Example #1
0
#!/usr/bin/env python
#
# This example shows how to use the Function1D object to analyze and plot results.
import numpy as np
import matplotlib.pyplot as plt

from abipy.core import Function1D

# Build mesh [0, 2pi] with 100 points.
mesh = np.linspace(0, 2*np.pi, num=100)

# Compute sine function.
sine = Function1D.from_func(np.sin, mesh)

# Call matplotlib to plot data.
fig = plt.figure()
ax = fig.add_subplot(1,1,1)

# Plot sine.
sine.plot_ax(ax, label="sin(x)")

# Spline sine on the coarse mesh sx, and plot the data.
sx = np.linspace(0, 2*np.pi, num=25)
splsine = sine.spline(sx) 

plt.plot(sx, splsine, "ro", label="splined sine")

# Compute the 1-st and 2-nd order derivatives 
# with finite differences (5-point stencil).
for order in [1,2]:
    der = sine.finite_diff(order=order)
Example #2
0
#!/usr/bin/env python
import wx
import numpy as np

from abipy.core import Function1D
from abipy.gui.awx.func1dframe import Func1dPlotFrame

app = wx.App()
func1d = Function1D.from_func(np.sin, np.arange(1,100,1))
frame = Func1dPlotFrame(None, func1d)
frame.Show()
app.MainLoop()