From 297183bef92cd703db1dd8e821505fc042099296 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Tue, 24 Nov 2020 13:31:28 -0500 Subject: [PATCH 01/10] pass through line2D kwargs everywhere --- examples/Lotka-Volterra.ipynb | 9 ++--- examples/rossler-attractor.ipynb | 25 ++++++++------ mpl_interactions/mpl_kwargs.py | 59 +++++++++++++++++++++++++------- mpl_interactions/pyplot.py | 20 ++++++++--- 4 files changed, 81 insertions(+), 32 deletions(-) diff --git a/examples/Lotka-Volterra.ipynb b/examples/Lotka-Volterra.ipynb index 73ae649e..19267424 100644 --- a/examples/Lotka-Volterra.ipynb +++ b/examples/Lotka-Volterra.ipynb @@ -38,13 +38,14 @@ "t = np.linspace(0, 15, 1000) # time\n", "X0 = np.array([10, 5]) # initials conditions: 10 rabbits and 5 foxes\n", "\n", + "# use `c_` instead of `c` because `c` is an argument to plt.scatter\n", "\n", - "def f(a, b, c, d):\n", + "def f(a, b, c_, d):\n", " def dX_dt(X, t=0):\n", " \"\"\" Return the growth rate of fox and rabbit populations. \"\"\"\n", " rabbits, foxes = X\n", " dRabbit_dt = a * rabbits - b * foxes * rabbits\n", - " dFox_dt = -c * foxes + d * b * rabbits * foxes\n", + " dFox_dt = -c_ * foxes + d * b * rabbits * foxes\n", " return [dRabbit_dt, dFox_dt]\n", "\n", " X, _ = integrate.odeint(dX_dt, X0, t, full_output=True)\n", @@ -70,7 +71,7 @@ "source": [ "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(10, 4.8))\n", "controls = iplt.plot(\n", - " f, ax=ax1, a=(0.5, 2), b=(0.1, 3), c=(1, 3), d=(0.1, 2), parametric=True\n", + " f, ax=ax1, a=(0.5, 2), b=(0.1, 3), c_=(1, 3), d=(0.1, 2), parametric=True\n", ")\n", "ax1.set_xlabel(\"rabbits\")\n", "ax1.set_ylabel(\"foxes\")\n", @@ -118,7 +119,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.8" + "version": "3.9.0" } }, "nbformat": 4, diff --git a/examples/rossler-attractor.ipynb b/examples/rossler-attractor.ipynb index c3c74da1..b1e568bd 100644 --- a/examples/rossler-attractor.ipynb +++ b/examples/rossler-attractor.ipynb @@ -21,6 +21,7 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from scipy.integrate import solve_ivp\n", + "from functools import lru_cache\n", "\n", "import mpl_interactions.ipyplot as iplt" ] @@ -39,7 +40,12 @@ "\n", "\n", "### Caching\n", - "One thing to note here is that `mpl_interactions` will cache function calls for a given set of parameters so that the same function isn't called multiple times if you are plotting it on multiple axes. However, that cache will not persist as the parameters are modified. So here we can build in our own cache to speed up execution" + "One thing to note here is that `mpl_interactions` will cache function calls for a given set of parameters so that the same function isn't called multiple times if you are plotting it on multiple axes. However, that cache will not persist as the parameters are modified. So here we build in our own cache to speed up execution\n", + "\n", + "### kwarg collisions\n", + "\n", + "\n", + "We can't use the `c` argument to `f` as `c` is reserved by `plot` (and `scatter` and other functions) by matplotlib in order to control the colors of the plot." ] }, { @@ -54,18 +60,17 @@ "y0 = 0\n", "z0 = 0\n", "\n", - "cache = {}\n", - "\n", "\n", - "def f(a, b, c):\n", + "cache = {}\n", + "def f(a, b, c_):\n", " def deriv(t, cur_pos):\n", " x, y, z = cur_pos\n", " dxdt = -y - z\n", " dydt = x + a * y\n", - " dzdt = b + z * (x - c)\n", + " dzdt = b + z * (x - c_)\n", " return [dxdt, dydt, dzdt]\n", "\n", - " id_ = (float(a), float(b), float(c))\n", + " id_ = (float(a), float(b), float(c_))\n", " if id_ not in cache:\n", " out = solve_ivp(deriv, t_span, y0=[x0, y0, z0], t_eval=t_eval).y[:2]\n", " cache[id_] = out\n", @@ -86,7 +91,7 @@ " \".-\",\n", " a=(0.05, 0.3, 1000),\n", " b=0.2,\n", - " c=(1, 20),\n", + " c_=(1, 20), # we can't use `c` because that is a kwarg for matplotlib that controls color\n", " parametric=True,\n", " alpha=0.5,\n", " play_buttons=True,\n", @@ -103,9 +108,7 @@ "## Coloring by time point\n", "\n", "When we plot using `plot` we can't choose colors for individual points, so we can use the `scatter` function to color the points by the time point they have.\n", - "\n", - "\n", - "The only difference to the function we used for plot is that we had to rename the `c` argument to `f` as `c` is reserved by `scatter` for setting the colors of the points." + "\n" ] }, { @@ -186,7 +189,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.5" + "version": "3.9.0" } }, "nbformat": 4, diff --git a/mpl_interactions/mpl_kwargs.py b/mpl_interactions/mpl_kwargs.py index 44fe05cc..cdac3460 100644 --- a/mpl_interactions/mpl_kwargs.py +++ b/mpl_interactions/mpl_kwargs.py @@ -1,27 +1,60 @@ # this is a list of options to Line2D partially taken from # https://github.com/matplotlib/matplotlib/blob/f9d29189507cfe4121a231f6ab63539d216c37bd/lib/matplotlib/lines.py#L271 # many of these can also be made into functions -plot_kwargs_list = [ +# also taken from the docstring of plt.axvline which lists all the properties of Line2D +Line2D_kwargs_list = [ + "agg_filter", "alpha", - "linewidth", - "linestyle", + "animated", + "antialiased", + "aa", + "clip_box", + "clip_on", + "clip_path", "color", + "c", + "contains", + "dash_capstyle", + "dash_joinstyle", + "dashes", + "data", + "drawstyle", + "ds", + "figure", + "fillstyle", + "gid", + "in_layout", + "label", + "linestyle", + "ls", + "linewidth", + "lw", "marker", - "markersize", - "markeredgewidth", "markeredgecolor", + "mec", + "markeredgewidth", + "mew", "markerfacecolor", + "mfc", "markerfacecoloralt", - "fillstyle", - "antialiased", - "dash_capstyle", + "mfcalt", + "markersize", + "ms", + "markevery", + "path_effects", + "picker", + "pickradius", + "rasterized", + "sketch_params", + "snap", "solid_capstyle", - "dash_joinstyle", "solid_joinstyle", - "pickradius", - "drawstyle", - "markevery", - "label", + "transform", + "url", + "visible", + "xdata", + "ydata", + "zorder", ] imshow_kwargs_list = [ diff --git a/mpl_interactions/pyplot.py b/mpl_interactions/pyplot.py index 