python使用技巧

1.Python DataFrame大规模循环插入数据：

    You could create a list of dictionaries, where each dictionary corresponds to an input data row. Once the list is complete, then create a data frame. This is a much faster approach.

rows_list = []for row in input_rows:        dict1 = {}        # get input row in dictionary format        # key = col_name        dict1.update(blah..)         rows_list.append(dict1)df = pd.DataFrame(rows_list,columns = ['NAME', 'AGE'])

2.if 结构简化

# 如果需要检查几个数值，可以用list进行替换：if n in [1,4,5,6]:if n==1 or n==4 or n==5 or n==6: