Question

基于this post，

import pandas as pd
inp = [{'c1':10,'cols':{'c2':20,'c3':'str1'}, 'c4':'41'}, {'c1':11,'cols':{'c2':20,'c3':'str2'},'c4':'42'}, {'c1':12,'cols':{'c2':20,'c3':'str3'},'c4':'43'}]
df = pd.DataFrame(inp)
pd.io.json.json_normalize(df.to_dict('records'))

上面的脚本效果很好。

对inp进行很少的更改：

inp=[{'c1':10,'cols':{'c2':5,'c3':NaT}, 'c4':'41'}, {'c1':11,'cols':{'c2':Timestamp('2014-06-03 21:19:26'),'c3':'str2'},'c4':'42'}, {'c1':12,'cols':{'c2':20,'c3':'str3'},'c4':'43'}]
df = pd.DataFrame(inp)
pd.io.json.json_normalize(df.to_dict('records'))

我只是将str1更改为NaT，将20更改为Timestamp('2014-06-03 21:19:26')，脚本运行不正常，出现以下错误：

NameError: name 'NaT' is not defined
NameError: name 'Timestamp' is not defined

由于NaT在实际数据中很常见，是什么原因导致错误？

Answer 1

您应该指的是pd.NaT和pd.Timestamp：

inp=[{'c1':10,'cols':{'c2':5,'c3':pd.NaT}, 'c4':'41'}, {'c1':11,'cols':{'c2':pd.Timestamp('2014-06-03 21:19:26'),'c3':'str2'},'c4':'42'}, {'c1':12,'cols':{'c2':20,'c3':'str3'},'c4':'43'}]

`NameError：未定义名称'NaT'和`NameError：未定义名称'Timestamp'`

1 个答案: