doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
|---|---|
inverse(value)[source] | matplotlib._as_gen.matplotlib.colors.symlognorm#matplotlib.colors.SymLogNorm.inverse |
matplotlib.colors.to_hex matplotlib.colors.to_hex(c, keep_alpha=False)[source]
Convert c to a hex color. Parameters
ccolor or numpy.ma.masked
keep_alpha: bool, default: False
If False, use the #rrggbb format, otherwise use #rrggbbaa. Returns
str
#rrggbb or #rrggbbaa hex color string | matplotlib._as_gen.matplotlib.colors.to_hex |
matplotlib.colors.to_rgb matplotlib.colors.to_rgb(c)[source]
Convert c to an RGB color, silently dropping the alpha channel.
Examples using matplotlib.colors.to_rgb
List of named colors | matplotlib._as_gen.matplotlib.colors.to_rgb |
matplotlib.colors.to_rgba matplotlib.colors.to_rgba(c, alpha=None)[source]
Convert c to an RGBA color. Parameters
cMatplotlib color or np.ma.masked
alphafloat, optional
If alpha is given, force the alpha value of the returned RGBA tuple to alpha. If None, the alpha value from c is used. If c does not have a... | matplotlib._as_gen.matplotlib.colors.to_rgba |
matplotlib.colors.to_rgba_array matplotlib.colors.to_rgba_array(c, alpha=None)[source]
Convert c to a (n, 4) array of RGBA colors. Parameters
cMatplotlib color or array of colors
If c is a masked array, an ndarray is returned with a (0, 0, 0, 0) row for each masked value or row in c.
alphafloat or sequence ... | matplotlib._as_gen.matplotlib.colors.to_rgba_array |
matplotlib.colors.TwoSlopeNorm classmatplotlib.colors.TwoSlopeNorm(vcenter, vmin=None, vmax=None)[source]
Bases: matplotlib.colors.Normalize Normalize data with a set center. Useful when mapping data with an unequal rates of change around a conceptual center, e.g., data that range from -2 to 4, with 0 as the midpoi... | matplotlib._as_gen.matplotlib.colors.twoslopenorm |
__call__(value, clip=None)[source]
Map value to the interval [0, 1]. The clip argument is unused. | matplotlib._as_gen.matplotlib.colors.twoslopenorm#matplotlib.colors.TwoSlopeNorm.__call__ |
autoscale_None(A)[source]
Get vmin and vmax, and then clip at vcenter | matplotlib._as_gen.matplotlib.colors.twoslopenorm#matplotlib.colors.TwoSlopeNorm.autoscale_None |
inverse(value)[source] | matplotlib._as_gen.matplotlib.colors.twoslopenorm#matplotlib.colors.TwoSlopeNorm.inverse |
matplotlib.container classmatplotlib.container.BarContainer(*args, **kwargs)[source]
Bases: matplotlib.container.Container Container for the artists of bar plots (e.g. created by Axes.bar). The container can be treated as a tuple of the patches themselves. Additionally, you can access these and further parameters b... | matplotlib.container_api |
classmatplotlib.container.BarContainer(*args, **kwargs)[source]
Bases: matplotlib.container.Container Container for the artists of bar plots (e.g. created by Axes.bar). The container can be treated as a tuple of the patches themselves. Additionally, you can access these and further parameters by the attributes. Attr... | matplotlib.container_api#matplotlib.container.BarContainer |
classmatplotlib.container.Container(*args, **kwargs)[source]
Bases: tuple Base class for containers. Containers are classes that collect semantically related Artists such as the bars of a bar plot. add_callback(func)[source]
Add a callback function that will be called whenever one of the Artist's properties chang... | matplotlib.container_api#matplotlib.container.Container |
add_callback(func)[source]
Add a callback function that will be called whenever one of the Artist's properties changes. Parameters
funccallable
The callback function. It must have the signature: def func(artist: Artist) -> Any
where artist is the calling Artist. Return values may exist but are ignored. Retu... | matplotlib.container_api#matplotlib.container.Container.add_callback |
