def dados_grafico(n):
Pts = pts_wii(wm, f, d_ij, P_ref, cop, wii_set["fator_escala"],
wii_set["origem"], wii_set["ang_origem"])
y_min = -25
px = np.array(Pts["x"])
py = np.array(Pts["y"])
xsec = x[(x >= (px + x_min)) & (x <= (px + x_max)) & (y >= (py + y_min)) &
(y <= (py + y_max))]
ysec = y[(x >= (px + x_min)) & (x <= (px + x_max)) & (y >= (py + y_min)) &
(y <= (py + y_max))]
gama = Pts["alfa"] * ((2 * np.pi) / (360))
global xsec
global ysec
xsec = xsec - px
ysec = ysec - py
R = np.array([[np.cos(gama), -np.sin(gama)], [np.sin(gama), np.cos(gama)]])
for i in range(np.size(xsec)):
a = np.dot(R, np.array([[xsec[i]], [ysec[i]]]))
xsec[i] = a[0][0]
ysec[i] = a[1][0]
raio = 25
global hip
global ang
xr = xsec[(xsec >= (-raio)) & (xsec <= (raio)) & (ysec >=
(-raio)) & (ysec <=
(raio))]
yr = ysec[(xsec >= (-raio)) & (xsec <= (raio)) & (ysec >=
(-raio)) & (ysec <=
(raio))]
hip = np.sqrt(xr**2 + yr**2)
ang = np.arctan2(yr, xr) * (360 / (2 * np.pi))
return None
def dados_grafico(n):
Pts = pts_wii(wm, f, d_ij, P_ref, cop, wii_set["fator_escala"],
wii_set["origem"], wii_set["ang_origem"])
px = np.array(Pts["x"])
py = np.array(Pts["y"])
xsec = x[(x >= (px + x_min)) & (x <= (px + x_max)) & (y >= (py + y_min)) &
(y <= (py + y_max))]
ysec = y[(x >= (px + x_min)) & (x <= (px + x_max)) & (y >= (py + y_min)) &
(y <= (py + y_max))]
gama = Pts["alfa"] * ((2 * np.pi) / (360))
xsec = xsec - px
ysec = ysec - py
R = np.array([[np.cos(gama), -np.sin(gama)], [np.sin(gama), np.cos(gama)]])
for i in range(np.size(xsec)):
a = np.dot(R, np.array([[xsec[i]], [ysec[i]]]))
xsec[i] = a[0][0]
ysec[i] = a[1][0]
raio = 25
xr = xsec[(xsec >= (-raio)) & (xsec <= (raio)) & (ysec >=
(-raio)) & (ysec <=
(raio))]
yr = ysec[(xsec >= (-raio)) & (xsec <= (raio)) & (ysec >=
(-raio)) & (ysec <=
(raio))]
hip = np.sqrt(xr**2 + yr**2)
ang = np.arctan2(yr, xr) * (360 / (2 * np.pi))
datasets = {
'df_1': pd.DataFrame(xsec).to_json(orient='split'),
'df_2': pd.DataFrame(ysec).to_json(orient='split'),
'df_3': pd.DataFrame(hip).to_json(orient='split'),
'df_4': pd.DataFrame(ang).to_json(orient='split'),
}
return json.dumps(datasets)
def update_graph_scatter(n):
Pts = pts_wii(wm, f, d_ij, P_ref, cop, wii_set["fator_escala"],
wii_set["origem"], wii_set["ang_origem"])
a = np.array(Pts["x"])
b = np.array(Pts["y"])
hip = np.array([0, 5])
ang = np.array([0, Pts["alfa"]])
trace = go.Scatterpolar(
r=hip,
theta=ang,
name='Scatter',
mode='markers',
)
trace_2 = go.Scatter(
x=a,
y=b,
name='Scatter',
mode='markers',
)
return {
'data': [trace, trace_2],
'layout':
go.Layout(autosize=True,
width=1000,
height=500,
margin=go.layout.Margin(l=100),
xaxis=dict(range=[-60, 60],
scaleanchor="x",
scaleratio=1,
domain=[0, 1]),
yaxis=dict(range=[-25, 25],
scaleanchor="y",
scaleratio=1,
domain=[0, 1]),
polar=dict(radialaxis=dict(range=[0, 25])))
}
def update_graph_scatter(n):
Pts = pts_wii(wm, f, d_ij, P_ref, cop, wii_set["fator_escala"],
wii_set["origem"], wii_set["ang_origem"])
#print("x : ",Pts["x"]," y : ",Pts["y"]," z : ",Pts["z"]," alfa : ",Pts["alfa"])
px = np.array(Pts["x"])
py = np.array(Pts["y"])
xsec = x[(x >= (px + x_min)) & (x <= (px + x_max)) & (y >= (py + y_min)) &
(y <= (py + y_max))]
ysec = y[(x >= (px + x_min)) & (x <= (px + x_max)) & (y >= (py + y_min)) &
(y <= (py + y_max))]
gama = Pts["alfa"] * ((2 * np.pi) / (360))
xsec = xsec - px
ysec = ysec - py
R = np.array([[np.cos(gama), -np.sin(gama)], [np.sin(gama), np.cos(gama)]])
for i in range(np.size(xsec)):
a = np.dot(R, np.array([[xsec[i]], [ysec[i]]]))
xsec[i] = a[0][0]
ysec[i] = a[1][0]
raio = 25
xr = xsec[(xsec >= (-raio)) & (xsec <= (raio)) & (ysec >=
(-raio)) & (ysec <=
(raio))]
yr = ysec[(xsec >= (-raio)) & (xsec <= (raio)) & (ysec >=
(-raio)) & (ysec <=
(raio))]
hip = np.sqrt(xr**2 + yr**2)
ang = np.arctan2(yr, xr) * (360 / (2 * np.pi))
print("x : ", xsec, " y : ", ysec, " z : ", hip, " alfa : ", ang)
trace = go.Scatterpolar(
r=hip,
theta=ang,
name='Scatter',
mode='lines+markers',
)
trace_2 = go.Scatter(
x=xsec,
y=ysec,
name='Scatter',
mode='lines+markers',
)
return {
'data': [trace, trace_2],
'layout':
go.Layout(autosize=True,
width=1000,
height=500,
margin=go.layout.Margin(l=100),
xaxis=dict(range=[-60, 60],
showline=True,
zeroline=True,
scaleanchor="x",
scaleratio=1,
domain=[0, 1]),
yaxis=dict(range=[-25, 25],
scaleanchor="y",
scaleratio=1,
domain=[0, 1]),
polar=dict(radialaxis=dict(range=[0, 25])))
}
import dash
import numpy as np
from dash.dependencies import Output, Input
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
from wiimote_py.setup_wiimote import setup_wiimote
from PnP_py.parametros_base_wii import parametros_base_wii
from PNP_wii_func import pts_wii
from PNP_wii_func import set_wii
f, d_ij, P_ref, cop = parametros_base_wii()
wm = setup_wiimote()
wii_set = set_wii(wm, f, d_ij, P_ref, cop)
Pts = pts_wii(wm, f, d_ij, P_ref, cop, wii_set["fator_escala"],
wii_set["origem"], wii_set["ang_origem"])
t = np.arange(0.0, 2 * np.pi, 0.1)
x = 60 * np.cos(t)
y = 10 * np.sin(t)
x_max = 60
x_min = -60
y_max = 25
y_min = -25
px = np.array(Pts["x"])
py = np.array(Pts["y"])
xsec = x[(x >= (px + x_min)) & (x <= (px + x_max)) & (y >= (py + y_min)) &