Question

我正在尝试将pandas DataFrame和Series写入xlwt工作表对象。一切顺利，除非我尝试写numpy.int64数据，在这种情况下xlwt喘气。在我的数据和单级索引中将int64更改为float64很简单，但是为MultiIndexes执行此操作的正确方法是什么？

t = pd.DataFrame(np.array(np.mat('0 1 0 1; 1 0 2 3; 1 1 2 4')))
arrays = [[1,2,3,4],[5,6,7,8]]
tuples = zip(*arrays)
index = pd.MultiIndex.from_tuples(tuples, names=['First','Second'])
t.columns = index
wb = xlwt.Workbook()
ws_1 = wb.add_sheet('simple index', cell_overwrite_ok=True)

In [137]: t
Out[137]: 
First   1  2  3  4
Second  5  6  7  8
0       0  1  0  1
1       1  0  2  3
2       1  1  2  4

In [157]: t.ix[0][1][5]
Out[157]: 0

In [158]: ws_1.row(0).write(0, t.ix[0][1][5])
------------------------------------------------------------
Traceback (most recent call last):
  File "<ipython console>", line 1, in <module>
  File "C:\Python27\lib\site-packages\xlwt\Row.py", line 259, in write
    raise Exception("Unexpected data type %r" % type(label))
Exception: Unexpected data type <type 'numpy.int64'>

In [159]: t.dtypes
Out[159]: 
First  Second
1      5         int64
2      6         int64
3      7         int64
4      8         int64

In [160]: idx = t.dtypes[t.dtypes == np.int64].index

In [161]: idx
Out[161]: 
MultiIndex
[(1, 5), (2, 6), (3, 7), (4, 8)]

In [163]: for i in idx:
   .....:             t[i] = t[i].astype(np.float64)
   .....: 

In [164]: t.dtypes
Out[164]: 
First  Second
1      5         float64
2      6         float64
3      7         float64
4      8         float64

In [165]: ws_1.row(0).write(0, t.ix[0][1][5])

In [167]: t.columns.levels
Out[167]: [Int64Index([1, 2, 3, 4], dtype=int64), Int64Index([5, 6, 7, 8], dtype=int64)]

In [168]: t.columns
Out[168]: 
MultiIndex
[(1, 5), (2, 6), (3, 7), (4, 8)]

In [169]: t.columns[0][0]
Out[169]: 1

In [170]: ws_1.row(0).write(0, t.columns[0][0])
------------------------------------------------------------
Traceback (most recent call last):
  File "<ipython console>", line 1, in <module>
  File "C:\Python27\lib\site-packages\xlwt\Row.py", line 259, in write
    raise Exception("Unexpected data type %r" % type(label))
Exception: Unexpected data type <type 'numpy.int64'>

Answer 1

for i in range(len(t.columns.levels)):
    if t.columns.levels[i].dtype == np.int64:
        t.columns.levels[i] = t.columns.levels[i].astype(np.float64)

将Int64Index更改为Index，将dtype = int64更改为dtype = object

1 个答案: