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remove highmem hub from toronto
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book/cloud.md

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@@ -92,6 +92,10 @@ df = pd.read_csv("data/hub-activity.csv")
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df = df[~df.hub.str.contains("staging")]
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df = df[~df.cluster.str.contains("prometheus")]
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# Remove utoronto/highmem - this hub had a data collection bug from Feb 6 to Apr 2, 2025
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# that was double-counting users from other hubs (see: https://github.com/2i2c-org/meta/issues/2818)
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df = df[~((df.cluster == "utoronto") & (df.hub == "highmem"))]
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# To make it easier to visualize these
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df["clusterhub"] = df.apply(lambda a: f"{a['cluster']}/{a['hub']}", axis=1)
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```

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