From 0b3152f399c969c34e25252a432e784ff7a5264c Mon Sep 17 00:00:00 2001 From: Ming-Yan Date: Thu, 16 Mar 2023 12:40:51 +0100 Subject: [PATCH 01/11] feat : implemented broken-axis signed - add additional space for "show" option, change the tick labels - using slash for "hint", "show" options --- src/mplhep/plot.py | 206 ++++++++++++++++++++++++ tests/baseline/test_hist2dplot_flow.png | Bin 0 -> 48258 bytes tests/baseline/test_histplot_flow.png | Bin 0 -> 32091 bytes tests/test_basic.py | 48 ++++++ 4 files changed, 254 insertions(+) create mode 100644 tests/baseline/test_hist2dplot_flow.png create mode 100644 tests/baseline/test_histplot_flow.png diff --git a/src/mplhep/plot.py b/src/mplhep/plot.py index 9a74ef0a..c2b8f850 100644 --- a/src/mplhep/plot.py +++ b/src/mplhep/plot.py @@ -70,6 +70,7 @@ def histplot( edges=True, binticks=False, ax=None, + flow=None, **kwargs, ): """ @@ -130,6 +131,8 @@ def histplot( Attempts to draw x-axis ticks coinciding with bin boundaries if feasible. ax : matplotlib.axes.Axes, optional Axes object (if None, last one is fetched or one is created) + flow : str, optional {None, "show", "sum", "hint"} + Whether plot the under/overflow bin. If "show", add additional under/overflow bin. If "sum", add the under/overflow bin content to first/last bin. **kwargs : Keyword arguments passed to underlying matplotlib functions - {'step', 'fill_between', 'errorbar'}. @@ -171,6 +174,42 @@ def histplot( plottables = [ Plottable(h.values(), edges=final_bins, variances=h.variances()) for h in hists ] + # Show under/overflow bins + # "show": Add additional bin with 5 times bin width + if flow == "show": + plottables = [] + final_bins = np.array( + [ + final_bins[0] - (final_bins[-1] - final_bins[0]) * 0.08, + final_bins[0] - (final_bins[-1] - final_bins[0]) * 0.03, + *final_bins, + final_bins[-1] + (final_bins[-1] - final_bins[0]) * 0.03, + final_bins[-1] + (final_bins[-1] - final_bins[0]) * 0.08, + ] + ) + for h in hists: + value, variance = h.view(flow=True)["value"], h.view(flow=True)["variance"] + value, variance = np.insert(value, -1, np.nan), np.insert( + variance, -1, np.nan + ) + value, variance = np.insert(value, 1, np.nan), np.insert( + variance, 1, np.nan + ) + plottables.append(Plottable(value, edges=final_bins, variances=variance)) + # "sum": Add under/overflow bin to first/last bin + elif flow == "sum": + plottables = [] + for h in hists: + value, variance = h.view()["value"], h.view()["variance"] + value[0], value[-1] = ( + value[0] + h.view(flow=True)["value"][0], + value[-1] + h.view(flow=True)["value"][-1], + ) + variance[0], variance[-1] = ( + variance[0] + h.view(flow=True)["variance"][0], + variance[-1] + h.view(flow=True)["variance"][-1], + ) + plottables.append(Plottable(value, edges=final_bins, variances=variance)) if w2 is not None: for _w2, _plottable in zip( @@ -397,12 +436,73 @@ def iterable_not_string(arg): if binticks: _slice = int(round(float(len(final_bins)) / len(ax.get_xticks()))) + 1 ax.set_xticks(final_bins[::_slice]) + elif flow == "show": + if binticks: + _slice = int(round(float(len(final_bins)) / len(ax.get_xticks()))) + 1 + ax.set_xticks(final_bins[::_slice]) else: ax.set_xticks(_bin_centers) ax.set_xticklabels(xtick_labels) if x_axes_label: ax.set_xlabel(x_axes_label) + if flow == "hint" or flow == "show": + underflow, overflow = 0.0, 0.0 + for h in hists: + underflow = underflow + h.view(flow=True)["value"][0] + overflow = overflow + h.view(flow=True)["value"][-1] + d = 0.9 # proportion of vertical to horizontal extent of the slanted line + trans = mpl.transforms.blended_transform_factory(ax.transData, ax.transAxes) + kwargs = dict( + marker=[(-0.5, -d), (0.5, d)], + markersize=15, + linestyle="none", + color="k", + mec="k", + mew=1, + clip_on=False, + transform=trans, + ) + xticks = ax.get_xticks().tolist() + if underflow > 0.0: + if flow == "hint": + ax.plot( + [ + final_bins[0] - (final_bins[-3] - final_bins[2]) * 0.03, + final_bins[0], + ], + [0, 0], + **kwargs, + ) + if flow == "show": + ax.plot( + [final_bins[1], final_bins[2]], + [0, 0], + **kwargs, + ) + xticks[0] = "" + xticks[1] = f"<{final_bins[2]}" + + ax.set_xticklabels(xticks) + if overflow > 0.0: + if flow == "hint": + ax.plot( + [ + final_bins[-1], + final_bins[-1] + (final_bins[-3] - final_bins[2]) * 0.03, + ], + [0, 0], + **kwargs, + ) + if flow == "show": + ax.plot( + [final_bins[-3], final_bins[-2]], + [0, 0], + **kwargs, + ) + xticks[-1] = "" + xticks[-2] = f">{final_bins[-3]}" + ax.set_xticklabels(xticks) return return_artists @@ -420,6 +520,7 @@ def hist2dplot( cmin=None, cmax=None, ax=None, + flow=None, **kwargs, ): """ @@ -460,6 +561,8 @@ def hist2dplot( Colorbar maximum. ax : matplotlib.axes.Axes, optional Axes object (if None, last one is fetched or one is created) + flow : str, optional {None, "show", "sum","hint"} + Whether plot the under/overflow bin. If "show", add additional under/overflow bin. If "sum", add the under/overflow bin content to first/last bin. "hint" would highlight the bins with under/overflow contents **kwargs : Keyword arguments passed to underlying matplotlib function - pcolormesh. @@ -482,6 +585,39 @@ def hist2dplot( H = hist.values() xbins, xtick_labels = get_plottable_protocol_bins(hist.axes[0]) ybins, ytick_labels = get_plottable_protocol_bins(hist.axes[1]) + # Show under/overflow bins + # "show": Add additional bin with 2 times bin width + if flow == "show": + H = hist.view(flow=True)["value"] + + xbins = np.array( + [ + xbins[0] - (xbins[-1] - xbins[0]) * 0.08, + xbins[0] - (xbins[-1] - xbins[0]) * 0.03, + *xbins, + xbins[-1] + (xbins[-1] - xbins[0]) * 0.03, + xbins[-1] + (xbins[-1] - xbins[0]) * 0.08, + ] + ) + ybins = np.array( + [ + ybins[0] - (ybins[-1] - ybins[0]) * 0.08, + ybins[0] - (ybins[-1] - ybins[0]) * 0.03, + *ybins, + ybins[-1] + (ybins[-1] - ybins[0]) * 0.03, + ybins[-1] + (ybins[-1] - ybins[0]) * 0.08, + ] + ) + H = np.insert(H, (1, -1), np.nan, axis=-1) + H = np.insert(H, (1, -1), np.full(np.shape(H)[1], np.nan), axis=0) + + if flow == "sum": + H[0, 0], H[-1, -1], H[0, -1], H[-1, 0] = ( + hist.view(flow=True)["value"][0, 0] + H[0, 0], + hist.view(flow=True)["value"][-1, -1] + H[-1, -1], + hist.view(flow=True)["value"][0, -1] + H[0, -1], + hist.view(flow=True)["value"][-1, 0] + H[-1, 0], + ) xbin_centers = xbins[1:] - np.diff(xbins) / float(2) ybin_centers = ybins[1:] - np.diff(ybins) / float(2) @@ -536,6 +672,76 @@ def hist2dplot( cb_obj = None plt.sca(ax) + if flow == "hint" or flow == "show": + d = 0.9 # proportion of vertical to horizontal extent of the slanted line + trans = mpl.transforms.blended_transform_factory(ax.transData, ax.transAxes) + kwargs = dict( + marker=[(-0.5, -d), (0.5, d)], + markersize=15, + linestyle="none", + color="k", + mec="k", + mew=1, + clip_on=False, + ) + xticks = ax.get_xticks().tolist() + yticks = ax.get_yticks().tolist() + if hist.view(flow=True)["value"][0, 0] > 0.0: + if flow == "hint": + ax.plot( + [xbins[0] - (xbins[-3] - xbins[2]) * 0.03, xbins[0]], + [0, 0], + transform=trans, + **kwargs, + ) + if flow == "show": + ax.plot([xbins[1], xbins[2]], [0, 0], transform=trans, **kwargs) + ax.plot([xbins[0], xbins[0]], [ybins[1], ybins[2]], **kwargs) + xticks[0] = "" + xticks[1] = f"<{xbins[1]}" + ax.set_xticklabels(xticks) + if hist.view(flow=True)["value"][-1, 0] > 0.0: + if flow == "hint": + ax.plot( + [xbins[-1] + (xbins[-3] - xbins[2]) * 0.03, xbins[-1]], + [0, 0], + transform=trans, + **kwargs, + ) + if flow == "show": + ax.plot([xbins[-3], xbins[-2]], [0, 0], transform=trans, **kwargs) + ax.plot([xbins[-1], xbins[-1]], [ybins[1], ybins[2]], **kwargs) + xticks[-1] = "" + xticks[-2] = f">{xbins[-2]}" + ax.set_xticklabels(xticks) + if hist.view(flow=True)["value"][0, -1] > 0.0: + if flow == "hint": + ax.plot( + [xbins[0], xbins[0] - (xbins[-3] - xbins[2]) * 0.03], + [1, 1], + transform=trans, + **kwargs, + ) + if flow == "show": + ax.plot([xbins[1], xbins[2]], [1, 1], transform=trans, **kwargs) + ax.plot([xbins[0], xbins[0]], [ybins[-3], ybins[-2]], **kwargs) + yticks[0] = "" + yticks[1] = f"<{ybins[1]}" + ax.set_yticklabels(yticks) + if hist.view(flow=True)["value"][-1, -1] > 0.0: + if flow == "hint": + ax.plot( + [xbins[-1] + (xbins[-3] - xbins[2]) * 0.03, xbins[-1]], + [1, 1], + transform=trans, + **kwargs, + ) + if flow == "show": + ax.plot([xbins[-3], xbins[-2]], [1, 1], transform=trans, **kwargs) + ax.plot([xbins[-1], xbins[-1]], [ybins[-3], ybins[-2]], **kwargs) + yticks[-1] = "" + yticks[-2] = f">{ybins[-2]}" + ax.set_yticklabels(yticks) _labels: np.ndarray | None = None if isinstance(labels, bool): diff --git a/tests/baseline/test_hist2dplot_flow.png b/tests/baseline/test_hist2dplot_flow.png new file mode 100644 index 0000000000000000000000000000000000000000..e4a13aa2150f6e24257c29fda4a58b628b16ddac GIT binary patch literal 48258 zcmeEud0dU{_w}u0sLWDHMGBP$86qkqIuXq&4U$CBpn=jLLs5vRP^mP}p-D4ID5618 zi3ZI@qvm&Ar+9|n@B96{|G#e^9zC4Sx$o<~uD#b@YwdkidH*l?! z*rIhg*E 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If "show", add additional under/overflow bin. If "sum", add the under/overflow bin content to first/last bin. **kwargs : Keyword arguments passed to underlying matplotlib functions - {'step', 'fill_between', 'errorbar'}. @@ -171,6 +174,42 @@ def histplot( plottables = [ Plottable(h.values(), edges=final_bins, variances=h.variances()) for h in hists ] + # Show under/overflow bins + # "show": Add additional bin with 5 times bin width + if flow == "show": + plottables = [] + final_bins = np.array( + [ + final_bins[0] - (final_bins[-1] - final_bins[0]) * 0.08, + final_bins[0] - (final_bins[-1] - final_bins[0]) * 0.03, + *final_bins, + final_bins[-1] + (final_bins[-1] - final_bins[0]) * 0.03, + final_bins[-1] + (final_bins[-1] - final_bins[0]) * 0.08, + ] + ) + for h in hists: + value, variance = h.view(flow=True)["value"], h.view(flow=True)["variance"] + value, variance = np.insert(value, -1, np.nan), np.insert( + variance, -1, np.nan + ) + value, variance = np.insert(value, 1, np.nan), np.insert( + variance, 1, np.nan + ) + plottables.append(Plottable(value, edges=final_bins, variances=variance)) + # "sum": Add under/overflow bin to first/last bin + elif flow == "sum": + plottables = [] + for h in hists: + value, variance = h.view()["value"], h.view()["variance"] + value[0], value[-1] = ( + value[0] + h.view(flow=True)["value"][0], + value[-1] + h.view(flow=True)["value"][-1], + ) + variance[0], variance[-1] = ( + variance[0] + h.view(flow=True)["variance"][0], + variance[-1] + h.view(flow=True)["variance"][-1], + ) + plottables.append(Plottable(value, edges=final_bins, variances=variance)) if w2 is not None: for _w2, _plottable in zip( @@ -397,12 +436,73 @@ def iterable_not_string(arg): if binticks: _slice = int(round(float(len(final_bins)) / len(ax.get_xticks()))) + 1 ax.set_xticks(final_bins[::_slice]) + elif flow == "show": + if binticks: + _slice = int(round(float(len(final_bins)) / len(ax.get_xticks()))) + 1 + ax.set_xticks(final_bins[::_slice]) else: ax.set_xticks(_bin_centers) ax.set_xticklabels(xtick_labels) if x_axes_label: ax.set_xlabel(x_axes_label) + if flow == "hint" or flow == "show": + underflow, overflow = 0.0, 0.0 + for h in hists: + underflow = underflow + h.view(flow=True)["value"][0] + overflow = overflow + h.view(flow=True)["value"][-1] + d = 0.9 # proportion of vertical to horizontal extent of the slanted line + trans = mpl.transforms.blended_transform_factory(ax.transData, ax.transAxes) + kwargs = dict( + marker=[(-0.5, -d), (0.5, d)], + markersize=15, + linestyle="none", + color="k", + mec="k", + mew=1, + clip_on=False, + transform=trans, + ) + xticks = ax.get_xticks().tolist() + if underflow > 0.0: + if flow == "hint": + ax.plot( + [ + final_bins[0] - (final_bins[-3] - final_bins[2]) * 0.03, + final_bins[0], + ], + [0, 0], + **kwargs, + ) + if flow == "show": + ax.plot( + [final_bins[1], final_bins[2]], + [0, 0], + **kwargs, + ) + xticks[0] = "" + xticks[1] = f"<{final_bins[2]}" + + ax.set_xticklabels(xticks) + if overflow > 0.0: + if flow == "hint": + ax.plot( + [ + final_bins[-1], + final_bins[-1] + (final_bins[-3] - final_bins[2]) * 0.03, + ], + [0, 0], + **kwargs, + ) + if flow == "show": + ax.plot( + [final_bins[-3], final_bins[-2]], + [0, 0], + **kwargs, + ) + xticks[-1] = "" + xticks[-2] = f">{final_bins[-3]}" + ax.set_xticklabels(xticks) return return_artists @@ -420,6 +520,7 @@ def hist2dplot( cmin=None, cmax=None, ax=None, + flow=None, **kwargs, ): """ @@ -460,6 +561,8 @@ def hist2dplot( Colorbar maximum. ax : matplotlib.axes.Axes, optional Axes object (if None, last one is fetched or one is created) + flow : str, optional {None, "show", "sum","hint"} + Whether plot the under/overflow bin. If "show", add additional under/overflow bin. If "sum", add the under/overflow bin content to first/last bin. "hint" would highlight the bins with under/overflow contents **kwargs : Keyword arguments passed to underlying matplotlib function - pcolormesh. @@ -482,6 +585,39 @@ def hist2dplot( H = hist.values() xbins, xtick_labels = get_plottable_protocol_bins(hist.axes[0]) ybins, ytick_labels = get_plottable_protocol_bins(hist.axes[1]) + # Show under/overflow bins + # "show": Add additional bin with 2 times bin width + if flow == "show": + H = hist.view(flow=True)["value"] + + xbins = np.array( + [ + xbins[0] - (xbins[-1] - xbins[0]) * 0.08, + xbins[0] - (xbins[-1] - xbins[0]) * 0.03, + *xbins, + xbins[-1] + (xbins[-1] - xbins[0]) * 0.03, + xbins[-1] + (xbins[-1] - xbins[0]) * 0.08, + ] + ) + ybins = np.array( + [ + ybins[0] - (ybins[-1] - ybins[0]) * 0.08, + ybins[0] - (ybins[-1] - ybins[0]) * 0.03, + *ybins, + ybins[-1] + (ybins[-1] - ybins[0]) * 0.03, + ybins[-1] + (ybins[-1] - ybins[0]) * 0.08, + ] + ) + H = np.insert(H, (1, -1), np.nan, axis=-1) + H = np.insert(H, (1, -1), np.full(np.shape(H)[1], np.nan), axis=0) + + if flow == "sum": + H[0, 0], H[-1, -1], H[0, -1], H[-1, 0] = ( + hist.view(flow=True)["value"][0, 0] + H[0, 0], + hist.view(flow=True)["value"][-1, -1] + H[-1, -1], + hist.view(flow=True)["value"][0, -1] + H[0, -1], + hist.view(flow=True)["value"][-1, 0] + H[-1, 0], + ) xbin_centers = xbins[1:] - np.diff(xbins) / float(2) ybin_centers = ybins[1:] - np.diff(ybins) / float(2) @@ -536,6 +672,76 @@ def hist2dplot( cb_obj = None plt.sca(ax) + if flow == "hint" or flow == "show": + d = 0.9 # proportion of vertical to horizontal extent of the slanted line + trans = mpl.transforms.blended_transform_factory(ax.transData, ax.transAxes) + kwargs = dict( + marker=[(-0.5, -d), (0.5, d)], + markersize=15, + linestyle="none", + color="k", + mec="k", + mew=1, + clip_on=False, + ) + xticks = ax.get_xticks().tolist() + yticks = ax.get_yticks().tolist() + if hist.view(flow=True)["value"][0, 0] > 0.0: + if flow == "hint": + ax.plot( + [xbins[0] - (xbins[-3] - xbins[2]) * 0.03, xbins[0]], + [0, 0], + transform=trans, + **kwargs, + ) + if flow == "show": + ax.plot([xbins[1], xbins[2]], [0, 