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Copy pathplot_histograms copy 2.py
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plot_histograms copy 2.py
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import matplotlib.pyplot as plt
from datetime import datetime
import os
from os import listdir
from os.path import isfile, join
import numpy as np
import pandas as pd
import time
import seaborn as sns
mypath = "Data/00. Old/07. Layers = 1, increasing dim_x and n/"
num_csv = 6
labels_remove = [0]
labels_data = [
"dim_x = 1",
"dim_x = 2",
"dim_x = 3",
"dim_x = 4",
"dim_x = 5",
"dim_x = 6",
"dim_x = 7",
"dim_x = 8",
"dim_x = 9",
"dim_x = 10",
]
# labels_data = [
# "Lp = 1",
# "Lp = 2",
# "Lp = 3",
# "Lp = 4",
# "Lp = 5",
# "Lp = 6",
# "Lp = 7",
# "Lp = 8",
# "Lp = 9",
# "Lp = 10",
# ]
# labels_data = [
# # "Lx=1",
# "Lx=2",
# "Lx=3",
# "Lx=4",
# "Lx=5",
# "Lx=6",
# "Lx=7",
# "Lx=8",
# "Lx=9",
# "Lx=10",
# ]
# labels_data = [
# "n=2",
# "n=3",
# "n=4",
# "n=5",
# "n=6",
# "n=7",
# "n=8",
# "n=9",
# "n=10",
# "n=11",
# "n=12",
# "n=13",
# "n=14",
# ]
csv_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]
# csv_names = [f for i, f in enumerate(csv_names) if i not in labels_remove]
# labels_data = [l for i, l in enumerate(labels_data) if i not in labels_remove]
abs_max_inf = 0
abs_max_flat_rkhs = 0
abs_max_flat_rkhs_inf = 0
abs_max_tree_rkhs = 0
abs_max_tree_rkhs_inf = 0
data_inf = {}
data_flat_rkhs = {}
data_flat_rkhs_inf = {}
data_tree_rkhs = {}
data_tree_rkhs_inf = {}
data_flat_rkhs_norm = {} #borrar
abs_max_flat_rkhs_norm = 0 #borrar
for i, csv_name in enumerate(csv_names):
if i%(len(labels_data)//num_csv)==0 and i not in labels_remove:
csv = pd.read_csv(mypath + csv_name)
max = csv.max()
abs_max_inf = max[0] if abs_max_inf < max[0] else abs_max_inf
abs_max_flat_rkhs = max[1] if abs_max_flat_rkhs < max[1] else abs_max_flat_rkhs
abs_max_flat_rkhs_inf = max[2] if abs_max_flat_rkhs_inf < max[2] else abs_max_flat_rkhs_inf
# abs_max_tree_rkhs = max[4] if abs_max_tree_rkhs < max[4] else abs_max_tree_rkhs
# abs_max_tree_rkhs_inf = max[5] if abs_max_tree_rkhs_inf < max[5] else abs_max_tree_rkhs_inf
# abs_max_flat_rkhs_norm = max[4] if abs_max_flat_rkhs_norm < max[4] else abs_max_flat_rkhs_norm #borrar
data_inf[labels_data[i]] = list(csv["Inf. Norm"])#list(csv["Inf. Norm"])
data_flat_rkhs[labels_data[i]] = list(csv["RKHS norm"])#list(csv["Flat RKHS"])
data_flat_rkhs_inf[labels_data[i]] = list(csv["RKHS/Inf"])#list(csv["FlatRK over norm"])
# data_tree_rkhs[labels_data[i]] = list(csv["Tree RKHS"])
# data_tree_rkhs_inf[labels_data[i]] = list(csv["TreeRK over norm"])
# data_flat_rkhs_norm[labels_data[i]] = list(csv["FlatRK over norm"])#list(csv["FlatRK over norm"]) #borrar
right_limit = [
1.12*abs_max_inf,
1.12*abs_max_flat_rkhs,
1.12*abs_max_flat_rkhs_inf,
# 1.12*abs_max_flat_rkhs_norm,
# 1.12*abs_max_tree_rkhs,
# 1.12*abs_max_tree_rkhs_inf,
]
names = ["Inf. Norm", "Flat RKHS", "RKHS over inf"]#, "FlatRK over norm"]#, "Tree RKHS", "TreeRK over norm"]
data = [pd.DataFrame(data_inf), pd.DataFrame(data_flat_rkhs), pd.DataFrame(data_flat_rkhs_inf)]#, pd.DataFrame(data_flat_rkhs_norm)]#, pd.DataFrame(data_tree_rkhs), pd.DataFrame(data_tree_rkhs_inf)]
for j, (name, d, rl) in enumerate(zip(names, data, right_limit)):
sns.displot(d, kind="kde") #bins=bins, color='blue'
plot_name = f'{name} of {csv_name[46:-4]}'
plt.title(plot_name)
plt.xlabel(name)
plt.xlim(left=0, right=rl)
file_name = f'{datetime.now().strftime("%Y-%m-%d %H-%M-%S")} - {plot_name}'
plt.savefig(os.path.join(os.path.dirname(__file__), f'Plots/plot_histograms/{file_name}.png'), bbox_inches="tight")
# plt.show()
plt.clf()
time.sleep(1)
# if j==1:break