BUG plot_clusters (#707)

Co-authored-by: Artem Makhin <[email protected]>
tinkoff-ai · May 25, 2022 · eebf273 · eebf273 · github-actions · May 25, 2022
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -45,7 +45,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 -
 -
 -
--
+- Fix bug in plot_clusters ([#675](https://github.com/tinkoff-ai/etna/pull/675))
 -
 - Fix bugs and documentation for cross_corr_plot ([#691](https://github.com/tinkoff-ai/etna/pull/691))
 -

diff --git a/etna/analysis/plotters.py b/etna/analysis/plotters.py
@@ -788,25 +788,22 @@ def plot_clusters(
         size of the figure per subplot with one segment in inches
     """
     unique_clusters = sorted(set(segment2cluster.values()))
-    rows_num = math.ceil(len(unique_clusters) / columns_num)
-    figsize = (figsize[0] * columns_num, figsize[1] * rows_num)
-    fig, axs = plt.subplots(rows_num, columns_num, constrained_layout=True, figsize=figsize)
+    _, ax = prepare_axes(num_plots=len(unique_clusters), columns_num=columns_num, figsize=figsize)
     for i, cluster in enumerate(unique_clusters):
         segments = [segment for segment in segment2cluster if segment2cluster[segment] == cluster]
-        h, w = i // columns_num, i % columns_num
         for segment in segments:
             segment_slice = ts[:, segment, "target"]
-            axs[h][w].plot(
+            ax[i].plot(
                 segment_slice.index.values,
                 segment_slice.values,
                 alpha=1 / math.sqrt(len(segments)),
                 c="blue",
             )
-        axs[h][w].set_title(f"cluster={cluster}\n{len(segments)} segments in cluster")
+        ax[i].set_title(f"cluster={cluster}\n{len(segments)} segments in cluster")
         if centroids_df is not None:
             centroid = centroids_df[cluster, "target"]
-            axs[h][w].plot(centroid.index.values, centroid.values, c="red", label="centroid")
-        axs[h][w].legend()
+            ax[i].plot(centroid.index.values, centroid.values, c="red", label="centroid")
+        ax[i].legend()
 
 
 def plot_time_series_with_change_points(