0], transform=trans, **kwargs) + ax.plot([xbins[0], xbins[0]], [ybins[1], ybins[2]], **kwargs) + xticks[0] = "" + xticks[1] = f"<{xbins[1]}" + ax.set_xticklabels(xticks) + if hist.view(flow=True)["value"][-1, 0] > 0.0: + if flow == "hint": + ax.plot( + [xbins[-1] + (xbins[-3] - xbins[2]) * 0.03, xbins[-1]], + [0, 0], + transform=trans, + **kwargs, + ) + if flow == "show": + ax.plot([xbins[-3], xbins[-2]], [0, 0], transform=trans, **kwargs) + ax.plot([xbins[-1], xbins[-1]], [ybins[1], ybins[2]], **kwargs) + xticks[-1] = "" + xticks[-2] = f">{xbins[-2]}" + ax.set_xticklabels(xticks) + if hist.view(flow=True)["value"][0, -1] > 0.0: + if flow == "hint": + ax.plot( + [xbins[0], xbins[0] - (xbins[-3] - xbins[2]) * 0.03], + [1, 1], + transform=trans, + **kwargs, + ) + if flow == "show": + ax.plot([xbins[1], xbins[2]], [1, 1], transform=trans, **kwargs) + ax.plot([xbins[0], xbins[0]], [ybins[-3], ybins[-2]], **kwargs) + yticks[0] = "" + yticks[1] = f"<{ybins[1]}" + ax.set_yticklabels(yticks) + if hist.view(flow=True)["value"][-1, -1] > 0.0: + if flow == "hint": + ax.plot( + [xbins[-1] + (xbins[-3] - xbins[2]) * 0.03, xbins[-1]], + [1, 1], + transform=trans, + **kwargs, + ) + if flow == "show": + ax.plot([xbins[-3], xbins[-2]], [1, 1], transform=trans, **kwargs) + ax.plot([xbins[-1], xbins[-1]], [ybins[-3], ybins[-2]], **kwargs) + yticks[-1] = "" + yticks[-2] = f">{ybins[-2]}" + ax.set_yticklabels(yticks) _labels: np.ndarray | None = None if isinstance(labels, bool): diff --git a/tests/baseline/test_hist2dplot_flow.png b/tests/baseline/test_hist2dplot_flow.png new file mode 100644 index 0000000000000000000000000000000000000000..e4a13aa2150f6e24257c29fda4a58b628b16ddac GIT binary patch literal 48258 zcmeEud0dU{_w}u0sLWDHMGBP$86qkqIuXq&4U$CBpn=jLLs5vRP^mP}p-D4ID5618 zi3ZI@qvm&Ar+9|n@B96{|G#e^9zC4Sx$o<~uD#b@YwdkidH*l?! z*rIhg*E 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zJZ2xsZ#B9`79MBuz@9j7(!T{tHUtTovFRb}rVd(^tke4(-AD{Y;BZF7fB)gI%as%0UuvCeBiDwI?n+kjc)p=E5Mx~OCIg;LMHU2V92 ztR5#>&lw;ApJDb}?L_L`($;y`YU%n3eC?U==AYZp;NFgz&xcltth3Y(Yo7;=GE-HX zj@6%(db Date: Thu, 6 Apr 2023 17:08:47 +0200 Subject: [PATCH 03/11] feat : set "hint" as default, add ROOT histogram for flow bins - plot: remove None option, put warning for no flow bins histogram - plot: add flow bins option ROOT histogram - test : add two-side,one-side and no flow bins --- .pre-commit-config.yaml | 22 +-- src/mplhep/_deprecate.py | 2 +- src/mplhep/error_estimation.py | 1 + src/mplhep/plot.py | 234 +++++++++++++++--------- src/mplhep/utils.py | 5 +- tests/baseline/test_hist2dplot_flow.png | Bin 48258 -> 34420 bytes tests/baseline/test_histplot_flow.png | Bin 32091 -> 30268 bytes tests/test_basic.py | 48 +++-- 8 files changed, 191 insertions(+), 121 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index d7b7357a..f10e8716 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -3,7 +3,7 @@ ci: repos: - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.3.0 + rev: v4.4.0 hooks: - id: check-added-large-files - id: check-case-conflict @@ -17,58 +17,58 @@ repos: - id: trailing-whitespace - repo: https://github.com/asottile/setup-cfg-fmt - rev: "v2.0.0" + rev: "v2.2.0" hooks: - id: setup-cfg-fmt args: ["--include-version-classifiers", "--max-py-version=3.11"] - repo: https://github.com/PyCQA/isort - rev: 5.10.1 + rev: 5.12.0 hooks: - id: isort args: ["-a", "from __future__ import annotations"] - repo: https://github.com/asottile/pyupgrade - rev: v2.37.3 + rev: v3.3.1 hooks: - id: pyupgrade args: ["--py37-plus"] - repo: https://github.com/nbQA-dev/nbQA - rev: 1.4.0 + rev: 1.6.4 hooks: - id: nbqa-pyupgrade additional_dependencies: [pyupgrade==2.31.0] args: ["--py37-plus"] - repo: https://github.com/psf/black - rev: 22.8.0 + rev: 23.1.0 hooks: - id: black-jupyter - repo: https://github.com/PyCQA/flake8 - rev: 5.0.4 + rev: 6.0.0 hooks: - id: flake8 additional_dependencies: [flake8-bugbear] - repo: https://github.com/pre-commit/mirrors-mypy - rev: v0.971 + rev: v1.1.1 hooks: - id: mypy files: src - additional_dependencies: [uhi~=0.3.0, numpy~=1.21.0] + additional_dependencies: ["uhi~=0.3.1", "numpy~=1.24.0", "matplotlib>3.4"] args: [--show-error-codes] - repo: https://github.com/codespell-project/codespell - rev: "v2.2.1" + rev: "v2.2.4" hooks: - id: codespell args: ["-L", "hist,heros"] exclude: "^examples/Examples.ipynb$" - repo: https://github.com/pre-commit/pygrep-hooks - rev: "v1.9.0" + rev: "v1.10.0" hooks: - id: python-check-blanket-noqa - id: python-check-blanket-type-ignore diff --git a/src/mplhep/_deprecate.py b/src/mplhep/_deprecate.py index 0cb25721..61544476 100644 --- a/src/mplhep/_deprecate.py +++ b/src/mplhep/_deprecate.py @@ -84,7 +84,7 @@ class deprecated_dict(dict): def __init__( self, *args, - message: str = None, + message: str | None = None, warn_once: bool = True, warning=FutureWarning, **kwargs, diff --git a/src/mplhep/error_estimation.py b/src/mplhep/error_estimation.py index 1b8fbf20..4c008f95 100644 --- a/src/mplhep/error_estimation.py +++ b/src/mplhep/error_estimation.py @@ -38,6 +38,7 @@ def poisson_interval(sumw, sumw2, coverage=_coverage1sd): warnings.warn( "All sumw are zero! Cannot compute meaningful error bars", RuntimeWarning, + stacklevel=2, ) return np.vstack([sumw, sumw]) nearest = np.sum( diff --git a/src/mplhep/plot.py b/src/mplhep/plot.py index c2b8f850..e10497cd 100644 --- a/src/mplhep/plot.py +++ b/src/mplhep/plot.py @@ -7,6 +7,7 @@ import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np +import hist as Hist from matplotlib.offsetbox import AnchoredText from matplotlib.transforms import Bbox from mpl_toolkits.axes_grid1 import axes_size, make_axes_locatable @@ -55,7 +56,7 @@ def soft_update_kwargs(kwargs, mods, rc=True): # Histogram plotter def histplot( H, # Histogram object, tuple or array - bins=None, # Bins to be supplied when h is a value array or iterable of arrays + bins=None, # Bins to be supplied when h is a value array or iterable of array *, yerr: ArrayLike | bool | None = None, w2=None, @@ -70,7 +71,7 @@ def histplot( edges=True, binticks=False, ax=None, - flow=None, + flow="hint", **kwargs, ): """ @@ -141,6 +142,7 @@ def histplot( List[Hist1DArtists] """ + # ax check if ax is None: ax = plt.gca() @@ -170,47 +172,85 @@ def histplot( else get_histogram_axes_title(hists[0].axes[0]) ) - # Cast to plottables - plottables = [ - Plottable(h.values(), edges=final_bins, variances=h.variances()) for h in hists - ] # Show under/overflow bins + ## check underflow/overflow bin exist + + underflow, overflow = 0.0, 0.0 + + for h in hists: + if ( + not isinstance(h, Hist.hist.Hist) + and not "uproot.models.TH" in str(type(h)) + and flow is not None + ): + continue + elif isinstance(h, Hist.hist.Hist) and len(h.values(flow=True)) < len( + final_bins + ): + continue + else: + underflow = underflow + h.values(flow=True)[0] + overflow = overflow + h.values(flow=True)[-1] + # "show": Add additional bin with 5 times bin width - if flow == "show": - plottables = [] - final_bins = np.array( - [ - final_bins[0] - (final_bins[-1] - final_bins[0]) * 0.08, - final_bins[0] - (final_bins[-1] - final_bins[0]) * 0.03, - *final_bins, - final_bins[-1] + (final_bins[-1] - final_bins[0]) * 0.03, - final_bins[-1] + (final_bins[-1] - final_bins[0]) * 0.08, - ] - ) - for h in hists: - value, variance = h.view(flow=True)["value"], h.view(flow=True)["variance"] - value, variance = np.insert(value, -1, np.nan), np.insert( - variance, -1, np.nan - ) - value, variance = np.insert(value, 1, np.nan), np.insert( - variance, 1, np.nan - ) + plottables = [] + flow_bins = final_bins + for i, h in enumerate(hists): + value, variance = h.values(), h.variances() + if not isinstance(h, Hist.hist.Hist) and not "uproot.models.TH" in str(type(h)): + print(f"Warning: {type(h)} is not allowed to get flow bins") + flow = None plottables.append(Plottable(value, edges=final_bins, variances=variance)) - # "sum": Add under/overflow bin to first/last bin - elif flow == "sum": - plottables = [] - for h in hists: - value, variance = h.view()["value"], h.view()["variance"] + # check the original hist as flow bins + elif isinstance(h, Hist.hist.Hist) and len(h.values(flow=True)) < len( + final_bins + ): + print(f"Warning: you don't have flow bins stored in {h}") + flow = None + plottables.append(Plottable(value, edges=final_bins, variances=variance)) + elif flow == "hint": + plottables.append(Plottable(value, edges=final_bins, variances=variance)) + elif flow == "show": + if underflow > 0: + if i == 0: + flow_bins = np.insert( + final_bins, + 0, + [ + final_bins[0] - (final_bins[-1] - final_bins[0]) * 0.08, + final_bins[0] - (final_bins[-1] - final_bins[0]) * 0.03, + ], + ) + value, variance = np.insert(value, 0, np.nan), np.insert( + variance, 0, np.nan + ) + value, variance = np.insert( + value, 0, h.values(flow=True)[0] + ), np.insert(value, 0, h.variances(flow=True)[0]) + if overflow > 0: + if i == 0: + flow_bins = np.append( + flow_bins, + [ + final_bins[-1] + (final_bins[-1] - final_bins[0]) * 0.03, + final_bins[-1] + (final_bins[-1] - final_bins[0]) * 0.08, + ], + ) + value, variance = np.append(value, np.nan), np.append(variance, np.nan) + value, variance = np.append(value, h.values(flow=True)[-1]), np.append( + variance, h.variances(flow=True)[-1] + ) + plottables.append(Plottable(value, edges=flow_bins, variances=variance)) + elif flow == "sum": value[0], value[-1] = ( - value[0] + h.view(flow=True)["value"][0], - value[-1] + h.view(flow=True)["value"][-1], + value[0] + h.values(flow=True)[0], + value[-1] + h.values(flow=True)[-1], ) variance[0], variance[-1] = ( - variance[0] + h.view(flow=True)["variance"][0], - variance[-1] + h.view(flow=True)["variance"][-1], + variance[0] + h.variances(flow=True)[0], + variance[-1] + h.variances(flow=True)[-1], ) plottables.append(Plottable(value, edges=final_bins, variances=variance)) - if w2 is not None: for _w2, _plottable in zip( w2.reshape(len(plottables), len(final_bins) - 1), plottables @@ -311,7 +351,7 @@ def iterable_not_string(arg): elif isinstance(sort, list) or isinstance(sort, np.ndarray): if len(sort) != len(plottables): raise ValueError( - f"Sort indexing arrays is of the wrong size - {len(sort)}, {len(plottables)} expected." + f"Sort indexing array is of the wrong size - {len(sort)}, {len(plottables)} expected." ) order = np.asarray(sort) else: @@ -447,10 +487,6 @@ def iterable_not_string(arg): if x_axes_label: ax.set_xlabel(x_axes_label) if flow == "hint" or flow == "show": - underflow, overflow = 0.0, 0.0 - for h in hists: - underflow = underflow + h.view(flow=True)["value"][0] - overflow = overflow + h.view(flow=True)["value"][-1] d = 0.9 # proportion of vertical to horizontal extent of the slanted line trans = mpl.transforms.blended_transform_factory(ax.transData, ax.transAxes) kwargs = dict( @@ -476,12 +512,12 @@ def iterable_not_string(arg): ) if flow == "show": ax.plot( - [final_bins[1], final_bins[2]], + [flow_bins[1], flow_bins[2]], [0, 0], **kwargs, ) xticks[0] = "" - xticks[1] = f"<{final_bins[2]}" + xticks[1] = f"<{flow_bins[2]}" ax.set_xticklabels(xticks) if overflow > 0.0: @@ -496,12 +532,12 @@ def iterable_not_string(arg): ) if flow == "show": ax.plot( - [final_bins[-3], final_bins[-2]], + [flow_bins[-3], flow_bins[-2]], [0, 0], **kwargs, ) xticks[-1] = "" - xticks[-2] = f">{final_bins[-3]}" + xticks[-2] = f">{flow_bins[-3]}" ax.set_xticklabels(xticks) return return_artists @@ -520,7 +556,7 @@ def hist2dplot( cmin=None, cmax=None, ax=None, - flow=None, + flow="hint", **kwargs, ): """ @@ -583,40 +619,73 @@ def hist2dplot( # TODO: use Histogram everywhere H = hist.values() + xbins, xtick_labels = get_plottable_protocol_bins(hist.axes[0]) ybins, ytick_labels = get_plottable_protocol_bins(hist.axes[1]) # Show under/overflow bins # "show": Add additional bin with 2 times bin width - if flow == "show": - H = hist.view(flow=True)["value"] - - xbins = np.array( - [ - xbins[0] - (xbins[-1] - xbins[0]) * 0.08, - xbins[0] - (xbins[-1] - xbins[0]) * 0.03, - *xbins, - xbins[-1] + (xbins[-1] - xbins[0]) * 0.03, - xbins[-1] + (xbins[-1] - xbins[0]) * 0.08, - ] - ) - ybins = np.array( - [ - ybins[0] - (ybins[-1] - ybins[0]) * 0.08, - ybins[0] - (ybins[-1] - ybins[0]) * 0.03, - *ybins, - ybins[-1] + (ybins[-1] - ybins[0]) * 0.03, - ybins[-1] + (ybins[-1] - ybins[0]) * 0.08, - ] + if ( + not isinstance(hist, Hist.hist.Hist) + and not "uproot.models.TH" in str(type(hist)) + and flow is not None + ): + print( + f"Warning: {type(hist)} is not allowed to get flow bins, flow bin option set to None" ) - H = np.insert(H, (1, -1), np.nan, axis=-1) - H = np.insert(H, (1, -1), np.full(np.shape(H)[1], np.nan), axis=0) + flow = None + elif ( + isinstance(hist, Hist.hist.Hist) + and len(hist.values(flow=True)[0]) < len(xbins) + and len(hist.values(flow=True)[1]) < len(ybins) + ): + flow = None + print(f"Warning: you don't have flow bins stored in {h}") + elif flow == "show": + H = hist.values(flow=True) + if hist.values(flow=True)[0, 0]: + xbins = np.array( + [ + xbins[0] - (xbins[-1] - xbins[0]) * 0.08, + xbins[0] - (xbins[-1] - xbins[0]) * 0.03, + *xbins, + ] + ) + if hist.values(flow=True)[-1, 0]: + xbins = np.array( + [ + *xbins, + xbins[-1] + (xbins[-1] - xbins[0]) * 0.03, + xbins[-1] + (xbins[-1] - xbins[0]) * 0.08, + ] + ) + if hist.values(flow=True)[0, -1]: + ybins = np.array( + [ + ybins[0] - (ybins[-1] - ybins[0]) * 0.08, + ybins[0] - (ybins[-1] - ybins[0]) * 0.03, + *ybins, + ] + ) + if hist.values(flow=True)[-1, -1]: + ybins = np.array( + [ + *ybins, + ybins[-1] + (ybins[-1] - ybins[0]) * 0.03, + ybins[-1] + (ybins[-1] - ybins[0]) * 0.08, + ] + ) + + if hist.values(flow=True)[-1, 0] or hist.values(flow=True)[0, 0]: + H = np.insert(H, (1, -1), np.nan, axis=-1) + if hist.values(flow=True)[0, -1] or hist.values(flow=True)[-1, -1]: + H = np.insert(H, (1, -1), np.full(np.shape(H)[1], np.nan), axis=0) - if flow == "sum": + elif flow == "sum": H[0, 0], H[-1, -1], H[0, -1], H[-1, 0] = ( - hist.view(flow=True)["value"][0, 0] + H[0, 0], - hist.view(flow=True)["value"][-1, -1] + H[-1, -1], - hist.view(flow=True)["value"][0, -1] + H[0, -1], - hist.view(flow=True)["value"][-1, 0] + H[-1, 0], + hist.values(flow=True)[0, 0] + H[0, 0], + hist.values(flow=True)[-1, -1] + H[-1, -1], + hist.values(flow=True)[0, -1] + H[0, -1], + hist.values(flow=True)[-1, 0] + H[-1, 0], ) xbin_centers = xbins[1:] - np.diff(xbins) / float(2) ybin_centers = ybins[1:] - np.diff(ybins) / float(2) @@ -686,7 +755,7 @@ def hist2dplot( ) xticks = ax.get_xticks().tolist() yticks = ax.get_yticks().tolist() - if hist.view(flow=True)["value"][0, 0] > 0.0: + if hist.values(flow=True)[0, 0] > 0.0: if flow == "hint": ax.plot( [xbins[0] - (xbins[-3] - xbins[2]) * 0.03, xbins[0]], @@ -697,10 +766,7 @@ def hist2dplot( if flow == "show": ax.plot([xbins[1], xbins[2]], [0, 0], transform=trans, **kwargs) ax.plot([xbins[0], xbins[0]], [ybins[1], ybins[2]], **kwargs) - xticks[0] = "" - xticks[1] = f"<{xbins[1]}" - ax.set_xticklabels(xticks) - if hist.view(flow=True)["value"][-1, 0] > 0.0: + if hist.values(flow=True)[-1, 0] > 0.0: if flow == "hint": ax.plot( [xbins[-1] + (xbins[-3] - xbins[2]) * 0.03, xbins[-1]], @@ -711,10 +777,7 @@ def hist2dplot( if flow == "show": ax.plot([xbins[-3], xbins[-2]], [0, 0], transform=trans, **kwargs) ax.plot([xbins[-1], xbins[-1]], [ybins[1], ybins[2]], **kwargs) - xticks[-1] = "" - xticks[-2] = f">{xbins[-2]}" - ax.set_xticklabels(xticks) - if hist.view(flow=True)["value"][0, -1] > 0.0: + if hist.values(flow=True)[0, -1] > 0.0: if flow == "hint": ax.plot( [xbins[0], xbins[0] - (xbins[-3] - xbins[2]) * 0.03], @@ -725,10 +788,8 @@ def hist2dplot( if flow == "show": ax.plot([xbins[1], xbins[2]], [1, 1], transform=trans, **kwargs) ax.plot([xbins[0], xbins[0]], [ybins[-3], ybins[-2]], **kwargs) - yticks[0] = "" - yticks[1] = f"<{ybins[1]}" - ax.set_yticklabels(yticks) - if hist.view(flow=True)["value"][-1, -1] > 0.0: + + if hist.values(flow=True)[-1, -1] > 0.0: if flow == "hint": ax.plot( [xbins[-1] + (xbins[-3] - xbins[2]) * 0.03, xbins[-1]], @@ -739,9 +800,6 @@ def hist2dplot( if flow == "show": ax.plot([xbins[-3], xbins[-2]], [1, 1], transform=trans, **kwargs) ax.plot([xbins[-1], xbins[-1]], [ybins[-3], ybins[-2]], **kwargs) - yticks[-1] = "" - yticks[-2] = f">{ybins[-2]}" - ax.set_yticklabels(yticks) _labels: np.ndarray | None = None if isinstance(labels, bool): diff --git a/src/mplhep/utils.py b/src/mplhep/utils.py index 0e77dd84..57c3b734 100644 --- a/src/mplhep/utils.py +++ b/src/mplhep/utils.py @@ -40,7 +40,6 @@ def hist_object_handler( ), *bins: Sequence[float | None], ) -> PlottableHistogram: - if not bins or all(b is None for b in bins): if isinstance(hist, list): if not bins and len(hist) > 0 and not isinstance(hist[0], (list, Real)): @@ -124,7 +123,6 @@ def _process_histogram_parts_iter( def get_histogram_axes_title(axis: Any) -> str: - if hasattr(axis, "label"): return axis.label # Classic support for older hist, deprecated @@ -211,7 +209,8 @@ def calculate_relative(method_fcn, variances): warnings.warn( "Integer weights indicate poissonian data. 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zJZ2xsZ#B9`79MBuz@9j7(!T{tHUtTovFRb}rVd(^tke4(-AD{Y;BZF7fB)gI%as%0UuvCeBiDwI?n+kjc)p=E5Mx~OCIg;LMHU2V92 ztR5#>&lw;ApJDb}?L_L`($;y`YU%n3eC?U==AYZp;NFgz&xcltth3Y(Yo7;=GE-HX zj@6%(db 5] + no_flow = np.random.normal(10, 3, 400) + no_flow = no_flow[(no_flow < 15) & (no_flow > 5)] + h.fill(np.random.normal(10, 3, 400)) + h2.fill(one_side) + h3.fill(no_flow) + fig, axs = plt.subplots(1, 3, sharey=True, figsize=(15, 5)) + axs = axs.flatten() + hep.histplot(h3, ax=axs[2], flow="hint") + hep.histplot(h3, ax=axs[2], flow="show") + hep.histplot(h3, ax=axs[2], flow="sum") + hep.histplot(h2, ax=axs[1], flow="hint") + hep.histplot(h2, ax=axs[1], flow="show") + hep.histplot(h2, ax=axs[1], flow="sum") + hep.histplot(h, ax=axs[0], flow="hint", label="hint") + hep.histplot(h, ax=axs[0], flow="show", label="show") + hep.histplot(h, ax=axs[0], flow="sum", label="sum") + + axs[0].set_title("Two-side overflow", fontsize=18) + axs[1].set_title("One-side overflow", fontsize=18) + axs[2].set_title("No overflow", fontsize=18) fig.subplots_adjust(hspace=0.1, wspace=0.1) + axs[0].legend() return fig @@ -206,18 +220,16 @@ def test_hist2dplot_flow(): hist.storage.Weight(), ) h.fill(np.random.normal(10, 3, 400), np.random.normal(0, 4, 400)) - fig, axs = plt.subplots(2, 2, figsize=(10, 10)) + fig, axs = plt.subplots(1, 3, figsize=(15, 5)) axs = axs.flatten() hep.hist2dplot(h, ax=axs[0], flow="hint") - hep.hist2dplot(h, ax=axs[1], flow="None") - hep.hist2dplot(h, ax=axs[2], flow="show") - hep.hist2dplot(h, ax=axs[3], flow="sum") + hep.hist2dplot(h, ax=axs[1], flow="show") + hep.hist2dplot(h, ax=axs[2], flow="sum") axs[0].set_title("Default", fontsize=18) - axs[1].set_title("None", fontsize=18) - axs[2].set_title("Show", fontsize=18) - axs[3].set_title("Sum", fontsize=18) + axs[1].set_title("Show", fontsize=18) + axs[2].set_title("Sum", fontsize=18) fig.subplots_adjust(hspace=0.1, wspace=0.1) return fig From 199430685ff73788a942ab9862fd9590a258f297 Mon Sep 17 00:00:00 2001 From: Ming-Yan Date: Tue, 11 Apr 2023 16:52:23 +0200 Subject: [PATCH 04/11] feat : add more tests - plot/test: remove None options - test: add dedicated test for uproot/hist with various flow scheme - test: add type check (numpy/hist with flow=False) [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- src/mplhep/plot.py | 6 +- tests/baseline/test_histplot_flow.png | Bin 30268 -> 23312 bytes tests/baseline/test_histplot_hist_flow.png | Bin 0 -> 43632 bytes tests/baseline/test_histplot_type_flow.png | Bin 0 -> 17513 bytes tests/baseline/test_histplot_uproot_flow.png | Bin 0 -> 43105 bytes tests/test_basic.py | 109 +++++++++++++++---- 6 files changed, 93 insertions(+), 22 deletions(-) create mode 100644 tests/baseline/test_histplot_hist_flow.png create mode 100644 tests/baseline/test_histplot_type_flow.png create mode 100644 tests/baseline/test_histplot_uproot_flow.png diff --git a/src/mplhep/plot.py b/src/mplhep/plot.py index e10497cd..51d046b3 100644 --- a/src/mplhep/plot.py +++ b/src/mplhep/plot.py @@ -4,10 +4,10 @@ from collections import OrderedDict, namedtuple from typing import TYPE_CHECKING, Any, Union +import hist as Hist import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np -import hist as Hist from matplotlib.offsetbox import AnchoredText from matplotlib.transforms import Bbox from mpl_toolkits.axes_grid1 import axes_size, make_axes_locatable @@ -132,7 +132,7 @@ def histplot( Attempts to draw x-axis ticks coinciding with bin boundaries if feasible. ax : matplotlib.axes.Axes, optional Axes object (if None, last one is fetched or one is created) - flow : str, optional {None, "show", "sum", "hint"} + flow : str, optional { "show", "sum", "hint"} Whether plot the under/overflow bin. If "show", add additional under/overflow bin. If "sum", add the under/overflow bin content to first/last bin. **kwargs : Keyword arguments passed to underlying matplotlib functions - @@ -597,7 +597,7 @@ def hist2dplot( Colorbar maximum. ax : matplotlib.axes.Axes, optional Axes object (if None, last one is fetched or one is created) - flow : str, optional {None, "show", "sum","hint"} + flow : str, optional {"show", "sum","hint"} Whether plot the under/overflow bin. If "show", add additional under/overflow bin. If "sum", add the under/overflow bin content to first/last bin. 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zp#?uvwKdih`K%%%c(FO=N@291brPP|nti7iSPc)Ljl>6vtki}H5OE~EC3~XxRs_Hm z17J0_CXbW{QNpPdr1ouFzI-{nr`{+X2($XoQ}lI%iXq<-otS7Q>WyWrm0_k6*uGUz z&;!juX*CjLBLWPtp=$!^`Nx&Bb8 z)@g0+ws(r$UPPxrGD?|{Z|Gy({SY24$;q^VOXdL%w3(g@mX-yStP05Dl#fH;RY1}s zXh(iMFar;D;scs4Jh|oa8s~MU75;V?BICZ@g}~w2E!KC)$*qKYZ;AeTJ|N$YI-_Q} zh4gEvqS?Mr1P}`qA$;V%acu1%jEd$X&wdzT9v|vaN(lLUNyN&%zZ;$Iky{iuSR5Ee zl)#JdRdpbLp4I`&a)cZVeIhp`YZ1$CAr0KaXd&Zgx!VLVV+nR&=-fDI%HIb1?V(|? zc(;J_b~ta?FNqgxTM0n9Yki`8DnSpLfVr&iM}HOnHuM9K3=tW^Q-a>)fFIWF;*E)m z>m3>DPr|7wD!K*Xn64$K-7 zlmo=fb;sA^Z;sHuteoFzkM5UeGo%i39v)u_m<7JzR0>FRJ}~h05YEfAU8L;OqueiW zF*wGsFp|IL%%aCl=f}ctJ?