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Attributeerror: module 'numpy' has no attribute 'arrange'

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Closed. This question is off topic. He is not currently accepting answers. I'm running this code and I'm continuing to get this error: enter the image description here Download the script demo LINK Your comment on this question: Your comment on this answer: Related questions in Python pksherard Unladen Swallow Messages: 1 Topics: 1 Joined: July 2017 Reputation: 0 Python Beginner. I use the Canopy Python editor. I can't get the team to organize the work. ---------------------------------------- import numpy as np pp'np.arrange (10) pp'np.arrange (1.10) pp'np.arrange (1,10.1) all commands give error: AttributeError: 'module' object does not have the attribute 'organize' Tried many other combinations for argument, no luck. Larz60 aetate et sapientia Messages: 9,553 Topics: 355 Joined: Sep 2016 Reputation: 418 zivoni Minister stupid walking Messages: 331 Topics: 2 Joined: February 2017 Reputation: 65 Numpy has (range) features, not organize (). Your examples should be similar to pp.arange (10) nilamo Last Thursday: 3287 Topics: 94 Joined: Sep 2016 Reputation: 138 (July-01-2017, 12:44 PM) Pksherard posted: All commands give a bug: AttributeError: 'module' object does not have the attribute 'arrange' Tried many other combinations for argument, unlucky. For a future link, the bug tells you that the function you're trying to call doesn't exist. Moving the arguments around is not going to change that fact... Because the feature does not exist, there are no combination of arguments that will ever be valid. Want to improve this question? Update the issue, so it's on topic for stack overflow. Closed five years ago. Sounds like an incredibly basic error, I tried uninstalling and reinstalling the latest version of Numpy (1.9) and that didn't seem to solve my problem. I get the following error when trying to use the organization function: Traceback (last call last): File names.py, Line 37, zlt.gt; in top1000.index and np.arrange (len (top1000)) AttributeEror: 'module' object does not have the attribute 'organize' version print confirms that it is indeed 1.9. I couldn't meet anyone else to report this particular problem. I've also tried this on two separate Macs and still get the same exact bug. Import numpy as np panda imports, as PD print np.__version__ grouped - names.groupby ('year', 'sex') top1000 - grouped.apply (get_top1000) top1000.index and np.arrange (len (top1000)) Watch 116 Star 1.8 Forkk 734 You can't perform this action at this time. You've signed up with another tab or window. Reboot to update the session. You subscribe to another tab or window. Reboot to update the session. We use additional third-party analytical cookies to understand how you use so we can create the best products. Learn more. We use additional third-party analytical cookies to understand you use so we can create the best products. You can always update your choices by clicking on Cookie Preferences at the bottom of the page. For more information, see qlt;/module.html cookies are used to perform the main functions of a website, for example, they are used to log in. Find out more Always Active We use analytical cookies to understand how you use our websites so we can make them better, for example, they are used to gather information about the pages you visit and how many clicks you need to accomplish the task. Find out more 1000SageMaker ! D: UsersAppDataAppDataLocal programsPython-Python35-python.exe D:/360c/shaozhechen-learn_tensorflow Master/learn_tensorflow/Save_weight.py Traceback (last call last): File D:/360c/shaozhechen-learn_tensorflow-master/learn_tensorflow/Save_weight.py, line 26, In Wthf. Variable (np.arrange (6).reshape (((((2,3)), dtype-tf.float32, name 'weights') AttributeError: the module 'numpy' has no attribute to 'organize' .numpy (1.9), :Traceback (last call last): File names.py, line 37, zlt'z module'gt; in top1000.index and np.arrange (len (top1000)) AttributeError: 'module' object has no attribute to 'organize' 1.9 Mac import numpy as np imported pandas, as PD np.__version__ and grouped and names.groupby (year', 'sex') top1000 - grouped.apply (get_top1000) top1000.index and np.arrange (len (top1000)) :,numpy.arange() I tried to download animated nodes, but can't make Numpy work, and have no idea how to install. I did a clean installation on the latest version (and the other tower works great), but this particular machine won't work. I didn't have to install Numpy on the work machine. The Numpy folder was installed, I even copied it into the Module folder, and it still won't work. I really need to use these nodes. When I try to import I get: Traceback (last call last): File'blender_console, line 1, in the lt'zgt; file C: FilesBlender Foundation program Blender Blender 2.78 'scripts'modulesumpy '__init__.py, line 180, in the zlt;module'gt; from . Imports add_newdocs File C: FileBlender Foundation Blender 2.78 ScriptsModulesumpy-add_newdocs.py, Line 13, from numpy.lib import add_newdoc File C: FilesBlender Foundation 2.78'scripts'modulesumpy'__init__.py, line 8, .type_check type_check Numpy.core.numeric imports as _nx AttributeError: 'numpy' module has no 'core' attribute in The Operations section, it seems that function f should be R'2 to R, not R to R. And in In 11 operations should be between x, x-th, etc. (there is written x'x, x-x,...). I get the next error when I run x nd.array (12). I installed mxnet in accordance with the introduction and activated the environment condid. Please report: AttributeError: 'mxnet.ndarray' module has no attribute to 'organize' Neglect, I nd.arrange() nd.arange() 'r'. . , ? </module></module></module></module></module></blender_console></module></module> </module></module></module></module></module></blender_console></module></module> how: I followed all the steps of the installation. I tried to put the code in a notebook by going to the d2l-en folder and then putting cmd on the address bar. When the team window pops up, I typed a laptop jupyter. Notes then appear and I open the notebook for this section. When I tried to run the code, the next error appears. Can someone help? Thanks to ModuleNotFoundError Traceback (last call last) in () ----'gt; 1 import mxnet as mx 2 from mxnet import nd ModuleFoundError: No module called mxnet Do you install mxnet? Use pip install mxnet or pip install mxnet-cuxx to replace xx with your version of cuda and multiply by 10, ex-pip install mxnet-cu100 for version cuda 10.0 It worked! Thanks for fixing Hi there, I'm stuck (again) on the data manipulation part (section 2.1). I opened a Bank Jupyter laptop to practice the code in the book. When I tried to import mxnet as mx and from mxnet nd imports, I get the following message. Does anyone know what that means and how to fix it? Thank you C:ProgramData-Anaconda3'site-packages-h5py_hl'base.py:19: DeprecationWarning: Use or import ABCs from collections, and not from 'collections.abc' is deprecated, and at 3.8 it will cease to work with import collections (Map, MutableMapping, KeysView, C: programData-Anaconda3-site-packages-sklearn'externals'joblib'func_inspect.py:53: DeprecationWarning: invalid escape sequence; Lt 'lt;doctest (. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . rst) (.)) (gt;', source_file).Group () C: ProgramData-Anaconda3lib-site-packages-sklearn-externals'joblib_memory_helpers.py:10: DeprecationWarning: invalid escape sequence (s cookie_re) re.coding:c)) C: ProgramDataAnaconda3'lib-site-packages-socks.py:58: DeprecationWarning: Use or import ABCs from 'collections' rather than from 'collections.abc', deformed, and at 3.8 it will stop working from collections, imported Callable Sorry, I don't know how to fix it. But I think the mxnet setup is perfectly normal. It's an anaconda that causes an error. Try removing the anaconda if possible. And then delete and reinstall mxnet. Is there any rule for the broadcasting mechanism because I am not able to broadcast with tensors for exercise - 2 This is what I tried for tensor: a q nd.random.normal (0, 1, form) (1, 6, 2)) b 1, form (6, 3, 1)) 1 As for broadcast you need to have size 1 sizes, or corresponding sizes through your tensors For example: a nd.random.normal (0, 1, form (1, 6, 2)) b nd.random.normal (0, 1, form (6, 6, 1) will be) will be 1 How I get it now thanks to Hello! I decided to exercise 4.1.7.3. Is this the most effective way to remember? Or can I improve nd.dot in some ways too? if I do x.norm (), it pops up the following error: mxnet.numpy.ndarray object has no attribute of the norm I think you call .norm () after converting your x to numpy numpy using .asnumpy .). Here's an explanation. Mxnet imports as mx from mxnet nd print imports (mx.__version__) - will print 1.4.1 a nd.array (0.1,2,3) print of the NDArray 1 q @cpu (0) (a.norm (a) (a.norm)) - will give an error, as it is a numpy array, not MXNet NDArray Or you should update your mxnet to 1.4.1 by installing a peep-update mxnet you still copy the buffer with and your mule operation (nd.dot). my solution: only use one buffer cloned from c. mulOut (c.zeros_like)nd.dot (a, b.T., from mule) nd.elemwise_add (c, mulOut, out'c) Hello! Thanks for the amazing tutorial. However, I'm still a little confused about the rules of the broadcasting mechanism. The following don't work and I don't know why. a np.arange (8).reshape (2,1, 4) b np.arange (8).reshape (8, 1, 1) a'b I also have the question of what the sum of the two matrix that are not defined to be added means. What is the result when I add different forms of matrix (when broadcasting is defined)? Thank you, any help would be very grateful! When and where I type from mxnet import np, npx ??? npx??? </NDArray> attributeerror module 'numpy' has no attribute 'arrange'. python attributeerror module 'numpy' has no attribute 'arrange'

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