From 95f1e2416d73f80f0d7180e42f7b214c8eb169ad Mon Sep 17 00:00:00 2001 From: Zahari Kassabov Date: Mon, 17 Apr 2023 09:21:05 +0100 Subject: [PATCH 1/7] Allow categorical variables in smpdf plots Fix crash in plot_smpdf when the variable in the color axis is categorical, such as for the W and Z total cross sections. Encode the categorical variables as integers and use an appropriate color map to display them. The implementation feels a bit untidy, with some variables acting at a distance, but there doesn't seem to be an easy better way considering that we'd like the color bar to be the same for all figures. Also, the fact that np.unique sorts the output may not be what we want. See https://github.com/numpy/numpy/issues/8621. But don't want to make it more complicated. --- validphys2/src/validphys/dataplots.py | 112 ++++++++++++++++---------- 1 file changed, 71 insertions(+), 41 deletions(-) diff --git a/validphys2/src/validphys/dataplots.py b/validphys2/src/validphys/dataplots.py index 8ae5fe1012..15aeec77c0 100644 --- a/validphys2/src/validphys/dataplots.py +++ b/validphys2/src/validphys/dataplots.py @@ -4,10 +4,11 @@ """ from __future__ import generator_stop +import logging +import itertools from collections import defaultdict from collections.abc import Sequence -import itertools -import logging + import matplotlib as mpl from matplotlib import cm @@ -387,6 +388,7 @@ def _plot_fancy_impl( lb = labellist[normalize_to] ax.set_ylabel(f"Ratio to {lb if lb else norm_result.label}") + ax.legend().set_zorder(100000) ax.set_xlabel(info.xlabel) fig.tight_layout() @@ -851,7 +853,7 @@ def plot_replica_sum_rules(pdf, sum_rules, Q): @figuregen -def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold: float = 0.9): +def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold:float=0.9): """ Plot the correlations between the change in the observable and the change in the PDF in (x,fl) space. @@ -879,7 +881,6 @@ def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold: float = 0.9): info = get_info(dataset) table = kitable(dataset, info) - figby = sane_groupby_iter(table, info.figure_by) basis = obs_pdf_correlations.basis @@ -891,54 +892,83 @@ def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold: float = 0.9): plotting_var = info.get_xcol(table) - # TODO: vmin vmax should be global or by figure? - vmin, vmax = min(plotting_var), max(plotting_var) - if info.x_scale == 'log': - norm = mcolors.LogNorm(vmin, vmax) + categorical = not np.issubdtype(plotting_var.dtype, np.number) + if categorical: + # Categorical + keys, values = np.unique(plotting_var, return_inverse=True) + plotting_var = values + nunique = len(keys) + if nunique <= len(cm.Set2.colors): + cmap = mcolors.ListedColormap(cm.Set2.colors[:nunique]) + else: + cmap = cm.viridis.resample(nunique) + bins = np.linspace(0, nunique, nunique + 1) + norm = mcolors.BoundaryNorm(bins, nunique) + else: - norm = mcolors.Normalize(vmin, vmax) - # http://stackoverflow.com/a/11558629/1007990 - sm = cm.ScalarMappable(cmap=cm.viridis, norm=norm) + cmap = cm.viridis + #TODO: vmin vmax should be global or by figure? + vmin,vmax = min(plotting_var), max(plotting_var) + if info.x_scale == 'log': + norm = mcolors.LogNorm(vmin, vmax) + else: + norm = mcolors.Normalize(vmin, vmax) + + + table["__plotting_var"] = plotting_var + sm = cm.ScalarMappable(cmap=cmap, norm=norm) + + figby = sane_groupby_iter(table, info.figure_by) for same_vals, fb in figby: - grid = fullgrid[np.asarray(fb.index), ...] + grid = fullgrid[ np.asarray(fb.index),...] + - # Use the