ipyvasp.core.plot_toolkit

Functions

add_colorbar(ax[, cmap_or_clist, N, ticks, ...])	Plots colorbar on a given axes.
add_legend([ax, colors, labels, styles, ...])	Adds custom legeneds on a given axes, returns None.
add_text([ax, xs, ys, txts, colors, transform])	Adds text entries on axes, given single string or list.
adjust_axes([ax, xticks, xticklabels, xlim, ...])	Applies given settings on axes obect and returns None.
append_axes(ax[, position, size, pad, ...])	Append an axes to the given ax at given position top,right,left,bottom.
break_spines(ax, spines[, symbol])	Simulates broken axes using subplots.
color_cube(ax[, colormap, loc, size, N, ...])	Color-mapped hexagon that serves as a legend for splot_rgb_lines
color_wheel([ax, xy, scale, rlim, N, ...])	Returns cax i.e. color wheel axes.
get_axes([figsize, nrows, ncols, widths, ...])	Returns axes of initialized figure, based on plt.subplots().
global_matplotlib_settings([rcParams, ...])	Set global matplotlib settings for notebook.
image2plt(image_or_fname[, ax, crop, cmap, ...])	Plot PIL image, numpy array or image file on given matploltib axes.
iplot2html(fig[, outfile, modebar])	Writes plotly's figure as HTML file or display in IPython which is accessible when online.
iplot2widget(fig[, fig_widget, template])	Converts plotly's figure to FigureWidget by copying attributes and data.
join_axes(ax1, ax2, **kwargs)	Join two axes together.
plt2html([plt_fig, transparent])	Returns ipython.display.HTML(<svg of figure>).
plt2text([plt_fig, width, vscale, colorful, ...])	Displays matplotlib figure in terminal as text.
quiver3d(X, Y, Z, U, V, W[, ax, C, L, ...])	Plots 3D arrows on a given ax.
webshow([transparent])	Displays all available figures in browser without blocking terminal