get_children()[source] | matplotlib.container_api#matplotlib.container.Container.get_children |
get_label()[source]
Return the label used for this artist in the legend. | matplotlib.container_api#matplotlib.container.Container.get_label |
pchanged()[source]
Call all of the registered callbacks. This function is triggered internally when a property is changed. See also add_callback
remove_callback | matplotlib.container_api#matplotlib.container.Container.pchanged |
remove()[source] | matplotlib.container_api#matplotlib.container.Container.remove |
remove_callback(oid)[source]
Remove a callback based on its observer id. See also add_callback | matplotlib.container_api#matplotlib.container.Container.remove_callback |
set_label(s)[source]
Set a label that will be displayed in the legend. Parameters
sobject
s will be converted to a string by calling str. | matplotlib.container_api#matplotlib.container.Container.set_label |
classmatplotlib.container.ErrorbarContainer(*args, **kwargs)[source]
Bases: matplotlib.container.Container Container for the artists of error bars (e.g. created by Axes.errorbar). The container can be treated as the lines tuple itself. Additionally, you can access these and further parameters by the attributes. Attr... | matplotlib.container_api#matplotlib.container.ErrorbarContainer |
classmatplotlib.container.StemContainer(*args, **kwargs)[source]
Bases: matplotlib.container.Container Container for the artists created in a Axes.stem() plot. The container can be treated like a namedtuple (markerline, stemlines,
baseline). Attributes
markerlineLine2D
The artist of the markers at the stem head... | matplotlib.container_api#matplotlib.container.StemContainer |
matplotlib.contour Classes to support contour plotting and labelling for the Axes class. classmatplotlib.contour.ClabelText(x=0, y=0, text='', color=None, verticalalignment='baseline', horizontalalignment='left', multialignment=None, fontproperties=None, rotation=None, linespacing=None, rotation_mode=None, usetex=Non... | matplotlib.contour_api |
classmatplotlib.contour.ClabelText(x=0, y=0, text='', color=None, verticalalignment='baseline', horizontalalignment='left', multialignment=None, fontproperties=None, rotation=None, linespacing=None, rotation_mode=None, usetex=None, wrap=False, transform_rotates_text=False, *, parse_math=True, **kwargs)[source]
Bases:... | matplotlib.contour_api#matplotlib.contour.ClabelText |
get_rotation()[source]
Return the text angle in degrees between 0 and 360. | matplotlib.contour_api#matplotlib.contour.ClabelText.get_rotation |
set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, backgroundcolor=<UNSET>, bbox=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, color=<UNSET>, fontfamily=<UNSET>, fontproperties=<UNSET>, fontsize=<UNSET>, fontstretch=<UNSET>, fontstyle=<UNSET>, fontvariant=<UNSET>, fontweight=<UNSET>, gid=<UNSE... | matplotlib.contour_api#matplotlib.contour.ClabelText.set |
classmatplotlib.contour.ContourLabeler[source]
Bases: object Mixin to provide labelling capability to ContourSet. add_label(x, y, rotation, lev, cvalue)[source]
Add contour label using Text class.
add_label_clabeltext(x, y, rotation, lev, cvalue)[source]
Add contour label using ClabelText class.
add_lab... | matplotlib.contour_api#matplotlib.contour.ContourLabeler |
add_label(x, y, rotation, lev, cvalue)[source]
Add contour label using Text class. | matplotlib.contour_api#matplotlib.contour.ContourLabeler.add_label |
add_label_clabeltext(x, y, rotation, lev, cvalue)[source]
Add contour label using ClabelText class. | matplotlib.contour_api#matplotlib.contour.ContourLabeler.add_label_clabeltext |
add_label_near(x, y, inline=True, inline_spacing=5, transform=None)[source]
Add a label near the point (x, y). Parameters
x, yfloat
The approximate location of the label.
inlinebool, default: True
If True remove the segment of the contour beneath the label.
inline_spacingint, default: 5
Space in pixels ... | matplotlib.contour_api#matplotlib.contour.ContourLabeler.add_label_near |
calc_label_rot_and_inline(slc, ind, lw, lc=None, spacing=5)[source]
Calculate the appropriate label rotation given the linecontour coordinates in screen units, the index of the label location and the label width. If lc is not None or empty, also break contours and compute inlining. spacing is the empty space to leave... | matplotlib.contour_api#matplotlib.contour.ContourLabeler.calc_label_rot_and_inline |
clabel(levels=None, *, fontsize=None, inline=True, inline_spacing=5, fmt=None, colors=None, use_clabeltext=False, manual=False, rightside_up=True, zorder=None)[source]
Label a contour plot. Adds labels to line contours in this ContourSet (which inherits from this mixin class). Parameters
levelsarray-like, optiona... | matplotlib.contour_api#matplotlib.contour.ContourLabeler.clabel |
get_label_coords(distances, XX, YY, ysize, lw)[source]
[Deprecated] Return x, y, and the index of a label location. Labels are plotted at a location with the smallest deviation of the contour from a straight line unless there is another label nearby, in which case the next best place on the contour is picked up. If a... | matplotlib.contour_api#matplotlib.contour.ContourLabeler.get_label_coords |
get_label_width(lev, fmt, fsize)[source]
[Deprecated] Return the width of the label in points. Notes Deprecated since version 3.5. | matplotlib.contour_api#matplotlib.contour.ContourLabeler.get_label_width |
get_text(lev, fmt)[source]
Get the text of the label. | matplotlib.contour_api#matplotlib.contour.ContourLabeler.get_text |
labels(inline, inline_spacing)[source] | matplotlib.contour_api#matplotlib.contour.ContourLabeler.labels |
locate_label(linecontour, labelwidth)[source]
Find good place to draw a label (relatively flat part of the contour). | matplotlib.contour_api#matplotlib.contour.ContourLabeler.locate_label |
pop_label(index=- 1)[source]
Defaults to removing last label, but any index can be supplied | matplotlib.contour_api#matplotlib.contour.ContourLabeler.pop_label |
print_label(linecontour, labelwidth)[source]
Return whether a contour is long enough to hold a label. | matplotlib.contour_api#matplotlib.contour.ContourLabeler.print_label |
set_label_props(label, text, color)[source]
Set the label properties - color, fontsize, text. | matplotlib.contour_api#matplotlib.contour.ContourLabeler.set_label_props |
too_close(x, y, lw)[source]
Return whether a label is already near this location. | matplotlib.contour_api#matplotlib.contour.ContourLabeler.too_close |
classmatplotlib.contour.ContourSet(ax, *args, levels=None, filled=False, linewidths=None, linestyles=None, hatches=(None,), alpha=None, origin=None, extent=None, cmap=None, colors=None, norm=None, vmin=None, vmax=None, extend='neither', antialiased=None, nchunk=0, locator=None, transform=None, **kwargs)[source]
Bases... | matplotlib.contour_api#matplotlib.contour.ContourSet |
changed()[source]
Call this whenever the mappable is changed to notify all the callbackSM listeners to the 'changed' signal. | matplotlib.contour_api#matplotlib.contour.ContourSet.changed |
find_nearest_contour(x, y, indices=None, pixel=True)[source]
Find the point in the contour plot that is closest to (x, y). Parameters
x, yfloat
The reference point.
indiceslist of int or None, default: None
Indices of contour levels to consider. If None (the default), all levels are considered.
pixelbool,... | matplotlib.contour_api#matplotlib.contour.ContourSet.find_nearest_contour |
get_alpha()[source]
Return alpha to be applied to all ContourSet artists. | matplotlib.contour_api#matplotlib.contour.ContourSet.get_alpha |
get_transform()[source]
Return the Transform instance used by this ContourSet. | matplotlib.contour_api#matplotlib.contour.ContourSet.get_transform |
legend_elements(variable_name='x', str_format=<class 'str'>)[source]
Return a list of artists and labels suitable for passing through to legend which represent this ContourSet. The labels have the form "0 < x <= 1" stating the data ranges which the artists represent. Parameters
variable_namestr
The string used ... | matplotlib.contour_api#matplotlib.contour.ContourSet.legend_elements |
set_alpha(alpha)[source]
Set the alpha blending value for all ContourSet artists. alpha must be between 0 (transparent) and 1 (opaque). | matplotlib.contour_api#matplotlib.contour.ContourSet.set_alpha |
classmatplotlib.contour.QuadContourSet(ax, *args, levels=None, filled=False, linewidths=None, linestyles=None, hatches=(None,), alpha=None, origin=None, extent=None, cmap=None, colors=None, norm=None, vmin=None, vmax=None, extend='neither', antialiased=None, nchunk=0, locator=None, transform=None, **kwargs)[source]
B... | matplotlib.contour_api#matplotlib.contour.QuadContourSet |
matplotlib.dates Matplotlib provides sophisticated date plotting capabilities, standing on the shoulders of python datetime and the add-on module dateutil. By default, Matplotlib uses the units machinery described in units to convert datetime.datetime, and numpy.datetime64 objects when plotted on a... | matplotlib.dates_api |
classmatplotlib.dates.AutoDateFormatter(locator, tz=None, defaultfmt='%Y-%m-%d', *, usetex=None)[source]
Bases: matplotlib.ticker.Formatter A Formatter which attempts to figure out the best format to use. This is most useful when used with the AutoDateLocator. AutoDateFormatter has a .scale dictionary that maps tick ... | matplotlib.dates_api#matplotlib.dates.AutoDateFormatter |
classmatplotlib.dates.AutoDateLocator(tz=None, minticks=5, maxticks=None, interval_multiples=True)[source]
Bases: matplotlib.dates.DateLocator On autoscale, this class picks the best DateLocator to set the view limits and the tick locations. Attributes
intervalddict
Mapping of tick frequencies to multiples allo... | matplotlib.dates_api#matplotlib.dates.AutoDateLocator |
get_locator(dmin, dmax)[source]
Pick the best locator based on a distance. | matplotlib.dates_api#matplotlib.dates.AutoDateLocator.get_locator |
nonsingular(vmin, vmax)[source]
Given the proposed upper and lower extent, adjust the range if it is too close to being singular (i.e. a range of ~0). | matplotlib.dates_api#matplotlib.dates.AutoDateLocator.nonsingular |
tick_values(vmin, vmax)[source]
Return the values of the located ticks given vmin and vmax. Note To get tick locations with the vmin and vmax values defined automatically for the associated axis simply call the Locator instance: >>> print(type(loc))
<type 'Locator'>
>>> print(loc())
[1, 2, 3, 4] | matplotlib.dates_api#matplotlib.dates.AutoDateLocator.tick_values |
classmatplotlib.dates.ConciseDateConverter(formats=None, zero_formats=None, offset_formats=None, show_offset=True, *, interval_multiples=True)[source]
Bases: matplotlib.dates.DateConverter axisinfo(unit, axis)[source]
Return the AxisInfo for unit. unit is a tzinfo instance or None. The axis argument is required b... | matplotlib.dates_api#matplotlib.dates.ConciseDateConverter |
axisinfo(unit, axis)[source]
Return the AxisInfo for unit. unit is a tzinfo instance or None. The axis argument is required but not used. | matplotlib.dates_api#matplotlib.dates.ConciseDateConverter.axisinfo |
classmatplotlib.dates.ConciseDateFormatter(locator, tz=None, formats=None, offset_formats=None, zero_formats=None, show_offset=True, *, usetex=None)[source]
Bases: matplotlib.ticker.Formatter A Formatter which attempts to figure out the best format to use for the date, and to make it as compact as possible, but still... | matplotlib.dates_api#matplotlib.dates.ConciseDateFormatter |
format_data_short(value)[source]
Return a short string version of the tick value. Defaults to the position-independent long value. | matplotlib.dates_api#matplotlib.dates.ConciseDateFormatter.format_data_short |
format_ticks(values)[source]
Return the tick labels for all the ticks at once. | matplotlib.dates_api#matplotlib.dates.ConciseDateFormatter.format_ticks |
get_offset()[source] | matplotlib.dates_api#matplotlib.dates.ConciseDateFormatter.get_offset |
matplotlib.dates.date2num(d)[source]
Convert datetime objects to Matplotlib dates. Parameters
ddatetime.datetime or numpy.datetime64 or sequences of these
Returns
float or sequence of floats
Number of days since the epoch. See get_epoch for the epoch, which can be changed by rcParams["date.epoch"] (default:... | matplotlib.dates_api#matplotlib.dates.date2num |
classmatplotlib.dates.DateConverter(*, interval_multiples=True)[source]
Bases: matplotlib.units.ConversionInterface Converter for datetime.date and datetime.datetime data, or for date/time data represented as it would be converted by date2num. The 'unit' tag for such data is None or a tzinfo instance. axisinfo(unit... | matplotlib.dates_api#matplotlib.dates.DateConverter |
axisinfo(unit, axis)[source]
Return the AxisInfo for unit. unit is a tzinfo instance or None. The axis argument is required but not used. | matplotlib.dates_api#matplotlib.dates.DateConverter.axisinfo |
staticconvert(value, unit, axis)[source]
If value is not already a number or sequence of numbers, convert it with date2num. The unit and axis arguments are not used. | matplotlib.dates_api#matplotlib.dates.DateConverter.convert |
staticdefault_units(x, axis)[source]
Return the tzinfo instance of x or of its first element, or None | matplotlib.dates_api#matplotlib.dates.DateConverter.default_units |
classmatplotlib.dates.DateFormatter(fmt, tz=None, *, usetex=None)[source]
Bases: matplotlib.ticker.Formatter Format a tick (in days since the epoch) with a strftime format string. Parameters
fmtstr
strftime format string
tzdatetime.tzinfo, default: rcParams["timezone"] (default: 'UTC')
Ticks timezone.
use... | matplotlib.dates_api#matplotlib.dates.DateFormatter |
set_tzinfo(tz)[source] | matplotlib.dates_api#matplotlib.dates.DateFormatter.set_tzinfo |
classmatplotlib.dates.DateLocator(tz=None)[source]
Bases: matplotlib.ticker.Locator Determines the tick locations when plotting dates. This class is subclassed by other Locators and is not meant to be used on its own. Parameters
tzdatetime.tzinfo
datalim_to_dt()[source]
Convert axis data interval to datet... | matplotlib.dates_api#matplotlib.dates.DateLocator |
datalim_to_dt()[source]
Convert axis data interval to datetime objects. | matplotlib.dates_api#matplotlib.dates.DateLocator.datalim_to_dt |
hms0d={'byhour': 0, 'byminute': 0, 'bysecond': 0} | matplotlib.dates_api#matplotlib.dates.DateLocator.hms0d |
nonsingular(vmin, vmax)[source]
Given the proposed upper and lower extent, adjust the range if it is too close to being singular (i.e. a range of ~0). | matplotlib.dates_api#matplotlib.dates.DateLocator.nonsingular |
set_tzinfo(tz)[source]
Set time zone info. | matplotlib.dates_api#matplotlib.dates.DateLocator.set_tzinfo |
viewlim_to_dt()[source]
Convert the view interval to datetime objects. | matplotlib.dates_api#matplotlib.dates.DateLocator.viewlim_to_dt |
matplotlib.dates.datestr2num(d, default=None)[source]
Convert a date string to a datenum using dateutil.parser.parse. Parameters
dstr or sequence of str
The dates to convert.
defaultdatetime.datetime, optional
The default date to use when fields are missing in d. | matplotlib.dates_api#matplotlib.dates.datestr2num |
classmatplotlib.dates.DayLocator(bymonthday=None, interval=1, tz=None)[source]
Bases: matplotlib.dates.RRuleLocator Make ticks on occurrences of each day of the month. For example, 1, 15, 30. Mark every day in bymonthday; bymonthday can be an int or sequence. Default is to tick every day of the month: bymonthday=rang... | matplotlib.dates_api#matplotlib.dates.DayLocator |
matplotlib.dates.drange(dstart, dend, delta)[source]
Return a sequence of equally spaced Matplotlib dates. The dates start at dstart and reach up to, but not including dend. They are spaced by delta. Parameters
dstart, denddatetime
The date limits.
