colormaps module

Module for commonly used colormaps and palettes for visualizing Earth Engine data.

get_palette(cmap_name=None, n_class=None)

Get a palette from a matplotlib colormap. See the list of colormaps at https://matplotlib.org/stable/tutorials/colors/colormaps.html.

Parameters:

Name	Type	Description	Default
cmap_name	str	The name of the matplotlib colormap. Defaults to None.	None
n_class	int	The number of colors. Defaults to None.	None

Returns:

Type	Description
list	A list of hex colors.

Source code in geemap/colormaps.py

def get_palette(cmap_name=None, n_class=None):
    """Get a palette from a matplotlib colormap. See the list of colormaps at https://matplotlib.org/stable/tutorials/colors/colormaps.html.

    Args:
        cmap_name (str, optional): The name of the matplotlib colormap. Defaults to None.
        n_class (int, optional): The number of colors. Defaults to None.

    Returns:
        list: A list of hex colors.
    """
    cmap = plt.cm.get_cmap(cmap_name, n_class)
    colors = [mpl.colors.rgb2hex(cmap(i))[1:] for i in range(cmap.N)]
    return colors

list_colormaps()

List all available colormaps. See a complete lost of colormaps at https://matplotlib.org/stable/tutorials/colors/colormaps.html.

Returns:

Type	Description
list	The list of colormap names.

Source code in geemap/colormaps.py

def list_colormaps():
    """List all available colormaps. See a complete lost of colormaps at https://matplotlib.org/stable/tutorials/colors/colormaps.html.

    Returns:
        list: The list of colormap names.
    """
    return plt.colormaps()

plot_colormap(cmap, width=8.0, height=0.4, orientation='horizontal', axis_off=True, show_name=False, font_size=12)

Plot a colormap.

Parameters:

Name	Type	Description	Default
cmap	str	The name of the colormap.	required
width	float	The width of the colormap. Defaults to 8.0.	8.0
height	float	The height of the colormap. Defaults to 0.4.	0.4
orientation	str	The orientation of the colormap. Defaults to "horizontal".	'horizontal'
axis_off	bool	Whether to turn axis off. Defaults to True.	True
show_name	bool	Whether to show the colormap name. Defaults to False.	False
font_size	int	Font size of the text. Defaults to 12.	12

Source code in geemap/colormaps.py

def plot_colormap(
    cmap,
    width=8.0,
    height=0.4,
    orientation="horizontal",
    axis_off=True,
    show_name=False,
    font_size=12,
):
    """Plot a colormap.

    Args:
        cmap (str): The name of the colormap.
        width (float, optional): The width of the colormap. Defaults to 8.0.
        height (float, optional): The height of the colormap. Defaults to 0.4.
        orientation (str, optional): The orientation of the colormap. Defaults to "horizontal".
        axis_off (bool, optional): Whether to turn axis off. Defaults to True.
        show_name (bool, optional): Whether to show the colormap name. Defaults to False.
        font_size (int, optional): Font size of the text. Defaults to 12.
    """
    fig, ax = plt.subplots(figsize=(width, height))
    col_map = plt.get_cmap(cmap)

    mpl.colorbar.ColorbarBase(ax, cmap=col_map, orientation=orientation)
    if axis_off:
        ax.set_axis_off()

    if show_name:
        pos = list(ax.get_position().bounds)
        x_text = pos[0] - 0.01
        y_text = pos[1] + pos[3] / 2.0
        fig.text(x_text, y_text, cmap, va="center", ha="right", fontsize=font_size)

    plt.show()

plot_colormaps(width=8.0, height=0.4)

Plot all availabe colormaps.

Parameters:

Name	Type	Description	Default
width	float	Width of the colormap. Defaults to 8.0.	8.0
height	float	Height of the colormap. Defaults to 0.4.	0.4

Source code in geemap/colormaps.py

def plot_colormaps(width=8.0, height=0.4):
    """Plot all availabe colormaps.

    Args:
        width (float, optional): Width of the colormap. Defaults to 8.0.
        height (float, optional): Height of the colormap. Defaults to 0.4.
    """
    cmap_list = list_colormaps()
    nrows = len(cmap_list)
    fig, axes = plt.subplots(nrows=nrows, figsize=(width, height * nrows))
    fig.subplots_adjust(top=0.95, bottom=0.01, left=0.2, right=0.99)

    gradient = np.linspace(0, 1, 256)
    gradient = np.vstack((gradient, gradient))

    for ax, name in zip(axes, cmap_list):
        ax.imshow(gradient, aspect="auto", cmap=plt.get_cmap(name))
        ax.set_axis_off()
        pos = list(ax.get_position().bounds)
        x_text = pos[0] - 0.01
        y_text = pos[1] + pos[3] / 2.0
        fig.text(x_text, y_text, name, va="center", ha="right", fontsize=12)

    # Turn off *all* ticks & spines, not just the ones with colormaps.
    for ax in axes:
        ax.set_axis_off()

    plt.show()

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Last update: 2021-02-25