import numpy as np
arr = np.array([1,2,3,4,5])
newarr = np.array_split(arr, 3)
print(newarr)
I got this error:
AttributeError: partially initialized module 'numpy' has no attribute 'array'
(most likely due to a circular import)
The issue might be the you probably have a file named numpy.py in your working directory. Since it has the same name as the module, it would shadow it would lead to this error. Rename that file and remove its numpy.pyc file.
Related
I am trying to run this code:
from pandas.io.parsers.readers import read_table
from tensorflow.python.ops.gen_io_ops import read_file
t_x, t_y = next(valid_gen)
But I always get this error:
AttributeError: module 'tensorflow' has no attribute 'read_file'.
I found that in many comments they mention that the function has been moved into the tensorflow.io module. Any one can help me to resolve this issue ?
Thanks
I'm a python beginner I'm facing issue on numpy
This is my code:
import numpy1 as np
a = np.array([(1, 2, 3), (4, 5, 6)])
print(a)
Error:
AttributeError: partially initialized module 'numpy1' has no attribute 'array' (most likely due to a circular import)
how to fix this?
Its fixed for me after changing the name of Python file, because 'numpy' is a build in file name.
I want to write a program which performs a periodogram on a series of measurement values listed in the file 'flux.txt' but I get the error:
module 'numpy' has no attribute 'testing'
The error also appears if I comment the whole code. I tried to update numpy but it's still updated. May someone help me please?
from scipy import signal
import numpy as np
import matplotlib.pyplot as plt
with open('flux.txt','r') as f:
item = f.readlines
print(item)
signal.periodogram(item)
plt.show()
I have used tensor-flow for ONE day, but there come some troubles, when I import tensor-flow, there would be AttributeError: 'module' object has no attribute 'variable'
I use Windows10, Python 3.5.3, Anaconda-3 4.4.0
here is my test code:
import tensorflow as tf
my_var = tf.Variable(tf.linspace(10.0, 13.0, 4))
with tf.Session() as sess:
print (sess.run(my_var))
I got this error:
Replace 'variable' with 'Variable', for example following code gives error:
initial_value=tf.random.normal(shape=(2,2))
a = tf.variable(initial_value)
print(a)
but this code gives successful output
initial_value=tf.random.normal(shape=(2,2))
a = tf.Variable(initial_value)
print(a)
It looks like you have written a module, random.py, which shadows the standard library's random module. Try renaming the file and check if the error goes away. You can tell it's importing your random.py at the bottom of the stacktrace you posted.
The following code executed from an IDLE window produces an error shown below.
import numpy as np
testarray = np.array([1,2,3], int)
Here is the error...
Traceback (most recent call last):
File "C:\Test\numpy.py", line 1, in <module>
import numpy as np
File "C:\Test\numpy.py", line 2, in <module>
testarray = np.array([1,2,3], int)
AttributeError: 'module' object has no attribute 'array'
>>>
If I do the same thing in the Shell, it works just fine...
>>> import numpy as np
>>> testarray = np.array([1,2,3], int)
>>> testarray
array([1, 2, 3])
>>>
This has been holding me up all day... anyone know how fix it? Perhaps I'm doing something wrong.
Note: If I just execute the code above without the testarray, no error gets returned.
You named a file numpy.py. Python sees that in the module search path and thinks it's the implementation of numpy. Pick a different name.