.pandas.period.dayofyear |
pandas.Period.days_in_month Period.days_in_month
Get the total number of days in the month that this period falls on. Returns
int
See also Period.daysinmonth
Gets the number of days in the month. DatetimeIndex.daysinmonth
Gets the number of days in the month. calendar.monthrange
Returns a tuple contain... | pandas.reference.api.pandas.period.days_in_month |
pandas.Period.daysinmonth Period.daysinmonth
Get the total number of days of the month that the Period falls in. Returns
int
See also Period.days_in_month
Return the days of the month. Period.dayofyear
Return the day of the year. Examples
>>> p = pd.Period("2018-03-11", freq='H')
>>> p.daysinmonth
31 | pandas.reference.api.pandas.period.daysinmonth |
pandas.Period.end_time Period.end_time
Get the Timestamp for the end of the period. Returns
Timestamp
See also Period.start_time
Return the start Timestamp. Period.dayofyear
Return the day of year. Period.daysinmonth
Return the days in that month. Period.dayofweek
Return the day of the week. | pandas.reference.api.pandas.period.end_time |
pandas.Period.freq Period.freq | pandas.reference.api.pandas.period.freq |
pandas.Period.freqstr Period.freqstr
Return a string representation of the frequency. | pandas.reference.api.pandas.period.freqstr |
pandas.Period.hour Period.hour
Get the hour of the day component of the Period. Returns
int
The hour as an integer, between 0 and 23. See also Period.second
Get the second component of the Period. Period.minute
Get the minute component of the Period. Examples
>>> p = pd.Period("2018-03-11 13:03:12.... | pandas.reference.api.pandas.period.hour |
pandas.Period.is_leap_year Period.is_leap_year
Return True if the period’s year is in a leap year. | pandas.reference.api.pandas.period.is_leap_year |
pandas.Period.minute Period.minute
Get minute of the hour component of the Period. Returns
int
The minute as an integer, between 0 and 59. See also Period.hour
Get the hour component of the Period. Period.second
Get the second component of the Period. Examples
>>> p = pd.Period("2018-03-11 13:03:12... | pandas.reference.api.pandas.period.minute |
pandas.Period.month Period.month
Return the month this Period falls on. | pandas.reference.api.pandas.period.month |
pandas.Period.now Period.now()
Return the period of now’s date. | pandas.reference.api.pandas.period.now |
pandas.Period.ordinal Period.ordinal | pandas.reference.api.pandas.period.ordinal |
pandas.Period.quarter Period.quarter
Return the quarter this Period falls on. | pandas.reference.api.pandas.period.quarter |
pandas.Period.qyear Period.qyear
Fiscal year the Period lies in according to its starting-quarter. The year and the qyear of the period will be the same if the fiscal and calendar years are the same. When they are not, the fiscal year can be different from the calendar year of the period. Returns
int
The fiscal... | pandas.reference.api.pandas.period.qyear |
pandas.Period.second Period.second
Get the second component of the Period. Returns
int
The second of the Period (ranges from 0 to 59). See also Period.hour
Get the hour component of the Period. Period.minute
Get the minute component of the Period. Examples
>>> p = pd.Period("2018-03-11 13:03:12.050... | pandas.reference.api.pandas.period.second |
pandas.Period.start_time Period.start_time
Get the Timestamp for the start of the period. Returns
Timestamp
See also Period.end_time
Return the end Timestamp. Period.dayofyear
Return the day of year. Period.daysinmonth
Return the days in that month. Period.dayofweek
Return the day of the week. Exa... | pandas.reference.api.pandas.period.start_time |
pandas.Period.strftime Period.strftime()
Returns the string representation of the Period, depending on the selected fmt. fmt must be a string containing one or several directives. The method recognizes the same directives as the time.strftime() function of the standard Python distribution, as well as the specific a... | pandas.reference.api.pandas.period.strftime |
pandas.Period.to_timestamp Period.to_timestamp()
Return the Timestamp representation of the Period. Uses the target frequency specified at the part of the period specified by how, which is either Start or Finish. Parameters
freq:str or DateOffset
Target frequency. Default is ‘D’ if self.freq is week or longer... | pandas.reference.api.pandas.period.to_timestamp |
pandas.Period.week Period.week
Get the week of the year on the given Period. Returns
int
See also Period.dayofweek
Get the day component of the Period. Period.weekday
Get the day component of the Period. Examples
>>> p = pd.Period("2018-03-11", "H")
>>> p.week
10
>>> p = pd.Period("2018-02-01", "D... | pandas.reference.api.pandas.period.week |
pandas.Period.weekday Period.weekday
Day of the week the period lies in, with Monday=0 and Sunday=6. If the period frequency is lower than daily (e.g. hourly), and the period spans over multiple days, the day at the start of the period is used. If the frequency is higher than daily (e.g. monthly), the last day of t... | pandas.reference.api.pandas.period.weekday |
pandas.Period.weekofyear Period.weekofyear
Get the week of the year on the given Period. Returns
int
See also Period.dayofweek
Get the day component of the Period. Period.weekday
Get the day component of the Period. Examples
>>> p = pd.Period("2018-03-11", "H")
>>> p.weekofyear
10
>>> p = pd.Perio... | pandas.reference.api.pandas.period.weekofyear |
pandas.Period.year Period.year
Return the year this Period falls on. | pandas.reference.api.pandas.period.year |
pandas.period_range pandas.period_range(start=None, end=None, periods=None, freq=None, name=None)[source]
Return a fixed frequency PeriodIndex. The day (calendar) is the default frequency. Parameters
start:str or period-like, default None
Left bound for generating periods.
end:str or period-like, default No... | pandas.reference.api.pandas.period_range |
pandas.PeriodDtype classpandas.PeriodDtype(freq=None)[source]
An ExtensionDtype for Period data. This is not an actual numpy dtype, but a duck type. Parameters
freq:str or DateOffset
The frequency of this PeriodDtype. Examples
>>> pd.PeriodDtype(freq='D')
period[D]
>>> pd.PeriodDtype(freq=pd.offsets.M... | pandas.reference.api.pandas.perioddtype |
pandas.PeriodDtype.freq propertyPeriodDtype.freq
The frequency object of this PeriodDtype. | pandas.reference.api.pandas.perioddtype.freq |
pandas.PeriodIndex classpandas.PeriodIndex(data=None, ordinal=None, freq=None, dtype=None, copy=False, name=None, **fields)[source]
Immutable ndarray holding ordinal values indicating regular periods in time. Index keys are boxed to Period objects which carries the metadata (eg, frequency information). Parameters ... | pandas.reference.api.pandas.periodindex |
pandas.PeriodIndex.asfreq PeriodIndex.asfreq(freq=None, how='E')[source]
Convert the PeriodArray to the specified frequency freq. Equivalent to applying pandas.Period.asfreq() with the given arguments to each Period in this PeriodArray. Parameters
freq:str
A frequency.
how:str {‘E’, ‘S’}, default ‘E’
Whet... | pandas.reference.api.pandas.periodindex.asfreq |
pandas.PeriodIndex.day propertyPeriodIndex.day
The days of the period. | pandas.reference.api.pandas.periodindex.day |
pandas.PeriodIndex.day_of_week propertyPeriodIndex.day_of_week
The day of the week with Monday=0, Sunday=6. | pandas.reference.api.pandas.periodindex.day_of_week |
pandas.PeriodIndex.day_of_year propertyPeriodIndex.day_of_year
The ordinal day of the year. | pandas.reference.api.pandas.periodindex.day_of_year |
pandas.PeriodIndex.dayofweek propertyPeriodIndex.dayofweek
The day of the week with Monday=0, Sunday=6. | pandas.reference.api.pandas.periodindex.dayofweek |
pandas.PeriodIndex.dayofyear propertyPeriodIndex.dayofyear
The ordinal day of the year. | pandas.reference.api.pandas.periodindex.dayofyear |
pandas.PeriodIndex.days_in_month propertyPeriodIndex.days_in_month
The number of days in the month. | pandas.reference.api.pandas.periodindex.days_in_month |
pandas.PeriodIndex.daysinmonth propertyPeriodIndex.daysinmonth
The number of days in the month. | pandas.reference.api.pandas.periodindex.daysinmonth |
pandas.PeriodIndex.end_time propertyPeriodIndex.end_time | pandas.reference.api.pandas.periodindex.end_time |
pandas.PeriodIndex.freq propertyPeriodIndex.freq
Return the frequency object if it is set, otherwise None. | pandas.reference.api.pandas.periodindex.freq |
pandas.PeriodIndex.freqstr propertyPeriodIndex.freqstr
Return the frequency object as a string if its set, otherwise None. | pandas.reference.api.pandas.periodindex.freqstr |
pandas.PeriodIndex.hour propertyPeriodIndex.hour
The hour of the period. | pandas.reference.api.pandas.periodindex.hour |
pandas.PeriodIndex.is_leap_year propertyPeriodIndex.is_leap_year
Logical indicating if the date belongs to a leap year. | pandas.reference.api.pandas.periodindex.is_leap_year |
pandas.PeriodIndex.minute propertyPeriodIndex.minute
The minute of the period. | pandas.reference.api.pandas.periodindex.minute |
pandas.PeriodIndex.month propertyPeriodIndex.month
The month as January=1, December=12. | pandas.reference.api.pandas.periodindex.month |
pandas.PeriodIndex.quarter propertyPeriodIndex.quarter
The quarter of the date. | pandas.reference.api.pandas.periodindex.quarter |
pandas.PeriodIndex.qyear propertyPeriodIndex.qyear | pandas.reference.api.pandas.periodindex.qyear |
pandas.PeriodIndex.second propertyPeriodIndex.second
The second of the period. | pandas.reference.api.pandas.periodindex.second |
pandas.PeriodIndex.start_time propertyPeriodIndex.start_time | pandas.reference.api.pandas.periodindex.start_time |
pandas.PeriodIndex.strftime PeriodIndex.strftime(*args, **kwargs)[source]
Convert to Index using specified date_format. Return an Index of formatted strings specified by date_format, which supports the same string format as the python standard library. Details of the string format can be found in python string form... | pandas.reference.api.pandas.periodindex.strftime |
pandas.PeriodIndex.to_timestamp PeriodIndex.to_timestamp(freq=None, how='start')[source]
Cast to DatetimeArray/Index. Parameters
freq:str or DateOffset, optional
Target frequency. The default is ‘D’ for week or longer, ‘S’ otherwise.
how:{‘s’, ‘e’, ‘start’, ‘end’}
Whether to use the start or end of the ti... | pandas.reference.api.pandas.periodindex.to_timestamp |
pandas.PeriodIndex.week propertyPeriodIndex.week
The week ordinal of the year. | pandas.reference.api.pandas.periodindex.week |
pandas.PeriodIndex.weekday propertyPeriodIndex.weekday
The day of the week with Monday=0, Sunday=6. | pandas.reference.api.pandas.periodindex.weekday |
pandas.PeriodIndex.weekofyear propertyPeriodIndex.weekofyear
The week ordinal of the year. | pandas.reference.api.pandas.periodindex.weekofyear |
pandas.PeriodIndex.year propertyPeriodIndex.year
The year of the period. | pandas.reference.api.pandas.periodindex.year |
pandas.pivot pandas.pivot(data, index=None, columns=None, values=None)[source]
Return reshaped DataFrame organized by given index / column values. Reshape data (produce a “pivot” table) based on column values. Uses unique values from specified index / columns to form axes of the resulting DataFrame. This function d... | pandas.reference.api.pandas.pivot |
pandas.pivot_table pandas.pivot_table(data, values=None, index=None, columns=None, aggfunc='mean', fill_value=None, margins=False, dropna=True, margins_name='All', observed=False, sort=True)[source]
Create a spreadsheet-style pivot table as a DataFrame. The levels in the pivot table will be stored in MultiIndex obj... | pandas.reference.api.pandas.pivot_table |
pandas.plotting.andrews_curves pandas.plotting.andrews_curves(frame, class_column, ax=None, samples=200, color=None, colormap=None, **kwargs)[source]
Generate a matplotlib plot of Andrews curves, for visualising clusters of multivariate data. Andrews curves have the functional form: f(t) = x_1/sqrt(2) + x_2 sin(t)... | pandas.reference.api.pandas.plotting.andrews_curves |
pandas.plotting.autocorrelation_plot pandas.plotting.autocorrelation_plot(series, ax=None, **kwargs)[source]
Autocorrelation plot for time series. Parameters
series:Time series
ax:Matplotlib axis object, optional
**kwargs
Options to pass to matplotlib plotting method. Returns
class:matplotlib.axis.Axes... | pandas.reference.api.pandas.plotting.autocorrelation_plot |
pandas.plotting.bootstrap_plot pandas.plotting.bootstrap_plot(series, fig=None, size=50, samples=500, **kwds)[source]
Bootstrap plot on mean, median and mid-range statistics. The bootstrap plot is used to estimate the uncertainty of a statistic by relaying on random sampling with replacement [1]. This function will... | pandas.reference.api.pandas.plotting.bootstrap_plot |
pandas.plotting.boxplot pandas.plotting.boxplot(data, column=None, by=None, ax=None, fontsize=None, rot=0, grid=True, figsize=None, layout=None, return_type=None, **kwargs)[source]
Make a box plot from DataFrame columns. Make a box-and-whisker plot from DataFrame columns, optionally grouped by some other columns. A... | pandas.reference.api.pandas.plotting.boxplot |
pandas.plotting.deregister_matplotlib_converters pandas.plotting.deregister_matplotlib_converters()[source]
Remove pandas formatters and converters. Removes the custom converters added by register(). This attempts to set the state of the registry back to the state before pandas registered its own units. Converters ... | pandas.reference.api.pandas.plotting.deregister_matplotlib_converters |
pandas.plotting.lag_plot pandas.plotting.lag_plot(series, lag=1, ax=None, **kwds)[source]
Lag plot for time series. Parameters
series:Time series
lag:lag of the scatter plot, default 1
ax:Matplotlib axis object, optional
**kwds
Matplotlib scatter method keyword arguments. Returns
class:matplotlib.axi... | pandas.reference.api.pandas.plotting.lag_plot |
pandas.plotting.parallel_coordinates pandas.plotting.parallel_coordinates(frame, class_column, cols=None, ax=None, color=None, use_columns=False, xticks=None, colormap=None, axvlines=True, axvlines_kwds=None, sort_labels=False, **kwargs)[source]
Parallel coordinates plotting. Parameters
frame:DataFrame
class_... | pandas.reference.api.pandas.plotting.parallel_coordinates |
pandas.plotting.plot_params pandas.plotting.plot_params={'xaxis.compat': False}
Stores pandas plotting options. Allows for parameter aliasing so you can just use parameter names that are the same as the plot function parameters, but is stored in a canonical format that makes it easy to breakdown into groups later. | pandas.reference.api.pandas.plotting.plot_params |
pandas.plotting.radviz pandas.plotting.radviz(frame, class_column, ax=None, color=None, colormap=None, **kwds)[source]
Plot a multidimensional dataset in 2D. Each Series in the DataFrame is represented as a evenly distributed slice on a circle. Each data point is rendered in the circle according to the value on eac... | pandas.reference.api.pandas.plotting.radviz |
pandas.plotting.register_matplotlib_converters pandas.plotting.register_matplotlib_converters()[source]
Register pandas formatters and converters with matplotlib. This function modifies the global matplotlib.units.registry dictionary. pandas adds custom converters for pd.Timestamp pd.Period np.datetime64 datetime.... | pandas.reference.api.pandas.plotting.register_matplotlib_converters |
pandas.plotting.scatter_matrix pandas.plotting.scatter_matrix(frame, alpha=0.5, figsize=None, ax=None, grid=False, diagonal='hist', marker='.', density_kwds=None, hist_kwds=None, range_padding=0.05, **kwargs)[source]
Draw a matrix of scatter plots. Parameters
frame:DataFrame
alpha:float, optional
Amount of ... | pandas.reference.api.pandas.plotting.scatter_matrix |
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