对于一个“普通”的Python类,我习惯于可以任意添加额外的属性。例如,我可以执行以下操作: # Create a class
class MyClass: pass
# Create an object of this class
my_object = MyClass()
# Add any attribute I want
my_object.my_new_attribute = "Hello world!"
# Now it has this attribute and I can use it:
print(my_object.my_new_attribute
尝试使用np.select或np.where对DataFrame列运行方法。无论采用哪种方法,我都会收到错误消息,说“对象没有'select‘属性(如果我使用np.where,则是'where’)。当我转换列并检查特定的列类型时,它会返回一个numpy.ndarray。根据numpy文档,np.where和np.select都应该在numpy数组上工作。 检查转换为numpy数组的Series上的类型,在检查类型后,我尝试该方法并收到错误: type(np.array(daily_std_df['Daily_Std']))
numpy.ndarray
typ
在我的实验中,我有一个numpy对象的实例,我需要设置它的__hash__方法。
我尝试过不同的方法(实际上看起来是一样的):
import numpy as np
x = np.array([1, 2, 3])
x.flags.writeable = False # set the array immutable
setattr(x, '__hash__', lambda self: 0) # doesn't work without self either
AttributeError: 'numpy.ndarray' object attri
当使用自定义类的numpy array时:
class TestClass:
active = False
如何使用内联掩码(布尔索引数组),如下所示:
直接尝试失败:
items = np.array([TestClass() for _ in range(10)])
items[items.active]
AttributeError: 'numpy.ndarray' object has no attribute 'active'
有什么建议吗?
我创建了子图,并且我想修改每个子图的xlim。为此,我编写了以下代码: import numpy as np
import matplotlib.pyplot as plt
fig, axs = plt.subplots(2, 3, figsize=(20, 10))
for ax in np.nditer(axs, flags=['refs_ok']):
ax.set_xlim(left=0.0, right=0.5) 但是我得到了以下错误: AttributeError: 'numpy.ndarray' object has no attrib
下面是一个场景:
我有以下变量:
val = [('am', '<f8'), ('fr', '<f8')] # val is type numpy.recarray
am = [12.33, 1.22, 5.43, 15.23] # am is type numpy.ndarray
fr = [0.11, 1.23, 2.01, 1.01] # fr is type numpy.ndarray
我需要的是检测am = 12.33和am = 15.23的索引,一旦提取(在本例中索引是[0]和[
import os
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy
from scipy import signal
def get_sig_from_txt(directory_path, filename):
with open(directory_path + '\\' + filename) as f:
conte
import scipy as sp
import numpy as np
a=sp.sparse.coo_matrix(np.random.randint(0,9,[4,5]))
b=sp.sparse.coo_matrix(np.random.randint(0,9,[4,2]))
sp.hstack([a,b]).toarray()
就是给我
AttributeError: 'numpy.ndarray' object has no attribute 'toarray'
你能帮我解决我的愚蠢错误吗?
我有点迷失了用海运relplot向我的标记添加标签的最佳方法。我在matplotlib文档中看到有一个axes.text()方法看起来是正确的方法,但是这个方法似乎并不存在。在这个意义上,seaborn的行为是否与matplotlib不同?正确的方法是什么? 错误: AttributeError: 'numpy.ndarray' object has no attribute 'text' 代码: line_minutes_asleep = sns.relplot(
x = "sleep_date",
y = "minu
我有一个二维的物体数组。我想迭代这个数组,并打印每个对象的一些属性。下面是我的代码:
import numpy as np
class example:
def __init__(self):
self.number = 1
a = example()
b = example()
c = example()
d = example()
array = np.array([[a,b],[c,d]],dtype=np.object)
for x in np.nditer(array,["refs_ok"]):
print x
错误消息:AttributeError
我试着用下面的代码.But来绘制子图,我正在获取'AttributeError: 'numpy.ndarray' object has no attribute 'boxplot'。
但更改plt.subplots(1,2)时,它正在用索引错误绘制方框图。
import matplotlib.pyplot as plt
import seaborn as sns
fig = plt.Figure(figsize=(10,5))
x = [i for i in range(100)]
fig , axes = plt.subplots(2,2)
Department = input("Is there a list you would like to view")
readfile = pd.read_csv('6.csv')
filevalues= readfile.loc[readfile['Customer'].str.contains(Department, na=False), 'June-18\nQty']
filevalues = filevalues.fillna(int(0))
int_series = filevalues.values.ast