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mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes

mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes(parent_axes, zoom, loc='upper right', bbox_to_anchor=None, bbox_transform=None, axes_class=None, axes_kwargs=None, borderpad=0.5)[source]

Create an anchored inset axes by scaling a parent axes. For usage, also see the examples.

Parameters:
parent_axes : matplotlib.axes.Axes

Axes to place the inset axes.

zoom : float

Scaling factor of the data axes. zoom > 1 will enlargen the coordinates (i.e., "zoomed in"), while zoom < 1 will shrink the coordinates (i.e., "zoomed out").

loc : int or string, optional, default to 1

Location to place the inset axes. The valid locations are:

'upper right'  : 1,
'upper left'   : 2,
'lower left'   : 3,
'lower right'  : 4,
'right'        : 5,
'center left'  : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center'       : 10
bbox_to_anchor : tuple or matplotlib.transforms.BboxBase, optional

Bbox that the inset axes will be anchored to. If None, parent_axes.bbox is used. If a tuple, can be either [left, bottom, width, height], or [left, bottom]. If the kwargs width and/or height are specified in relative units, the 2-tuple [left, bottom] cannot be used. Note that the units of the bounding box are determined through the transform in use. When using bbox_to_anchor it almost always makes sense to also specify a bbox_transform. This might often be the axes transform parent_axes.transAxes.

bbox_transform : matplotlib.transforms.Transform, optional

Transformation for the bbox that contains the inset axes. If None, a transforms.IdentityTransform is used (i.e. pixel coordinates). This is useful when not providing any argument to bbox_to_anchor. When using bbox_to_anchor it almost always makes sense to also specify a bbox_transform. This might often be the axes transform parent_axes.transAxes. Inversely, when specifying the axes- or figure-transform here, be aware that not specifying bbox_to_anchor will use parent_axes.bbox, the units of which are in display (pixel) coordinates.

axes_class : matplotlib.axes.Axes type, optional

If specified, the inset axes created will be created with this class's constructor.

axes_kwargs : dict, optional

Keyworded arguments to pass to the constructor of the inset axes. Valid arguments include:

Property Description
adjustable {'box', 'datalim'}
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha float
anchor 2-tuple of floats or {'C', 'SW', 'S', 'SE', ...}
animated bool
aspect {'auto', 'equal'} or num
autoscale_on bool
autoscalex_on bool
autoscaley_on bool
axes_locator Callable[[Axes, Renderer], Bbox]
axisbelow bool or 'line'
clip_box Bbox
clip_on bool
clip_path [(Path, Transform) | Patch | None]
contains callable
facecolor color
fc color
figure Figure
frame_on bool
gid str
in_layout bool
label object
navigate bool
navigate_mode unknown
path_effects AbstractPathEffect
picker None or bool or float or callable
position [left, bottom, width, height] or Bbox
rasterization_zorder float or None
rasterized bool or None
sketch_params (scale: float, length: float, randomness: float)
snap bool or None
title str
transform Transform
url str
visible bool
xbound unknown
xlabel str
xlim (left: float, right: float)
xmargin float greater than -0.5
xscale {"linear", "log", "symlog", "logit", ...}
xticklabels List[str]
xticks list
ybound unknown
ylabel str
ylim (bottom: float, top: float)
ymargin float greater than -0.5
yscale {"linear", "log", "symlog", "logit", ...}
yticklabels List[str]
yticks list
zorder float
borderpad : float, optional

Padding between inset axes and the bbox_to_anchor. Defaults to 0.5. The units are axes font size, i.e. for a default font size of 10 points borderpad = 0.5 is equivalent to a padding of 5 points.

Returns:
inset_axes : axes_class

Inset axes object created.

Examples using mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes