marsilea.plotter.ColorMesh

class ColorMesh(data, cmap=None, norm=None, vmin=None, vmax=None, mask=None, center=None, alpha=None, linewidth=None, linecolor=None, annot=None, fmt=None, annot_kws=None, cbar_kws=None, label=None, label_loc=None, label_props=None, **kwargs)

Bases: MeshBase

Continuous Heatmap

Parameters:

datanp.ndarray, pd.DataFrame

2D data

cmapstr or matplotlib.colors.Colormap

The colormap used to map the value to the color

normmatplotlib.colors.Normalize

A Normalize instance to map data

vmin, vmaxnumber, optional

Value to determine the value mapping behavior

centernumber, optional

The value to center on colormap, notice that this is different from seaborn; If set, a matplotlib.colors.TwoSlopeNorm will be used to center the colormap.

maskarray-like

A bool matrix indicates which cell will be masked and not rendered

alphafloat

The transparency value

linewidthfloat

The width of grid line

linecolorcolor

The color of grid line

annotbool, array-like

Whether to show the value / The text to show in each cell

fmtstr, callable

The format string or a function to format the value

annot_kwsdict

See matplotlib.text.Text

cbar_kwsdict

See matplotlib.colorbar.Colorbar,

labelstr

The label of the plot, only show if added to the side plot

label_loc{‘top’, ‘bottom’, ‘left’, ‘right’}

Where to add the label

label_propsdict

See matplotlib.text.Text

kwargs

See also

marsilea.Heatmap

Examples

>>> import marsilea as ma
>>> from marsilea.plotter import ColorMesh
>>> _, ax = plt.subplots(figsize=(5, 0.5))
>>> ColorMesh(np.arange(10), cmap="Blues").render(ax)

>>> data = np.random.randn(10, 8)
>>> h = ma.Heatmap(data)
>>> h.cut_rows(cut=[5])
>>> h.add_dendrogram("left")
>>> cmap1, cmap2 = "Purples", "Greens"
>>> colors1 = ColorMesh(np.arange(10) + 1, cmap=cmap1, label=cmap1, annot=True)
>>> colors2 = ColorMesh(np.arange(10) + 1, cmap=cmap2, label=cmap2)
>>> h.add_right(colors1, size=0.2, pad=0.05)
>>> h.add_right(colors2, size=0.2, pad=0.05)
>>> h.render()