77e4425a..188026b9 100644 --- a/mpl_interactions/pyplot.py +++ b/mpl_interactions/pyplot.py @@ -24,7 +24,7 @@ notebook_backend, update_datalim_from_bbox, ) -from .mpl_kwargs import plot_kwargs_list, imshow_kwargs_list, Text_kwargs_list, kwarg_popper +from .mpl_kwargs import Line2D_kwargs_list, imshow_kwargs_list, Text_kwargs_list, kwarg_popper # functions that are methods __all__ = [ @@ -128,7 +128,7 @@ def f(x, tau): interactive_plot(x, f, tau=(0, np.pi, 1000)) """ - kwargs, plot_kwargs = kwarg_popper(kwargs, plot_kwargs_list) + kwargs, plot_kwargs = kwarg_popper(kwargs, Line2D_kwargs_list) x_and_y = False x = None fmt = None @@ -760,6 +760,9 @@ def interactive_axhline( controls display_controls : boolean Whether the controls should display themselve on creation. Ignored if controls is specified. + **kwargs : + Kwargs will be used to create control widgets. Except kwargs that are valid for Line2D are + extracted and passed through to the creation of the line. returns ------- @@ -769,6 +772,8 @@ def interactive_axhline( fig, ax = gogogo_figure(ipympl, ax) use_ipywidgets = ipympl or force_ipywidgets slider_formats = create_slider_format_dict(slider_formats) + kwargs, line_kwargs = kwarg_popper(kwargs, Line2D_kwargs_list) + line_kwargs.pop("transform", None) # transform is not a valid kwarg for ax{v,h}line controls, params = gogogo_controls( kwargs, controls, display_controls, slider_formats, play_buttons @@ -788,6 +793,7 @@ def update(params, indices, cache): callable_else_value(y, params).item(), callable_else_value(xmin, params).item(), callable_else_value(xmax, params).item(), + **line_kwargs, ) return controls @@ -839,6 +845,9 @@ def interactive_axvline( controls display_controls : boolean Whether the controls should display themselve on creation. Ignored if controls is specified. + **kwargs : + Kwargs will be used to create control widgets. Except kwargs that are valid for Line2D are + extracted and passed through to the creation of the line. returns ------- @@ -848,6 +857,8 @@ def interactive_axvline( fig, ax = gogogo_figure(ipympl, ax) use_ipywidgets = ipympl or force_ipywidgets slider_formats = create_slider_format_dict(slider_formats) + kwargs, line_kwargs = kwarg_popper(kwargs, Line2D_kwargs_list) + line_kwargs.pop("transform", None) # transform is not a valid kwarg for ax{v,h}line controls, params = gogogo_controls( kwargs, controls, display_controls, slider_formats, play_buttons @@ -855,10 +866,10 @@ def interactive_axvline( def update(params, indices, cache): x_ = callable_else_value(x, params, cache).item() - line.set_ydata([x_, x_]) + line.set_xdata([x_, x_]) ymin_ = callable_else_value(ymin, params, cache).item() ymax_ = callable_else_value(ymax, params, cache).item() - line.set_xdata([ymin_, ymax_]) + line.set_ydata([ymin_, ymax_]) # TODO consider updating just the ydatalim here controls.register_function(update, fig, params) @@ -867,6 +878,7 @@ def update(params, indices, cache): callable_else_value(x, params).item(), callable_else_value(ymin, params).item(), callable_else_value(ymax, params).item(), + **line_kwargs, ) return controls From b39372c7f021fe259be2d930e8cd1a5a4b462468 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Wed, 25 Nov 2020 20:51:01 -0500 Subject: [PATCH 02/10] allow scalar arguments to be kwarg like. This allows the natural feeling: ``` iplt.imshow(im, vmin = (0, 125), vmax=(125,255) ``` which will create a slider for vmin and vmax This also allows for more easily chaining multiple commands and passing an indexed controls object as a scalar. Which then allows for this example that was motivating for this change: ``` im = np.random.randn(100*100).reshape(100,100) fig, axs = plt.subplots(1,2) axs[1].hist(im.flatten(), alpha=.4) ctrls = iplt.imshow(im, vmin=(-1,0), vmax=(0,1), ax = axs[0]) _ = iplt.axvline(ctrls['vmin'], ax = axs[1]) _ = iplt.axvline(ctrls['vmax'], ax = axs[1]) ``` -------- Also only append to a figure to the list of what a controller controls if it is not already present. this prevents potential multiple draws draws prep scalars for scatter - also allow size to be a single number for scatter plus cleanup docstring a little bit --- mpl_interactions/controller.py | 53 +++++++++++++++++++++--- mpl_interactions/generic.py | 29 ++++++++++++-- mpl_interactions/pyplot.py | 73 +++++++++++++++++++++++++++------- 3 files changed, 132 insertions(+), 23 deletions(-) diff --git a/mpl_interactions/controller.py b/mpl_interactions/controller.py index b06d9c94..3967454e 100644 --- a/mpl_interactions/controller.py +++ b/mpl_interactions/controller.py @@ -163,9 +163,10 @@ def register_function(self, f, fig, params=None): params = list(params) for p in params: self._update_funcs[p].append((f, params)) - self.figs[p].append(fig) # maybe should use a weakref? - # also should probably register a close_event callback to remove - # the figure + if fig not in self.figs[p]: + self.figs[p].append(fig) # maybe should use a weakref? + # also should probably register a close_event callback to remove + # the figure def __getitem__(self, key): """ @@ -271,15 +272,40 @@ def _ipython_display_(self): def gogogo_controls( - kwargs, controls, display_controls, slider_formats, play_buttons, allow_dupes=False + kwargs, + controls, + display_controls, + slider_formats, + play_buttons, + extra_controls=None, + allow_dupes=False, ): - if controls: + if controls or (extra_controls and not all([e is None for e in extra_controls])): + if extra_controls is not None: + controls = [controls] + extra_controls + if isinstance(controls, tuple): # it was indexed by the user when passed in extra_keys = controls[1] controls = controls[0] controls.add_kwargs(kwargs, slider_formats, play_buttons, allow_duplicates=allow_dupes) params = {k: controls.params[k] for k in list(kwargs.keys()) + list(extra_keys)} + elif isinstance(controls, list): + # collected from extra controls + ctrls = [] + kwgs = [] + for c in controls: + if c is not None: + ctrls.append(c[0]) + if c[1] is not None: + kwgs += [*c[1]] + extra_keys = set(kwgs) + controls = set(ctrls) + if len(controls) != 1: + raise ValueError("Only one controls object may be used per function") + controls = controls.pop() + controls.add_kwargs(kwargs, slider_formats, play_buttons, allow_duplicates=allow_dupes) + params = {k: controls.params[k] for k in list(kwargs.keys()) + list(extra_keys)} else: controls.add_kwargs(kwargs, slider_formats, play_buttons, allow_duplicates=allow_dupes) params = controls.params @@ -290,3 +316,20 @@ def gogogo_controls( if display_controls: controls.display() return controls, params + + +def prep_scalar(arg, name=None): + if isinstance(arg, tuple): + if isinstance(arg[0], Controls): + + def f(**kwargs): + return kwargs[arg[1][0]] + + return f, arg, None + elif name is not None: + + def f(**kwargs): + return kwargs[name] + + return f, None, (name, arg) + return arg, None, None diff --git a/mpl_interactions/generic.py b/mpl_interactions/generic.py index e4edb0ec..76b2123a 100644 --- a/mpl_interactions/generic.py +++ b/mpl_interactions/generic.py @@ -12,7 +12,7 @@ from .helpers import * from .utils import figure, ioff, nearest_idx -from .controller import gogogo_controls +from .controller import gogogo_controls, prep_scalar from .xarray_helpers import get_hs_axes, get_hs_extent, get_hs_fmts # functions that are methods @@ -628,7 +628,7 @@ def hyperslicer( slider_arr = kwargs.pop(name) if axes is not None and axes[i] is not None: - # no we assume the axes[i] has one of the following forms + # now we assume the axes[i] has one of the following forms # ('mu', (0,1)) # ('mu', np.array) # ('mu', 0, 1) @@ -678,8 +678,24 @@ def hyperslicer( if "extent" not in kwargs: extent = None + args = [] + extra_ctrls = [] + # fmt: off + vmin, ec, arg = prep_scalar(vmin, name='vmin'); extra_ctrls.append(ec); args.append(arg) + vmax, ec, arg = prep_scalar(vmax, name='vmax'); extra_ctrls.append(ec); args.append(arg) + # fmt: on + for a in args: + if a is not None: + kwargs[a[0]] = a[1] + controls, params = gogogo_controls( - kwargs, controls, display_controls, slider_format_strings, play_buttons, allow_dupes=True + kwargs, + controls, + display_controls, + slider_format_strings, + play_buttons, + extra_ctrls, + allow_dupes=True, ) def update(params, indices, cache): @@ -687,7 +703,12 @@ def update(params, indices, cache): ax.set_title(title.format(**params)) for k, v in indices.items(): - slices[name_to_dim[k]] = v + try: + slices[name_to_dim[k]] = v + except KeyError: + # this is necssary to allow things + # like vmax = (240, 250) + pass new_data = arr[tuple(slices)] im.set_data(new_data) diff --git a/mpl_interactions/pyplot.py b/mpl_interactions/pyplot.py index 188026b9..5c5c48fa 100644 --- a/mpl_interactions/pyplot.py +++ b/mpl_interactions/pyplot.py @@ -9,7 +9,7 @@ from matplotlib.patches import Rectangle from matplotlib.pyplot import sca -from .controller import Controls, gogogo_controls +from .controller import Controls, gogogo_controls, prep_scalar from .helpers import ( broadcast_many, @@ -26,7 +26,6 @@ ) from .mpl_kwargs import Line2D_kwargs_list, imshow_kwargs_list, Text_kwargs_list, kwarg_popper -# functions that are methods __all__ = [ "interactive_plot", "interactive_hist", @@ -431,11 +430,9 @@ def interactive_scatter( then parametric must be True and the function for x must return x, y c : array-like or list of colors or color, broadcastable Must be broadcastable to x,y and any other plotting kwargs. - valid input to plt.scatter, or an array of valid inputs, or a function - or an array-like of functions of the same length as f - s : float or array-like or function, broadcastable - valid input to plt.scatter, or an array of valid inputs, or a function - or an array-like of functions of the same length as f + valid input to plt.scatter + s : float, array-like, function, or index controls object + valid input to plt.scatter, or a function alpha : float, None, or function(s), broadcastable Affects all scatter points. This will compound with any alpha introduced by the ``c`` argument @@ -494,8 +491,18 @@ def interactive_scatter( fig, ax = gogogo_figure(ipympl, ax) use_ipywidgets = ipympl or force_ipywidgets slider_formats = create_slider_format_dict(slider_formats) + + args = [] + extra_ctrls = [] + # fmt: off + s, ec, arg = prep_scalar(s, name='s'); extra_ctrls.append(ec); args.append(arg) + alpha, ec, arg = prep_scalar(alpha, name='alpha'); extra_ctrls.append(ec); args.append(arg) + # fmt: on + for a in args: + if a is not None: + kwargs[a[0]] = a[1] controls, params = gogogo_controls( - kwargs, controls, display_controls, slider_formats, play_buttons + kwargs, controls, display_controls, slider_formats, play_buttons, extra_ctrls ) def update(params, indices, cache): @@ -525,7 +532,9 @@ def update(params, indices, cache): scatter.set_facecolor(c_) if ec_ is not None: scatter.set_edgecolor(ec_) - if s_ is not None and not isinstance(s_, Number): + if s_ is not None: + if isinstance(s_, Number): + s_ = np.broadcast_to(s_, (len(x_),)) scatter.set_sizes(s_) if a_ is not None: scatter.set_alpha(a_) @@ -666,9 +675,20 @@ def interactive_imshow( fig, ax = gogogo_figure(ipympl, ax) use_ipywidgets = ipympl or force_ipywidgets slider_formats = create_slider_format_dict(slider_formats) + kwargs, line_kwargs = kwarg_popper(kwargs, Line2D_kwargs_list) + + args = [] + extra_ctrls = [] + # fmt: off + vmin, ec, arg = prep_scalar(vmin, name='vmin'); extra_ctrls.append(ec); args.append(arg) + vmax, ec, arg = prep_scalar(vmax, name='vmax'); extra_ctrls.append(ec); args.append(arg) + # fmt: on + for a in args: + if a is not None: + kwargs[a[0]] = a[1] controls, params = gogogo_controls( - kwargs, controls, display_controls, slider_formats, play_buttons + kwargs, controls, display_controls, slider_formats, play_buttons, extra_ctrls ) def update(params, indices, cache): @@ -772,13 +792,25 @@ def interactive_axhline( fig, ax = gogogo_figure(ipympl, ax) use_ipywidgets = ipympl or force_ipywidgets slider_formats = create_slider_format_dict(slider_formats) - kwargs, line_kwargs = kwarg_popper(kwargs, Line2D_kwargs_list) - line_kwargs.pop("transform", None) # transform is not a valid kwarg for ax{v,h}line + extra_ctrls = [] + args = [] + # fmt: off + y, ec = prep_scalar(x) + extra_ctrls.append(ec) + xmin, ec, arg = prep_scalar(xmin, "xmin"); extra_ctrls.append(ec); args.append(arg) + xmax, ec, arg = prep_scalar(xmax, "xmax"); extra_ctrls.append(ec); args.append(arg) + # fmt: on + for a in args: + if a is not None: + kwargs[a[0]] = a[1] controls, params = gogogo_controls( - kwargs, controls, display_controls, slider_formats, play_buttons + kwargs, controls, display_controls, slider_formats, play_buttons, extra_ctrls ) + kwargs, line_kwargs = kwarg_popper(kwargs, Line2D_kwargs_list) + line_kwargs.pop("transform", None) # transform is not a valid kwarg for ax{v,h}line + def update(params, indices, cache): y_ = callable_else_value(y, params, cache).item() line.set_ydata([y_, y_]) @@ -857,11 +889,23 @@ def interactive_axvline( fig, ax = gogogo_figure(ipympl, ax) use_ipywidgets = ipympl or force_ipywidgets slider_formats = create_slider_format_dict(slider_formats) + kwargs, line_kwargs = kwarg_popper(kwargs, Line2D_kwargs_list) line_kwargs.pop("transform", None) # transform is not a valid kwarg for ax{v,h}line + extra_ctrls = [] + args = [] + # fmt: off + x, ec, arg = prep_scalar(x, 'x'); extra_ctrls.append(ec); args.append(arg) + ymin, ec,arg = prep_scalar(ymin, 'ymin'); extra_ctrls.append(ec); args.append(arg) + ymax, ec,arg = prep_scalar(ymax, 'ymax'); extra_ctrls.append(ec); args.append(arg) + # fmt: on + for a in args: + if a is not None: + kwargs[a[0]] = a[1] + controls, params = gogogo_controls( - kwargs, controls, display_controls, slider_formats, play_buttons + kwargs, controls, display_controls, slider_formats, play_buttons, extra_ctrls ) def update(params, indices, cache): @@ -947,6 +991,7 @@ def interactive_title( slider_formats = create_slider_format_dict(slider_formats) kwargs, text_kwargs = kwarg_popper(kwargs, Text_kwargs_list) + controls, params = gogogo_controls( kwargs, controls, display_controls, slider_formats, play_buttons ) From ce8872c112fe4bfc292f9df4b3866b0f352246b8 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Thu, 26 Nov 2020 16:12:02 -0500 Subject: [PATCH 03/10] support range sliders for ipywidgets --- mpl_interactions/controller.py | 26 ++++++++++++++++++++++++-- mpl_interactions/helpers.py | 21 +++++++++++++++++++++ mpl_interactions/pyplot.py | 17 +++++++++++++++++ 3 files changed, 62 insertions(+), 2 deletions(-) diff --git a/mpl_interactions/controller.py b/mpl_interactions/controller.py index 3967454e..edbe7f44 100644 --- a/mpl_interactions/controller.py +++ b/mpl_interactions/controller.py @@ -106,6 +106,9 @@ def add_kwargs(self, kwargs, slider_formats=None, play_buttons=None, allow_dupli if control: self.controls[k] = control self.vbox.children = list(self.vbox.children) + [control] + if k == "vmin_vmax": + self.params["vmin"] = self.params["vmin_vmax"][0] + self.params["vmax"] = self.params["vmin_vmax"][1] else: if len(kwargs) > 0: mpl_layout = create_mpl_controls_fig(kwargs) @@ -129,14 +132,22 @@ def add_kwargs(self, kwargs, slider_formats=None, play_buttons=None, allow_dupli if control: self.controls[k] = control - def slider_updated(self, change, key, values): + def _slider_updated(self, change, key, values): """ gotta also give the indices in order to support hyperslicer without horrifying contortions """ if values is None: self.params[key] = change["new"] else: - self.params[key] = values[change["new"]] + c = change["new"] + if isinstance(c, tuple): + # This is for range sliders which return 2 indices + self.params[key] = values[[*change["new"]]] + if key == "vmin_vmax": + self.params["vmin"] = self.params[key][0] + self.params["vmax"] = self.params[key][1] + else: + self.params[key] = values[change["new"]] self.indices[key] = change["new"] if self.use_cache: cache = {} @@ -152,6 +163,17 @@ def slider_updated(self, change, key, values): for f in self.figs[key]: f.canvas.draw_idle() + def slider_updated(self, change, key, values): + """ + thin wrapper to enable splitting of special cased range sliders. + e.g. of `vmin_vmax` -> `vmin` and `vmax`. In the future maybe + generalize this to any range slider with an underscore in the name? + """ + self._slider_updated(change, key, values) + if key == "vmin_vmax": + self._slider_updated({"new": change["new"][0]}, "vmin", values) + self._slider_updated({"new": change["new"][1]}, "vmax", values) + def register_function(self, f, fig, params=None): """ if params is None use the entire current set of params diff --git a/mpl_interactions/helpers.py b/mpl_interactions/helpers.py index 22214da7..fbd88111 100644 --- a/mpl_interactions/helpers.py +++ b/mpl_interactions/helpers.py @@ -312,6 +312,27 @@ def kwarg_to_ipywidget(key, val, update, slider_format_string, play_button=None) return val.value, val # val.observe(partial(update, key=key, label=None), names=["value"]) else: + if isinstance(val, tuple) and val[0] in ["r", "range", "rang", "rage"]: + # also check for some reasonably easy mispellings + if isinstance(val[1], (np.ndarray, list)): + vals = val[1] + else: + vals = np.linspace(*val[1:]) + label = widgets.Label(value=str(vals[0])) + slider = widgets.IntRangeSlider( + value=(0, vals.size - 1), min=0, max=vals.size - 1, readout=False, description=key + ) + widgets.dlink( + (slider, "value"), + (label, "value"), + transform=lambda x: slider_format_string.format(vals[x[0]]) + + " - " + + slider_format_string.format(vals[x[1]]), + ) + slider.observe(partial(update, values=vals), names="value") + controls = widgets.HBox([slider, label]) + return vals[[0, -1]], controls + if isinstance(val, tuple) and len(val) in [2, 3]: # treat as an argument to linspace # idk if it's acceptable to overwrite kwargs like this diff --git a/mpl_interactions/pyplot.py b/mpl_interactions/pyplot.py index 5c5c48fa..b7ad5ef8 100644 --- a/mpl_interactions/pyplot.py +++ b/mpl_interactions/pyplot.py @@ -603,6 +603,7 @@ def interactive_imshow( alpha=None, vmin=None, vmax=None, + vmin_vmax=None, origin=None, extent=None, autoscale_cmap=True, @@ -686,10 +687,26 @@ def interactive_imshow( for a in args: if a is not None: kwargs[a[0]] = a[1] + if vmin_vmax is not None: + if not isinstance(vmin_vmax, tuple): + raise ValueError("vmin_vmax must be a tuple") + if not isinstance(vmin_vmax[0], str): + vmin_vmax = ("r", *vmin_vmax) + kwargs["vmin_vmax"] = vmin_vmax controls, params = gogogo_controls( kwargs, controls, display_controls, slider_formats, play_buttons, extra_ctrls ) + if vmin_vmax is not None: + params.pop("vmin_vmax") + params["vmin"] = controls.params["vmin"] + params["vmax"] = controls.params["vmax"] + + def vmin(**kwargs): + return kwargs["vmin"] + + def vmax(**kwargs): + return kwargs["vmax"] def update(params, indices, cache): if isinstance(X, Callable): From e678371880f54c92c7ffdaf3994ca4b1575c8615 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Thu, 26 Nov 2020 17:28:08 -0500 Subject: [PATCH 04/10] add range slider widget based on https://github.com/matplotlib/matplotlib/pull/18829/files --- mpl_interactions/widgets.py | 347 ++++++++++++++++++++++++++++++++++++ 1 file changed, 347 insertions(+) diff --git a/mpl_interactions/widgets.py b/mpl_interactions/widgets.py index cbda0400..d5bff194 100644 --- a/mpl_interactions/widgets.py +++ b/mpl_interactions/widgets.py @@ -1,10 +1,13 @@ from matplotlib.cbook import CallbackRegistry from matplotlib.widgets import AxesWidget +from matplotlib import cbook, ticker +import numpy as np __all__ = [ "scatter_selector", "scatter_selector_index", "scatter_selector_value", + "RangeSlider", ] @@ -135,3 +138,347 @@ def on_changed(self, func): Connection id (which can be used to disconnect *func*) """ return self._observers.connect("picked", lambda val: func(val)) + + +# slider widgets are taken almost verbatim from https://github.com/matplotlib/matplotlib/pull/18829/files +# which was written by me - but incorporates much of the existing matplotlib slider infrastructure +class SliderBase(AxesWidget): + def __init__( + self, ax, orientation, closedmin, closedmax, valmin, valmax, valfmt, dragging, valstep + ): + if ax.name == "3d": + raise ValueError("Sliders cannot be added to 3D Axes") + + super().__init__(ax) + + self.orientation = orientation + self.closedmin = closedmin + self.closedmax = closedmax + self.valmin = valmin + self.valmax = valmax + self.valstep = valstep + self.drag_active = False + self.valfmt = valfmt + + if orientation == "vertical": + ax.set_ylim((valmin, valmax)) + axis = ax.yaxis + else: + ax.set_xlim((valmin, valmax)) + axis = ax.xaxis + + self._fmt = axis.get_major_formatter() + if not isinstance(self._fmt, ticker.ScalarFormatter): + self._fmt = ticker.ScalarFormatter() + self._fmt.set_axis(axis) + self._fmt.set_useOffset(False) # No additive offset. + self._fmt.set_useMathText(True) # x sign before multiplicative offset. + + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_navigate(False) + self.connect_event("button_press_event", self._update) + self.connect_event("button_release_event", self._update) + if dragging: + self.connect_event("motion_notify_event", self._update) + self._observers = cbook.CallbackRegistry() + + def _stepped_value(self, val): + if self.valstep: + return self.valmin + round((val - self.valmin) / self.valstep) * self.valstep + return val + + def disconnect(self, cid): + """ + Remove the observer with connection id *cid* + + Parameters + ---------- + cid : int + Connection id of the observer to be removed + """ + self._observers.disconnect(cid) + + def reset(self): + """Reset the slider to the initial value""" + if self.val != self.valinit: + self.set_val(self.valinit) + + +class RangeSlider(SliderBase): + """ + A slider representing a floating point range. + + Create a slider from *valmin* to *valmax* in axes *ax*. For the slider to + remain responsive you must maintain a reference to it. Call + :meth:`on_changed` to connect to the slider event. + + Attributes + ---------- + val : tuple of float + Slider value. + """ + + def __init__( + self, + ax, + label, + valmin, + valmax, + valinit=None, + valfmt=None, + closedmin=True, + closedmax=True, + dragging=True, + valstep=None, + orientation="horizontal", + **kwargs, + ): + """ + Parameters + ---------- + ax : Axes + The Axes to put the slider in. + + label : str + Slider label. + + valmin : float + The minimum value of the slider. + + valmax : float + The maximum value of the slider. + + valinit : tuple of float or None, default: None + The initial positions of the slider. If None the initial positions + will be at the 25th and 75th percentiles of the range. + + valfmt : str, default: None + %-format string used to format the slider values. If None, a + `.ScalarFormatter` is used instead. + + closedmin : bool, default: True + Whether the slider interval is closed on the bottom. + + closedmax : bool, default: True + Whether the slider interval is closed on the top. + + dragging : bool, default: True + If True the slider can be dragged by the mouse. + + valstep : float, default: None + If given, the slider will snap to multiples of *valstep*. + + orientation : {'horizontal', 'vertical'}, default: 'horizontal' + The orientation of the slider. + + Notes + ----- + Additional kwargs are passed on to ``self.poly`` which is the + `~matplotlib.patches.Rectangle` that draws the slider knob. See the + `.Rectangle` documentation for valid property names (``facecolor``, + ``edgecolor``, ``alpha``, etc.). + """ + super().