<?xml version='1.0' encoding='utf-8'?>
<feed xmlns="http://www.w3.org/2005/Atom"><id>tag:xarray.asv,1970-01-01:/8a28e422b1dfed0f827e6ed8c9480a72b6d6640cfe1f1bed77bd9ca6a97c6efe</id><author><name>Airspeed Velocity</name></author><title xml:lang="en">xarray performance regressions</title><updated>2019-12-13T14:44:13Z</updated><entry><id>tag:xarray.asv,2019-12-13:/873d9e47f1ca4e266432a11ae7beead8ac5f52a80fb6ad4b221b21c0aa1dc764</id><title xml:lang="en">207.43% reindexing.Reindex.time_1d_fine_some_missing</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#reindexing.Reindex.time_1d_fine_some_missing?python=3.6&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#reindexing.Reindex.time_1d_fine_some_missing?python=3.6&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;207.43% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 182ms, old value: 59.2ms.&lt;br&gt;
                Latest value: 182ms (207.43% worse than best value 59.2ms).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/d88c5866567ff038d14585244481823377ff7990dd15c038b7c0ac1022350772</id><title xml:lang="en">80.32% rolling.Rolling.time_rolling_np(20, 5)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=20&amp;p-min_periods=5&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=20&amp;p-min_periods=5&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;80.32% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 2.19s, old value: 1.21s.&lt;br&gt;
                Latest value: 2.19s (80.32% worse than best value 1.21s).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/88d480c696ff54c5c463e49979dc062a5bff6bc20c9da05c1aaa41bc4f147bfe</id><title xml:lang="en">77.75% rolling.Rolling.time_rolling_np(20, None)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=20&amp;p-min_periods=None&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=20&amp;p-min_periods=None&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;77.75% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 2.17s, old value: 1.22s.&lt;br&gt;
                Latest value: 2.17s (77.75% worse than best value 1.22s).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/06a69a2107376f69832ee41ae7bb5c0d6e59dec29a728ee135f6c088637b32d6</id><title xml:lang="en">76.54% rolling.Rolling.time_rolling_np(40, 5)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=40&amp;p-min_periods=5&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=40&amp;p-min_periods=5&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;76.54% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 4.12s, old value: 2.33s.&lt;br&gt;
                Latest value: 4.12s (76.54% worse than best value 2.33s).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/eb0bd78edd904970e4156417879109baa1dce84b665f22c8af76e54bf31553d1</id><title xml:lang="en">77.64% rolling.Rolling.time_rolling_np(40, None)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=40&amp;p-min_periods=None&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=40&amp;p-min_periods=None&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;77.64% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 4.16s, old value: 2.34s.&lt;br&gt;
                Latest value: 4.16s (77.64% worse than best value 2.34s).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/a3d66d580226b478bda6e8620ac2db15f8dc6305ce0682d9a5eb3b2aab676636</id><title xml:lang="en">77.35% reindexing.Reindex.time_2d_fine_some_missing</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#reindexing.Reindex.time_2d_fine_some_missing?python=3.6&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#reindexing.Reindex.time_2d_fine_some_missing?python=3.6&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;77.35% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 600ms, old value: 338ms.&lt;br&gt;
                Latest value: 600ms (77.35% worse than best value 338ms).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/3f67ea5e02e1cb830ed3884fffb24378435dcc642a6678df1c3f981ed3ca0fbc</id><title xml:lang="en">54.26% reindexing.Reindex.time_2d_fine_all_found</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#reindexing.Reindex.time_2d_fine_all_found?python=3.6&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#reindexing.Reindex.time_2d_fine_all_found?python=3.6&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;54.26% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 376ms, old value: 244ms.&lt;br&gt;
                Latest value: 376ms (54.26% worse than best value 244ms).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/a2fd2d1285768a94156332c2789c5115924cb6217e2dfbc3430a74dc92a5d0a5</id><title xml:lang="en">70.31% rolling.Rolling.time_rolling_construct(True, 1)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=True&amp;p-stride=1&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=True&amp;p-stride=1&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;70.31% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 1.87s, old value: 1.10s.&lt;br&gt;
                Latest value: 1.87s (70.31% worse than best value 1.10s).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/3137aa9244281238565c37f39d2160a44f9fd552392a44075dfcab62a7394fc8</id><title xml:lang="en">98.34% rolling.Rolling.time_rolling_construct(True, 200)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=True&amp;p-stride=200&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=True&amp;p-stride=200&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;98.34% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 61.9ms, old value: 31.2ms.&lt;br&gt;
                Latest value: 61.9ms (98.34% worse than best value 31.2ms).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/53c0965d9bd0100e23e9046982690ecbdbf781cc7c0fb4f3e4e850856e52fa9a</id><title xml:lang="en">70.87% rolling.Rolling.time_rolling_construct(False, 1)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=False&amp;p-stride=1&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=False&amp;p-stride=1&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;70.87% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 1.88s, old value: 1.10s.&lt;br&gt;
                Latest value: 1.88s (70.87% worse than best value 1.10s).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/0c985f31401b1fb9cf33f1eb5fe5f7228bc73136a06abe28f5a23cc7818abada</id><title xml:lang="en">87.00% rolling.Rolling.time_rolling_construct(False, 200)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=False&amp;p-stride=200&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=False&amp;p-stride=200&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;87.00% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 49.9ms, old value: 26.7ms.&lt;br&gt;
                Latest value: 49.9ms (87.00% worse than best value 26.7ms).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/859c079f94b5c4299b3c0f5b57ee241f95acea5c69f8ef6c1c611a0242b2231f</id><title xml:lang="en">63.04% rolling.Rolling.time_rolling('mean', True)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling?python=3.6&amp;p-func=%27mean%27&amp;p-center=True&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling?python=3.6&amp;p-func=%27mean%27&amp;p-center=True&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;63.04% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 2.15s, old value: 1.32s.&lt;br&gt;
                Latest value: 2.15s (63.04% worse than best value 1.32s).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/82ed481fc184aa0ffcfad29dddbaf573bf7d4629b3a78136803bc647cf16d78f</id><title xml:lang="en">65.58% rolling.Rolling.time_rolling('mean', False)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling?python=3.6&amp;p-func=%27mean%27&amp;p-center=False&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling?python=3.6&amp;p-func=%27mean%27&amp;p-center=False&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;65.58% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 2.17s, old value: 1.31s.&lt;br&gt;
                Latest value: 2.17s (65.58% worse than best value 1.31s).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/c5b558fafbf0fe8085d9d9f49e5508492b8e23df154091b05cb13191bc84d7ed</id><title xml:lang="en">103.32% indexing.BooleanIndexing.time_indexing</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#indexing.BooleanIndexing.time_indexing?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#indexing.BooleanIndexing.time_indexing?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;103.32% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;ff6051de...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 338ms, old value: 166ms.&lt;br&gt;
                Latest value: 338ms (103.32% worse than best value 166ms).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/bc4b82f10faf640ffc1d599feb44e589e0e8fb5544a66b83c53904af11786fa2</id><title xml:lang="en">59.98% rolling.RollingDask.time_rolling_long('mean', True)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.RollingDask.time_rolling_long?python=3.6&amp;p-func=%27mean%27&amp;p-pandas=True&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.RollingDask.time_rolling_long?python=3.6&amp;p-func=%27mean%27&amp;p-pandas=True&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;59.98% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;ff6051de...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 1.84s, old value: 1.15s.&lt;br&gt;
                Latest value: 1.84s (59.98% worse than best value 1.15s).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/e95aea6564ac04c387cd84b3b1c9b1e4fbd1f4602808ad97c172512eb197e1ac</id><title xml:lang="en">279.58% reindexing.Reindex.time_1d_fine_all_found</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#reindexing.Reindex.time_1d_fine_all_found?python=3.6&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#reindexing.Reindex.time_1d_fine_all_found?python=3.6&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;279.58% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 87.2ms, old value: 23.0ms.&lt;br&gt;