>1X2aOBnqbgL%4VO8ZmP 5] - no_flow = np.random.normal(10, 3, 400) - no_flow = no_flow[(no_flow < 15) & (no_flow > 5)] - h.fill(np.random.normal(10, 3, 400)) - h2.fill(one_side) - h3.fill(no_flow) - fig, axs = plt.subplots(1, 3, sharey=True, figsize=(15, 5)) + h4 = hist.Hist(hist.axis.Regular(20, 5, 15, name="x"), hist.storage.Weight()) + + h.fill(entries) + h2.fill(entries[entries < 15]) + h3.fill(entries[entries > 5]) + h4.fill(entries[(entries > 5) & (entries < 15)]) + import uproot + + f = uproot.recreate("flow_th1.root") + f["h"] = h + f["h2"] = h2 + f["h3"] = h3 + f["h4"] = h4 + fig, axs = plt.subplots(2, 2, sharey=True, figsize=(10, 10)) axs = axs.flatten() - hep.histplot(h3, ax=axs[2], flow="hint") + + hep.histplot(h, ax=axs[0], flow="show") + hep.histplot(h2, ax=axs[1], flow="show") hep.histplot(h3, ax=axs[2], flow="show") - hep.histplot(h3, ax=axs[2], flow="sum") - hep.histplot(h2, ax=axs[1], flow="hint") + hep.histplot(h4, ax=axs[3], flow="show") + + axs[0].set_title("Two-side overflow", fontsize=18) + axs[1].set_title("Left-side overflow", fontsize=18) + axs[2].set_title("Right-side overflow", fontsize=18) + axs[3].set_title("No overflow", fontsize=18) + fig.subplots_adjust(hspace=0.2, wspace=0.2) + axs[0].legend() + return fig + + +@pytest.mark.mpl_image_compare(style="default") +def test_histplot_uproot_flow(): + np.random.seed(0) + entries = np.random.normal(10, 3, 400) + import uproot + + f = uproot.open("flow_th1.root") + h = f["h"] + h2 = f["h2"] + h3 = f["h3"] + h4 = f["h4"] + + fig, axs = plt.subplots(2, 2, sharey=True, figsize=(10, 10)) + axs = axs.flatten() + + hep.histplot(h, ax=axs[0], flow="show") hep.histplot(h2, ax=axs[1], flow="show") - hep.histplot(h2, ax=axs[1], flow="sum") - hep.histplot(h, ax=axs[0], flow="hint", label="hint") - hep.histplot(h, ax=axs[0], flow="show", label="show") - hep.histplot(h, ax=axs[0], flow="sum", label="sum") + hep.histplot(h3, ax=axs[2], flow="show") + hep.histplot(h4, ax=axs[3], flow="show") axs[0].set_title("Two-side overflow", fontsize=18) - axs[1].set_title("One-side overflow", fontsize=18) - axs[2].set_title("No overflow", fontsize=18) - fig.subplots_adjust(hspace=0.1, wspace=0.1) + axs[1].set_title("Left-side overflow", fontsize=18) + axs[2].set_title("Right-side overflow", fontsize=18) + axs[3].set_title("No overflow", fontsize=18) + fig.subplots_adjust(hspace=0.2, wspace=0.2) axs[0].legend() return fig +@pytest.mark.mpl_image_compare(style="default") +def test_histplot_type_flow(): + np.random.seed(0) + entries = np.random.normal(10, 3, 400) + + histh = hist.Hist( + hist.axis.Regular(20, 5, 15, name="x", flow=False), hist.storage.Weight() + ) + nph, bins = np.histogram(entries, bins=20, range=(5, 15)) + histh.fill(entries) + + fig, axs = plt.subplots(1, 2, sharex=True, sharey=True, figsize=(10, 5)) + axs = axs.flatten() + + hep.histplot(histh, ax=axs[0], flow="hint") + hep.histplot(nph, bins, ax=axs[1], flow="hint") + + axs[0].set_title("hist, noflow bin", fontsize=18) + axs[1].set_title("numpy hist", fontsize=18) + return fig + + @pytest.mark.mpl_image_compare(style="default", remove_text=True) def test_histplot_multiple(): np.random.seed(0) From 293564635a9e2cf79921aac6911a0c431d7e8676 Mon Sep 17 00:00:00 2001 From: Ming-Yan Date: Thu, 13 Apr 2023 21:43:50 +0200 Subject: [PATCH 05/11] f eat : m feat : minor fixes - plot: fix warning for histplot - plot: rename to conflict with hist - plot: change slash size - test: make tests independent --- src/mplhep/plot.py | 78 ++++++++++--------- tests/baseline/test_histplot_flow.png | Bin 23312 -> 34469 bytes tests/baseline/test_histplot_hist_flow.png | Bin 43632 -> 44588 bytes tests/baseline/test_histplot_type_flow.png | Bin 17513 -> 15149 bytes tests/baseline/test_histplot_uproot_flow.png | Bin 43105 -> 43245 bytes tests/test_basic.py | 48 +++++++----- 6 files changed, 71 insertions(+), 55 deletions(-) diff --git a/src/mplhep/plot.py b/src/mplhep/plot.py index 51d046b3..3d2361b2 100644 --- a/src/mplhep/plot.py +++ b/src/mplhep/plot.py @@ -4,7 +4,7 @@ from collections import OrderedDict, namedtuple from typing import TYPE_CHECKING, Any, Union -import hist as Hist +import hist import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np @@ -132,7 +132,7 @@ def histplot( Attempts to draw x-axis ticks coinciding with bin boundaries if feasible. ax : matplotlib.axes.Axes, optional Axes object (if None, last one is fetched or one is created) - flow : str, optional { "show", "sum", "hint"} + flow : str, optional { "show", "sum", "hint", None} Whether plot the under/overflow bin. If "show", add additional under/overflow bin. If "sum", add the under/overflow bin content to first/last bin. **kwargs : Keyword arguments passed to underlying matplotlib functions - @@ -179,12 +179,12 @@ def histplot( for h in hists: if ( - not isinstance(h, Hist.hist.Hist) + not isinstance(h, hist.hist.Hist) and not "uproot.models.TH" in str(type(h)) and flow is not None ): continue - elif isinstance(h, Hist.hist.Hist) and len(h.values(flow=True)) < len( + elif isinstance(h, hist.hist.Hist) and len(h.values(flow=True)) < len( final_bins ): continue @@ -197,12 +197,16 @@ def histplot( flow_bins = final_bins for i, h in enumerate(hists): value, variance = h.values(), h.variances() - if not isinstance(h, Hist.hist.Hist) and not "uproot.models.TH" in str(type(h)): + if ( + not isinstance(h, hist.hist.Hist) + and not "uproot.models.TH" in str(type(h)) + and flow is not None + ): print(f"Warning: {type(h)} is not allowed to get flow bins") flow = None plottables.append(Plottable(value, edges=final_bins, variances=variance)) # check the original hist as flow bins - elif isinstance(h, Hist.hist.Hist) and len(h.values(flow=True)) < len( + elif isinstance(h, hist.hist.Hist) and len(h.values(flow=True)) < len( final_bins ): print(f"Warning: you don't have flow bins stored in {h}") @@ -251,6 +255,8 @@ def histplot( variance[-1] + h.variances(flow=True)[-1], ) plottables.append(Plottable(value, edges=final_bins, variances=variance)) + else: + plottables.append(Plottable(value, edges=final_bins, variances=variance)) if w2 is not None: for _w2, _plottable in zip( w2.reshape(len(plottables), len(final_bins) - 1), plottables @@ -489,9 +495,10 @@ def iterable_not_string(arg): if flow == "hint" or flow == "show": d = 0.9 # proportion of vertical to horizontal extent of the slanted line trans = mpl.transforms.blended_transform_factory(ax.transData, ax.transAxes) + ax_h = ax.bbox.height kwargs = dict( marker=[(-0.5, -d), (0.5, d)], - markersize=15, + markersize=ax_h * 0.05, linestyle="none", color="k", mec="k", @@ -597,7 +604,7 @@ def hist2dplot( Colorbar maximum. ax : matplotlib.axes.Axes, optional Axes object (if None, last one is fetched or one is created) - flow : str, optional {"show", "sum","hint"} + flow : str, optional {"show", "sum","hint", None} Whether plot the under/overflow bin. If "show", add additional under/overflow bin. If "sum", add the under/overflow bin content to first/last bin. "hint" would highlight the bins with under/overflow contents **kwargs : Keyword arguments passed to underlying matplotlib function - pcolormesh. @@ -615,34 +622,34 @@ def hist2dplot( if not isinstance(ax, plt.Axes): raise ValueError("ax must be a matplotlib Axes object") - hist = hist_object_handler(H, xbins, ybins) + h = hist_object_handler(H, xbins, ybins) # TODO: use Histogram everywhere - H = hist.values() + H = h.values() - xbins, xtick_labels = get_plottable_protocol_bins(hist.axes[0]) - ybins, ytick_labels = get_plottable_protocol_bins(hist.axes[1]) + xbins, xtick_labels = get_plottable_protocol_bins(h.axes[0]) + ybins, ytick_labels = get_plottable_protocol_bins(h.axes[1]) # Show under/overflow bins # "show": Add additional bin with 2 times bin width if ( - not isinstance(hist, Hist.hist.Hist) + not isinstance(h, hist.hist.Hist) and not "uproot.models.TH" in str(type(hist)) and flow is not None ): print( - f"Warning: {type(hist)} is not allowed to get flow bins, flow bin option set to None" + f"Warning: {type(h)} is not allowed to get flow bins, flow bin option set to None" ) flow = None elif ( - isinstance(hist, Hist.hist.Hist) - and len(hist.values(flow=True)[0]) < len(xbins) - and len(hist.values(flow=True)[1]) < len(ybins) + isinstance(h, hist.hist.Hist) + and len(h.values(flow=True)[0]) < len(xbins) + and len(h.values(flow=True)[1]) < len(ybins) ): flow = None print(f"Warning: you don't have flow bins stored in {h}") elif flow == "show": - H = hist.values(flow=True) - if hist.values(flow=True)[0, 0]: + H = h.values(flow=True) + if h.values(flow=True)[0, 0]: xbins = np.array( [ xbins[0] - (xbins[-1] - xbins[0]) * 0.08, @@ -650,7 +657,7 @@ def hist2dplot( *xbins, ] ) - if hist.values(flow=True)[-1, 0]: + if h.values(flow=True)[-1, 0]: xbins = np.array( [ *xbins, @@ -658,7 +665,7 @@ def hist2dplot( xbins[-1] + (xbins[-1] - xbins[0]) * 0.08, ] ) - if hist.values(flow=True)[0, -1]: + if h.values(flow=True)[0, -1]: ybins = np.array( [ ybins[0] - (ybins[-1] - ybins[0]) * 0.08, @@ -666,7 +673,7 @@ def hist2dplot( *ybins, ] ) - if hist.values(flow=True)[-1, -1]: + if h.values(flow=True)[-1, -1]: ybins = np.array( [ *ybins, @@ -675,28 +682,28 @@ def hist2dplot( ] ) - if hist.values(flow=True)[-1, 0] or hist.values(flow=True)[0, 0]: + if h.values(flow=True)[-1, 0] or h.values(flow=True)[0, 0]: H = np.insert(H, (1, -1), np.nan, axis=-1) - if hist.values(flow=True)[0, -1] or hist.values(flow=True)[-1, -1]: + if h.values(flow=True)[0, -1] or h.values(flow=True)[-1, -1]: H = np.insert(H, (1, -1), np.full(np.shape(H)[1], np.nan), axis=0) elif flow == "sum": H[0, 0], H[-1, -1], H[0, -1], H[-1, 0] = ( - hist.values(flow=True)[0, 0] + H[0, 0], - hist.values(flow=True)[-1, -1] + H[-1, -1], - hist.values(flow=True)[0, -1] + H[0, -1], - hist.values(flow=True)[-1, 0] + H[-1, 0], + h.values(flow=True)[0, 0] + H[0, 0], + h.values(flow=True)[-1, -1] + H[-1, -1], + h.values(flow=True)[0, -1] + H[0, -1], + h.values(flow=True)[-1, 0] + H[-1, 0], ) xbin_centers = xbins[1:] - np.diff(xbins) / float(2) ybin_centers = ybins[1:] - np.diff(ybins) / float(2) _x_axes_label = ax.get_xlabel() x_axes_label = ( - _x_axes_label if _x_axes_label != "" else get_histogram_axes_title(hist.axes[0]) + _x_axes_label if _x_axes_label != "" else get_histogram_axes_title(h.axes[0]) ) _y_axes_label = ax.get_ylabel() y_axes_label = ( - _y_axes_label if _y_axes_label != "" else get_histogram_axes_title(hist.axes[1]) + _y_axes_label if _y_axes_label != "" else get_histogram_axes_title(h.axes[1]) ) H = H.T @@ -744,9 +751,10 @@ def hist2dplot( if flow == "hint" or flow == "show": d = 0.9 # proportion of vertical to horizontal extent of the slanted line trans = mpl.transforms.blended_transform_factory(ax.transData, ax.transAxes) + ax_h = ax.bbox.height kwargs = dict( marker=[(-0.5, -d), (0.5, d)], - markersize=15, + markersize=ax_h * 0.05, linestyle="none", color="k", mec="k", @@ -755,7 +763,7 @@ def hist2dplot( ) xticks = ax.get_xticks().tolist() yticks = ax.get_yticks().tolist() - if hist.values(flow=True)[0, 0] > 0.0: + if h.values(flow=True)[0, 0] > 0.0: if flow == "hint": ax.plot( [xbins[0] - (xbins[-3] - xbins[2]) * 0.03, xbins[0]], @@ -766,7 +774,7 @@ def hist2dplot( if flow == "show": ax.plot([xbins[1], xbins[2]], [0, 0], transform=trans, **kwargs) ax.plot([xbins[0], xbins[0]], [ybins[1], ybins[2]], **kwargs) - if hist.values(flow=True)[-1, 0] > 0.0: + if h.values(flow=True)[-1, 0] > 0.0: if flow == "hint": ax.plot( [xbins[-1] + (xbins[-3] - xbins[2]) * 0.03, xbins[-1]], @@ -777,7 +785,7 @@ def hist2dplot( if flow == "show": ax.plot([xbins[-3], xbins[-2]], [0, 0], transform=trans, **kwargs) ax.plot([xbins[-1], xbins[-1]], [ybins[1], ybins[2]], **kwargs) - if hist.values(flow=True)[0, -1] > 0.0: + if h.values(flow=True)[0, -1] > 0.0: if flow == "hint": ax.plot( [xbins[0], xbins[0] - (xbins[-3] - xbins[2]) * 0.03], @@ -789,7 +797,7 @@ def hist2dplot( ax.plot([xbins[1], xbins[2]], [1, 1], transform=trans, **kwargs) 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uproot.recreate("flow_th1.root") - f["h"] = h - f["h2"] = h2 - f["h3"] = h3 - f["h4"] = h4 + h2.fill(entries) + h3.fill(entries) + h4.fill(entries) fig, axs = plt.subplots(2, 2, sharey=True, figsize=(10, 10)) axs = axs.flatten() @@ -170,8 +165,23 @@ def test_histplot_hist_flow(): def test_histplot_uproot_flow(): np.random.seed(0) entries = np.random.normal(10, 3, 400) + h = hist.new.Reg(20, 5, 15, name="x", flow=True).Weight() + h2 = hist.new.Reg(20, 5, 15, name="x", flow=True).Weight() + h3 = hist.new.Reg(20, 5, 15, name="x", flow=True).Weight() + h4 = hist.new.Reg(20, 5, 15, name="x", flow=True).Weight() + + h.fill(entries) + h2.fill(entries[entries < 15]) + h3.fill(entries[entries > 5]) + h4.fill(entries[(entries > 5) & (entries < 15)]) import uproot + f = uproot.recreate("flow_th1.root") + f["h"] = h + f["h2"] = h2 + f["h3"] = h3 + f["h4"] = h4 + f = uproot.open("flow_th1.root") h = f["h"] h2 = f["h2"] @@ -200,16 +210,14 @@ def test_histplot_type_flow(): np.random.seed(0) entries = np.random.normal(10, 3, 400) - histh = hist.Hist( - hist.axis.Regular(20, 5, 15, name="x", flow=False), hist.storage.Weight() - ) + histh = hist.new.Reg(20, 5, 15, name="x", flow=False).Weight() nph, bins = np.histogram(entries, bins=20, range=(5, 15)) histh.fill(entries) fig, axs = plt.subplots(1, 2, sharex=True, sharey=True, figsize=(10, 5)) axs = axs.flatten() - hep.histplot(histh, ax=axs[0], flow="hint") + hep.histplot(histh, ax=axs[0], flow="hint", yerr=False) hep.histplot(nph, bins, ax=axs[1], flow="hint") axs[0].set_title("hist, noflow bin", fontsize=18) From 3a737ac7675affc8f98c4d56c040a2949d326bc5 Mon Sep 17 00:00:00 2001 From: Ming-Yan Date: Fri, 14 Apr 2023 15:03:34 +0200 Subject: [PATCH 06/11] fix : under/overflow bins - plot: fix hist under/overflow bins check - plot: tmpfix on hist value/variances - add hist to setup.py --- setup.py | 1 + src/mplhep/plot.py | 31 +++++++++++++-------- tests/baseline/test_histplot_flow.png | Bin 34469 -> 34633 bytes tests/baseline/test_histplot_hist_flow.png | Bin 44588 -> 43766 bytes 4 files changed, 20 insertions(+), 12 deletions(-) diff --git a/setup.py b/setup.py index 1de27c0d..ec5bc6d7 100644 --- a/setup.py +++ b/setup.py @@ -14,6 +14,7 @@ "uproot", "uproot4", "boost_histogram", + "hist", "scikit-hep-testdata", ], "dev": ["flake8", "jupyter", "bumpversion", "twine", "black", "pre-commit"], diff --git a/src/mplhep/plot.py b/src/mplhep/plot.py index 3d2361b2..ed8c9ef8 100644 --- a/src/mplhep/plot.py +++ b/src/mplhep/plot.py @@ -11,7 +11,7 @@ from matplotlib.offsetbox import AnchoredText from matplotlib.transforms import Bbox from mpl_toolkits.axes_grid1 import axes_size, make_axes_locatable - +import inspect from .utils import ( Plottable, get_histogram_axes_title, @@ -179,15 +179,18 @@ def histplot( for h in hists: if ( - not isinstance(h, hist.hist.Hist) - and not "uproot.models.TH" in str(type(h)) + hasattr(h, "values") + and not "flow" in inspect.getfullargspec(h.values).args and flow is not None ): continue - elif isinstance(h, hist.hist.Hist) and len(h.values(flow=True)) < len( - final_bins - ): + elif flow is None: continue + elif isinstance(h, hist.hist.Hist): + if h.axes[0].traits.underflow: + underflow = underflow + h.values(flow=True)[0] + if h.axes[0].traits.overflow: + overflow = overflow + h.values(flow=True)[0] else: underflow = underflow + h.values(flow=True)[0] overflow = overflow + h.values(flow=True)[-1] @@ -196,13 +199,17 @@ def histplot( plottables = [] flow_bins = final_bins for i, h in enumerate(hists): - value, variance = h.values(), h.variances() + if isinstance(h, hist.hist.Hist): + value, variance = h.values().copy(), h.variances().copy() + else: + value, variance = h.values(), h.variances() if ( - not isinstance(h, hist.hist.Hist) - and not "uproot.models.TH" in str(type(h)) + hasattr(h, "values") + and not "flow" in inspect.getfullargspec(h.values).args and flow is not None ): - print(f"Warning: {type(h)} is not allowed to get flow bins") + if flow == "sum" or flow == "show": + print(f"Warning: {type(h)} is not allowed to get flow bins") flow = None plottables.append(Plottable(value, edges=final_bins, variances=variance)) # check the original hist as flow bins @@ -632,8 +639,8 @@ def hist2dplot( # Show under/overflow bins # "show": Add additional bin with 2 times bin width if ( - not isinstance(h, hist.hist.Hist) - and not "uproot.models.TH" in str(type(hist)) + hasattr(h, "values") + and not "flow" in inspect.getfullargspec(h.values).args and flow is not None ): print( diff --git a/tests/baseline/test_histplot_flow.png b/tests/baseline/test_histplot_flow.png index 32925c4e0ed3a266d29bd9375be8801e112ba92a..9b9c41a49855b15f14317d91f347734ab6b0b9d3 100644 GIT binary patch literal 34633 zcmeFZ1yq%5*EM_-A_juT7734tiV6k@qJ&~05=x_higc-fNNm^^*eC{qq;xAGuqhiA z>5@hf>5y)|dEq&pC*Sw|zGsa8AOAl-$8(jztg*=2mZc|gkXfe>XxmT}=Lzx;Q-n;oDMh(Gm*2BX z?YwVCt;2b>f!e95iaV#==B_-kX3xc-kIJVsRj%q7%HMi_OULGD%Hsa8BblojP8~N&*yKHO 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z{kQoY5OF{bk@yjG`pQ-u-6xRo-JhMV$yRO}Po{1sD9}Uihb0eHs_!K@55KOoIcCn9 zSb~hIdQ%;^4Hmlo7LYt za>NQsETe}QQMqlZ$mn1IhgJSo@|1?L79|{jE3e$^|G*VB86V-fkqnIkXi9$+#5EoHiYd*}0c71&4K0Xd^IzF+FP|FviL-$#YFRL#Svfgq#KfI3QqoCbek497L2 z>_7W1gsx1jU`JS#fj_STQ{xKvWHddqJpd$%asix?KyIOr>|yBX8W(=^jG^4`?N_^V zDekA!Idq+w&sZt z%70!z-1c#ihetelK4rTtbi!!U8Cj^G-dwi^Nw2=QU*pbo92c6y`n5Z$@s$Gczxy!o zVE?VtxdhSwGphOj-}W!&A@0RLHaq^ick;`^vTb_Vnn%7X=E6r)6pkt%iT(b Date: Fri, 14 Apr 2023 13:14:32 +0000 Subject: [PATCH 07/11] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- src/mplhep/plot.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/mplhep/plot.py b/src/mplhep/plot.py index ed8c9ef8..f5b4e2b9 100644 --- a/src/mplhep/plot.py +++ b/src/mplhep/plot.py @@ -1,6 +1,7 @@ from __future__ import annotations import collections.abc +import inspect from collections import OrderedDict, namedtuple from typing import TYPE_CHECKING, Any, Union @@ -11,7 +12,7 @@ from matplotlib.offsetbox import AnchoredText from matplotlib.transforms import Bbox from mpl_toolkits.axes_grid1 import axes_size, make_axes_locatable -import inspect + from .utils import ( Plottable, get_histogram_axes_title, From 5dc33ed98f426e7a7422101fc2859b6560fe7945 Mon Sep 17 00:00:00 2001 From: Ming-Yan Date: Sun, 16 Apr 2023 19:01:16 +0200 Subject: [PATCH 08/11] fix : remove hist --- src/mplhep/plot.py | 24 ++++++++++-------------- 1 file changed, 10 insertions(+), 14 deletions(-) diff --git a/src/mplhep/plot.py b/src/mplhep/plot.py index ed8c9ef8..66e0637e 100644 --- a/src/mplhep/plot.py +++ b/src/mplhep/plot.py @@ -1,17 +1,17 @@ from __future__ import annotations import collections.abc +import inspect from collections import OrderedDict, namedtuple from typing import TYPE_CHECKING, Any, Union -import hist import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np from matplotlib.offsetbox import AnchoredText from matplotlib.transforms import Bbox from mpl_toolkits.axes_grid1 import axes_size, make_axes_locatable -import inspect + from .utils import ( Plottable, get_histogram_axes_title, @@ -173,20 +173,20 @@ def histplot( ) # Show under/overflow bins - ## check underflow/overflow bin exist + # check underflow/overflow bin exist underflow, overflow = 0.0, 0.0 for h in hists: if ( hasattr(h, "values") - and not "flow" in inspect.getfullargspec(h.values).args + and "flow" not in inspect.getfullargspec(h.values).args and flow is not None ): continue elif flow is None: continue - elif isinstance(h, hist.hist.Hist): + elif hasattr(h, "plot1d"): if h.axes[0].traits.underflow: underflow = underflow + h.values(flow=True)[0] if h.axes[0].traits.overflow: @@ -199,13 +199,13 @@ def histplot( plottables = [] flow_bins = final_bins for i, h in enumerate(hists): - if isinstance(h, hist.hist.Hist): + if hasattr(h, "plot1d"): value, variance = h.values().copy(), h.variances().copy() else: value, variance = h.values(), h.variances() if ( hasattr(h, "values") - and not "flow" in inspect.getfullargspec(h.values).args + and "flow" not in inspect.getfullargspec(h.values).args and flow is not None ): if flow == "sum" or flow == "show": @@ -213,9 +213,7 @@ def histplot( flow = None plottables.append(Plottable(value, edges=final_bins, variances=variance)) # check the original hist as flow bins - elif isinstance(h, hist.hist.Hist) and len(h.values(flow=True)) < len( - final_bins - ): + elif hasattr(h, "plot1d") and len(h.values(flow=True)) < len(final_bins): print(f"Warning: you don't have flow bins stored in {h}") flow = None plottables.append(Plottable(value, edges=final_bins, variances=variance)) @@ -640,7 +638,7 @@ def hist2dplot( # "show": Add additional bin with 2 times bin width if ( hasattr(h, "values") - and not "flow" in inspect.getfullargspec(h.values).args + and "flow" not in inspect.getfullargspec(h.values).args and flow is not None ): print( @@ -648,7 +646,7 @@ def hist2dplot( ) flow = None elif ( - isinstance(h, hist.hist.Hist) + hasattr(h, "plot1d") and len(h.values(flow=True)[0]) < len(xbins) and len(h.values(flow=True)[1]) < len(ybins) ): @@ -768,8 +766,6 @@ def hist2dplot( mew=1, clip_on=False, ) - xticks = ax.get_xticks().tolist() - yticks = ax.get_yticks().tolist() if h.values(flow=True)[0, 0] > 0.0: if flow == "hint": ax.plot( From 2a0cd3dcdbaffdc41b31225b3ec3dcecb347bc79 Mon Sep 17 00:00:00 2001 From: Ming-Yan Date: Mon, 17 Apr 2023 16:24:32 +0200 Subject: [PATCH 09/11] feat : add None in hist2dplot - test: update None for hist2dplot - plot: make copy for hist - update plot --- src/mplhep/plot.py | 7 +++---- tests/baseline/test_hist2dplot_flow.png | Bin 34420 -> 51071 bytes tests/baseline/test_inputs_bh.png | Bin 47601 -> 48335 bytes tests/baseline/test_inputs_bh_cat.png | Bin 8558 -> 9669 bytes tests/baseline/test_inputs_uproot.png | Bin 12448 -> 13230 bytes tests/test_basic.py | 6 ++++-- 6 files changed, 7 insertions(+), 6 deletions(-) diff --git a/src/mplhep/plot.py b/src/mplhep/plot.py index 66e0637e..fa2ebd77 100644 --- a/src/mplhep/plot.py +++ b/src/mplhep/plot.py @@ -630,8 +630,8 @@ def hist2dplot( h = hist_object_handler(H, xbins, ybins) # TODO: use Histogram everywhere - H = h.values() + H = h.values() if not hasattr(h, "plot1d") else h.values().copy() xbins, xtick_labels = get_plottable_protocol_bins(h.axes[0]) ybins, ytick_labels = get_plottable_protocol_bins(h.axes[1]) # Show under/overflow bins @@ -686,10 +686,9 @@ def hist2dplot( ybins[-1] + (ybins[-1] - ybins[0]) * 0.08, ] ) - - if h.values(flow=True)[-1, 0] or h.values(flow=True)[0, 0]: + if h.values(flow=True)[-1, 0] > 0.0 or h.values(flow=True)[0, 0] > 0.0: H = np.insert(H, (1, -1), np.nan, axis=-1) - if h.values(flow=True)[0, -1] or h.values(flow=True)[-1, -1]: + if h.values(flow=True)[0, -1] > 0.0 or h.values(flow=True)[-1, -1] > 0.0: H = np.insert(H, (1, -1), np.full(np.shape(H)[1], np.nan), axis=0) elif flow == "sum": diff --git a/tests/baseline/test_hist2dplot_flow.png 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