deltadatetime.timedelta
Spacing of the dates. Returns
... | matplotlib.dates_api#matplotlib.dates.drange |
matplotlib.dates.epoch2num(e)[source]
[Deprecated] Convert UNIX time to days since Matplotlib epoch. Parameters
elist of floats
Time in seconds since 1970-01-01. Returns
numpy.array
Time in days since Matplotlib epoch (see get_epoch()). Notes Deprecated since version 3.5. | matplotlib.dates_api#matplotlib.dates.epoch2num |
matplotlib.dates.get_epoch()[source]
Get the epoch used by dates. Returns
epochstr
String for the epoch (parsable by numpy.datetime64). | matplotlib.dates_api#matplotlib.dates.get_epoch |
classmatplotlib.dates.HourLocator(byhour=None, interval=1, tz=None)[source]
Bases: matplotlib.dates.RRuleLocator Make ticks on occurrences of each hour. Mark every hour in byhour; byhour can be an int or sequence. Default is to tick every hour: byhour=range(24) interval is the interval between each iteration. For exa... | matplotlib.dates_api#matplotlib.dates.HourLocator |
classmatplotlib.dates.MicrosecondLocator(interval=1, tz=None)[source]
Bases: matplotlib.dates.DateLocator Make ticks on regular intervals of one or more microsecond(s). Note By default, Matplotlib uses a floating point representation of time in days since the epoch, so plotting data with microsecond time resolution ... | matplotlib.dates_api#matplotlib.dates.MicrosecondLocator |
set_axis(axis)[source] | matplotlib.dates_api#matplotlib.dates.MicrosecondLocator.set_axis |
set_data_interval(vmin, vmax)[source]
[Deprecated] Notes Deprecated since version 3.5: | matplotlib.dates_api#matplotlib.dates.MicrosecondLocator.set_data_interval |
set_view_interval(vmin, vmax)[source]
[Deprecated] Notes Deprecated since version 3.5: | matplotlib.dates_api#matplotlib.dates.MicrosecondLocator.set_view_interval |
tick_values(vmin, vmax)[source]
Return the values of the located ticks given vmin and vmax. Note To get tick locations with the vmin and vmax values defined automatically for the associated axis simply call the Locator instance: >>> print(type(loc))
<type 'Locator'>
>>> print(loc())
[1, 2, 3, 4] | matplotlib.dates_api#matplotlib.dates.MicrosecondLocator.tick_values |
classmatplotlib.dates.MinuteLocator(byminute=None, interval=1, tz=None)[source]
Bases: matplotlib.dates.RRuleLocator Make ticks on occurrences of each minute. Mark every minute in byminute; byminute can be an int or sequence. Default is to tick every minute: byminute=range(60) interval is the interval between each it... | matplotlib.dates_api#matplotlib.dates.MinuteLocator |
classmatplotlib.dates.MonthLocator(bymonth=None, bymonthday=1, interval=1, tz=None)[source]
Bases: matplotlib.dates.RRuleLocator Make ticks on occurrences of each month, e.g., 1, 3, 12. Mark every month in bymonth; bymonth can be an int or sequence. Default is range(1, 13), i.e. every month. interval is the interval ... | matplotlib.dates_api#matplotlib.dates.MonthLocator |
matplotlib.dates.num2date(x, tz=None)[source]
Convert Matplotlib dates to datetime objects. Parameters
xfloat or sequence of floats
Number of days (fraction part represents hours, minutes, seconds) since the epoch. See get_epoch for the epoch, which can be changed by rcParams["date.epoch"] (default: '1970-01-01... | matplotlib.dates_api#matplotlib.dates.num2date |
matplotlib.dates.num2epoch(d)[source]
[Deprecated] Convert days since Matplotlib epoch to UNIX time. Parameters
dlist of floats
Time in days since Matplotlib epoch (see get_epoch()). Returns
numpy.array
Time in seconds since 1970-01-01. Notes Deprecated since version 3.5. | matplotlib.dates_api#matplotlib.dates.num2epoch |
matplotlib.dates.num2timedelta(x)[source]
Convert number of days to a timedelta object. If x is a sequence, a sequence of timedelta objects will be returned. Parameters
xfloat, sequence of floats
Number of days. The fraction part represents hours, minutes, seconds. Returns
datetime.timedelta or list[datet... | matplotlib.dates_api#matplotlib.dates.num2timedelta |
classmatplotlib.dates.relativedelta(dt1=None, dt2=None, years=0, months=0, days=0, leapdays=0, weeks=0, hours=0, minutes=0, seconds=0, microseconds=0, year=None, month=None, day=None, weekday=None, yearday=None, nlyearday=None, hour=None, minute=None, second=None, microsecond=None)
Bases: object The relativedelta typ... | matplotlib.dates_api#matplotlib.dates.relativedelta |
normalized()
Return a version of this object represented entirely using integer values for the relative attributes. >>> relativedelta(days=1.5, hours=2).normalized()
relativedelta(days=+1, hours=+14)
Returns
Returns a dateutil.relativedelta.relativedelta object. | matplotlib.dates_api#matplotlib.dates.relativedelta.normalized |
classmatplotlib.dates.rrule(freq, dtstart=None, interval=1, wkst=None, count=None, until=None, bysetpos=None, bymonth=None, bymonthday=None, byyearday=None, byeaster=None, byweekno=None, byweekday=None, byhour=None, byminute=None, bysecond=None, cache=False)
Bases: dateutil.rrule.rrulebase That's the base of the rrul... | matplotlib.dates_api#matplotlib.dates.rrule |
replace(**kwargs)
Return new rrule with same attributes except for those attributes given new values by whichever keyword arguments are specified. | matplotlib.dates_api#matplotlib.dates.rrule.replace |
classmatplotlib.dates.RRuleLocator(o, tz=None)[source]
Bases: matplotlib.dates.DateLocator Parameters
tzdatetime.tzinfo
staticget_unit_generic(freq)[source]
tick_values(vmin, vmax)[source]
Return the values of the located ticks given vmin and vmax. Note To get tick locations with the vmin and vmax va... | matplotlib.dates_api#matplotlib.dates.RRuleLocator |
staticget_unit_generic(freq)[source] | matplotlib.dates_api#matplotlib.dates.RRuleLocator.get_unit_generic |
tick_values(vmin, vmax)[source]
Return the values of the located ticks given vmin and vmax. Note To get tick locations with the vmin and vmax values defined automatically for the associated axis simply call the Locator instance: >>> print(type(loc))
<type 'Locator'>
>>> print(loc())
[1, 2, 3, 4] | matplotlib.dates_api#matplotlib.dates.RRuleLocator.tick_values |
classmatplotlib.dates.SecondLocator(bysecond=None, interval=1, tz=None)[source]
Bases: matplotlib.dates.RRuleLocator Make ticks on occurrences of each second. Mark every second in bysecond; bysecond can be an int or sequence. Default is to tick every second: bysecond = range(60) interval is the interval between each ... | matplotlib.dates_api#matplotlib.dates.SecondLocator |
matplotlib.dates.set_epoch(epoch)[source]
Set the epoch (origin for dates) for datetime calculations. The default epoch is rcParams["dates.epoch"] (by default 1970-01-01T00:00). If microsecond accuracy is desired, the date being plotted needs to be within approximately 70 years of the epoch. Matplotlib internally rep... | matplotlib.dates_api#matplotlib.dates.set_epoch |
classmatplotlib.dates.WeekdayLocator(byweekday=1, interval=1, tz=None)[source]
Bases: matplotlib.dates.RRuleLocator Make ticks on occurrences of each weekday. Mark every weekday in byweekday; byweekday can be a number or sequence. Elements of byweekday must be one of MO, TU, WE, TH, FR, SA, SU, the constants from dat... | matplotlib.dates_api#matplotlib.dates.WeekdayLocator |
classmatplotlib.dates.YearLocator(base=1, month=1, day=1, tz=None)[source]
Bases: matplotlib.dates.RRuleLocator Make ticks on a given day of each year that is a multiple of base. Examples: # Tick every year on Jan 1st
locator = YearLocator()
# Tick every 5 years on July 4th
locator = YearLocator(5, month=7, day=4)
... | matplotlib.dates_api#matplotlib.dates.YearLocator |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.