                Latest value: 87.2ms (279.58% worse than best value 23.0ms).</content></entry><entry><id>tag:xarray.asv,2019-12-13:/5a006750e033e42e84ca45cefbc381a19f6ff13245315dd8976640304f33d58c</id><title xml:lang="en">34.32% rolling.Rolling.time_rolling_long('mean', False)</title><updated>2019-12-13T14:44:13Z</updated><link href="index.html#rolling.Rolling.time_rolling_long?python=3.6&amp;p-func=%27mean%27&amp;p-pandas=False&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_long?python=3.6&amp;p-func=%27mean%27&amp;p-pandas=False&amp;commits=0197bf2522e66bee7f9e35505929a46fdb6246ea-f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;34.32% regression&lt;/a&gt; on 2019-12-13 10:05:23 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0197bf2522e66bee7f9e35505929a46fdb6246ea...f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1"&gt;0197bf25...f2b2f9f6&lt;/a&gt;.&lt;br&gt;
                New value: 8.93s, old value: 6.65s.&lt;br&gt;
                Latest value: 8.93s (34.32% worse than best value 6.65s).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/448df1dacc2edc2c927aa23896b28e804ce6cc39cd6ef1746005101fac5782ce</id><title xml:lang="en">211.20% reindexing.Reindex.time_1d_fine_some_missing</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#reindexing.Reindex.time_1d_fine_some_missing?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#reindexing.Reindex.time_1d_fine_some_missing?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;211.20% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 184ms, old value: 59.1ms.&lt;br&gt;
                Latest value: 184ms (211.20% worse than best value 59.1ms).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/1e3ab13d86e56a4d0290df98572beb155b88a7ce9154fd5e286063366d780266</id><title xml:lang="en">78.50% rolling.Rolling.time_rolling_np(20, 5)</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=20&amp;p-min_periods=5&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=20&amp;p-min_periods=5&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;78.50% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 2.16s, old value: 1.21s.&lt;br&gt;
                Latest value: 2.16s (78.50% worse than best value 1.21s).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/33c05fa985e6f89930b06f8527414a38edda0161fc939c8d5b78a11a1ac44c90</id><title xml:lang="en">78.25% rolling.Rolling.time_rolling_np(20, None)</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=20&amp;p-min_periods=None&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=20&amp;p-min_periods=None&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;78.25% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 2.18s, old value: 1.22s.&lt;br&gt;
                Latest value: 2.18s (78.25% worse than best value 1.22s).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/84a71afe002faa15103ceccd14e2926040e3376ce55c36bd53f0926ebac3d0c9</id><title xml:lang="en">76.59% rolling.Rolling.time_rolling_np(40, 5)</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=40&amp;p-min_periods=5&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=40&amp;p-min_periods=5&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;76.59% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 4.13s, old value: 2.34s.&lt;br&gt;
                Latest value: 4.13s (76.59% worse than best value 2.34s).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/cbc7cb68b539d3461f4ec16631822ebea7f4446fdc6d714bdb7cba0458d38009</id><title xml:lang="en">76.70% rolling.Rolling.time_rolling_np(40, None)</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=40&amp;p-min_periods=None&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_np?python=3.6&amp;p-window_=40&amp;p-min_periods=None&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;76.70% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 4.14s, old value: 2.34s.&lt;br&gt;
                Latest value: 4.14s (76.70% worse than best value 2.34s).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/a82659f545474211288ed418b075cae79e3306f14fda13b50bd29e185fd1a420</id><title xml:lang="en">77.96% reindexing.Reindex.time_2d_fine_some_missing</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#reindexing.Reindex.time_2d_fine_some_missing?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#reindexing.Reindex.time_2d_fine_some_missing?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;77.96% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 602ms, old value: 338ms.&lt;br&gt;
                Latest value: 602ms (77.96% worse than best value 338ms).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/598933c4a547eef229c6257e8719fdb02b5b779c8567fc42867ad1c0703cd8db</id><title xml:lang="en">6.11% reindexing.Reindex.time_2d_coarse</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#reindexing.Reindex.time_2d_coarse?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#reindexing.Reindex.time_2d_coarse?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;6.11% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 19.9ms, old value: 18.7ms.&lt;br&gt;
                Latest value: 19.9ms (6.11% worse than best value 18.7ms).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/795d0195e35ce099cd7892c029e300aa4b330ec33d19c2d5094063823317af5e</id><title xml:lang="en">54.89% reindexing.Reindex.time_2d_fine_all_found</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#reindexing.Reindex.time_2d_fine_all_found?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#reindexing.Reindex.time_2d_fine_all_found?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;54.89% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 378ms, old value: 244ms.&lt;br&gt;
                Latest value: 378ms (54.89% worse than best value 244ms).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/0a6f43477bf05813b6596083aceeb910bda5ed6446267ce3ec0ef04069ed7cc6</id><title xml:lang="en">72.36% rolling.Rolling.time_rolling_construct(True, 1)</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=True&amp;p-stride=1&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=True&amp;p-stride=1&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;72.36% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 1.90s, old value: 1.10s.&lt;br&gt;
                Latest value: 1.90s (72.36% worse than best value 1.10s).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/84dfbfc0cd5e8886dc958735a368182909349462becada74ba4941d9f8998cbf</id><title xml:lang="en">71.07% rolling.Rolling.time_rolling_construct(False, 1)</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=False&amp;p-stride=1&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_construct?python=3.6&amp;p-center=False&amp;p-stride=1&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;71.07% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 1.88s, old value: 1.10s.&lt;br&gt;
                Latest value: 1.88s (71.07% worse than best value 1.10s).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/e206549f4ba739a4f23bfce8f8cb78b4a1d5d5df440a9766567df13c9ee60115</id><title xml:lang="en">156.10% rolling.Rolling.time_rolling('mean', False)</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#rolling.Rolling.time_rolling?python=3.6&amp;p-func=%27mean%27&amp;p-center=False&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling?python=3.6&amp;p-func=%27mean%27&amp;p-center=False&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;156.10% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 152ms, old value: 59.4ms.&lt;br&gt;
                Latest value: 152ms (156.10% worse than best value 59.4ms).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/2bd8693dd0e7e6d668377252e8d06e2ddf9dc9c53609e539993dcd042a45209e</id><title xml:lang="en">106.41% indexing.BooleanIndexing.time_indexing</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#indexing.BooleanIndexing.time_indexing?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#indexing.BooleanIndexing.time_indexing?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;106.41% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 343ms, old value: 166ms.&lt;br&gt;
                Latest value: 343ms (106.41% worse than best value 166ms).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/39328d682558ac13f3059f0df30645e02919ed7a42c47c101927af9f78b36cee</id><title xml:lang="en">278.82% reindexing.Reindex.time_1d_fine_all_found</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#reindexing.Reindex.time_1d_fine_all_found?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#reindexing.Reindex.time_1d_fine_all_found?python=3.6&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;278.82% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 86.8ms, old value: 22.9ms.&lt;br&gt;
                Latest value: 86.8ms (278.82% worse than best value 22.9ms).</content></entry><entry><id>tag:xarray.asv,2019-12-12:/dab40b608727868488207007ec6b5ba2a18653e0397f0ddd6db420eeaca17f6e</id><title xml:lang="en">85.28% rolling.Rolling.time_rolling_long('mean', False)</title><updated>2019-12-12T15:19:52Z</updated><link href="index.html#rolling.Rolling.time_rolling_long?python=3.6&amp;p-func=%27mean%27&amp;p-pandas=False&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9" /><content type="html" xml:lang="en">&lt;a href="index.html#rolling.Rolling.time_rolling_long?python=3.6&amp;p-func=%27mean%27&amp;p-pandas=False&amp;commits=ff6051de5fa61f1e371dea1eaba8edd09288b8d1-23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;85.28% regression&lt;/a&gt; on 2019-12-12 12:48:50 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/ff6051de5fa61f1e371dea1eaba8edd09288b8d1...23d76b44cb879337f2e6c33c3f32bdd12f0efbe9"&gt;ff6051de...23d76b44&lt;/a&gt;.&lt;br&gt;
                New value: 251ms, old value: 135ms.&lt;br&gt;
                Latest value: 251ms (85.28% worse than best value 135ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/56d74d2bb26fbee5103dc8420a8eb8d0eeeeffe15051839fa0c4babf50b41c10</id><title xml:lang="en">9.97% unstacking.Unstacking.time_unstack_slow</title><updated>2019-10-20T01:33:10Z</updated><link href="index.html#unstacking.Unstacking.time_unstack_slow?python=3.6&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#unstacking.Unstacking.time_unstack_slow?python=3.6&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;9.97% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 411ms, old value: 374ms.&lt;br&gt;
                Latest value: 411ms (9.97% worse than best value 374ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/56d74d2bb26fbee5103dc8420a8eb8d0eeeeffe15051839fa0c4babf50b41c10</id><title xml:lang="en">9.77% unstacking.Unstacking.time_unstack_slow</title><updated>2019-10-20T01:33:10Z</updated><link href="index.html#unstacking.Unstacking.time_unstack_slow?python=3.6&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#unstacking.Unstacking.time_unstack_slow?python=3.6&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;9.77% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 410ms, old value: 374ms.&lt;br&gt;
                Latest value: 410ms (9.77% worse than best value 374ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/81473aa9bd118efd284727a4933545e77db5f6c688c7e6ed13d3b6ca21643180</id><title xml:lang="en">6.14% unstacking.Unstacking.time_unstack_fast</title><updated>2019-10-20T01:33:08Z</updated><link href="index.html#unstacking.Unstacking.time_unstack_fast?python=3.6&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#unstacking.Unstacking.time_unstack_fast?python=3.6&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;6.14% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 17.1ms, old value: 16.1ms.&lt;br&gt;
                Latest value: 17.1ms (6.14% worse than best value 16.1ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/84337e7d79d0e9ef6c3b99d9967176fa8f7f238057ca0a130acac8572419bcf5</id><title xml:lang="en">31.30% indexing.Indexing.time_indexing_basic('2slicess-1scalar')</title><updated>2019-10-20T01:23:02Z</updated><link href="index.html#indexing.Indexing.time_indexing_basic?python=3.6&amp;p-key=%272slicess-1scalar%27&amp;commits=0a046dbdeff409728b4e9bf55fba9d2aae9acd07-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#indexing.Indexing.time_indexing_basic?python=3.6&amp;p-key=%272slicess-1scalar%27&amp;commits=0a046dbdeff409728b4e9bf55fba9d2aae9acd07-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;31.30% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/0a046dbdeff409728b4e9bf55fba9d2aae9acd07...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;0a046dbd...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 790μs, old value: 602μs.&lt;br&gt;
                Latest value: 790μs (31.30% worse than best value 602μs).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/9f4e33724dcc5a31d8a5b61c5f552e0173d851b4be515353456f081d12713c1f</id><title xml:lang="en">31.63% indexing.Indexing.time_indexing_basic('2slicess-1scalar')</title><updated>2019-10-20T01:23:02Z</updated><link href="index.html#indexing.Indexing.time_indexing_basic?python=3.6&amp;p-key=%272slicess-1scalar%27&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#indexing.Indexing.time_indexing_basic?python=3.6&amp;p-key=%272slicess-1scalar%27&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;31.63% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 793μs, old value: 602μs.&lt;br&gt;
                Latest value: 793μs (31.63% worse than best value 602μs).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/0677704e750159bd93efcd159cce2a44f95318c195cea839a37962ca90fb4632</id><title xml:lang="en">13.37% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'linear', None)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27linear%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27linear%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.37% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 42.7ms, old value: 37.6ms.&lt;br&gt;
                Latest value: 42.7ms (13.37% worse than best value 37.6ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/f530dcf6dd90456876bd03ff53078cfeff57cb9ef5d05d5e8a55f25cd0c1bb96</id><title xml:lang="en">13.50% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'linear', 3)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27linear%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27linear%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.50% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 45.5ms, old value: 40.1ms.&lt;br&gt;
