mliamlib 1.0.7

Various helper functions for python usage

# mlib A library of useful data manipulation, plotting, loading/saving, and other tools for “flatfile”-type time series data.

## Creating the conda environment The subdirectory envs has yaml files for creating a conda environment for running mlib.

### Installing and Updating Anaconda Instructions on installing Anaconda are here: https://docs.anaconda.com/anaconda/install/. Make sure Anaconda’s bin directory is on your path.

If Anaconda is already installed, but is not up to date, you can update it with the following command: `bash $ conda update anaconda `

Assuming you have an up-to-date version of anaconda installed, you can install or update the environments with the commands below.

##### Warning

This library should be used in an environment that has basemap, and netCDF4 installed. An example conda environment is packaged with the project

#### Initial Install `bash $ conda env create -f envs/mlib27-env.yml `

#### Update `bash $ conda env update -f envs/mlib27-env.yml # this is where the update magic happens `

#### Activating an Environment On bash systems, the following command should always activate an environment (assuming that the anaconda/bin directory is on your path): `bash $ source activate mlib27 `

However, the conda command can be used to activate environments as well. This will work on both bash and csh systems, but requires a specific script to be sourced first (e.g. in your .cshrc or .bashrc file). The script is located at …/anaconda/etc/profile.d/. Use the script appropriate for your environment. Then, the command to activate the environment is: `bash $ conda activate mlib27 `