I have a pandas DataFrame with 229 rows. I have a list of index numbers ([47, 16, 59, ...]) and I want to re-sort the rows of my DataFrame into this order.
Details: I ran the DF through a filter (specifically, scipy.cluster.hierarchy.dendrogram, setting get_leaves=True). The return value includes a list of index numbers (leaves) in order of the dendrogram leaf nodes. I now want to sort my DF in that order, so that I can plot the clusters.
I’m sure there are many ways that I can merge a bunch of tables and drop columns but… is there a nice idiomatic way to do this?
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Answer
if the list is the same shape as df then just paste it in like so and sort by newly created column
df['List']=ListOfIndices df.sort_values(by=['List'])