Question

将以下数据视为数据框。如果我计算数据框，那么它给出6。我想只计算在东列不为空的行？

import pandas as pd
import numpy as np
from sklearn.cluster import KMeans
from scipy.spatial.distance import cdist

X = pd.DataFrame(np.random.rand(10,5))
model= KMeans(n_clusters=3)
clusassign = model.fit_predict(X.as_matrix())
min_dist = np.min(cdist(X.as_matrix(), model.cluster_centers_, 'euclidean'), axis=1)
Y = pd.DataFrame(min_dist, index=X.index, columns=['Center_euclidean_dist'])
Z = pd.DataFrame(clusassign, index=X.index, columns=['cluster_ID'])
PAP = pd.concat([Y,Z], axis=1)
grouped = PAP.groupby(['cluster_ID'])
grouped.idxmin()

Answer 1

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Answer 2

如下所示将给出结果： -

select count(*) from 
(select COALESCE(*) as x from table_name) tmp 
 where x is not null

Spark DataFrame：仅当至少一列不为空时才计算行？

2 个答案: