find the most similar rows in two dataframes
import scipy
ary = scipy.spatial.distance.cdist(df2, df1, metric='euclidean')
df2[ary==ary.min()]
Out[894]:
A B C D
14 16 66 83 13
find the most similar rows in two dataframes
import scipy
ary = scipy.spatial.distance.cdist(df2, df1, metric='euclidean')
df2[ary==ary.min()]
Out[894]:
A B C D
14 16 66 83 13
count duplicates in one column pandas
df.pivot_table(index=['DataFrame Column'], aggfunc='size')
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