![]() ![]() The () function clears the current Axes state without closing the Axes. An Axes has at least an X-Axis and a Y-Axis, and may have a Z-Axis. It is the data plotting area in which most of the elements in a plot are located, including Axis, Tick, Line2D, Text, etc., and it also sets the coordinates. A Figure with the same elements cleared with the clf() function:Īxes is a container class within the top-level Figure container. A Figure not cleared with the clf() function:įigure 2. The following example shows how to create two identical Figures simultaneously, and then apply the clf() function only to Figure 2: import matplotlib.pyplot as pltįigure 1. You can use the () function to clear the current Figure’s state. Figure includes everything visualized in a plot, including one or more Axes. Used to clear the current Axes state without closing it.įigure is the top-level container object in a matplotlib plot. Used to clear the current Figure’s state without closing it. There are two methods available for this purpose: This article focuses on how to clear a plot by clearing the current Axes and Figure state of a plot, without closing the plot window. Matplotlib’s pyplot API is stateful, which means that it stores the state of objects until a method is encountered that will clear the current state. Matplotlib is a data visualization and graphical plotting library for Python. ![]() text ( pos_group, values + TEXT_MARGIN, f ' plt. append ( metric ) for k in range ( len ( values )): ax. bar ( pos_group, yvalues, width = width, edgecolor = cfg. Axes = None, title : str = '', xlabel : str = '', ylabel : str = '', percentage : bool = False ): ax = set_elements ( ax = ax, title = title, xlabel = xlabel, ylabel = ylabel, percentage = percentage ) ngroups = len ( xvalues ) nseries = len ( yvalues ) pos_group = arange ( ngroups ) series_width = pos_group - pos_group width = series_width / nseries - 0.1 * series_width pos_center = pos_group + series_width / 2 - 0.05 * series_width pos_group = pos_group + width / 2 i = 0 legend = for metric in yvalues : plt. set_xticks ( xvalues ) return Noneĭef multiple_bar_chart ( xvalues : list, yvalues : dict, ax : plt. set_xticklabels ( xvalues, fontsize = 'small', ha = 'center' ) return None else : ax. set_xticklabels ( xvalues, rotation = '90', fontsize = 'small', ha = 'center' ) else : ax. set_xticks ( arange ( len ( xvalues ))) if rotation : ax. set_major_formatter ( AutoDateFormatter ( locator, defaultfmt = '%Y-%m- %d ' )) return None elif isinstance ( xvalues, str ): ax. Axes = None, rotation : bool = False ): if isinstance ( xvalues, datetime ): locator = AutoDateLocator () ax. set_ylim ( 0.0, 1.0 ) return ax from numpy import arange from datetime import datetime from matplotlib.dates import AutoDateLocator, AutoDateFormatter def set_locators ( xvalues : list, ax : plt. set_ylabel ( ylabel ) if percentage : ax. ![]() Axes = None, title : str = '', xlabel : str = '', ylabel : str = '', percentage : bool = False ): if ax is None : ax = plt. From matplotlib.font_manager import FontProperties FONT_TEXT = FontProperties ( size = 6 ) TEXT_MARGIN = 0.05 NR_COLUMNS : int = 3 HEIGHT : int = 4 WIDTH_PER_VARIABLE : int = 0.5 def choose_grid ( nr ): if nr < NR_COLUMNS : return 1, nr else : return ( nr // NR_COLUMNS, NR_COLUMNS ) if nr % NR_COLUMNS = 0 else ( nr // NR_COLUMNS + 1, NR_COLUMNS ) def set_elements ( ax : plt. ![]()
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