# coding=utf-8
from computar_maximos import conseguir_fp
from read_spice_montecarlo import read_file_spice
import seaborn as sns
import matplotlib.pyplot as plt
data = read_file_spice("montecarlo.txt")
arr = []
for i in range(len(data)):
act = conseguir_fp(data[i], -3)
arr.append(act)
min_v = 1e5
for i in arr:
min_v = min(i, min_v)
fig = sns.distplot(arr, norm_hist=True)
y_vals = fig.get_yticks()
fig.set_yticklabels(
['{:3.0f}%'.format(x * 100 * (24369 - 23169)) for x in y_vals])
plt.xlabel("Frecuencia de corte (Hz)")
plt.ylabel("Casos")
plt.savefig("histograma.png")
# coding=utf-8
from computar_maximos import conseguir_fp
from read_spice_montecarlo import read_file_spice
import seaborn as sns
import matplotlib.pyplot as plt
data = read_file_spice(
"EJ1/Circuito con Legendre/Simulacion/BodeMontecarlo.txt")
arr = []
for i in range(len(data)):
act = conseguir_fp(data[i], -3)
arr.append(act)
min_v = 1e5
for i in arr:
min_v = min(i, min_v)
fig = sns.distplot(arr, norm_hist=True)
y_vals = fig.get_yticks()
fig.set_yticklabels(
['{:3.0f}%'.format(x * 100 * (24369 - 23169)) for x in y_vals])
plt.xlabel("Frecuencia de corte (Hz)")
plt.ylabel("Casos")
# coding=utf-8
from computar_maximos import computar_notch
from read_spice_montecarlo import read_file_spice
from make_histogram import make_histogram
from matplotlib import rc
#rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
## for Palatino and other serif fonts use:
#rc('font',**{'family':'serif','serif':['Arial']})
#rc('text', usetex=True)
data = read_file_spice("EJ4/simulaciones/UNIVERSAL_ETAPA2_MODIFICADO.txt")
arr = {"notch_f": [], "min": [], "bw": []}
for i in range(len(data)):
info = computar_notch(data[i])
arr["notch_f"].append(info["notch_f"])
arr["min"].append(info["min"])
arr["bw"].append(info["f2"] - info["f1"])
#print(arr)
make_histogram(variable="Notch frecuency",
unidad="Hz",
data=arr["notch_f"],
filename="histograma_martu_notch_frecuency.png",
bar_width=50741 - 50225)
make_histogram(variable="Notch depth",
unidad="dB",