#! /usr/bin/env python
import matplotlib as mpl
import matplotlib.pyplot as plt
from pyFlowStat.PointProbe import PointProbe
path=r'Data/10/U'
pt = PointProbe()
pt.readFromOpenFoam([0.3,-0.3,0.05],path)
plt.figure('Time resolved velocity')
ax=plt.plot(pt.data['t'],pt.data['U'])
plt.title('Time resolved velocity')
plt.grid(True)
plt.xlabel('Time $[s]$')
plt.ylabel('Velocity $[m/s]$')
plt.legend(['$U_x$','$U_y$','$U_z$'])
# In the "pt" object of class "PointProbe", the data are stored in python ditionnary.
# Therefore, all the methods of a python dictonnary can be used. All single data
# (like U, Umag or the time) are stored in a numpy.array. The following lines
# show some examples.
# get a list of all the keys
print('data in pt:')
print(pt.data.keys())
#print Ux like this
print(pt.data['U'][:,0])
# or like this
print(pt['U'][:,0])
#! /usr/bin/env python
import matplotlib as mpl
import matplotlib.pyplot as plt
from pyFlowStat.PointProbe import PointProbe
path = r"Data/10/U"
pt = PointProbe()
pt.readFromOpenFoam([0.3, -0.3, 0.05], path)
plt.figure("Time resolved velocity")
ax = plt.plot(pt.data["t"], pt.data["U"])
plt.title("Time resolved velocity")
plt.grid(True)
plt.xlabel("Time $[s]$")
plt.ylabel("Velocity $[m/s]$")
plt.legend(["$U_x$", "$U_y$", "$U_z$"])
# In the "pt" object of class "PointProbe", the data are stored in python ditionnary.
# Therefore, all the methods of a python dictonnary can be used. All single data
# (like U, Umag or the time) are stored in a numpy.array. The following lines
# show some examples.
# get a list of all the keys
print("data in pt:")
print(pt.data.keys())
# print Ux like this
print(pt.data["U"][:, 0])
# or like this
print(pt["U"][:, 0])
#! /usr/bin/env python
import matplotlib as mpl
import matplotlib.pyplot as plt
from pyFlowStat.PointProbe import PointProbe
path=r'Data/10/U'
pt = PointProbe()
pt.readFromOpenFoam([0.3,-0.3,0.05],path)
plt.figure()
ax=plt.plot(pt.data['t'],pt.data['U'])
plt.title('Time resolved velocity')
plt.grid(True)
plt.xlabel('Time $[s]$')
plt.ylabel('Velocity $[m/s]$')
plt.legend(['$U_x$','$U_y$','$U_z$'])
plt.show()
