xaveros/jar_project
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

13.07

Browse Source
This commit is contained in:
xaver 2020-07-13 17:40:39 +02:00
parent f2d539ae60
commit dbdaabcda2
2 changed files with 70 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
step_response.py
View File

@ -23,10 +23,10 @@ datasets = [#'2020-06-19-aa', #-5Hz delta f, horrible fit
#'2020-06-19-ab', #-5Hz delta f, bad fit
#'2020-06-22-aa', #-5Hz delta f, bad fit
#'2020-06-22-ab', #-5Hz delta f, bad fit
'2020-06-22-ac', #-15Hz delta f, good fit
'2020-06-22-ad', #-15Hz delta f, horrible fit
'2020-06-22-ae', #-15Hz delta f, maxfev way to high so horrible
'2020-06-22-af' #-15Hz delta f, good fit
'2020-06-22-ac', #-15Hz delta f, good fit
'2020-06-22-ad', #-15Hz delta f, horrible fit
'2020-06-22-ae', #-15Hz delta f, horrible fit
'2020-06-22-af' #-15Hz delta f, good fit
]
#dat = glob.glob('D:\\jar_project\\JAR\\2020*\\beats-eod.dat')

66
step_response_specto.py Normal file
View File

@ -0,0 +1,66 @@
import matplotlib.pyplot as plt
import matplotlib as cm
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
from matplotlib.mlab import specgram
import os
import glob
import IPython
import numpy as np
import DataLoader as dl
from IPython import embed
from scipy.optimize import curve_fit
from jar_functions import parse_dataset
from jar_functions import parse_infodataset
from jar_functions import mean_traces
from jar_functions import mean_noise_cut
from jar_functions import norm_function
from jar_functions import step_response
from jar_functions import sort_values
from jar_functions import average
base_path = 'D:\\jar_project\\JAR'
#nicht: -5Hz delta f, 19-aa, 22-ae, 22-ad (?)
datasets = [#'2020-06-19-aa', #-5Hz delta f, horrible fit
#'2020-06-19-ab', #-5Hz delta f, bad fit
#'2020-06-22-aa', #-5Hz delta f, bad fit
#'2020-06-22-ab', #-5Hz delta f, bad fit
'2020-06-22-ac', #-15Hz delta f, good fit
#'2020-06-22-ad', #-15Hz delta f, horrible fit
#'2020-06-22-ae', #-15Hz delta f, horrible fit
#'2020-06-22-af' #-15Hz delta f, good fit
]
#dat = glob.glob('D:\\jar_project\\JAR\\2020*\\beats-eod.dat')
#infodat = glob.glob('D:\\jar_project\\JAR\\2020*\\info.dat')
time_all = []
freq_all = []
ID = []
col = ['dimgrey', 'grey', 'darkgrey', 'silver', 'lightgrey', 'gainsboro', 'whitesmoke']
labels = zip(ID, datasets)
for infodataset in datasets:
infodataset = os.path.join(base_path, infodataset, 'info.dat')
i = parse_infodataset(infodataset)
identifier = i[0]
ID.append(identifier)
for idx, dataset in enumerate(datasets):
datapath = os.path.join(base_path, dataset)
for info, key, time, data in dl.iload_traces(datapath, repro='Beats', before=0.0, after=0.0):
print( info[1]['RePro'] )
print(data.shape)
#plt.plot(time, data[0]) # V(t)
#plt.show()
nfft = 2**10
spec, freqs, times = specgram(data[0], Fs=1.0/(time[1]-time[0]), detrend='mean', NFFT=nfft, noverlap=nfft//10)
dbspec = 10.0*np.log10(spec) # in dB
print(np.min(dbspec), np.max(dbspec))
plt.imshow(dbspec, cmap='jet', origin='lower', extent=(times[0], times[1], freqs[0], freqs[-1]), aspect='auto', vmin=-80, vmax=-30 )
# interpolation, vmin, vmax
# plot decibel as function of frequency for one time slot: wieso auflösung von frequenzen schlechter wenn nfft hoch?
plt.show()
embed()