将对象转换为浮点数的基本问题

Question

我是编程新手，遇到了这个问题：

y = pd.to_numeric(final_list\[1\])

Traceback (most recent call last):

File pandas_libs\lib.pyx:2315 in pandas._libs.lib.maybe_convert_numeric

ValueError: Unable to parse string "- "

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

Input In [66] in <cell line: 1>

y = pd.to_numeric(final_list\[1\])

File ~\anaconda3\lib\site-packages\pandas\core\tools\numeric.py:184 in to_numeric values, _ = lib.maybe_convert_numeric(

File pandas_libs\lib.pyx:2357 in pandas._libs.lib.maybe_convert_numeric

ValueError: Unable to parse string "- " at position 265066"

我试过了

y = pd.to_numeric(final_list\[1\])

还有

y = final_list\[1\].astype(float, errors = 'raise')

都说不可能，因为“-”

我需要做什么？将“-”转换为 NaN？我该怎么做？

谢谢

Answer 1

其中一个解决方案是将此类 non-convertible 情况转换为 NaN：

y = pd.to_numeric(final_list[1], errors='coerce')

将对象转换为浮点数的基本问题

Basic question on transforming object into float

python

pandas

dataset

transformation