我有一个嵌套字典:
Night_interval={
'2010': {
Timestamp('2010-07-01 00:00:00'): 29,
Timestamp('2010-07-02 00:00:00'): 28,
Timestamp('2010-07-03 00:00:00'): 28,
Timestamp('2010-07-04 00:00:00'): 29,
Timestamp('2010-07-05 00:00:00'): 28
},
'2011': {
Timestamp('2010-07-01 00:00:00'): 29,
Timestamp('2010-07-02 00:00:00'): 28,
Timestamp('2010-07-03 00:00:00'): 28,
Timestamp('2010-07-04 00:00:00'): 29,
Timestamp('2010-07-05 00:00:00'): 28
},
'2012': {
Timestamp('2010-07-01 00:00:00'): 29,
Timestamp('2010-07-02 00:00:00'): 28,
Timestamp('2010-07-03 00:00:00'): 28,
Timestamp('2010-07-04 00:00:00'): 29,
Timestamp('2010-07-05 00:00:00'): 28
}
}
使用这本字典,我想创建一个与每个键关联的数据框字典,即2010
,2011
和2012
。我还想将时间戳作为每个数据帧中的索引。我尝试编写以下代码:
Years = ['2010','2011','2012']
for key in Years:
df_interval[key] = pd.DataFrame(Night_interval[key])
但是,我收到此错误: ValueError: If using all scalar values, you must pass an index
我无法找到我做错的地方。我将不胜感激任何帮助。
如果需要 dict 使用DataFrame
带有列名的构造函数:
df_interval = {}
Years = ['2010','2011','2012']
for key in Years:
df_interval[key] = pd.DataFrame({key:Night_interval[key]})
print (df_interval['2012'])
2012
2010-07-01 29
2010-07-02 28
2010-07-03 28
2010-07-04 29
2010-07-05 28
df_interval = {}
Years = ['2010','2011','2012']
for key in Years:
df_interval[key] = pd.DataFrame({'a':Night_interval[key]})
print (df_interval['2012'])
a
2010-07-01 29
2010-07-02 28
2010-07-03 28
2010-07-04 29
2010-07-05 28
或者,如果只有一列是可能创造dict
的Series
:
df_interval = {}
Years = ['2010','2011','2012']
for key in Years:
df_interval[key] = pd.Series(Night_interval[key], name=key)
print (df_interval['2012'])
2010-07-01 29
2010-07-02 28
2010-07-03 28
2010-07-04 29
2010-07-05 28
Name: 2012, dtype: int64
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我来说两句