文章目錄1.flat—數組元素迭代器2.flatten—返回一份數組拷貝,對拷貝所做的修改不會影響原始數組 1.flat—數組元素迭代器 import numpy as npa = np.arange(9).reshape(3,3) print ('原始數組:')
for row in a:print (row)#對數組中每個元素都進行
?Seaborn回歸分析繪圖%matplotlib inlineimport numpy as npimport pandas as pdimport matplotlib as mplimport matplotlib.pyplot as pltimport seaborn as snssns.set(color_codes=True)np.random.seed(sum(map(ord, "regression")))tips = sns.load_data
可以轉成dictdefdictlist(node):res={}res[node.tag]={}python中的dict,xmltodict(node,res[node.tag])reply={}reply[node.tag]=res[node.tag]returnreplydefxmltodict(node,res):addict,rep={}iflen(node):#n = 0for n inlist(node):rep[node.tag