從pd.DataFrame獲得列標籤索引的有效方法

Question

我有這種方法，根據標籤抓取pandas dataframe的列，但通過numpy索引要快得多。

有沒有辦法在pandas或numpy從列標籤到列索引沒有迭代？

DF_var = pd.DataFrame(np.random.random((5,10)), columns=["attr_%d" % _ for _ in range(10)]) 
query_cols = ["attr_2","attr_5","attr_6","attr_0"] 
want_idx = [0,2,5,6] 

# Something like np.where w/o iterating through? 
# np.where(query_cols in DF_var.columns) 
# TypeError: unhashable type: 'list' 

# np.where(x in DF_var.columns for x in query_cols) 
# (array([0]),) 


long_way = list() 
for i, label in enumerate(DF_var.columns): 
    if label in query_cols: 
     long_way.append(i) 
# print(sorted(long_way)) 
# [0, 2, 5, 6] 

Answer 1

short_way = [df.columns.get_loc(col) for col in query_cols] 
print(sorted(short_way)) 
# outputs [0, 2, 5, 6]