Error：‘numpy.ndarray‘ object has no attribute ‘write‘ ＞＞ print()与pprint()

源代码：

import pprint 
types = ["nearest","zero","slinear","quadratic","cubic"] #生成包含插值方法的列表
plt.figure(figsize =(8,6))
for i in types:
    f = interpolate.interp1d(x = t,y = rates,kind = i)
    rates_new = f(t_new) # 传入的参数可以是个array，会一一自动对应
    pprint.pprint(i,rates_new)
    plt.plot(t_new,rates_new,'o')
    plt.plot(t_new,rates_new,'-',label = i)
    plt.xticks(fontsize = 14)
    plt.xlabel(u'期限',fontsize = 14)
    plt.yticks(fontsize = 14)
    plt.ylabel(u'收益率',fontsize = 14)
    plt.legend(loc = 0,fontsize = 14)
    plt.grid()
plt.title(u'用插值法求2年期和4年期远期国债到期收益率',fontsize = 14)

原因：pprint的作用就是在于格式化输出，但是传入的对象类型不一致，并且是list才有write属性

# 语法：
pprint(object, stream=None, indent=1, width=80, depth=None,
,compact=False)

def pprint(self, object):
--> 148         self._format(object, self._stream, 0, 0, {
    
    }, 0)
    149         self._stream.write("\n")

解决：
用回print吧

types = ["nearest","zero","slinear","quadratic","cubic"] #生成包含插值方法的列表
plt.figure(figsize =(8,6))
for i in types:
    f = interpolate.interp1d(x = t,y = rates,kind = i)
    rates_new = f(t_new) # 传入的参数可以是个array，会一一自动对应
    print("待打印....",i,rates_new)