# This is the yml file that creates the conda environment for Physical Oversampling in python
# First, it is recommended to update your conda with "conda update -n base -c defaults conda"
# Read through this file, modifiy the prefix, and add/remove dependencies as needed
# Install the environment by "conda env create -f Readme.yml"

name: popy # Feel free to change the environment name
channels:
  - defaults
dependencies:
  - pyyaml
  - netcdf4 # necessary for input/output netcdf data, which is very commonly used
  - h5py # necessary for reading level 2 data in he5/h5 format
  - cartopy # necessary for geospatial plotting
  - opencv # necessary for oversampling instruments with quadrilateral level 2 pixels
  - matplotlib
  - scipy
  - scikit-image # necessary for Level3_Data.block_reduce()
  # optional for shapefile handling (popy.F_label_HMS() so far). Avoid geopandas if you won't use it.
  #- geopandas 
  # optional graphical interface
  #- spyder
# Change prefix to your conda env path  
prefix: C:\Code\anaconda3\envs\popy #my PC
#prefix: /home/ksun/miniconda3/envs/popy #hydra
#prefix: /projects/academic/kangsun/anaconda3/envs/popy #CCR

# if need to download ERA5 data, run "conda install -c conda-forge cdsapi" after the env is created