__init__( + ax, orientation, closedmin, closedmax, valmin, valmax, valfmt, dragging, valstep + ) + + if valinit is None: + valinit = np.array([valmin + 0.25 * valmax, valmin + 0.75 * valmax]) + else: + valinit = self._value_in_bounds(valinit) + self.val = valinit + self.valinit = valinit + if orientation == "vertical": + self.poly = ax.axhspan(valinit[0], valinit[1], 0, 1, **kwargs) + else: + self.poly = ax.axvspan(valinit[0], valinit[1], 0, 1, **kwargs) + + if orientation == "vertical": + self.label = ax.text( + 0.5, + 1.02, + label, + transform=ax.transAxes, + verticalalignment="bottom", + horizontalalignment="center", + ) + + self.valtext = ax.text( + 0.5, + -0.02, + self._format(valinit), + transform=ax.transAxes, + verticalalignment="top", + horizontalalignment="center", + ) + else: + self.label = ax.text( + -0.02, + 0.5, + label, + transform=ax.transAxes, + verticalalignment="center", + horizontalalignment="right", + ) + + self.valtext = ax.text( + 1.02, + 0.5, + self._format(valinit), + transform=ax.transAxes, + verticalalignment="center", + horizontalalignment="left", + ) + + self.set_val(valinit) + + def _min_in_bounds(self, min): + """ + Ensure the new min value is between valmin and self.val[1] + """ + if min <= self.valmin: + if not self.closedmin: + return self.val[0] + min = self.valmin + + if min > self.val[1]: + min = self.val[1] + return self._stepped_value(min) + + def _max_in_bounds(self, max): + """ + Ensure the new max value is between valmax and self.val[0] + """ + if max >= self.valmax: + if not self.closedmax: + return self.val[1] + max = self.valmax + + if max <= self.val[0]: + max = self.val[0] + return self._stepped_value(max) + + def _value_in_bounds(self, val): + return (self._min_in_bounds(val[0]), self._max_in_bounds(val[1])) + + def _update_val_from_pos(self, pos): + """ + Given a position update the *val* + """ + idx = np.argmin(np.abs(self.val - pos)) + if idx == 0: + val = self._min_in_bounds(pos) + self.set_min(val) + else: + val = self._max_in_bounds(pos) + self.set_max(val) + + def _update(self, event): + """Update the slider position.""" + if self.ignore(event) or event.button != 1: + return + + if event.name == "button_press_event" and event.inaxes == self.ax: + self.drag_active = True + event.canvas.grab_mouse(self.ax) + + if not self.drag_active: + return + + elif (event.name == "button_release_event") or ( + event.name == "button_press_event" and event.inaxes != self.ax + ): + self.drag_active = False + event.canvas.release_mouse(self.ax) + return + if self.orientation == "vertical": + self._update_val_from_pos(event.ydata) + else: + self._update_val_from_pos(event.xdata) + + def _format(self, val): + """Pretty-print *val*.""" + if self.valfmt is not None: + return (self.valfmt % val[0], self.valfmt % val[1]) + else: + # fmt.get_offset is actually the multiplicative factor, if any. + _, s1, s2, _ = self._fmt.format_ticks([self.valmin, *val, self.valmax]) + # fmt.get_offset is actually the multiplicative factor, if any. + s1 += self._fmt.get_offset() + s2 += self._fmt.get_offset() + # use raw string to avoid issues with backslashes from + return rf"({s1}, {s2})" + + def set_min(self, min): + """ + Set the lower value of the slider to *min* + + Parameters + ---------- + min : float + """ + self.set_val((min, self.val[1])) + + def set_max(self, max): + """ + Set the lower value of the slider to *max* + + Parameters + ---------- + max : float + """ + self.set_val((self.val[0], max)) + + def set_val(self, val): + """ + Set slider value to *val* + + Parameters + ---------- + val : tuple or arraylike of float + """ + val = np.sort(np.asanyarray(val)) + if val.shape != (2,): + raise ValueError(f"val must have shape (2,) but has shape {val.shape}") + val[0] = self._min_in_bounds(val[0]) + val[1] = self._max_in_bounds(val[1]) + xy = self.poly.xy + if self.orientation == "vertical": + xy[0] = 0, val[0] + xy[1] = 0, val[1] + xy[2] = 1, val[1] + xy[3] = 1, val[0] + xy[4] = 0, val[0] + else: + xy[0] = val[0], 0 + xy[1] = val[0], 1 + xy[2] = val[1], 1 + xy[3] = val[1], 0 + xy[4] = val[0], 0 + self.poly.xy = xy + self.valtext.set_text(self._format(val)) + if self.drawon: + self.ax.figure.canvas.draw_idle() + self.val = val + if self.eventson: + self._observers.process("changed", val) + + def on_changed(self, func): + """ + When the slider value is changed call *func* with the new + slider value + + Parameters + ---------- + func : callable + Function to call when slider is changed. + The function must accept a numpy array with shape (2,) float + as its argument. + + Returns + ------- + int + Connection id (which can be used to disconnect *func*) + """ + return self._observers.connect("changed", func) From 66d09937651f42ffb289432e1dbf0efa2ea1f036 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Thu, 26 Nov 2020 18:17:53 -0500 Subject: [PATCH 05/10] support range sliders for matplotlib --- mpl_interactions/controller.py | 3 +++ mpl_interactions/helpers.py | 33 ++++++++++++++++++++++++++++++++- mpl_interactions/pyplot.py | 4 +--- mpl_interactions/widgets.py | 1 + 4 files changed, 37 insertions(+), 4 deletions(-) diff --git a/mpl_interactions/controller.py b/mpl_interactions/controller.py index edbe7f44..421b9b1c 100644 --- a/mpl_interactions/controller.py +++ b/mpl_interactions/controller.py @@ -131,6 +131,9 @@ def add_kwargs(self, kwargs, slider_formats=None, play_buttons=None, allow_dupli ) if control: self.controls[k] = control + if k == "vmin_vmax": + self.params["vmin"] = self.params["vmin_vmax"][0] + self.params["vmax"] = self.params["vmin_vmax"][1] def _slider_updated(self, change, key, values): """ diff --git a/mpl_interactions/helpers.py b/mpl_interactions/helpers.py index fbd88111..f37ce7be 100644 --- a/mpl_interactions/helpers.py +++ b/mpl_interactions/helpers.py @@ -15,6 +15,7 @@ from matplotlib.pyplot import axes, gca, gcf, figure from numpy.distutils.misc_util import is_sequence +from .widgets import RangeSlider from .utils import ioff __all__ = [ @@ -490,6 +491,25 @@ def update_text(val): return slider +def create_mpl_range_selection_slider(ax, label, values, slider_format_string): + """ + creates a slider that behaves similarly to the ipywidgets selection slider + """ + slider = RangeSlider(ax, label, 0, len(values) - 1, valinit=(0, len(values) - 1), valstep=1) + + def update_text(val): + slider.valtext.set_text( + slider_format_string.format(values[val[0]]) + + " - " + + slider_format_string.format(values[val[-1]]) + ) + + # make