conda | binary package and environment manager

Since both columns are pandas Timestamp, you can do this:

I think when you are using the conda environment. The conda list is going to show all the general packages that shared by the same conda environment. And the reason why 'tensorflow-gpu' is listed in 'pip freeze', but not in 'conda list', is because you used pip install to installed 'tensorflow-gpu'(could be you or the IDE). In this case, 'tensorflow-gpu' is only exists under this python project I believe. Actually, there is an official document about this topic.

Issues may arise when using pip and conda together. When combining conda and pip, it is best to use an isolated conda environment. Only after conda has been used to install as many packages as possible should pip be used to install any remaining software. If modifications are needed to the environment, it is best to create a new environment rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files.

Use pip only after conda Install as many requirements as possible with conda then use pip.

Pip should be run with --upgrade-strategy only-if-needed (the default).

Do not use pip with the --user argument, avoid all users installs.

And here is the link.

This problem is explained here. The solution is to install a newer version of sompy:

I ran into the same problem and noticed that pdftotext wasn't listed in conda list. As it turned out, simply running pip install pdftotext inside a new environment installs pdftotext as a system-wide package, but not as a specific package for your current conda enviroment.

I fixed this problem by installing pip into my conda environment using the following command:

conda install pip

After that, I ran pip install pdftotext==2.1.4 (as the 2.1.5 version didn't work for me). Lastly, I checked conda list to verify the installation.

First, quit all running Python sessions. Then, go into the c:\users\bla\anaconda3\envs\tensorflow\lib\site-packages folder and delete any files or folders that start with pandas or ~andas, regardless of capitalization. Exit your virtualenv (don't delete it, just deactivate it), then enter/activate it again and run pip install pandas. This should fix the issues you're seeing.

Replace python==X with python=X (where X is the version) and for the version from 2.7.12 to 2.7

conda create --name tst python=2.7

For non-local URIs, MLflow uses the Python's tempfile.mkdtemp function (source code), that creates the temporary directory. You may have some control over it by setting the TMPDIR environment variable as described in Python docs (it lists TMP & TEMP as well, but they didn't work for me on MacOS) - but it will set only "base path" for temporary directories and files, the directory/file names are still will be random.

Re-login and try:

Do you have two Python versions installed on your machine?

The error says it could not find the module, maybe it was installed in another version. If that is the case, try to open your python folder where conda.exe is located and run directly especifying that conda file.