maximum absolute correlation for plotting purposes + #Use the maximum absolute correlation for plotting purposes absgrid = np.max(np.abs(grid), axis=0) - mark_mask = absgrid > np.max(absgrid) * mark_threshold + mark_mask = absgrid > np.max(absgrid)*mark_threshold label = info.group_label(same_vals, info.figure_by) - # TODO: PY36ScalarMappable - # TODO Improve title? - title = "%s %s\n[%s]" % (info.dataset_label, '(%s)' % label if label else '', pdf.label) - - # Start plotting - w, h = mpl.rcParams["figure.figsize"] - h *= 2.5 - fig, axes = plotutils.subplots(nrows=nf, sharex=True, figsize=(w, h), sharey=True) + #TODO: PY36ScalarMappable + #TODO Improve title? + title = "%s %s\n[%s]" % (info.dataset_label, '(%s)'%label if label else '' ,pdf.label) + + #Start plotting + w,h = plt.rcParams["figure.figsize"] + h*=2.5 + fig,axes = plt.subplots(nrows=nf ,sharex=True, figsize=(w,h), sharey=True) fig.suptitle(title) - colors = sm.to_rgba(info.get_xcol(fb)) + colors = sm.to_rgba(fb["__plotting_var"]) for flindex, (ax, fl) in enumerate(zip(axes, fls)): - for i, color in enumerate(colors): - ax.plot(x, grid[i, flindex, :].T, color=color) + for i,color in enumerate(colors): + ax.plot(x, grid[i,flindex,:].T, color=color) - flmask = mark_mask[flindex, :] + + flmask = mark_mask[flindex,:] ranges = split_ranges(x, flmask, filter_falses=True) for r in ranges: ax.axvspan(r[0], r[-1], color='#eeeeff') - ax.set_ylabel("$%s$" % basis.elementlabel(fl)) + ax.set_ylabel("$%s$"%basis.elementlabel(fl)) ax.set_xscale(scale_from_grid(obs_pdf_correlations)) - ax.set_ylim(-1, 1) + ax.set_ylim(-1,1) ax.set_xlim(x[0], x[-1]) ax.set_xlabel('$x$') - # fig.subplots_adjust(hspace=0) + #fig.subplots_adjust(hspace=0) - fig.colorbar(sm, ax=axes.ravel().tolist(), label=info.xlabel, aspect=100) - # TODO: Fix title for this - # fig.tight_layout() - yield fig + cbar = fig.colorbar( + sm, + ax=axes.ravel().tolist(), + label=info.xlabel, + aspect=100, + ) + if categorical: + cbar.set_ticks(np.linspace(0.5, nunique - 0.5, nunique)) + cbar.ax.set_yticklabels(keys) + #TODO: Fix title for this + #fig.tight_layout() + yield fig @figure def plot_obscorrs(corrpair_datasets, obs_obs_correlations, pdf): @@ -1225,14 +1255,14 @@ def plot_xq2( highlight_datasets = set() def next_options(): - # Get the colors - prop_settings = mpl.rcParams['axes.prop_cycle'] - # Apparently calling the object gives us an infinite cycler + #Get the colors + prop_settings = plt.rcParams['axes.prop_cycle'] + #Apparently calling the object gives us an infinite cycler settings_cycler = prop_settings() - # So far, I don't understand how this is done with mpl "cycler" - # objects, or wether I like it. So far this is godd enough - for markeropts, settings in zip(plotutils.marker_iter_plot(), settings_cycler): - # Override last with first + #So far, I don't understand how this is done with mpl "cycler" + #objects, or wether I like it. So far this is godd enough + for markeropts, settings in zip(plotutils.marker_iter_plot(), settings_cycler): + #Override last with first options = { 'linestyle': 'none', **markeropts, @@ -1243,7 +1273,7 @@ def next_options(): next_opts = next_options() key_options = {} - for experiment, commondata, fitted, masked, group in dataset_inputs_by_groups_xq2map: + for (experiment, commondata, fitted, masked, group) in dataset_inputs_by_groups_xq2map: info = get_info(commondata) if marker_by == 'process type': key = info.process_description From ced398162ee853ce820d1cec51bfea3b5f10cbe4 Mon Sep 17 00:00:00 2001 From: Zahari Kassabov Date: Fri, 26 May 2023 11:53:35 +0100 Subject: [PATCH 2/7] Add test and improve variables --- validphys2/src/validphys/dataplots.py | 32 ++++++++---------- .../baseline/test_plot_smpdf_categorical.png | Bin 0 -> 139010 bytes validphys2/src/validphys/tests/conftest.py | 12 +++++++ validphys2/src/validphys/tests/test_plots.py | 5 +++ 4 files changed, 32 insertions(+), 17 deletions(-) create mode 100644 validphys2/src/validphys/tests/baseline/test_plot_smpdf_categorical.png diff --git a/validphys2/src/validphys/dataplots.py b/validphys2/src/validphys/dataplots.py index 15aeec77c0..3999ff6386 100644 --- a/validphys2/src/validphys/dataplots.py +++ b/validphys2/src/validphys/dataplots.py @@ -4,11 +4,10 @@ """ from __future__ import generator_stop -import logging -import itertools from collections import defaultdict from collections.abc import Sequence - +import itertools +import logging import matplotlib as mpl from matplotlib import cm @@ -895,20 +894,20 @@ def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold:float=0.9): categorical = not np.issubdtype(plotting_var.dtype, np.number) if categorical: # Categorical - keys, values = np.unique(plotting_var, return_inverse=True) + categorical_keys, values = np.unique(plotting_var, return_inverse=True) plotting_var = values - nunique = len(keys) - if nunique <= len(cm.Set2.colors): - cmap = mcolors.ListedColormap(cm.Set2.colors[:nunique]) + num_categories = len(categorical_keys) + if num_categories <= len(cm.Set2.colors): + cmap = mcolors.ListedColormap(cm.Set2.colors[:num_categories]) else: - cmap = cm.viridis.resample(nunique) - bins = np.linspace(0, nunique, nunique + 1) - norm = mcolors.BoundaryNorm(bins, nunique) + cmap = cm.viridis.resample(num_categories) + bins = np.linspace(0, num_categories, num_categories + 1) + norm = mcolors.BoundaryNorm(bins, num_categories) else: cmap = cm.viridis #TODO: vmin vmax should be global or by figure? - vmin,vmax = min(plotting_var), max(plotting_var) + vmin, vmax = min(plotting_var), max(plotting_var) if info.x_scale == 'log': norm = mcolors.LogNorm(vmin, vmax) else: @@ -931,12 +930,12 @@ def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold:float=0.9): label = info.group_label(same_vals, info.figure_by) #TODO: PY36ScalarMappable #TODO Improve title? - title = "%s %s\n[%s]" % (info.dataset_label, '(%s)'%label if label else '' ,pdf.label) + title = f"{info.dataset_label} {label if label else ''}\n[{pdf.label}]" #Start plotting - w,h = plt.rcParams["figure.figsize"] + w,h = mpl.rcParams["figure.figsize"] h*=2.5 - fig,axes = plt.subplots(nrows=nf ,sharex=True, figsize=(w,h), sharey=True) + fig, axes = plotutils.subplots(nrows=nf, sharex=True, figsize=(w,h), sharey=True) fig.suptitle(title) colors = sm.to_rgba(fb["__plotting_var"]) for flindex, (ax, fl) in enumerate(zip(axes, fls)): @@ -954,7 +953,6 @@ def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold:float=0.9): ax.set_ylim(-1,1) ax.set_xlim(x[0], x[-1]) ax.set_xlabel('$x$') - #fig.subplots_adjust(hspace=0) cbar = fig.colorbar( sm, @@ -963,8 +961,8 @@ def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold:float=0.9): aspect=100, ) if categorical: - cbar.set_ticks(np.linspace(0.5, nunique - 0.5, nunique)) - cbar.ax.set_yticklabels(keys) + cbar.set_ticks(np.linspace(0.5, num_categories - 0.5, num_categories)) + 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nnpdfcpp/data/commondata/PLOTTING_ATLAS_WZ_TOT_13TEV.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_WZ_TOT_13TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_WZ_TOT_13TEV.yaml index c05aa86e87..73bbec06cb 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_WZ_TOT_13TEV.