sure the initial value also gets formatted + update_text((0, len(values) - 1)) + slider.on_changed(update_text) + return slider + + def process_mpl_widget(val, update): """ handle the case of a kwarg being an existing matplotlib widget. @@ -503,7 +523,7 @@ def process_mpl_widget(val, update): val.set_active(0) cb = val.on_clicked(partial(changeify_radio, labels=val.labels, update=update)) return val.labels[0], val, cb - elif isinstance(val, mwidgets.Slider): + elif isinstance(val, (mwidgets.Slider, RangeSlider)): # potential future improvement: # check if valstep has been set and then try to infer the values # but not now, I'm trying to avoid premature optimization lest this @@ -571,6 +591,17 @@ def kwarg_to_mpl_widget( else: slider = None update_fxn = None + if isinstance(val, tuple) and val[0] in ["r", "range", "rang", "rage"]: + if isinstance(val[1], (np.ndarray, list)): + vals = val[1] + else: + vals = np.linspace(*val[1:]) + slider_ax = fig.add_axes([0.2, 0.9 - widget_y - gap_height, 0.65, slider_height]) + slider = create_mpl_range_selection_slider(slider_ax, key, vals, slider_format_string) + cb = slider.on_changed(partial(changeify, update=partial(update, values=vals))) + widget_y += slider_height + gap_height + return vals[[0, -1]], slider, cb, widget_y + if isinstance(val, tuple): if len(val) == 2: min_ = float(val[0]) diff --git a/mpl_interactions/pyplot.py b/mpl_interactions/pyplot.py index b7ad5ef8..3f61e56c 100644 --- a/mpl_interactions/pyplot.py +++ b/mpl_interactions/pyplot.py @@ -688,9 +688,7 @@ def interactive_imshow( if a is not None: kwargs[a[0]] = a[1] if vmin_vmax is not None: - if not isinstance(vmin_vmax, tuple): - raise ValueError("vmin_vmax must be a tuple") - if not isinstance(vmin_vmax[0], str): + if isinstance(vmin_vmax, tuple) and not isinstance(vmin_vmax[0], str): vmin_vmax = ("r", *vmin_vmax) kwargs["vmin_vmax"] = vmin_vmax diff --git a/mpl_interactions/widgets.py b/mpl_interactions/widgets.py index d5bff194..7349ef44 100644 --- a/mpl_interactions/widgets.py +++ b/mpl_interactions/widgets.py @@ -283,6 +283,7 @@ def __init__( ax, orientation, closedmin, closedmax, valmin, valmax, valfmt, dragging, valstep ) + self.val = valinit if valinit is None: valinit = np.array([valmin + 0.25 * valmax, valmin + 0.75 * valmax]) else: From 9101ebc489d5900fc568b3e6ffed4962990458da Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Mon, 30 Nov 2020 21:26:33 -0500 Subject: [PATCH 06/10] add documentation of scalar parameters and rangesliders also, update the imshow example and add some to usage guide --- docs/_static/images/imshow-threshold.apng | Bin 1551344 -> 864741 bytes docs/_static/images/usage-rangeslider.apng | Bin 0 -> 239444 bytes docs/index.rst | 2 + examples/Usage-Guide.ipynb | 28 ++++ examples/imshow.ipynb | 14 +- examples/mpl-sliders.ipynb | 2 +- examples/range-sliders.ipynb | 159 +++++++++++++++++++++ examples/scalar-arguments.ipynb | 143 ++++++++++++++++++ 8 files changed, 336 insertions(+), 12 deletions(-) create mode 100644 docs/_static/images/usage-rangeslider.apng create mode 100644 examples/range-sliders.ipynb create mode 100644 examples/scalar-arguments.ipynb diff --git a/docs/_static/images/imshow-threshold.apng b/docs/_static/images/imshow-threshold.apng index 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| Bin 0 -> 381639 bytes 2 files changed, 17 insertions(+) create mode 100644 docs/_static/images/how-to-embed-gif.apng diff --git a/docs/Contributing.rst b/docs/Contributing.rst index 068b80f2..ec02363e 100644 --- a/docs/Contributing.rst +++ b/docs/Contributing.rst @@ -51,6 +51,13 @@ Also feel free to ask for help/advice on the relevant Github `issue `_. + +If you are adding a new example then you need to include it in the toctree in ``docs/index.rst``. + + Following changes to the source files, you can view recent adjustments by building the documentation. 1. Make sure you have installed the requirements for building the documentation: @@ -69,6 +76,16 @@ Following changes to the source files, you can view recent adjustments by buildi If you open the ``index.html`` file in your browser you should now be able to see the rendered documentation. +Embedding GIFs +^^^^^^^^^^^^^^ + +Unfortunately the interactive plots are not interactive on readthedocs, this is because they require an active +Python kernel to work. So instead we short gifs or apngs of interacting with the plots and embed them. To accomplish this +the GIFs are stored in ``docs/_static/images`` and they are automatically embedded when the notebooks are converted to html +based on the file names in the cell metadata. 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zI)=7}w%_N|y7n^S`Cw8g4!4_QZU?$%SC+}7Z~r{@~ZrwfiGS?dUseH8dd&W3a5_X_wv^p;{>Ns!4VrA|89FA^y53h%SIru|9oRyuL2H132d|vBvYaSRvOqf&K@c_uui>kK5h< r!1Mi$_u^CU{0E-@-|>E&@vZ;B3;d0bk52ao=RinHD2SJd8U*|wb^j{@ literal 0 HcmV?d00001 From fce0da642a0f4d20e74c2f304c320e7650aac783 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Mon, 30 Nov 2020 21:40:30 -0500 Subject: [PATCH 08/10] cleanup readme best source of info is on the docs now. --- README.md | 76 +++---------------------------------------------------- 1 file changed, 4 insertions(+), 72 deletions(-) diff --git a/README.md b/README.md index cd1cb3da..21bb78c7 100644 --- a/README.md +++ b/README.md @@ -6,66 +6,16 @@ ## Welcome! -mpl_interactions' library provides helpful ways to interact with [Matplotlib](https://matplotlib.org/) plots. A summary of key components can be found below. Fuller narrative, further examples, and more information can be found on [ReadtheDocs](https://mpl-interactions.readthedocs.io/en/latest/#). +mpl_interactions' library provides helpful ways to interact with [Matplotlib](https://matplotlib.org/) plots. Full narrative documentation and example can be found on [ReadtheDocs](https://mpl-interactions.readthedocs.io/en/stable/#). -There are three submodules: - -**pyplot** - -Control Matplotlib plots using sliders and other widgets to adjust the parameters of the functions you are plotting. If working in a notebook then ipywidgets will be used to make the sliders, otherwise Matplotlib widgets will be used. - -This is a different approach to controlling plots with sliders than `ipywidgets.interact` as when using `interact` you are responsible for: -1. Defining the function to plot `f(x,...) => y` -2. Handling the plotting logic (`plt.plot`, `fig.cla`, `ax.set_ylim`, etc) - -In contrast, with `mpl-interactions` you only need to provide `f(x, ...) => y` and the plotting and updating boilerplate are handled for you. - -```python -x = np.linspace(0,6,100) -beta = np.linspace(0,5*np.pi) -def f(x, beta): - return np.sin(x*4+beta) -interactive_plot(f, x=x, beta=beta) -``` - -These functions are designed to be used with [ipympl](https://github.com/matplotlib/ipympl), the backend that is designed for use in Jupyter Notebooks. So for optimal performance, make sure you set the backend with `%matplotlib ipympl`. That said, these functions will also work with any interactive backend (e.g. `%matplotlib qt5`). - - -**generic** - -Provides ways to interact with Matplotlib that will work outside of a Jupyter Notebook; this should work equally well with any backend. -1. A very niche (but very cool) way to compare 2D heatmaps -2. Scroll to zoom -3. Middle click to pan - -**utils** - -This module includes utility functions to make things just that little bit easier. - -1. `ioff` as a context manager - -```python -from mpl_interactions.utils import ioff -with ioff: - # interactive mode will be off - fig = plt.figure() - # other stuff -# interactive mode will be on -``` -2. `figure` that accepts a scalar for `figsize` (this will scale the default dimensions) -```python -from mpl_interactions.utils import figure -fig = figure(3) -# the default figsize is [6.4, 4.8], this figure will have figsize = [6.4*3, 4.8*3] -``` - -3. `nearest_idx` -- avoid ever having to write `np.argmin(np.abs(arr - value))` again - ## Installation ```bash +pip install mpl_interactions["jupyter"] # will install necessary deps for using in jupyter + +# for use only outside of jupyter: pip install mpl_interactions # if using jupyterlab @@ -82,24 +32,6 @@ I use the GitHub [issues](https://github.com/ianhi/mpl-interactions/issues) to k The fuller narrative documentation can be found on [ReadTheDocs](https://mpl-interactions.readthedocs.io/en/latest/). You may also find it helpful to check out the [examples directory](https://github.com/ianhi/mpl-interactions/tree/master/examples). - -## Examples with GIFs! -Tragically, neither GitHub nor the sphinx documentation render the actual moving plots so instead, here are gifs of the functions. The code for these can be found in the notebooks in the examples directory. - - -### interactive_plot -Easily make a line plot interactive: -![](docs/_static/images/interactive-plot.gif) - - -### heatmap_slicer -Compare vertical and horizontal slices across multiple heatmaps: -![](docs/_static/images/heatmap_slicer.gif) - - -### scrolling zoom + middle click pan -![](docs/_static/images/zoom-and-pan.gif) - ## Contributors ✨ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)): From 295736faedc5287edd73b481af11261a7c2a193d Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Mon, 30 Nov 2020 21:55:31 -0500 Subject: [PATCH 09/10] catch edge cases in creating controls also, scalar arguments don't break when they may be passed a positional arg. as in scatter --- mpl_interactions/controller.py | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/mpl_interactions/controller.py b/mpl_interactions/controller.py index 421b9b1c..02c890f4 100644 --- a/mpl_interactions/controller.py +++ b/mpl_interactions/controller.py @@ -307,6 +307,11 @@ def gogogo_controls( ): if controls or (extra_controls and not all([e is None for e in extra_controls])): if extra_controls is not None: + if isinstance(controls, Controls): + # e.g. plt.scatter(x,y, s=ctrls['size'], controls=ctrls) + # so now we pretend as if the controls object was indexed with all of its + # parameters + controls = (controls, list(controls.params.keys())) controls = [controls] + extra_controls if isinstance(controls, tuple): @@ -321,13 +326,16 @@ def gogogo_controls( kwgs = [] for c in controls: if c is not None: + # c[0] is a controls object ctrls.append(c[0]) if c[1] is not None: + # at this point c[1] is a list of the the values indexed from controls kwgs += [*c[1]] extra_keys = set(kwgs) controls = set(ctrls) if len(controls) != 1: raise ValueError("Only one controls object may be used per function") + # now we are garunteed to only have a single entry in controls, so it's ok to pop controls = controls.pop() controls.add_kwargs(kwargs, slider_formats, play_buttons, allow_duplicates=allow_dupes) params = {k: controls.params[k] for k in list(kwargs.keys()) + list(extra_keys)} @@ -346,14 +354,16 @@ def gogogo_controls( def prep_scalar(arg, name=None): if isinstance(arg, tuple): if isinstance(arg[0], Controls): + # index controls. e.g. ctrls['size'] - def f(**kwargs): + def f(*args, **kwargs): return kwargs[arg[1][0]] return f, arg, None elif name is not None: - - def f(**kwargs): + # name will be set by calling function if from ipyplot + # this case is if given an abbreviation e.g.: `s = (0, 10)` + def f(*args, **kwargs): return kwargs[name] return f, None, (name, arg) From be016a6e966728674b8b656ecc82a09236b30c89 Mon Sep 17 00:00:00 2001 From: Ian Hunt-Isaak Date: Mon, 30 Nov 2020 21:58:25 -0500 Subject: [PATCH 10/10] version bump! --- mpl_interactions/_version.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/mpl_interactions/_version.py b/mpl_interactions/_version.py index 8f62ead4..2f13cd62 100644 --- a/mpl_interactions/_version.py +++ b/mpl_interactions/_version.py @@ -1,2 +1,2 @@ -version_info = (0, 14, 2) +version_info = (0, 15, 0) __version__ = ".".join(map(str, version_info))

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