                Latest value: 45.5ms (13.50% worse than best value 40.1ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/720a5ffb298749fee724a8a5de2b8b69db5af06063eee9880c6570713aaff870</id><title xml:lang="en">13.46% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'spline', None)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27spline%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27spline%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.46% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 42.7ms, old value: 37.6ms.&lt;br&gt;
                Latest value: 42.7ms (13.46% worse than best value 37.6ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/64437940030bd6fdff1a2400c0b819bbf2baf9a64ed346a062492e4b7d15c6ee</id><title xml:lang="en">14.13% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'spline', 3)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27spline%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27spline%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;14.13% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 45.8ms, old value: 40.1ms.&lt;br&gt;
                Latest value: 45.8ms (14.13% worse than best value 40.1ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/cb050ede34876f67daca28d14fcaa54f62a8aa095e228c692f9a7cb6777345c2</id><title xml:lang="en">13.57% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'quadratic', None)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27quadratic%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27quadratic%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.57% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 42.7ms, old value: 37.6ms.&lt;br&gt;
                Latest value: 42.7ms (13.57% worse than best value 37.6ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/da0f4a04605b3f8b5509dd2c0632f10367ea5fdb0905748414efdc0bac5a6749</id><title xml:lang="en">13.87% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'quadratic', 3)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27quadratic%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27quadratic%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.87% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 45.7ms, old value: 40.1ms.&lt;br&gt;
                Latest value: 45.7ms (13.87% worse than best value 40.1ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/8f2cc7740127d931d815440017de96dc7bf428f593d31608443f86af8f91ba19</id><title xml:lang="en">13.26% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'cubic', None)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27cubic%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27cubic%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.26% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 42.6ms, old value: 37.6ms.&lt;br&gt;
                Latest value: 42.6ms (13.26% worse than best value 37.6ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/dd5e80d3c341278bafc8c5cd98a84af1a910cd5944fcf4385be684e6b4ac7fa7</id><title xml:lang="en">13.24% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'cubic', 3)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27cubic%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27cubic%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.24% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 45.5ms, old value: 40.1ms.&lt;br&gt;
                Latest value: 45.5ms (13.24% worse than best value 40.1ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/0677704e750159bd93efcd159cce2a44f95318c195cea839a37962ca90fb4632</id><title xml:lang="en">13.14% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'linear', None)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27linear%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27linear%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.14% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 42.7ms, old value: 37.7ms.&lt;br&gt;
                Latest value: 42.7ms (13.14% worse than best value 37.7ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/f530dcf6dd90456876bd03ff53078cfeff57cb9ef5d05d5e8a55f25cd0c1bb96</id><title xml:lang="en">13.22% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'linear', 3)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27linear%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27linear%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.22% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 45.7ms, old value: 40.3ms.&lt;br&gt;
                Latest value: 45.7ms (13.22% worse than best value 40.3ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/720a5ffb298749fee724a8a5de2b8b69db5af06063eee9880c6570713aaff870</id><title xml:lang="en">13.23% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'spline', None)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27spline%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27spline%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.23% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 42.6ms, old value: 37.6ms.&lt;br&gt;
                Latest value: 42.6ms (13.23% worse than best value 37.6ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/64437940030bd6fdff1a2400c0b819bbf2baf9a64ed346a062492e4b7d15c6ee</id><title xml:lang="en">13.45% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'spline', 3)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27spline%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27spline%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.45% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 45.8ms, old value: 40.4ms.&lt;br&gt;
                Latest value: 45.8ms (13.45% worse than best value 40.4ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/cb050ede34876f67daca28d14fcaa54f62a8aa095e228c692f9a7cb6777345c2</id><title xml:lang="en">13.14% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'quadratic', None)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27quadratic%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27quadratic%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.14% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 42.6ms, old value: 37.7ms.&lt;br&gt;
                Latest value: 42.6ms (13.14% worse than best value 37.7ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/da0f4a04605b3f8b5509dd2c0632f10367ea5fdb0905748414efdc0bac5a6749</id><title xml:lang="en">13.81% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'quadratic', 3)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27quadratic%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27quadratic%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.81% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 45.7ms, old value: 40.2ms.&lt;br&gt;
                Latest value: 45.7ms (13.81% worse than best value 40.2ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/8f2cc7740127d931d815440017de96dc7bf428f593d31608443f86af8f91ba19</id><title xml:lang="en">13.47% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'cubic', None)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27cubic%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27cubic%27&amp;p-limit=None&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.47% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 42.6ms, old value: 37.6ms.&lt;br&gt;
                Latest value: 42.6ms (13.47% worse than best value 37.6ms).</content></entry><entry><id>tag:xarray.asv,2019-10-20:/dd5e80d3c341278bafc8c5cd98a84af1a910cd5944fcf4385be684e6b4ac7fa7</id><title xml:lang="en">13.65% dataarray_missing.time_interpolate_na((100, 25, 25), None, 'cubic', 3)</title><updated>2019-10-20T01:16:12Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27cubic%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=None&amp;p-method=%27cubic%27&amp;p-limit=3&amp;commits=df259331c5b66088f67738338e0b1b3f940e09c2-3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;13.65% regression&lt;/a&gt; on 2019-10-14 16:22:08 in commits &lt;a href="https://github.com/pydata/xarray/commit/../compare/df259331c5b66088f67738338e0b1b3f940e09c2...3f9069ba376afa35c0ca83b09a6126dd24cb8127"&gt;df259331...3f9069ba&lt;/a&gt;.&lt;br&gt;
                New value: 45.7ms, old value: 40.2ms.&lt;br&gt;
                Latest value: 45.7ms (13.65% worse than best value 40.2ms).</content></entry><entry><id>tag:xarray.asv,2019-08-24:/1a1772a85ece67993db4b460c5ae8676a862c1f7b1c852fc71a8b6e749073f0a</id><title xml:lang="en">10.91% dataarray_missing.time_interpolate_na((100, 25, 25), {'x': 25, 'y': 25}, 'cubic', 3)</title><updated>2019-08-24T03:13:15Z</updated><link href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=%7B%27x%27%3A+25%2C+%27y%27%3A+25%7D&amp;p-method=%27cubic%27&amp;p-limit=3&amp;commits=79dc7dc461c7540cc0b84a98543c6f7796c05268" /><content type="html" xml:lang="en">&lt;a href="index.html#dataarray_missing.time_interpolate_na?python=3.6&amp;p-shape=%28100%2C+25%2C+25%29&amp;p-chunks=%7B%27x%27%3A+25%2C+%27y%27%3A+25%7D&amp;p-method=%27cubic%27&amp;p-limit=3&amp;commits=79dc7dc461c7540cc0b84a98543c6f7796c05268"&gt;10.91% regression&lt;/a&gt; on 2019-08-23 15:33:03 in commit &lt;a href="https://github.com/pydata/xarray/commit/79dc7dc461c7540cc0b84a98543c6f7796c05268"&gt;79dc7dc4&lt;/a&gt;.&lt;br&gt;
                New value: 65.1ms, old value: 58.7ms.&lt;br&gt;
                Latest value: 65.1ms (10.91% worse than best value 58.7ms).</content></entry><entry><id>tag:xarray.asv,2017-08-20:/177e80f0bc843e789291e8f58f2d35417f2842007dec5ea99a38a483d801e531</id><title xml:lang="en">7.08% dataset_io.IOWriteSingleNetCDF3.time_write_dataset_netcdf4</title><updated>2017-08-20T01:47:55Z</updated><link href="index.html#dataset_io.IOWriteSingleNetCDF3.time_write_dataset_netcdf4?python=3.6&amp;commits=dbf9307db5ce51ef9e59ccc78387ac7ceda6b1b8" /><content type="html" xml:lang="en">&lt;a href="index.html#dataset_io.IOWriteSingleNetCDF3.time_write_dataset_netcdf4?python=3.6&amp;commits=dbf9307db5ce51ef9e59ccc78387ac7ceda6b1b8"&gt;7.08% regression&lt;/a&gt; on 2017-07-27 14:57:29 in commit &lt;a href="https://github.com/pydata/xarray/commit/dbf9307db5ce51ef9e59ccc78387ac7ceda6b1b8"&gt;dbf9307d&lt;/a&gt;.&lt;br&gt;
                New value: 384ms, old value: 359ms.&lt;br&gt;
                Latest value: 384ms (8.28% worse than best value 355ms).</content></entry><entry><id>tag:xarray.asv,2017-08-20:/177e80f0bc843e789291e8f58f2d35417f2842007dec5ea99a38a483d801e531</id><title xml:lang="en">5.98% dataset_io.IOWriteSingleNetCDF3.time_write_dataset_netcdf4</title><updated>2017-08-20T01:47:55Z</updated><link href="index.html#dataset_io.IOWriteSingleNetCDF3.time_write_dataset_netcdf4?python=3.6&amp;commits=dbf9307db5ce51ef9e59ccc78387ac7ceda6b1b8" /><content type="html" xml:lang="en">&lt;a href="index.html#dataset_io.IOWriteSingleNetCDF3.time_write_dataset_netcdf4?python=3.6&amp;commits=dbf9307db5ce51ef9e59ccc78387ac7ceda6b1b8"&gt;5.98% regression&lt;/a&gt; on 2017-07-27 14:57:29 in commit &lt;a href="https://github.com/pydata/xarray/commit/dbf9307db5ce51ef9e59ccc78387ac7ceda6b1b8"&gt;dbf9307d&lt;/a&gt;.&lt;br&gt;
                New value: 375ms, old value: 354ms.&lt;br&gt;
                Latest value: 375ms (5.98% worse than best value 354ms).</content></entry><entry><id>tag:xarray.asv,2017-08-20:/2bb6fc4811667c662d262af75b097fdc2df5e07b0fc56a0b514834fb1448714c</id><title xml:lang="en">6.27% dataset_io.IOWriteMultipleNetCDF3.time_write_dataset_scipy</title><updated>2017-08-20T01:47:50Z</updated><link href="index.html#dataset_io.IOWriteMultipleNetCDF3.time_write_dataset_scipy?python=2.7&amp;commits=dbf9307db5ce51ef9e59ccc78387ac7ceda6b1b8" /><content type="html" xml:lang="en">&lt;a href="index.html#dataset_io.IOWriteMultipleNetCDF3.time_write_dataset_scipy?python=2.7&amp;commits=dbf9307db5ce51ef9e59ccc78387ac7ceda6b1b8"&gt;6.27% regression&lt;/a&gt; on 2017-07-27 14:57:29 in commit &lt;a href="https://github.com/pydata/xarray/commit/dbf9307db5ce51ef9e59ccc78387ac7ceda6b1b8"&gt;dbf9307d&lt;/a&gt;.&lt;br&gt;
                New value: 125ms, old value: 118ms.&lt;br&gt;
                Latest value: 125ms (6.27% worse than best value 118ms).</content></entry><entry><id>tag:xarray.asv,2017-08-19:/9bef39b719ed8fb7b3a816002aa6169911ea5a776c48840110923f242d1aa007</id><title xml:lang="en">7.71% dataset_io.IOReadMultipleNetCDF4Dask.time_open_dataset_netcdf4_with_block_chunks_multiprocessing</title><updated>2017-08-19T06:01:25Z</updated><link href="index.html#dataset_io.IOReadMultipleNetCDF4Dask.time_open_dataset_netcdf4_with_block_chunks_multiprocessing?python=2.7&amp;commits=f9464fd74d49b2d89bf973a810b7e78720304989" /><content type="html" xml:lang="en">&lt;a href="index.html#dataset_io.IOReadMultipleNetCDF4Dask.time_open_dataset_netcdf4_with_block_chunks_multiprocessing?python=2.7&amp;commits=f9464fd74d49b2d89bf973a810b7e78720304989"&gt;7.71% regression&lt;/a&gt; on 2017-08-08 12:00:30 in commit &lt;a href="https://github.com/pydata/xarray/commit/f9464fd74d49b2d89bf973a810b7e78720304989"&gt;f9464fd7&lt;/a&gt;.&lt;br&gt;
                New value: 90.3ms, old value: 83.8ms.&lt;br&gt;
                Latest value: 90.3ms (7.71% worse than best value 83.8ms).</content></entry><entry><id>tag:xarray.asv,2017-08-19:/39430fabcc087b89374b4ffbfa98a51a5c0814452a28faa01cb9d4d8ec093c77</id><title xml:lang="en">7.28% dataset_io.IOReadMultipleNetCDF4Dask.time_open_dataset_netcdf4_with_block_chunks</title><updated>2017-08-19T06:01:22Z</updated><link href="index.html#dataset_io.IOReadMultipleNetCDF4Dask.time_open_dataset_netcdf4_with_block_chunks?python=3.6&amp;commits=f9464fd74d49b2d89bf973a810b7e78720304989" /><content type="html" xml:lang="en">&lt;a href="index.html#dataset_io.IOReadMultipleNetCDF4Dask.time_open_dataset_netcdf4_with_block_chunks?python=3.6&amp;commits=f9464fd74d49b2d89bf973a810b7e78720304989"&gt;7.28% regression&lt;/a&gt; on 2017-08-08 12:00:30 in commit &lt;a href="https://github.com/pydata/xarray/commit/f9464fd74d49b2d89bf973a810b7e78720304989"&gt;f9464fd7&lt;/a&gt;.&lt;br&gt;
                New value: 76.6ms, old value: 71.4ms.&lt;br&gt;
                Latest value: 76.6ms (7.28% worse than best value 71.4ms).</content></entry><entry><id>tag:xarray.asv,2017-08-19:/3bddf59358e73517e804d48d050c645c3b455009e3cf9ec52d241db57b5013ec</id><title xml:lang="en">10.33% dataset_io.IOReadMultipleNetCDF3Dask.time_open_dataset_netcdf4_with_block_chunks</title><updated>2017-08-19T06:00:33Z</updated><link href="index.html#dataset_io.IOReadMultipleNetCDF3Dask.time_open_dataset_netcdf4_with_block_chunks?python=3.6&amp;commits=f9464fd74d49b2d89bf973a810b7e78720304989" /><content type="html" xml:lang="en">&lt;a href="index.html#dataset_io.IOReadMultipleNetCDF3Dask.time_open_dataset_netcdf4_with_block_chunks?python=3.6&amp;commits=f9464fd74d49b2d89bf973a810b7e78720304989"&gt;10.33% regression&lt;/a&gt; on 2017-08-08 12:00:30 in commit &lt;a href="https://github.com/pydata/xarray/commit/f9464fd74d49b2d89bf973a810b7e78720304989"&gt;f9464fd7&lt;/a&gt;.&lt;br&gt;
                New value: 66.9ms, old value: 60.6ms.&lt;br&gt;
                Latest value: 66.9ms (10.96% worse than best value 60.3ms).</content></entry></feed>