我试图合并两个熊猫数据帧，如下所示
df_aviris
0 1 2 3 4
0 0.0 0.0 0.0 482636.5 4155009.5
1 0.0 0.0 0.0 482637.5 4155009.5
2 0.0 0.0 0.0 482638.5 4155009.5
3 0.0 0.0 0.0 482639.5 4155009.5
4 0.0 0.0 0.0 482640.5 4155009.5
5 0.0 0.0 0.0 482641.5 4155009.5
6 0.0 0.0 0.0 482642.5 4155009.5
7 0.0 0.0 0.0 482643.5 4155009.5
8 0.0 0.0 0.0 482644.5 4155009.5
... ... ... ... ...
16730996 0.0 0.0 0.0 485932.5 4149940.5
16730997 0.0 0.0 0.0 485933.5 4149940.5
16730998 0.0 0.0 0.0 485934.5 4149940.5
16730999 0.0 0.0 0.0 485935.5 4149940.5
[16731000 rows x 5 columns]
df_geomap
0 1 2 x y
0 255.0 255.0 255.0 477642.5 4158373.5
1 255.0 255.0 255.0 477643.5 4158373.5
2 255.0 255.0 255.0 477644.5 4158373.5
3 255.0 255.0 255.0 477645.5 4158373.5
4 255.0 255.0 255.0 477646.5 4158373.5
5 255.0 255.0 255.0 477647.5 4158373.5
6 255.0 255.0 255.0 477648.5 4158373.5
... ... ... ... ...
79026747 255.0 255.0 255.0 487218.5 4150124.5
79026748 255.0 255.0 255.0 487219.5 4150124.5
79026749 255.0 255.0 255.0 487220.5 4150124.5
[79026750 rows x 5 columns]
我试图根据x和y合并这两个。
DFinal = pd.merge(df_aviris,df_geomap,how='outer',on=['x','y'],left_index=False,right_index=False,copy=False)
并使用concat
DFinal = pd.concat([df_aviris.set_index(['x','y']),df_geomap.set_index(['x','y'])],join='inner',axis=1)
但是得到如下错误
Traceback (most recent call last):
File "pandas/index.pyx", line 154, in pandas.index.IndexEngine.get_loc (pandas/index.c:4279)
File "pandas/src/hashtable_class_helper.pxi", line 404, in pandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:8543)
TypeError: an integer is required
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/indexes/base.py", line 2134, in get_loc
return self._engine.get_loc(key)
File "pandas/index.pyx", line 132, in pandas.index.IndexEngine.get_loc (pandas/index.c:4433)
File "pandas/index.pyx", line 156, in pandas.index.IndexEngine.get_loc (pandas/index.c:4363)
KeyError: 'x'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "pandas/index.pyx", line 154, in pandas.index.IndexEngine.get_loc (pandas/index.c:4279)
File "pandas/src/hashtable_class_helper.pxi", line 404, in pandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:8543)
TypeError: an integer is required
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-38-0a4bfba1b1f4>", line 1, in <module>
DFinal = pd.concat([df_aviris.set_index(['x','y']),df_geomap.set_index(['x','y'])],join='inner',axis=1)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/frame.py", line 2917, in set_index
level = frame[col]._values
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/frame.py", line 2059, in __getitem__
return self._getitem_column(key)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/frame.py", line 2066, in _getitem_column
return self._get_item_cache(key)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/generic.py", line 1386, in _get_item_cache
values = self._data.get(item)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/internals.py", line 3543, in get
loc = self.items.get_loc(item)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/indexes/base.py", line 2136, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas/index.pyx", line 132, in pandas.index.IndexEngine.get_loc (pandas/index.c:4433)
File "pandas/index.pyx", line 156, in pandas.index.IndexEngine.get_loc (pandas/index.c:4363)
KeyError: 'x'
我正在使用python 3.6.1
答案 0 :(得分：1)
x中没有问题y和df_aviris列。
因此需要outer加入：
DFinal = pd.merge(df_aviris,df_geomap,how='outer',left_on=[3,4], right_on=['x','y'])
#default outer join, join='outer' can be omit
DFinal = pd.concat([df_aviris.set_index([3,4]),
df_geomap.set_index(['x','y'])],axis=1)
.reset_index()
和inner加入：
#default inner join, how='inner' can be omit
DFinal = pd.merge(df_aviris,df_geomap,left_on=[3,4], right_on=['x','y'])
DFinal = pd.concat([df_aviris.set_index([3,4]),
df_geomap.set_index(['x','y'])],join='inner',axis=1)
.reset_index()
编辑：
我无法模拟：
TypeError：需要一个整数
可能有助于升级熊猫。
或者如果在浮点之后只有一个数字可以使用一点hack - 10的多个并转换为int并在merge之后除以10：
df_aviris1 = df_aviris.mul(10).astype(int)
df_geomap1 = df_geomap.mul(10).astype(int)
#choose method what need
DFinal = pd.merge(df_aviris1,df_geomap1,how='outer',left_on=[3,4], right_on=['x','y'])
DFinal = DFinal.div(10)
答案 1 :(得分：1)
使用astype（int）将其转换为整数类型，如下所示：
DFinal = pd.merge(df_aviris.astype(int),df_geomap.astype(int),how='outer',on=['x','y'],left_index=False,right_index=False,copy=False)