From 3b631a94f81bdb22b93a7731796559d74cf9d5e0 Mon Sep 17 00:00:00 2001 From: Joshua Coles Date: Fri, 17 Mar 2023 21:49:53 +0000 Subject: [PATCH] Refactor code --- {notebooks => graphs}/nc-fd-convergence.py | 2 +- {notebooks => graphs}/rmax-n.py | 4 ++-- {notebooks => graphs}/sp-fd-3d.py | 2 +- {notebooks => graphs}/sp-fd-rust-vs-c.py | 3 +-- {notebooks => graphs}/sp-fd.py | 2 +- {notebooks => lib}/graphs.py | 2 +- {notebooks => lib}/lib.py | 0 notebooks/3d.ipynb | 2 +- 8 files changed, 8 insertions(+), 9 deletions(-) rename {notebooks => graphs}/nc-fd-convergence.py (96%) rename {notebooks => graphs}/rmax-n.py (73%) rename {notebooks => graphs}/sp-fd-3d.py (89%) rename {notebooks => graphs}/sp-fd-rust-vs-c.py (93%) rename {notebooks => graphs}/sp-fd.py (90%) rename {notebooks => lib}/graphs.py (94%) rename {notebooks => lib}/lib.py (100%) diff --git a/notebooks/nc-fd-convergence.py b/graphs/nc-fd-convergence.py similarity index 96% rename from notebooks/nc-fd-convergence.py rename to graphs/nc-fd-convergence.py index 742cd4e..e41ac07 100644 --- a/notebooks/nc-fd-convergence.py +++ b/graphs/nc-fd-convergence.py @@ -1,6 +1,6 @@ import numpy as np import matplotlib.pyplot as plt -from notebooks.lib import read_load +from lib.lib import read_load alpha = read_load("../data/alpha") meaned_by_N = alpha.groupby('N').agg({'fd': ['mean', 'std']}) \ diff --git a/notebooks/rmax-n.py b/graphs/rmax-n.py similarity index 73% rename from notebooks/rmax-n.py rename to graphs/rmax-n.py index e3f21d2..1183385 100644 --- a/notebooks/rmax-n.py +++ b/graphs/rmax-n.py @@ -1,7 +1,7 @@ import matplotlib.pyplot as plt -from notebooks.graphs import cr_n -from notebooks.lib import read_load +from lib.graphs import cr_n +from lib.lib import read_load alpha = read_load("../data/alpha") diff --git a/notebooks/sp-fd-3d.py b/graphs/sp-fd-3d.py similarity index 89% rename from notebooks/sp-fd-3d.py rename to graphs/sp-fd-3d.py index f4fa84d..d2eb6d4 100644 --- a/notebooks/sp-fd-3d.py +++ b/graphs/sp-fd-3d.py @@ -1,6 +1,6 @@ from matplotlib import pyplot as plt -from notebooks.lib import read_sp, read_xyz_alt, aggregate_sp_fd +from lib.lib import read_sp, read_xyz_alt, aggregate_sp_fd data_3d_sp = read_sp("../data/rust-3d-offaxis-sp", read_xyz_alt) sp_fd_data = aggregate_sp_fd(data_3d_sp) diff --git a/notebooks/sp-fd-rust-vs-c.py b/graphs/sp-fd-rust-vs-c.py similarity index 93% rename from notebooks/sp-fd-rust-vs-c.py rename to graphs/sp-fd-rust-vs-c.py index 8cfa92c..150e061 100644 --- a/notebooks/sp-fd-rust-vs-c.py +++ b/graphs/sp-fd-rust-vs-c.py @@ -1,7 +1,6 @@ -import numpy as np from matplotlib import pyplot as plt -from notebooks.lib import read_sp, aggregate_sp_fd +from lib.lib import read_sp, aggregate_sp_fd c_sp = read_sp("../data/stick-probability") rust_sp = read_sp("../data/rust-sticking-probability") diff --git a/notebooks/sp-fd.py b/graphs/sp-fd.py similarity index 90% rename from notebooks/sp-fd.py rename to graphs/sp-fd.py index 4750318..b7337d9 100644 --- a/notebooks/sp-fd.py +++ b/graphs/sp-fd.py @@ -1,6 +1,6 @@ from matplotlib import pyplot as plt -from notebooks.lib import read_sp, aggregate_sp_fd +from lib.lib import read_sp, aggregate_sp_fd data_2d_sp = read_sp("../data/stick-probability") sp_fd_data = aggregate_sp_fd(data_2d_sp) diff --git a/notebooks/graphs.py b/lib/graphs.py similarity index 94% rename from notebooks/graphs.py rename to lib/graphs.py index c90104b..af2b3a8 100644 --- a/notebooks/graphs.py +++ b/lib/graphs.py @@ -2,7 +2,7 @@ import numpy as np import scipy from matplotlib import pyplot as plt -from notebooks.lib import linear +from lib.lib import linear def cr_n(df, ignore_prefix=0, data_color="tab:blue", fit_color="tab:red"): diff --git a/notebooks/lib.py b/lib/lib.py similarity index 100% rename from notebooks/lib.py rename to lib/lib.py diff --git a/notebooks/3d.ipynb b/notebooks/3d.ipynb index 562318b..b979b48 100644 --- a/notebooks/3d.ipynb +++ b/notebooks/3d.ipynb @@ -13,7 +13,7 @@ "import matplotlib.pyplot as plt\n", "import scipy\n", "from glob import glob\n", - "from notebooks.lib import read_xyz_alt, read_load, linear, mean_across" + "from lib.lib import read_xyz_alt, read_load, linear, mean_across" ] }, {