I want to import pandas in anaconda_ Profiling: the import failed. PIP install later reported the error as mentioned in the title. Later, check the stack overflow to solve the problem. Here is a record of the solution. The four steps start:
conda install bottleneck
pip install p5py
pip install pep517
pip install pycaret
Enter in your Anaconda prompt environment in turn to solve the problem.
Record a problem. Anaconda3 CONDA version 4.6.7 is installed NB_ CONDA failed and damaged the original environment, resulting in an error as shown in the title.
It is speculated that there is a problem with the dependency. First, check the piptree and find that all dependencies are satisfied. However, I manually updated setuptools during the process of CONDA update CONDA. Although the update of CONDA update CONDA failed, the version of setuptools has been updated to 58.0.0,
– setuptools [required: >=36, installed: 58.0.0]
The highest requirement is only 36. It is suspected that the version is too new and the old version is not compatible. Then I tried the degraded version
pip uninstall setuptools
pip install setuptools==36.0.2Problem solving.
This happens
Solution: find the following path file, delete the two files indicated by the arrow, and restart Anaconda – the personal test is successful
The kernel is not connected
Error original
Traceback (most recent call last):
File "D:\Anaconda\envs\tf2\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "D:\Anaconda\envs\tf2\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "D:\Anaconda\envs\tf2\lib\site-packages\ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "D:\Anaconda\envs\tf2\lib\site-packages\traitlets\config\application.py", line 844, in launch_instance
app.initialize(argv)
File "D:\Anaconda\envs\tf2\lib\site-packages\traitlets\config\application.py", line 87, in inner
return method(app, *args, **kwargs)
File "D:\Anaconda\envs\tf2\lib\site-packages\ipykernel\kernelapp.py", line 625, in initialize
self.write_connection_file()
File "D:\Anaconda\envs\tf2\lib\site-packages\ipykernel\kernelapp.py", line 236, in write_connection_file
iopub_port=self.iopub_port, control_port=self.control_port)
File "D:\Anaconda\envs\tf2\lib\site-packages\jupyter_client\connect.py", line 136, in write_connection_file
with secure_write(fname) as f:
File "D:\Anaconda\envs\tf2\lib\contextlib.py", line 112, in __enter__
return next(self.gen)
File "D:\Anaconda\envs\tf2\lib\site-packages\jupyter_core\paths.py", line 461, in secure_write
win32_restrict_file_to_user(fname)
File "D:\Anaconda\envs\tf2\lib\site-packages\jupyter_core\paths.py", line 387, in win32_restrict_file_to_user
import win32api
ImportError: DLL load failed: 找不到指定的程序。
[I 16:31:42.557 NotebookApp] KernelRestarter: restarting kernel (1/5), new random ports
[IPKernelApp] ERROR | Failed to load connection file: 'C:\\Users\\YJF\\AppData\\Roaming\\jupyter\\runtime\\kernel-edcd3c8f-6a6b-4512-a376-4a71c0a0b1d5.json'
Traceback (most recent call last):
File "D:\Anaconda\envs\tf2\lib\site-packages\ipykernel\kernelapp.py", line 261, in init_connection_file
self.load_connection_file()
File "D:\Anaconda\envs\tf2\lib\site-packages\jupyter_client\connect.py", line 494, in load_connection_file
info = json.load(f)
File "D:\Anaconda\envs\tf2\lib\json\__init__.py", line 296, in load
parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
File "D:\Anaconda\envs\tf2\lib\json\__init__.py", line 348, in loads
return _default_decoder.decode(s)
File "D:\Anaconda\envs\tf2\lib\json\decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "D:\Anaconda\envs\tf2\lib\json\decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
[I 16:31:45.568 NotebookApp] KernelRestarter: restarting kernel (2/5), new random ports
[IPKernelApp] ERROR | Failed to load connection file: 'C:\\Users\\YJF\\AppData\\Roaming\\jupyter\\runtime\\kernel-edcd3c8f-6a6b-4512-a376-4a71c0a0b1d5.json'
Traceback (most recent call last):
File "D:\Anaconda\envs\tf2\lib\site-packages\ipykernel\kernelapp.py", line 261, in init_connection_file
self.load_connection_file()
File "D:\Anaconda\envs\tf2\lib\site-packages\jupyter_client\connect.py", line 494, in load_connection_file
info = json.load(f)
File "D:\Anaconda\envs\tf2\lib\json\__init__.py", line 296, in load
parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
File "D:\Anaconda\envs\tf2\lib\json\__init__.py", line 348, in loads
return _default_decoder.decode(s)
File "D:\Anaconda\envs\tf2\lib\json\decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "D:\Anaconda\envs\tf2\lib\json\decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
[I 16:31:48.584 NotebookApp] KernelRestarter: restarting kernel (3/5), new random ports
[IPKernelApp] ERROR | Failed to load connection file: 'C:\\Users\\YJF\\AppData\\Roaming\\jupyter\\runtime\\kernel-edcd3c8f-6a6b-4512-a376-4a71c0a0b1d5.json'
Traceback (most recent call last):
File "D:\Anaconda\envs\tf2\lib\site-packages\ipykernel\kernelapp.py", line 261, in init_connection_file
self.load_connection_file()
