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Hướng dẫn dùng colorbar python python

matplotlib colorbar là gì? Thông tin tổng quan, bảng giá, hướng dẫn sử dụng, reviews và đánh giá tính năng phần mềm matplotlib colorbar. Những phần mềm thay thế matplotlib colorbar dùng trong lĩnh vực Python Package Software, ưu nhược điểm và so sánh? Xem thông tin tham khảo dưới đây!

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Provides a new artist for matplotlib to display a colorbar, instead of an axis as it is the default in matplotlib. The position of the colorbar artist can be decided as for the legend.

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Danh sách những phần mềm chức năng tương tự / phần mềm thay thế matplotlib colorbar

    matplotlib.pyplot.colorbar(mappable=None, cax=None, ax=None, **kw)[source]#

    Add a colorbar to a plot.


    The (i.e., AxesImage, ContourSet, etc.) described by this colorbar. This argument is mandatory for the Figure.colorbar method but optional for the pyplot.colorbar function, which sets the default to the current image.

    Note that one can create a ScalarMappable "on-the-fly" to generate colorbars not attached to a previously drawn artist, e.g.

    fig.colorbar(cm.ScalarMappable(norm=norm, cmap=cmap), ax=ax)
    caxAxes, optional

    Axes into which the colorbar will be drawn.

    axAxes, list of Axes, optional

    One or more parent axes from which space for a new colorbar axes will be stolen, if cax is None. This has no effect if cax is set.

    use_gridspecbool, optional

    If cax is None, a new cax is created as an instance of Axes. If ax is an instance of Subplot and use_gridspec is True, cax is created as an instance of Subplot using the gridspec module.



    Additional keyword arguments are of two kinds:

    axes properties:

    locationNone or {'left', 'right', 'top', 'bottom'}

    The location, relative to the parent axes, where the colorbar axes is created. It also determines the orientation of the colorbar (colorbars on the left and right are vertical, colorbars at the top and bottom are horizontal). If None, the location will come from the orientation if it is set (vertical colorbars on the right, horizontal ones at the bottom), or default to 'right' if orientation is unset.

    orientationNone or {'vertical', 'horizontal'}

    The orientation of the colorbar. It is preferable to set the location of the colorbar, as that also determines the orientation; passing incompatible values for location and orientation raises an exception.

    fractionfloat, default: 0.15

    Fraction of original axes to use for colorbar.

    shrinkfloat, default: 1.0

    Fraction by which to multiply the size of the colorbar.

    aspectfloat, default: 20

    Ratio of long to short dimensions.

    padfloat, default: 0.05 if vertical, 0.15 if horizontal

    Fraction of original axes between colorbar and new image axes.

    anchor(float, float), optional

    The anchor point of the colorbar axes. Defaults to (0.0, 0.5) if vertical; (0.5, 1.0) if horizontal.

    panchor(float, float), or False, optional

    The anchor point of the colorbar parent axes. If False, the parent axes' anchor will be unchanged. Defaults to (1.0, 0.5) if vertical; (0.5, 0.0) if horizontal.

    colorbar properties:




    {'neither', 'both', 'min', 'max'} If not 'neither', make pointed end(s) for out-of- range values. These are set for a given colormap using the colormap set_under and set_over methods.


    {None, 'auto', length, lengths} If set to None, both the minimum and maximum triangular colorbar extensions with have a length of 5% of the interior colorbar length (this is the default setting). If set to 'auto', makes the triangular colorbar extensions the same lengths as the interior boxes (when spacing is set to 'uniform') or the same lengths as the respective adjacent interior boxes (when spacing is set to 'proportional'). If a scalar, indicates the length of both the minimum and maximum triangular colorbar extensions as a fraction of the interior colorbar length. A two-element sequence of fractions may also be given, indicating the lengths of the minimum and maximum colorbar extensions respectively as a fraction of the interior colorbar length.


    bool If False the minimum and maximum colorbar extensions will be triangular (the default). If True the extensions will be rectangular.


    {'uniform', 'proportional'} Uniform spacing gives each discrete color the same space; proportional makes the space proportional to the data interval.


    None or list of ticks or Locator If None, ticks are determined automatically from the input.


    None or str or Formatter If None, ScalarFormatter is used. If a format string is given, e.g., '%.3f', that is used. An alternative Formatter may be given instead.


    bool Whether to draw lines at color boundaries.


    str The label on the colorbar's long axis.

    The following will probably be useful only in the context of indexed colors (that is, when the mappable has norm=NoNorm()), or other unusual circumstances.




    None or a sequence


    None or a sequence which must be of length 1 less than the sequence of boundaries. For each region delimited by adjacent entries in boundaries, the colormapped to the corresponding value in values will be used.

    If mappable is a ContourSet, its extend kwarg is included automatically.

    The shrink kwarg provides a simple way to scale the colorbar with respect to the axes. Note that if cax is specified, it determines the size of the colorbar and shrink and aspect kwargs are ignored.

    For more precise control, you can manually specify the positions of the axes objects in which the mappable and the colorbar are drawn. In this case, do not use any of the axes properties kwargs.

    It is known that some vector graphics viewers (svg and pdf) renders white gaps between segments of the colorbar. This is due to bugs in the viewers, not Matplotlib. As a workaround, the colorbar can be rendered with overlapping segments:

    cbar = colorbar()

    However this has negative consequences in other circumstances, e.g. with semi-transparent images (alpha < 1) and colorbar extensions; therefore, this workaround is not used by default (see issue #1188).

    Examples using matplotlib.pyplot.colorbar#

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