Refactor code

This commit is contained in:
2023-03-17 21:49:53 +00:00
parent 1b00fb5253
commit 3b631a94f8
8 changed files with 8 additions and 9 deletions
+36
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import numpy as np
import matplotlib.pyplot as plt
from lib.lib import read_load
alpha = read_load("../data/alpha")
meaned_by_N = alpha.groupby('N').agg({'fd': ['mean', 'std']}) \
.reset_index() \
.replace([np.inf, -np.inf], np.nan)
without_prefix = meaned_by_N[50:]
fig, ax = plt.subplots(figsize=(6, 6))
plt.fill_between(
without_prefix.N,
# TODO Check error math here
(without_prefix['fd']['mean'] - without_prefix['fd']['std'] / np.sqrt(20)),
(without_prefix['fd']['mean'] + without_prefix['fd']['std'] / np.sqrt(20)),
alpha=0.2, label=f"Standard error band"
)
plt.plot(
without_prefix.N,
without_prefix['fd']['mean'],
color='tab:blue', label='fd mean, seeds = 20'
)
plt.plot([50, 10000], [1.71, 1.71], color='red', label='Theory')
plt.fill_between(without_prefix.N, 1.71 - 0.01, 1.71 + 0.01, alpha=0.2, label='Theory error band')
plt.xlabel("$N_C$")
plt.ylabel("$fd$ (instantaneous)")
plt.legend()
plt.savefig('../figures/nc-fd-convergence.svg')
plt.savefig('../figures/nc-fd-convergence.png')
plt.show()
+15
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import matplotlib.pyplot as plt
from lib.graphs import cr_n
from lib.lib import read_load
alpha = read_load("../data/alpha")
cr_n(
alpha,
ignore_prefix=50
)
plt.savefig('../figures/rmax-n.svg')
plt.savefig('../figures/rmax-n.png')
plt.show()
+18
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from matplotlib import pyplot as plt
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)
# %%
plt.fill_between(sp_fd_data.index, sp_fd_data.fd - sp_fd_data.fd_std, sp_fd_data.fd + sp_fd_data.fd_std, alpha=0.2, label=f"Standard error band")
plt.plot(sp_fd_data.index, sp_fd_data.fd, color='tab:blue', label='fd mean, seeds = 100')
plt.xlabel("$p_{stick}$")
plt.ylabel("$fd$")
plt.legend()
plt.savefig('../figures/sp-fd-3d.svg')
plt.savefig('../figures/sp-fd-3d.png')
plt.show()
+52
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from matplotlib import pyplot as plt
from lib.lib import read_sp, aggregate_sp_fd
c_sp = read_sp("../data/stick-probability")
rust_sp = read_sp("../data/rust-sticking-probability")
# %%
c_data = aggregate_sp_fd(c_sp)
rust_data = aggregate_sp_fd(rust_sp)
# %%
# plt.fill_between(
# c_data.index,
# c_data.fd - c_data.fd_std,
# c_data.fd + c_data.fd_std,
# alpha=0.2,
# color='tab:blue',
# label=f"IPC + PS, Standard error band"
# )
plt.plot(
c_data.index,
c_data.fd,
color='tab:blue',
label='IPC + PS, fd mean, seeds = 100'
)
# plt.fill_between(
# rust_data.index,
# rust_data.fd - rust_data.fd_std,
# rust_data.fd + rust_data.fd_std,
# alpha=0.2,
# color='tab:orange',
# label=f"NF, Standard error band"
# )
plt.plot(
rust_data.index,
rust_data.fd,
color='tab:orange',
label='NF, fd mean, seeds = 100'
)
plt.xlabel("$p_{stick}$")
plt.ylabel("$fd$")
plt.legend()
plt.savefig('../figures/sp-fd-rust-vs-c.svg')
plt.savefig('../figures/sp-fd-rust-vs-c.png')
plt.show()
+18
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from matplotlib import pyplot as plt
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)
# %%
plt.fill_between(sp_fd_data.index, sp_fd_data.fd - sp_fd_data.fd_std, sp_fd_data.fd + sp_fd_data.fd_std, alpha=0.2, label=f"Standard error band")
plt.plot(sp_fd_data.index, sp_fd_data.fd, color='tab:blue', label='fd mean, seeds = 100')
plt.xlabel("$p_{stick}$")
plt.ylabel("$fd$")
plt.legend()
plt.savefig('../figures/sp-fd.svg')
plt.savefig('../figures/sp-fd.png')
plt.show()