File "D:\Anaconda\envs\tf2\lib\site-packages\jupyter_client\connect.py", line 494, in load_connection_file
info = json.load(f)
File "D:\Anaconda\envs\tf2\lib\json\__init__.py", line 296, in load
parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
File "D:\Anaconda\envs\tf2\lib\json\__init__.py", line 348, in loads
return _default_decoder.decode(s)
File "D:\Anaconda\envs\tf2\lib\json\decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "D:\Anaconda\envs\tf2\lib\json\decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
[I 16:31:51.595 NotebookApp] KernelRestarter: restarting kernel (4/5), new random ports
[IPKernelApp] ERROR | Failed to load connection file: 'C:\\Users\\YJF\\AppData\\Roaming\\jupyter\\runtime\\kernel-edcd3c8f-6a6b-4512-a376-4a71c0a0b1d5.json'
Traceback (most recent call last):
File "D:\Anaconda\envs\tf2\lib\site-packages\ipykernel\kernelapp.py", line 261, in init_connection_file
self.load_connection_file()
File "D:\Anaconda\envs\tf2\lib\site-packages\jupyter_client\connect.py", line 494, in load_connection_file
info = json.load(f)
File "D:\Anaconda\envs\tf2\lib\json\__init__.py", line 296, in load
parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
File "D:\Anaconda\envs\tf2\lib\json\__init__.py", line 348, in loads
return _default_decoder.decode(s)
File "D:\Anaconda\envs\tf2\lib\json\decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "D:\Anaconda\envs\tf2\lib\json\decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
[W 16:31:54.603 NotebookApp] KernelRestarter: restart failed
[W 16:31:54.603 NotebookApp] Kernel edcd3c8f-6a6b-4512-a376-4a71c0a0b1d5 died, removing from map.
[W 16:32:22.967 NotebookApp] Config option `template_path` not recognized by `ExporterCollapsibleHeadings`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:22.977 NotebookApp] Config option `template_path` not recognized by `ExporterCollapsibleHeadings`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.024 NotebookApp] Config option `template_path` not recognized by `TocExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.031 NotebookApp] Config option `template_path` not recognized by `TocExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.052 NotebookApp] Config option `template_path` not recognized by `LenvsHTMLExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.062 NotebookApp] Config option `template_path` not recognized by `LenvsHTMLExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.088 NotebookApp] Config option `template_path` not recognized by `LenvsTocHTMLExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.098 NotebookApp] Config option `template_path` not recognized by `LenvsTocHTMLExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.151 NotebookApp] Config option `template_path` not recognized by `LenvsLatexExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.157 NotebookApp] Config option `template_path` not recognized by `LenvsLatexExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.380 NotebookApp] Config option `template_path` not recognized by `LenvsSlidesExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.388 NotebookApp] Config option `template_path` not recognized by `LenvsSlidesExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.515 NotebookApp] Config option `template_path` not recognized by `ExporterCollapsibleHeadings`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.523 NotebookApp] Config option `template_path` not recognized by `ExporterCollapsibleHeadings`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.570 NotebookApp] Config option `template_path` not recognized by `TocExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.577 NotebookApp] Config option `template_path` not recognized by `TocExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.598 NotebookApp] Config option `template_path` not recognized by `LenvsHTMLExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.609 NotebookApp] Config option `template_path` not recognized by `LenvsHTMLExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.633 NotebookApp] Config option `template_path` not recognized by `LenvsTocHTMLExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.643 NotebookApp] Config option `template_path` not recognized by `LenvsTocHTMLExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.694 NotebookApp] Config option `template_path` not recognized by `LenvsLatexExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.700 NotebookApp] Config option `template_path` not recognized by `LenvsLatexExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.921 NotebookApp] Config option `template_path` not recognized by `LenvsSlidesExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
[W 16:32:23.928 NotebookApp] Config option `template_path` not recognized by `LenvsSlidesExporter`. Did you mean one of: `extra_template_paths, template_name, template_paths`?
Error reporting reason
import win32api
ImportError: DLL load failed: The specified program could not be found.
This is caused by the incompatibility between the python version and the pywin32 version.
Solution:
Reinstall the latest version of pywin32 = = 301 in the TF2 environment with CONDA error. Solution: CONDA install pywin32 = = 301
Use CONDA update CONDA to update CONDA. If you encounter a packagenotinstallederror problem, record it here!
Problem description
conda update –prefix /Users/omeiko/opt/miniconda3 anaconda
PackageNotInstalledError: Package is not installed in prefix.
prefix: /Users/omeiko/opt/miniconda3
package name: anaconda
When you run CONDA update, you will be prompted whether you want to run CONDA update — prefix/users/omeiko/opt/minicanda3 anaconda. After running, the above error prompt will be displayed
the reason for the problem is that you installed miniconda instead of anaconda.
Solution:
Method 1
execute CONDA install anaconda, install anaconda, and then run again.
Method 2
execute CONDA update — prefix/users/omeiko/opt/miniconda3 CONDA. There is no need to update anaconda
or execute CONDA update — name base CONDA (I solved it myself with this command) to update the base command
After MAC reinstalls anaconda, it is found that each time terminal is opened, anconda’s environment is started by default. However, I don’t want to use anconda’s environment by default, as shown in the following figure.
The closing method is as follows
Method 1:
Every time you exit the base environment through CONDA deactivate on the command line, return to the automatic environment of the system
Method 2
1. By setting Auto_ activate_ Set the base parameter to false to implement:
conda config --set auto_activate_base false
2. If you want to enter, you can use CONDA activate base
3. If you go back and hope to keep it all the time, pass
conda config --set auto_activate_base true
recovery
Error in installing pyqt5 on Ubuntu 18.04:
command “Python setup.py egg”_ info” failed with error code 1 in /tmp/pip-build-92ggdywh/PyQt5/
As a result, the version of PIP is too low. The default system version is pip9, so we need to update the PIP version
the update method is as follows:
python3 -m pip install --upgrade pip
Because most of the time, we install python, or apt install Python directly, resulting in the installation of python2.7. If you just want to use a version of python, such as python3, you can uninstall python2. It’s better to uninstall to avoid conflicts.
Some people on the Internet recommend changing the content of the. Condar file, but I failed
Some people may recommend re installing anaconda, but that would be too cumbersome
CONDA update CONDA the problem can be solved immediately by updating the CONDA version
Project scenario:
under Windows environment, python 3.6, the versions of each CONDA package are as follows 0
\# Name Version Build Channel
absl-py 0.13.0 <pip>
astor 0.8.1 <pip>
cached-property 1.5.2 <pip>
certifi 2021.5.30 py36ha15d459_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
cycler 0.10.0 <pip>
dataclasses 0.8 <pip>
gast 0.2.2 <pip>
google-pasta 0.2.0 <pip>
grpcio 1.38.1 <pip>
h5py 3.1.0 <pip>
importlib-metadata 4.6.0 <pip>
joblib 1.0.1 <pip>
Keras 2.3.1 <pip>
Keras-Applications 1.0.8 <pip>
Keras-Preprocessing 1.1.2 <pip>
kiwisolver 1.3.1 <pip>
Markdown 3.3.4 <pip>
matplotlib 3.3.4 <pip>
numpy 1.19.5 <pip>
opt-einsum 3.3.0 <pip>
pandas 1.1.5 <pip>
Pillow 8.2.0 <pip>
pip 21.1.3 pyhd8ed1ab_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
protobuf 3.17.3 <pip>
pyparsing 2.4.7 <pip>
python 3.6.13 h39d44d4_0_cpython https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
python-dateutil 2.8.1 <pip>
python_abi 3.6 2_cp36m https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pytz 2021.1 <pip>
PyYAML 5.4.1 <pip>
scikit-learn 0.24.2 <pip>
scipy 1.5.4 <pip>
seaborn 0.11.1 <pip>
setuptools 49.6.0 py36ha15d459_3 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
six 1.16.0 <pip>
sklearn 0.0 <pip>
tensorboard 1.15.0 <pip>
tensorflow 1.15.0 <pip>
tensorflow-estimator 1.15.1 <pip>
termcolor 1.1.0 <pip>
threadpoolctl 2.1.0 <pip>
typing-extensions 3.10.0.0 <pip>
ucrt 10.0.20348.0 h57928b3_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
vc 14.2 hb210afc_5 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
vs2015_runtime 14.29.30037 h902a5da_5 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
Werkzeug 2.0.1 <pip>
wheel 0.36.2 pyhd3deb0d_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wincertstore 0.2 py36ha15d459_1006 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wrapt 1.12.1 <pip>
zipp 3.4.1 <pip>
Problem Description:
it seems that the version of the library that has been adjusted for a long time has finally run through a LSTM demo, but if you want to open a new test file for testing, the following problems appear
Solution:
the solution to stackoverflow is to use the current keras library and tensorflow Library of unitall, because the higher version of keras library may be used, but the running code is of lower version. Note that you need to install tensorflow before installing keras
The specific steps of stackoverflow with the most likes are as follows:
delete tenorflow delete tenorflow
pip uninstall tensorflow
Update PIP version
pip install --upgrade pip
install keras
pip install Keras
install tensorflow
pip install tensorflow
Apart from this method, I want to say that my final solution is: I found the import statement of the keras library
from keras.models import Sequential
from keras.layers import LSTM, Dense, Activation
Cannot appear in two. Py files!!! Even if you just don’t use import, you will still report this error. It’s too bad. I found this problem after reloading it, so when testing the code, you should either create a new project or write the import statement in a file.
Record a strange little problem.
In order to complete the emotional dialogue project arranged by my tutor, I found a model from GitHub, and then configured the environment python2.7 + tensorflow1.13.1 on the server according to readme. At the beginning of training, I found that the training speed was very slow. After checking, I found that I didn’t use the GPU version of tensorflow, so I changed it to tensorflow-gpu1.13.1.
Import error: libcublas. So. 10.0: cannot open shared object file: no such file or directory
Very common old problem, CUDA is not installed or environment variables are not configured. I didn’t add CUDA to the environment variable here, because it’s a server in the school laboratory. It doesn’t have sudo permission and can’t modify the environment variable of the system, so I can only add the environment variable I need with the export command every time I start the terminal. For convenience, all the environment variables that need to be exported are recorded in a file. You only need the file source each time.
After the source is completed, a strange problem appears. I output Python 3.8.5 with Python command in CONDA environment, and the python version of the environment shown in CONDA list is 2.7, as shown in the figure below. Clearly is the environment of Python 2.7, why use the python command to prompt that the current version is Python 3.8.5?I try to import tensorflow. It also prompts no module named tensorflow, which means that although it shows that I am in the dual RL master environment, I am in another environment?
I repeatedly tried to delete the environment, create a new environment, and re install various packages. After many tests, I finally found the problem. When CONDA activate is executed, the target environment will be added to the environment variable of the current system, so when the python command is executed on the command line, the python version in the target environment will be executed. When the export command is executed, the specified environment variable will be added to the system environment variable. When the variable name is repeated, the existing environment variable will be overridden. When I use source to execute files containing many export commands, one of the export commands adds the default Python version of CONDA to the environment variables of the system, which covers the python version I activated with CONDA before. Therefore, although my CONDA shows that the python version I used is 2.7, the environment variables of the system have been covered by the export command I used later, The default version of Python is 3.8.5.
I tested again. First add a python version to the environment variable by using export, and then use CONDA activate to activate another version of Python. Using Python on the command line, you will find that the output is the later version of Python. Therefore, you can conclude that the one added after the same variable name in the environment variable will override the existing one.
Although it’s not a big problem, sometimes it’s this kind of energy-saving twig that keeps you from finding mistakes.
Recently, I’m writing the course of financial analysis and prediction in Python. Because I’m lazy, I didn’t match the required Library under CONDA in advance. Using pychar install package directly will lead to some version incompatibility and mismatching due to the installation sequence, which leads to
runtimeerror: implementation_ array_ Function method already has a docstring
error report
mark
I don’t know what I’m writing<
PIP universal pandas
PIP universal mattlotlib
PIP universal Skippy
PIP universal numpy
PIP universal scikit learn
then install
PIP install numpy
PIP install Skippy
PIP install panda
PIP install mattlotlib
pip install scikit learn
in the following order
I found a lot of methods to solve the Chinese garbled code of Matplotlib in Anaconda on the Internet. I feel it is not concise enough. Now let’s make a summary. Two steps, one is to find the font, the other is to set it.
1. Font
The system font file is usually saved in the C:\Windows\Fonts
Open copy any font:
Save it in the TTF folder. Lu Jin’s name is e::’anaconda ‘,’lib’,’site-packages’,’matplotlib ‘,’mpl-data’,’fonts’,’ttf ‘
You can change the file name of Anaconda installed on your computer, and the following path is the same.
So the font is chosen.
2. Setting
Go back to MPL data and open the matplotlibrc file: e:// Anaconda/lib/site packages/Matplotlib/MPL data
Notepad shows about 249 lines, the upper middle part of the file:
Remove the comment in front of font. Family, and then change the following name to the newly copied font name: simhei.
Save with Ctrl + s and reopen the compiler.