我得到了一个ValueError错误:无法强迫串联，长度必须为1:给定0
我得到了一个ValueError错误:无法强迫串联，长度必须为1:给定0
提问于 2022-10-10 22:38:05
我想在python中运行这段代码，但是我收到了以下错误：ValueError: Unable to coerce to Series, length must be 1: given 0。我已经读取了一个CSV文件，并希望运行以下代码：
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from numpy.core.fromnumeric import sort
## import data set
data = pd.read_csv('trial_incomes.csv')
print(data.head(10))
def H_function(*args):
Hash=[]
for i in args:
hashedfunction=(6*(i)+1) % 5
Hash+=hashedfunction
print (Hash)
H_function(data) 错误：
ValueError Traceback (most recent call last)
Input In [58], in <cell line: 9>()
5 Hash+=hashedfunction
6 print (Hash)
----> 9 H_function(data)
Input In [58], in H_function(*args)
3 for i in args:
4 hashedfunction=(6*(i)+1) % 5
----> 5 Hash+=hashedfunction
6 print (Hash)
File ~\miniforge3\lib\site-packages\pandas\core\ops\common.py:72, in _unpack_zerodim_and_defer.<locals>.new_method(self, other)
68 return NotImplemented
70 other = item_from_zerodim(other)
---> 72 return method(self, other)
File ~\miniforge3\lib\site-packages\pandas\core\arraylike.py:107, in OpsMixin.__radd__(self, other)
105 @unpack_zerodim_and_defer("__radd__")
106 def __radd__(self, other):
--> 107 return self._arith_method(other, roperator.radd)
File ~\miniforge3\lib\site-packages\pandas\core\frame.py:7584, in DataFrame._arith_method(self, other, op)
7581 axis = 1 # only relevant for Series other case
7582 other = ops.maybe_prepare_scalar_for_op(other, (self.shape[axis],))
-> 7584 self, other = ops.align_method_FRAME(self, other, axis, flex=True, level=None)
7586 new_data = self._dispatch_frame_op(other, op, axis=axis)
7587 return self._construct_result(new_data)
File ~\miniforge3\lib\site-packages\pandas\core\ops\__init__.py:283, in align_method_FRAME(left, right, axis, flex, level)
279 raise ValueError(
280 f"Unable to coerce list of {type(right[0])} to Series/DataFrame"
281 )
282 # GH17901
--> 283 right = to_series(right)
285 if flex is not None and isinstance(right, ABCDataFrame):
286 if not left._indexed_same(right):
File ~\miniforge3\lib\site-packages\pandas\core\ops\__init__.py:240, in align_method_FRAME.<locals>.to_series(right)
238 else:
239 if len(left.columns) != len(right):
--> 240 raise ValueError(
241 msg.format(req_len=len(left.columns), given_len=len(right))
242 )
243 right = left._constructor_sliced(right, index=left.columns)
244 return right
ValueError: Unable to coerce to Series, length must be 1: given 0回答 1
Stack Overflow用户
回答已采纳
发布于 2022-10-11 03:12:39
好吧，有那么多你还没告诉我们，但问题是。
您对DataFrame的处理是错误的。您使用参数列表(*args)将数据文件传递给您的函数。这会将dataframe转换为迭代器，当您迭代一个dataframe时，它会以一组列的形式出现。因此，args最终成为了一个包含单列数据的列表，作为一个熊猫系列。当您执行for i in args:时，i作为整个专栏收尾。最后对整个列进行数学运算，但是当您试图将该列添加到列表中时，不支持该操作。
我假设您的CSV文件有一列数字，并且您希望对该列的每一行进行循环中的计算。如果是这样的话，这就是你想要的：
import pandas as pd
import numpy as np
data = pd.read_csv('x.csv')
print(data.head(10))
def H_function(*args):
Hash=[]
for i in args:
hashedfunction=(6*(i)+1) % 5
Hash.append(hashedfunction)
return Hash
print(H_function(data['income']))有了这一投入：
income
1234.00
2345.00
3456.00
4576.00
12000.00
24000.00
36000.00
48000.00
60000.00
921.11
922.22
933.33我得到了这个输出：
income
0 1234.00
1 2345.00
2 3456.00
3 4576.00
4 12000.00
5 24000.00
6 36000.00
7 48000.00
8 60000.00
9 921.11
[0 0.00
1 1.00
2 2.00
3 2.00
4 1.00
5 1.00
6 1.00
7 1.00
8 1.00
9 2.66
10 4.32
11 0.98
Name: income, dtype: float64]页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/74021314
复制相关文章
相似问题
腾讯云开发者
