Jupyter Notebook kernel switching problem

I have made two new environments using conda and installed different dependencies in both environment.After activating one environment and opening jupyter notebook in that environment , i tried to import dependencies that i have installed for that environment but it showed me an error that this module is not present, after this i installed a jupyter notebook separately in that environment using "pip install jupyter notebook" and error removed this time in that jupyter notebook. Also when i imported matplotlib in base environment it was imported but in new env it was showing no module error.Does it mean that whenever i have more than one environment , i have to install new jupyter notebook in every environment? Please help me out for this issue . I have wasted my 10 to 15 days understanding this but i didn't find anything.

No source file, test, or entry point is mentioned. Start by reproducing the behavior with two conda environments and compare the selected Jupyter kernels and installed dependencies; done means establishing the supported setup and documenting why imports differ between environments.

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