1. Scenario: install the lower version of pytorch1.2, and prompt this error after installation
2. The reason is that Python is not up-to-date, but numpy is up-to-date, so reduce the version of numpy
3. Execute CONDA install – C CONDA forge numpy = 1.16
4. Problem solving.
Solution: Add path to solve successfully
import sys
#print(sys.path)
#sys.path[0]=‘E:\pywork\python_module_demo\filefolder2’
sys.path.insert(0,‘E:\pywork\python_module_demo’)
Problem description
Today, when running a GitHub code two years ago, an error was reported:
from scipy.misc import imsave
ImportError: cannot import name 'imsave'But after checking, I found that I have installed the SciPy module. When checking the internal function module of SciPy, I found that there are no functions such as imsave
import scipy.misc
print(dir(scipy.misc))After searching, it is found that the reason is the SciPy version: after SciPy 1.3, functions such as SciPy. Misc. Imread/imsave will be discarded.
resolvent
To re install the previous version of SciPy, first log in to the official website of SciPy and find the corresponding WHL file. As the python environment of this machine is Ubuntu + python = 3.6.9, download the third corresponding file:
Then uninstall the previous SciPy and install the file
# uninstal scipy
pip uninstall scipy
# install
pip install scipy-1.2.0-cp36-cp36m-manylinux1_x86_64.whlCheck the SciPy internal function again
You can see that there are functions like imread, imsave, imshow, etc
When collecting Asian faces for model validation, run the following code:
python validate_on_lfw.py ../data/AsiaStar_160 ../20180402-114759 --lfw_pairs ../data/pairs_AsiaStar.txtThe error is as follows:
AssertionError: The number of LFW images must be an integer multiple of the LFW batch sizeThe number of pictures must be an integral multiple of the batch size. Batch size is 100, so the number of pictures must be an integral multiple of 100. In generating pairs. TXT, there must be 100 times of sample pairs.
Exception:
Traceback (most recent call last):
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/site-packages/pip/basecommand.py”, line 215, in main
status = self.run(options, args)
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/site-packages/pip/commands/list.py”, line 157, in run
packages = self.get_outdated(packages, options)
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/site-packages/pip/commands/list.py”, line 168, in get_outdated
dist for dist in self.iter_packages_latest_infos(packages, options)
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/site-packages/pip/commands/list.py”, line 168, in
dist for dist in self.iter_packages_latest_infos(packages, options)
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/site-packages/pip/commands/list.py”, line 197, in iter_packages_latest_infos
with self._build_session(options) as session:
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/site-packages/pip/basecommand.py”, line 69, in _build_session
if options.cache_dir else None
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/posixpath.py”, line 78, in join
a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not int
Traceback (most recent call last):
File “/home/yu/anaconda3/envs/TRTC/bin/pip”, line 6, in
sys.exit(pip.main())
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/site-packages/pip/init.py”, line 249, in main
return command.main(cmd_args)
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/site-packages/pip/basecommand.py”, line 251, in main
timeout=min(5, options.timeout)) as session:
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/site-packages/pip/basecommand.py”, line 69, in _build_session
if options.cache_dir else None
File “/home/yu/anaconda3/envs/TRTC/lib/python3.6/posixpath.py”, line 78, in join
a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not int
Solution: (you can replace python with python3)
curl https://bootstrap.pypa.io/get-pip.py | python –
Guess the reason for the error is: setuptools and pip versions do not correspond, so upgrade the pip will be fine.
Create a new readme.rst to replace the readme.rst file in xadmin
Then install xadmin through the local package
pip install xadmin-xxx.zip
Error occurred while running tensorflow:
AttributeError: module 'tensorflow' has no attribute 'InteractiveSession'This is not the first mock exam error in the package, because the module Session has been removed in the new Tensorflow 2 version, and the code is changed to:
sess = tf.InteractiveSession()Replace with:
sess = tf.compat.v1.InteractiveSession()Similarly, if there are similar “TF. * *” codes in the code, you should add “compat. V1.” after them.
If you are not used to it, you can reduce the version of tensorflow
pip install tensorflow==1.14Error content
Fatal error in launcher: Unable to create process using '"e:\program
files\programdata\python3.9\python.exe" "E:\Program Files\ProgramData
\Python39\Scripts\pip.exe" ': ???????????
Solution
python -m pip install --upgrade pip
Problem solving
there is a problem with PIP. Updating PIP through Python will delete the wrong PIP and install the updated pip
When I want to convert a column of dates in the data frame into the date format of panda, I encountered this kind of error.
reader = pd.read_csv(f'new_files/2020-12-22-5-10.csv', usecols=['passCarTime'],dtype={'passCarTime':'string'})
pd.to_datetime(reader.passCarTime.head())
Out[98]:
0 2020-12-22 10:00:00
1 2020-12-22 10:00:00
2 2020-12-22 10:00:00
3 2020-12-22 10:00:00
4 2020-12-22 10:00:00
Name: passCarTime, dtype: datetime64[ns]
pd.to_datetime(reader.passCarTime)
Traceback (most recent call last):
File "D:\PyCharm2020\python2020\lib\site-packages\pandas\core\arrays\datetimes.py", line 2085, in objects_to_datetime64ns
values, tz_parsed = conversion.datetime_to_datetime64(data)
File "pandas\_libs\tslibs\conversion.pyx", line 350, in pandas._libs.tslibs.conversion.datetime_to_datetime64
TypeError: Unrecognized value type: <class 'str'>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\PyCharm2020\python2020\lib\site-packages\IPython\core\interactiveshell.py", line 3427, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-99-e1b00dc18517>", line 1, in <module>
pd.to_datetime(reader.passCarTime)
File "D:\PyCharm2020\python2020\lib\site-packages\pandas\core\tools\datetimes.py", line 801, in to_datetime
cache_array = _maybe_cache(arg, format, cache, convert_listlike)
File "D:\PyCharm2020\python2020\lib\site-packages\pandas\core\tools\datetimes.py", line 178, in _maybe_cache
cache_dates = convert_listlike(unique_dates, format)
File "D:\PyCharm2020\python2020\lib\site-packages\pandas\core\tools\datetimes.py", line 465, in _convert_listlike_datetimes
result, tz_parsed = objects_to_datetime64ns(
File "D:\PyCharm2020\python2020\lib\site-packages\pandas\core\arrays\datetimes.py", line 2090, in objects_to_datetime64ns
raise e
File "D:\PyCharm2020\python2020\lib\site-packages\pandas\core\arrays\datetimes.py", line 2075, in objects_to_datetime64ns
result, tz_parsed = tslib.array_to_datetime(
File "pandas\_libs\tslib.pyx", line 364, in pandas._libs.tslib.array_to_datetime
File "pandas\_libs\tslib.pyx", line 591, in pandas._libs.tslib.array_to_datetime
File "pandas\_libs\tslib.pyx", line 726, in pandas._libs.tslib.array_to_datetime_object
File "pandas\_libs\tslib.pyx", line 717, in pandas._libs.tslib.array_to_datetime_object
File "pandas\_libs\tslibs\parsing.pyx", line 243, in pandas._libs.tslibs.parsing.parse_datetime_string
File "D:\PyCharm2020\python2020\lib\site-packages\dateutil\parser\_parser.py", line 1374, in parse
return DEFAULTPARSER.parse(timestr, **kwargs)
File "D:\PyCharm2020\python2020\lib\site-packages\dateutil\parser\_parser.py", line 649, in parse
raise ParserError("Unknown string format: %s", timestr)
dateutil.parser._parser.ParserError: Unknown string format: passCarTime
I’m not a professional, and my English is not good. I can’t understand what’s wrong. I have seen that there is no missing value in the date column of the file, and there is no date that does not conform to the format… This is very strange, welcome to leave a message, thanks in advance!
Solution
When converting, add a parameter errors ='coerce '.
reader = pd.read_csv(f'new_files/2020-12-22-5-10.csv', usecols=['passCarTime'],dtype={'passCarTime':'string'})
reader.passCarTime = pd.to_datetime(reader.passCarTime,errors='coerce')
reader.passCarTime.head()
Out[120]:
0 2020-12-22 10:00:00
1 2020-12-22 10:00:00
2 2020-12-22 10:00:00
3 2020-12-22 10:00:00
4 2020-12-22 10:00:00
Name: passCarTime, dtype: datetime64[ns]
reader.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 307707 entries, 0 to 307706
Data columns (total 1 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 passCarTime 307703 non-null datetime64[ns]
dtypes: datetime64[ns](1)
memory usage: 2.3 MB
Solution
Read the configuration file in another way
original code: CF = configparser. Configparser ()
Replace with:
CF = configparser. Rawconfigparser ()
Write to DICOM file
import numpy as np
import matplotlib.pyplot as plt
import pydicom
import sys
def InitDicomFile():
infometa = pydicom.dataset.Dataset()
infometa.TransferSyntaxUID = pydicom.uid.ImplicitVRLittleEndian
infometa.ImplementationVersionName = 'Python ' + sys.version
infometa.MediaStorageSOPClassUID = 'CT Image Storage'
infometa.FileMetaInformationVersion = b'\x00\x01'
return infometa
filename = r'E:\34.dcm'
# ds = pydicom.dcmread(filename) # Read Tags from dicom image
ds = pydicom.read_file(filename) # Read Tags of the dicom image
info = pydicom.dataset.FileDataset({},ds)
temp = pydicom.dcmread(filename).pixel_array # read in DICOM image and convert to numpy
img = temp.astype('uint16')
info.PixelData = img.tobytes()
infometa = InitDicomFile() # must be initialized otherwise read in will prompt an error
info = pydicom.dataset.FileDataset({},info,is_implicit_VR =True, file_meta=infometa)
# info = pydicom.dataset.FileDataset({},info) # Read without file_meta=infometa will prompt an error
info.save_as(r'M:\result.dcm')
# Verify that the newly stored DICOM can be read in
f = pydicom.dcmread(r'M:\result.dcm',force=True)
plt.imshow(f.pixel_array,'gray')
plt.show()
If there are not the following two lines, reading the stored DICOM file will prompt the following error:
infometa = InitDicomFile()
info = pydicom.dataset.FileDataset({},info,is_implicit_VR =True, file_meta=infometa)
AttributeError: ‘FileMetaDataset’ object has no attribute ‘TransferSyntaxUID’
1. The system configuration is: windows10 + python3.6 + anaconda3 + swig4.0.2. Swig needs to add environment variables to the system environment manually.
2. According to the official readme file, execute the command [swig – C + + – Python polyiou. I], basically no problem.
3. When executing the command [Python setup. Py build]_ The error [if self. LD] appears when “ext — inplace”_ version >= ” 2.10.90″: TypeError: ‘>=’ not supported between instances of ‘NoneType’ and ‘str’】。 In the python installation path of the virtual environment, find the file of lib distutils distutils.cfg, open it and find the following content: [build] compiler = mingw32, the content of the file is correct.
4. Solution: after exploration and research, we need to configure GCC, install mingw-w64 compiler, command is [CONDA install libpython m2w64 toolchain – C msys2], and then execute the command [Python setup. Py build]_ Ext — inplace], run successfully, and you will find that the_ polyiou.cp36-win_ Amd64.pyd file.