def visualize(ac1, ac2, ac3):
print(ac1)
print(ac2)
print(ac3)
nac1 = np.asarray(ac1)
nac2 = np.asarray(ac2)
nac3 = np.asarray(ac3)
together = np.concatenate((nac1, nac2, nac3), axis=0)
df.append(
pd.DataFrame({
'Class1':
nac1,
'Class2':
nac2,
'combined':
nac3,
'percent':
pd.Categorical(['25' for i in range(0, len(nac1))]),
}))
print(df)
x = np.arange(3)
ax = plt.subplot(111)
ax.bar(x - 0.2, ac1, width=0.2, color='b', align='center')
ax.bar(x, ac2, width=0.2, color='g', align='center')
ax.bar(x + 0.2, ac3, width=0.2, color='r', align='center')
plt.savegif('baractive.png')
def visualize(ac1,ac2,ac3):
print(ac1)
print(ac2)
print(ac3)
nac1 = np.asarray(ac1)
nac2 = np.asarray(ac2)
nac3 = np.asarray(ac3)
together = np.concatenate((nac1,nac2,nac3),axis=0)
df.append(pd.DataFrame({
'Class1': nac1,
'Class2': nac2,
'combined': nac3,
'percent' : pd.Categorical(['25' for i in range(0,len(nac1))]),
}))
print(df)
x=np.arange(3)
ax = plt.subplot(111)
ax.bar(x-0.2,ac1,width=0.2,color='b',align='center')
ax.bar(x,ac2,width=0.2,color='g',align='center')
ax.bar(x+0.2,ac3,width=0.2,color='r',align='center')
plt.savegif('baractive.png')
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
file = "trayectoria_E_alpha.dat"
puntos=100
data = np.loadtxt(file)
x=data[:,0]
y=data[:,1]
z=data[:,2]
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
o=fig.gca(projection='3d')
o.plot(x,y,z)
plt.savegif("Grafica.pdf",format="pdf")