我有一个看起来像这样的数据框:
data.head()
Out[2]:
Area Area Id Variable Name Variable Id Year \
0 Argentina 9 Conservation agriculture area 4454 1982
1 Argentina 9 Conservation agriculture area 4454 1987
2 Argentina 9 Conservation agriculture area 4454 1992
3 Argentina 9 Conservation agriculture area 4454 1997
4 Argentina 9 Conservation agriculture area 4454 2002
Value Symbol Md
0 2.0
1 6.0
2 500.0
我希望将数据透视,使得
变量名
成为列,地区
和年份
成为索引,值
成为数值。在我看来,最直观的方法是使用:data.pivot(index=['Area', 'Year'], columns='Variable Name', values='Value)
然而我收到了错误:
Traceback (most recent call last):
File "C:\Users\patri\Miniconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2862, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-4-4c786386b703>", line 1, in <module>
pd.concat(data_list).pivot(index=['Area', 'Year'], columns='Variable Name', values='Value')
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\frame.py", line 3853, in pivot
return pivot(self, index=index, columns=columns, values=values)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\reshape\reshape.py", line 377, in pivot
index=MultiIndex.from_arrays([index, self[columns]]))
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\series.py", line 250, in __init__
data = SingleBlockManager(data, index, fastpath=True)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\internals.py", line 4117, in __init__
fastpath=True)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\internals.py", line 2719, in make_block
return klass(values, ndim=ndim, fastpath=fastpath, placement=placement)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\internals.py", line 1844, in __init__
placement=placement, **kwargs)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\internals.py", line 115, in __init__
len(self.mgr_locs)))
ValueError: Wrong number of items passed 119611, placement implies 2
我该如何理解这个?我也尝试了另一种方式:
data.set_index(['Area', 'Variable Name', 'Year']).loc[:, 'Value'].unstack('Variable Name')
我尝试获取相同的结果,但是出现了错误:
Traceback (most recent call last):
File "C:\Users\patri\Miniconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2862, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-5-222325ea01e1>", line 1, in <module>
pd.concat(data_list).set_index(['Area', 'Variable Name', 'Year']).loc[:, 'Value'].unstack('Variable Name')
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\series.py", line 2028, in unstack
return unstack(self, level, fill_value)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\reshape\reshape.py", line 458, in unstack
fill_value=fill_value)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\reshape\reshape.py", line 110, in __init__
self._make_selectors()
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\reshape\reshape.py", line 148, in _make_selectors
raise ValueError('Index contains duplicate entries, '
ValueError: Index contains duplicate entries, cannot reshape
数据有问题吗?我确认数据帧的任何一行中都没有重复的组合
Area
,Variable Name
和Year
,所以我认为不应该有任何重复的条目,但我可能是错的。既然这两种方法都不起作用,我该如何从长格式转换为宽格式?我已经查看了这里和这里的答案,但它们都涉及到某种类型的聚合。我尝试使用pivot_table
,像这样:data.pivot_table(index=['Area', 'Year'], columns='Variable Name', values='Value')
但我认为正在进行某种聚合并且数据集中有很多缺失值,这导致了此错误:
Traceback (most recent call last):
File "C:\Users\patri\Miniconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2862, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-7-77b28d2f0dbb>", line 1, in <module>
pd.concat(data_list).pivot_table(index=['Area', 'Year'], columns='Variable Name', values='Value')
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\reshape\pivot.py", line 136, in pivot_table
agged = grouped.agg(aggfunc)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\groupby.py", line 4036, in aggregate
return super(DataFrameGroupBy, self).aggregate(arg, *args, **kwargs)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\groupby.py", line 3468, in aggregate
result, how = self._aggregate(arg, _level=_level, *args, **kwargs)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\base.py", line 435, in _aggregate
**kwargs), None
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\base.py", line 391, in _try_aggregate_string_function
return f(*args, **kwargs)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\groupby.py", line 1037, in mean
return self._cython_agg_general('mean', **kwargs)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\groupby.py", line 3354, in _cython_agg_general
how, alt=alt, numeric_only=numeric_only)
File "C:\Users\patri\Miniconda3\lib\site-packages\pandas\core\groupby.py", line 3425, in _cython_agg_blocks
raise DataError('No numeric types to aggregate')
pandas.core.base.DataError: No numeric types to aggregate
data.pivot_table(index=['Area', 'Year'], columns='Variable Name', values='Value)
是怎样的? - jezrael