Created
May 19, 2023 11:21
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import numpy as np | |
import matplotlib.pyplot as plt | |
import os | |
from scipy import interpolate | |
filename = "TMS9.txt" | |
filename = "data\\Test002\\test002 cap_Sweep1_00000.INLCSV" | |
filename = "data\\Test002\\test003 cap_Sweep1_00000.INLCSV" | |
filenames = ["data\\Test001\\Test001_Sweep1_00000.INLCSV", | |
"data\\Test002\\test002 cap_Sweep1_00000.INLCSV", | |
"data\\Test002\\test003 cap_Sweep1_00000.INLCSV"] | |
for filename in filenames: | |
# filename = "data\\Test002\\test002 cap_Sweep1_00000.INLCSV" | |
# Xs;Ys;Xw;Yw;Ch 0 | |
x, y, Xw, Yw, z = np.loadtxt(filename, delimiter=";", skiprows=1, unpack=True) | |
xx = np.linspace(x.min(), x.max(), 100) | |
yy = np.linspace(y.min(), y.max(), 100) | |
XX, YY = np.meshgrid(xx, yy, ) | |
ZZ = interpolate.griddata((x,y), z, (XX, YY)) | |
x_line = xx | |
y_line = 200*np.ones(len(xx)) | |
plt.figure() | |
plt.pcolormesh(XX,YY,ZZ) | |
plt.colorbar(label='Intensity [a.u.]') | |
plt.xlabel("x [mm]") | |
plt.ylabel("y [mm]") |
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