44 matplotlib axes label

matplotlib.axes.Axes.text — Matplotlib 3.6.2 documentation Property. Description. agg_filter. a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image matplotlib.axes.Axes.plot — Matplotlib 3.6.2 documentation The coordinates of the points or line nodes are given by x, y.. The optional parameter fmt is a convenient way for defining basic formatting like color, marker and linestyle. It's a shortcut string notation described in the Notes section below. >>> plot (x, y) # plot x and y using default line style and color >>> plot (x, y, 'bo') # plot x and y using blue circle markers >>> plot (y) # plot y ...

matplotlib.axes.Axes.scatter — Matplotlib 3.6.2 documentation Notes. The plot function will be faster for scatterplots where markers don't vary in size or color.. Any or all of x, y, s, and c may be masked arrays, in which case all masks will be combined and only unmasked points will be plotted.. Fundamentally, scatter works with 1D arrays; x, y, s, and c may be input as N-D arrays, but within scatter they will be flattened.

Matplotlib axes label

matplotlib.axes.Axes.hist — Matplotlib 3.6.2 documentation The data input x can be a singular array, a list of datasets of potentially different lengths ([x0, x1, ...]), or a 2D ndarray in which each column is a dataset.Note that the ndarray form is transposed relative to the list form. If the input is an array, then the return value is a tuple (n, bins, patches); if the input is a sequence of arrays, then the return value is a tuple ([n0, n1 ... matplotlib.axes.Axes.set_ylabel — Matplotlib 3.6.2 documentation matplotlib.axes.Axes.set_ylabel# Axes. set_ylabel (ylabel, fontdict = None, labelpad = None, *, loc = None, ** kwargs) [source] # Set the label for the y-axis ... matplotlib.axes.Axes.bar_label — Matplotlib 3.6.2 documentation matplotlib; matplotlib.afm; matplotlib.animation. matplotlib.animation.Animation; matplotlib.animation.FuncAnimation; matplotlib.animation.ArtistAnimation

Matplotlib axes label. matplotlib.axes.Axes.stem — Matplotlib 3.6.2 documentation matplotlib.axes.Axes.stem# Axes. stem (*args, linefmt=None, markerfmt=None, basefmt=None, bottom=0, label=None, use_line_collection=, orientation='vertical', data=None) [source] # Create a stem plot. A stem plot draws lines perpendicular to a baseline at each location locs from the baseline to heads, and places a marker there.For vertical stem … matplotlib.axes.Axes.set_xlabel — Matplotlib 3.6.2 documentation matplotlib.axes.Axes.set_xlabel# Axes. set_xlabel (xlabel, fontdict = None, labelpad = None, *, loc = None, ** kwargs) [source] # Set the label for the x-axis ... matplotlib.axes.Axes.quiver — Matplotlib 3.6.2 documentation width float, optional. Shaft width in arrow units. All head parameters are relative to width.. The default depends on choice of units above, and number of vectors; a typical starting value is about 0.005 times the width of the plot.. headwidth float, default: 3. Head width as multiple of shaft width.See the notes below. matplotlib.axes.Axes.tick_params — Matplotlib 3.6.2 documentation matplotlib.axes.Axes.tick_params# Axes. tick_params (axis = 'both', ** kwargs) [source] # Change the appearance of ticks, tick labels, and gridlines. Tick properties that are not explicitly set using the keyword arguments remain unchanged unless reset is True.. Parameters:

matplotlib.axes — Matplotlib 3.6.2 documentation The Axes class # class matplotlib.axes. Axes (fig, rect, *, facecolor = None, frameon = True, sharex = None, sharey = None, label = '', xscale = None, yscale = None, box_aspect = None, ** kwargs) [source] #. Bases: _AxesBase The Axes contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system.. The Axes instance supports … matplotlib.axes.Axes.imshow — Matplotlib 3.6.2 documentation Notes. Unless extent is used, pixel centers will be located at integer coordinates. In other words: the origin will coincide with the center of pixel (0, 0). There are two common representations for RGB images with an alpha channel: matplotlib.axes.Axes.annotate — Matplotlib 3.6.2 documentation matplotlib.axes.Axes.annotate# Axes. annotate (text, xy, xytext = None, xycoords = 'data', textcoords = None, arrowprops = None, annotation_clip = None, ** kwargs) [source] # Annotate the point xy with text text.. In the simplest form, the text is placed at xy.. Optionally, the text can be displayed in another position xytext.An arrow pointing from the text to the annotated point xy … matplotlib.axes.Axes.contourf — Matplotlib 3.6.2 documentation contour and contourf draw contour lines and filled contours, respectively. Except as noted, function signatures and return values are the same for both versions. Parameters: X, Y array-like, optional. The coordinates of the values in Z.. X and Y must both be 2D with the same shape as Z (e.g. created via numpy.meshgrid), or they must both be 1-D such that len(X) == N is the …

matplotlib.axes.Axes.set_title — Matplotlib 3.6.2 documentation matplotlib.axes.Axes.set_title# Axes. set_title (label, fontdict = None, loc = None, pad = None, *, y = None, ** kwargs) [source] # Set a title for the Axes. Set one of the three available Axes titles. matplotlib.axes.Axes.bar_label — Matplotlib 3.6.2 documentation matplotlib; matplotlib.afm; matplotlib.animation. matplotlib.animation.Animation; matplotlib.animation.FuncAnimation; matplotlib.animation.ArtistAnimation matplotlib.axes.Axes.set_ylabel — Matplotlib 3.6.2 documentation matplotlib.axes.Axes.set_ylabel# Axes. set_ylabel (ylabel, fontdict = None, labelpad = None, *, loc = None, ** kwargs) [source] # Set the label for the y-axis ... matplotlib.axes.Axes.hist — Matplotlib 3.6.2 documentation The data input x can be a singular array, a list of datasets of potentially different lengths ([x0, x1, ...]), or a 2D ndarray in which each column is a dataset.Note that the ndarray form is transposed relative to the list form. If the input is an array, then the return value is a tuple (n, bins, patches); if the input is a sequence of arrays, then the return value is a tuple ([n0, n1 ...

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