Project.toml

[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
ColorSchemes = "35d6a980-a343-548e-a6ea-1d62b119f2f4"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
IndividualDisplacements = "b92f0c32-5b7e-11e9-1d7b-238b2da8b0e6"
MITgcmTools = "62725fbc-3a66-4df3-9000-e33e85b3a198"
MeshArrays = "cb8c808f-1acf-59a3-9d2b-6e38d009f683"
NCDatasets = "85f8d34a-cbdd-5861-8df4-14fed0d494ab"
OceanColorData = "39357346-8f20-4302-be7b-c20dcd116b7a"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Pandas = "eadc2687-ae89-51f9-a5d9-86b5a6373a9c"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"

[compat]
julia = "1.1"