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)