Question

我通过从csv文件中读取数据帧来在Pandas中创建数据帧。数据框包含多个浮点值。当我使用itertuples遍历我的数据帧时，一个浮点值从2.3变为2.2999999999999998。首先我认为这可能会发生，因为数据格式从数据帧变为元组，但值在数据帧和元组中都存储为float。

所以我的问题是：为什么会这样？

print(dfAll) 
speed=dfAll['speed']
for value in motion:
   print(type(value))
for t in dfAll.itertuples():
   print(type(t.speed))
   print(t)

phase  motion  speed  attention shape_speed shape_combination  fail
0      1      80    1.7         90          up                up     0
1      1      89    1.5         85        same              same     0
2      1      75    2.3         75        down              down     0
3      1      82    2.5         80        same              same     0
4      1      30    0.0          0           0                 0     1
<type 'numpy.float64'>
<type 'numpy.float64'>
<type 'numpy.float64'>
<type 'numpy.float64'>
<type 'numpy.float64'>
<type 'numpy.float64'>
Pandas(Index=0, phase=1, motion=80, speed=1.7, attention=90, shape_speed=u'up', shape_combination=u'up', fail=0)
<type 'numpy.float64'>
 Pandas(Index=1, phase=1, motion=89, speed=1.5, attention=85, shape_speed=u'same', shape_combination=u'same', fail=0)
<type 'numpy.float64'>
 Pandas(Index=2, phase=1, motion=75, speed=2.2999999999999998, attention=75, shape_speed=u'down', shape_combination=u'down', fail=0)
<type 'numpy.float64'>
Pandas(Index=3, phase=1, motion=82, speed=2.5, attention=80,   shape_speed=u'same', shape_combination=u'same', fail=0)
<type 'numpy.float64'>
Pandas(Index=4, phase=1, motion=30, speed=0.0, attention=0, shape_speed=u'0', shape_combination=u'0', fail=1)

迭代Dataframe时，浮点值会发生变化

0 个答案: