我对 Python 还很陌生，我正在尝试下载羽毛库，但出现错误。我已经更新了 pip 和 setuptools，但仍然出现错误。这是我从 PyCharm 得到的输出：
Collecting feather
Using cached https://files.pythonhosted.org/packages/77/d1/073c848713d9987f48d0bc8415646760a069ef3ca80e9b45fdb6b4422133/feather-0.9.1dev.tar.gz
Complete output from command python setup.py egg_info:
Downloading http://pypi.python.org/packages/source/d/distribute/distribute-0.6.14.tar.gz
Traceback (most recent call last):
File "C:\Users\NICKAL~1\AppData\Local\Temp\pycharm-packaging\feather\distribute_setup.py", line 143, in use_setuptools
raise ImportError
ImportError
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\NICKAL~1\AppData\Local\Temp\pycharm-packaging\feather\setup.py", line 3, in <module>
distribute_setup.use_setuptools()
File "C:\Users\NICKAL~1\AppData\Local\Temp\pycharm-packaging\feather\distribute_setup.py", line 145, in use_setuptools
return _do_download(version, download_base, to_dir, download_delay)
File "C:\Users\NICKAL~1\AppData\Local\Temp\pycharm-packaging\feather\distribute_setup.py", line 124, …当我在 for 循环中迭代时，我不断收到相同的警告，我想抑制它。警告内容如下：
C:\Users\Nick Alexander\AppData\Local\Programs\Python\Python37\lib\site-packages\sklearn\preprocessing\data.py:193: UserWarning: Numerical issues were encountered when scaling the data and might not be solved. The standard deviation of the data is probably very close to 0. warnings.warn("Numerical issues were encountered "
产生警告的代码如下：
def monthly_standardize(cols, df_train, df_train_grouped, df_val, df_val_grouped, df_test, df_test_grouped):
# Disable the SettingWithCopyWarning warning
pd.options.mode.chained_assignment = None
for c in cols:
df_train[c] = df_train_grouped[c].transform(lambda x: scale(x.astype(float)))
df_val[c] = df_val_grouped[c].transform(lambda x: scale(x.astype(float)))
df_test[c] = df_test_grouped[c].transform(lambda x: scale(x.astype(float)))
return df_train, df_val, df_test
我已经禁用了一个警告。我不想禁用所有警告，我只想禁用此警告。我正在使用 python 3.7 和 …