From 70f7963948547c4908bf313e5dac090a616f25b1 Mon Sep 17 00:00:00 2001
From: leufen1 <l.leufen@fz-juelich.de>
Date: Fri, 9 Apr 2021 14:31:45 +0200
Subject: [PATCH] error is fixed, another try on HPC, on success /close #301
---
mlair/plotting/postprocessing_plotting.py | 36 +++++++++++++----------
1 file changed, 21 insertions(+), 15 deletions(-)
diff --git a/mlair/plotting/postprocessing_plotting.py b/mlair/plotting/postprocessing_plotting.py
index 68cab25b..4855f16c 100644
--- a/mlair/plotting/postprocessing_plotting.py
+++ b/mlair/plotting/postprocessing_plotting.py
@@ -671,13 +671,26 @@ class PlotClimatologicalSkillScore(AbstractPlotClass):
sns.boxplot(x="terms", y="data", hue="ahead", data=self._data, ax=ax, whis=1., palette="Blues_d",
showmeans=True, meanprops={"markersize": 1, "markeredgecolor": "k"}, flierprops={"marker": "."})
ax.axhline(y=0, color="grey", linewidth=.5)
- ax.set(ylabel=f"{self._label_add(score_only)}skill score", xlabel="", title="summary of all stations")
- x_min, x_max = ax.get_xlim()
- ax.set_xlim([max(x_min, -xlim), min(x_max, xlim)])
+ ax.set(ylabel=f"{self._label_add(score_only)}skill score", xlabel="", title="summary of all stations",
+ ylim=self._lim())
handles, _ = ax.get_legend_handles_labels()
ax.legend(handles, self._labels)
plt.tight_layout()
+ def _lim(self) -> Tuple[float, float]:
+ """
+ Calculate axis limits from data (Can be used to set axis extend).
+
+ Lower limit is the minimum of 0 and data's minimum (reduced by small subtrahend) and upper limit is data's
+ maximum (increased by a small addend).
+
+ :return:
+ """
+ limit = 5
+ lower = np.max([-limit, np.min([0, helpers.float_round(self._data["data"].min() - 0.1, 2)])])
+ upper = np.min([limit, helpers.float_round(self._data["data"].max() + 0.1, 2)])
+ return lower, upper
+
@TimeTrackingWrapper
class PlotCompetitiveSkillScore(AbstractPlotClass):
@@ -739,7 +752,7 @@ class PlotCompetitiveSkillScore(AbstractPlotClass):
data = data.stack(level=0).reset_index(level=2, drop=True).reset_index(name="data")
return data.astype({"comparison": str, "ahead": int, "data": float})
- def _plot(self, single_model_comparison=False, xlim=5):
+ def _plot(self, single_model_comparison=False):
"""Plot skill scores of the comparisons."""
size = max([len(np.unique(self._data.comparison)), 6])
fig, ax = plt.subplots(figsize=(size, size * 0.8))
@@ -751,18 +764,12 @@ class PlotCompetitiveSkillScore(AbstractPlotClass):
ax.axhline(y=0, color="grey", linewidth=.5)
ax.set(ylabel="skill score", xlabel="competing models", title="summary of all stations", ylim=self._lim())
- x_min, x_max = ax.get_xlim()
- print("-----------------")
- print(ax.get_xlim())
- ax.set_xlim([max(x_min, -xlim), min(x_max, xlim)])
handles, _ = ax.get_legend_handles_labels()
plt.xticks(rotation=90)
- print(ax.get_xlim())
ax.legend(handles, self._labels)
plt.tight_layout()
- print(ax.get_xlim())
- def _plot_vertical(self, single_model_comparison=False, ylim=5):
+ def _plot_vertical(self, single_model_comparison=False):
"""Plot skill scores of the comparisons, but vertically aligned."""
fig, ax = plt.subplots()
data = self._filter_comparisons(self._data) if single_model_comparison is True else self._data
@@ -773,8 +780,6 @@ class PlotCompetitiveSkillScore(AbstractPlotClass):
# ax.axhline(x=0, color="grey", linewidth=.5)
ax.axvline(x=0, color="grey", linewidth=.5)
ax.set(xlabel="skill score", ylabel="competing models", title="summary of all stations", xlim=self._lim())
- y_min, y_max = ax.get_ylim()
- ax.set_ylim([max(y_min, -ylim), min(y_max, ylim)])
handles, _ = ax.get_legend_handles_labels()
ax.legend(handles, self._labels)
plt.tight_layout()
@@ -799,8 +804,9 @@ class PlotCompetitiveSkillScore(AbstractPlotClass):
:return:
"""
- lower = np.min([0, helpers.float_round(self._data.min()[2], 2) - 0.1])
- upper = helpers.float_round(self._data.max()[2], 2) + 0.1
+ limit = 5
+ lower = np.max([-limit, np.min([0, helpers.float_round(self._data.min()[2], 2) - 0.1])])
+ upper = np.min([limit, helpers.float_round(self._data.max()[2], 2) + 0.1])
return lower, upper
--
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