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_WZ_TOT_13TEV.yaml @@ -3,8 +3,7 @@ dataset_label: "ATLAS $W,Z$ inclusive 13 TeV" x: " " y_label: $\sigma^{fid}$ (fb) -figure_by: - - boson + extra_labels: " ": - $W^-$ From 9b861be894054caa30c699bb554908807f5dd774 Mon Sep 17 00:00:00 2001 From: Zahari Kassabov Date: Mon, 19 Jun 2023 10:50:17 +0100 Subject: [PATCH 4/7] Improve comments --- validphys2/src/validphys/dataplots.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/dataplots.py b/validphys2/src/validphys/dataplots.py index 3999ff6386..7a66a2e3e9 100644 --- a/validphys2/src/validphys/dataplots.py +++ b/validphys2/src/validphys/dataplots.py @@ -852,7 +852,7 @@ def plot_replica_sum_rules(pdf, sum_rules, Q): @figuregen -def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold:float=0.9): +def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold: float = 0.9): """ Plot the correlations between the change in the observable and the change in the PDF in (x,fl) space. @@ -893,7 +893,8 @@ def plot_smpdf(pdf, dataset, obs_pdf_correlations, mark_threshold:float=0.9): categorical = not np.issubdtype(plotting_var.dtype, np.number) if categorical: - # Categorical + # Plot lines using a categorical color map (for a reasonable number of + # categories), and set up the categorical labels (used below). categorical_keys, values = np.unique(plotting_var, return_inverse=True) plotting_var = values num_categories = len(categorical_keys) From e43cac7e5ad7aca49e5c612d163cd443d45aa223 Mon Sep 17 00:00:00 2001 From: Zahari Kassabov Date: Mon, 19 Jun 2023 10:57:23 +0100 Subject: [PATCH 5/7] Typo --- validphys2/src/validphys/tests/conftest.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index b04d1d4eee..a78216b09b 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -27,7 +27,7 @@ def tmp(tmpdir): SINGLE_DATASET = {'dataset': 'NMC'} -SINGLE_CATEGICAL = {"dataset": "ATLAS_WZ_TOT_13TEV", 'cfac': ["QCD"]} +SINGLE_CATEGORICAL = {"dataset": "ATLAS_WZ_TOT_13TEV", 'cfac': ["QCD"]} DATA = [ {'dataset': 'NMC'}, @@ -102,7 +102,7 @@ def single_data_categorical_internal_cuts_config(data_internal_cuts_config): """Test dataset with categorical plotting variables""" return { **data_internal_cuts_config, - 'dataset_input': SINGLE_CATEGICAL, + 'dataset_input': SINGLE_CATEGORICAL, # NOTE: The old theory is currently bugged for this dataset 'theoryid': THEORYID_NEW, } From 80a99fcb31507ad5bc2cd5fc7972993368e2577b Mon Sep 17 00:00:00 2001 From: Zahari Kassabov Date: Mon, 19 Jun 2023 11:46:03 +0100 Subject: [PATCH 6/7] Leftover typo --- validphys2/src/validphys/dataplots.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/dataplots.py b/validphys2/src/validphys/dataplots.py index 7a66a2e3e9..7a8088ed31 100644 --- a/validphys2/src/validphys/dataplots.py +++ b/validphys2/src/validphys/dataplots.py @@ -1255,7 +1255,7 @@ def plot_xq2( def next_options(): #Get the colors - prop_settings = plt.rcParams['axes.prop_cycle'] + prop_settings = mpl.rcParams['axes.prop_cycle'] #Apparently calling the object gives us an infinite cycler settings_cycler = prop_settings() #So far, I don't understand how this is done with mpl "cycler" From 6089608fb7fdd42ffc4de48b414bab0ab9a12745 Mon Sep 17 00:00:00 2001 From: Zahari Kassabov Date: Mon, 19 Jun 2023 11:49:31 +0100 Subject: [PATCH 7/7] Update test image --- .../tests/baseline/test_plot_smpdf.png | Bin 208347 -> 207972 bytes 1 file 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