标签: valueerror

我正在尝试使用来自sklearn的LinearRegression，并且收到“无法将字符串转换为浮点型”的信息。数据框的所有列都是浮点型的，输出y也是浮点型的。我看过其他帖子，建议将其转换为浮动内容。

<class 'pandas.core.frame.DataFrame'>
Int64Index: 789 entries, 158 to 684
Data columns (total 8 columns):
f1     789 non-null float64
f2     789 non-null float64
f3     789 non-null float64
f4     789 non-null float64
f5     789 non-null float64
f6     789 non-null float64
OFF    789 non-null uint8
ON     789 non-null uint8
dtypes: float64(6), uint8(2)
memory usage: 44.7 KB

type(y_train)
pandas.core.series.Series
type(y_train[0])
float

from sklearn.model_selection import train_test_split
X_train,X_test,y_train,y_test=train_test_split(X,Y,random_state=0)
X_train.head()
from sklearn.linear_model import LinearRegression
linreg = LinearRegression().fit(X_train, y_train)

我得到的错误是

ValueError                                Traceback (most recent call last)
<ipython-input-282-c019320f8214> in …

我的数据框有子类别,每个类别下(cat,dog,bird),统计信息呈现.我需要删除行,如果它们包含count和中的信息freq,并且只保留行sd和mean值.有些值是 NaN.

ValueError 发生在我的代码中.

DF:

 var    stats    A     B     C
 cat     mean    2     3     4
 NaN     sd      2     1     3
 NaN     count   5     2     6
 NaN     freq    3     1     19
 dog     mean    8     1     2
 NaN     sd      2     1     3
 NaN     count   4     6     1
 NaN     freq    3     1     19   
 bird    mean    2     3     4
 NaN     sd      2     1     3
 NaN     count   5     2     6 …

我的操作系统是 Ubuntu。

当我运行我的 keras 模型时，我收到了这个错误消息。

我在谷歌上搜索了一些解决方案，但它们不起作用。例如，我已经尝试了这篇文章中提到的解决方案： How to fix Python ValueError:bad marshal data?

Using TensorFlow backend.
[INFO] loading network...
Traceback (most recent call last):
File "classify.py", line 43, in <module>
color_model = load_model(color_model_path, custom_objects={"tf": tf})
File "/home/ubuntufashion/.local/lib/python2.7/site- 
packages/keras/engine/saving.py", line 260, in load_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "/home/ubuntufashion/.local/lib/python2.7/site- 
packages/keras/engine/saving.py", line 334, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File "/home/ubuntufashion/.local/lib/python2.7/site- 
packages/keras/layers/__init__.py", line 55, in deserialize
printable_module_name='layer')
File "/home/ubuntufashion/.local/lib/python2.7/site- 
packages/keras/utils/generic_utils.py", line 145, in 
deserialize_keras_object
list(custom_objects.items())))
File "/home/ubuntufashion/.local/lib/python2.7/site- 
packages/keras/engine/network.py", line 1017, in from_config
process_layer(layer_data) …

#conftest.py

include pytest
def pytest_addoption(parser):
   parcer.addoption("--add", action="append")

@pytest.fixture(scope='session')
def adding(request):
    name_value = request.config.option.add
    if name_value == "plus":
        arg1 = 1
        arg2 = 2
        return arg1, arg2

#addition.py

@mark.first
def test_Valid_US_Phone_Number_1(adding):
    val1, val2 = adding
    assert val1 + val2 == 3

运行命令

$pytest -m first plusplus.py --add plus

我收到以下错误，有人可以帮忙吗？

File "c:\users\g702823\appdata\local\continuum1\anaconda3\lib\site-packages\_pytest\config\argparsing.py", line 72, in addoption
self._anonymous.addoption(*opts, **attrs)

File "c:\users\g702823\appdata\local\continuum1\anaconda3\lib\site-packages\_pytest\config\argparsing.py", line 303, in addoption
raise ValueError("option names %s already added" % conflict)

ValueError: option names {'--add'} already added

Q = [np.array([0, 1]), np.array([1, 2]), np.array([2, 3]), np.array([3, 4])]
for q in Q:
    print(q in Q)

运行上面的代码，它在第一次迭代时给出结果“True”，而随后出现 ValueError。

真的

ValueError：具有多个元素的数组的真值不明确。使用 a.any() 或 a.all()

我不知道为什么它在第二次迭代时开始出错。任何人都可以帮助我plz..

运行以下Python Panda代码时：

    xl          = pd.ExcelFile(dataFileUrl)
    sheets      = xl.sheet_names
    data        = xl.parse(sheets[0])
    colheaders  = list(data)

我收到ValueError：

Must explicitly set engine if not passing in buffer or path for io

毫无疑问，该文件肯定是excel文件。

怎么了？

以下是我的代码(仅模拟数字):

import pandas as pd 
d = {'x' : [1,4,6,9],
     'y' : [1,4,6,8]}
df = pd.DataFrame(d)
ct = pd.concat([df.x,
                pd.cut(df.y, bins=2)], axis=1)
gp = ct.groupby('x').y.value_counts().unstack().fillna(0)
print(gp)
print(gp[gp.columns[0]])
gp[gp.columns[0]] = gp[gp.columns[0]]/10

print(gp) 得到:

y  (0.993, 4.5]  (4.5, 8.0]
x                          
1           1.0         0.0
4           1.0         0.0
6           0.0         1.0
9           0.0         1.0

print(gp[gp.columns[0]]) 给出这个:

x
1    1.0
4    1.0
6    0.0
9    0.0
Name: (0.993, 4.5], dtype: float64

但是以下行:

gp[gp.columns[0]] = gp[gp.columns[0]]/10

抛出此错误:

ValueError: Buffer has wrong number of dimensions (expected 1, …

我是Python的新手,我在Lynda上使用视频教程来帮助我构建Social WebApp的框架.我正在尝试使用cmd python manage.py runserver从cmd 运行服务器,但是,我一直遇到此错误消息.

CMD PROMPT ERROR

Traceback (most recent call last):

File "C:\Users\Kelechi\AppData\Roaming\Python\Python35\site-packages\django\utils\autoreload.py", line 225, in wrapper
    fn(*args, **kwargs)
  File "C:\Users\Kelechi\AppData\Roaming\Python\Python35\site-packages\django\core\management\commands\runserver.py", line 121, in inner_run
    self.check(display_num_errors=True)
  File "C:\Users\Kelechi\AppData\Roaming\Python\Python35\site-packages\django\core\management\base.py", line 364, in check
    include_deployment_checks=include_deployment_checks,
  File "C:\Users\Kelechi\AppData\Roaming\Python\Python35\site-packages\django\core\management\base.py", line 351, in _run_checks
    return checks.run_checks(**kwargs)
  File "C:\Users\Kelechi\AppData\Roaming\Python\Python35\site-packages\django\core\checks\registry.py", line 73, in run_checks
    new_errors = check(app_configs=app_configs)
  File "C:\Users\Kelechi\AppData\Roaming\Python\Python35\site-packages\django\core\checks\urls.py", line 40, in check_url_namespaces_unique
    all_namespaces = _load_all_namespaces(resolver)
  File "C:\Users\Kelechi\AppData\Roaming\Python\Python35\site-packages\django\core\checks\urls.py", line 57, in _load_all_namespaces
    url_patterns = getattr(resolver, 'url_patterns', [])
  File "C:\Users\Kelechi\AppData\Roaming\Python\Python35\site-packages\django\utils\functional.py", line 36, in __get__ …

我正在尝试使用以下代码行将“数据”（大小为112943）截断为形状（1,15000）：

data = np.reshape(data, (1, 15000))

但是，这给了我以下错误：

ValueError: cannot reshape array of size 112943 into shape (1,15000)

关于如何解决此错误的任何建议？

任务1

编写一个脚本，从 STDIN 读取字符串，如果字符串超过 10 个字符，则引发 ValueError 异常，否则打印读取的字符串。

我这样写代码

a = input("Enter a string")
if(len(a) > 10):
    raise ValueError
else:
    print(a)

任务2

使用try ... except子句。打印 except 块内的错误消息。

我现在对如何使用try-except这里感到困惑，因为要打印except块中的任何消息，程序必须在try块中失败。

我的输入将是PythonIsAmazing