Step - modify_network - IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed

[zbiper]

Hi,
I am new in MintPy (but not in InSAR), I installed MintPy and tested with provided example datssets. It seems that everything is ok.

I am trying now with my owsn dataset:
The set contains S1 25 interferogram combinations SBAS processed with SNAPHU. ETAD corrected, geocoded, croped to small area. I prepared a data structire the same as in 'Sentinel-1 on Western Cape, South Africa with SNAP' dataset.
It seems that MinPy reads my dataset correctly:
processor : snap
SAR platform/sensor : unknown from project name "test_S1"

prepare metadata files for snap products
prep_snap.py "../interferograms///Unw*.img"
prep_snap.py "../interferograms///coh_.img"
prep_snap.py "../dem/dem*.img"

updateMode : True
compression: default
multilook x/ystep: 1/1
multilook method : nearest
input bounding box of interest in lat/lon: (104.5219041642623, 22.149965890259857, 104.54605118955719, 22.112487694750072)
box to read for datasets in y/x: (0, 0, 192, 298)

searching geometry files info
input data files:
height : ..\dem_tc.data\dem.img
All datasets exists in file geometryGeo.h5 with same size as required, no need to re-load.

searching interferogram pairs info
input data files:
unwrapPhase : ../interferograms///Unw*.img
coherence : ../interferograms///coh_*.img
number of unwrapPhase : 25
number of coherence : 25
All date12 exists in file ifgramStack.h5 with same size as required, no need to re-load.

Then problem appears when:

******************** step - modify_network ********************
Input data seems to be geocoded. Lookup file not needed.

modify_network.py D:\mintpy\test2\test_S1\mintpy\inputs/ifgramStack.h5 -t D:\mintpy\test2\test_S1\mintpy\smallbaselineApp.cfg
read options from template file: smallbaselineApp.cfg
No lookup table (longitude or rangeCoord) found in files.
No input option found to remove interferogram
Keep all interferograms by enable --reset option

reset dataset 'dropIfgram' to True for all interferograms for file: D:\mintpy\test2\test_S1\mintpy\inputs/ifgramStack.h5
All dropIfgram are already True, no need to reset.

plot_network.py D:\mintpy\test2\test_S1\mintpy\inputs/ifgramStack.h5 -t D:\mintpy\test2\test_S1\mintpy\smallbaselineApp.cfg --nodisplay -d coherence -v 0.2 1.0
read options from template file: smallbaselineApp.cfg
read temporal/spatial baseline info from file: D:\mintpy\test2\test_S1\mintpy\inputs/ifgramStack.h5
open ifgramStack file: ifgramStack.h5
calculating spatial mean of coherence in file D:\mintpy\test2\test_S1\mintpy\inputs/ifgramStack.h5 ...
[==================================================] 1/1
write average value in space into text file: coherenceSpatialAvg.txt
Traceback (most recent call last):
File "C:\Users\zbign\anaconda3\Scripts\smallbaselineApp.py-script.py", line 9, in
sys.exit(main())
File "C:\Users\zbign\anaconda3\lib\site-packages\mintpy\cli\smallbaselineApp.py", line 209, in main
run_smallbaselineApp(inps)
File "C:\Users\zbign\anaconda3\lib\site-packages\mintpy\smallbaselineApp.py", line 1155, in run_smallbaselineApp
app.run(steps=inps.runSteps)
File "C:\Users\zbign\anaconda3\lib\site-packages\mintpy\smallbaselineApp.py", line 911, in run
self.run_network_modification(sname)
File "C:\Users\zbign\anaconda3\lib\site-packages\mintpy\smallbaselineApp.py", line 258, in run_network_modification
mintpy.cli.plot_network.main(iargs)
File "C:\Users\zbign\anaconda3\lib\site-packages\mintpy\cli\plot_network.py", line 170, in main
plot_network(inps)
File "C:\Users\zbign\anaconda3\lib\site-packages\mintpy\plot_network.py", line 148, in plot_network
inps = read_network_info(inps)
File "C:\Users\zbign\anaconda3\lib\site-packages\mintpy\plot_network.py", line 36, in read_network_info
inps.cohList = ut.spatial_average(
File "C:\Users\zbign\anaconda3\lib\site-packages\mintpy\utils\utils1.py", line 332, in spatial_average
meanList, dateList = read_text_file(txtFile)
File "C:\Users\zbign\anaconda3\lib\site-packages\mintpy\utils\utils1.py", line 199, in read_text_file
meanList = [float(i) for i in txtContent[:, 1]]
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed

And file 'coherenceSpatialAvg.txt' contains only one pair instead of 25:

Data file: ifgramStack.h5

Mask file: None

AOI box: (0, 0, 192, 298)

Threshold: None

DATE12 Mean Btemp/days Bperp/m Num

20250101_20250113 0.2767 12 -345.5 0

Where is the problem?

Any suggestions appreciated.

Configuration: MintPy installed with conda on Windows11