@@ -512,7 +512,7 @@ measure_root_mass(filename="data/trial-016.jpg", sigma=1.5)
512512```
513513
514514``` output
515- 0.0482436835106383`
515+ 0.04907247340425532
516516```
517517
518518Now we can use the function to process the series of four images shown above.
@@ -525,18 +525,18 @@ and the filenames all start with the **trial-** prefix and
525525end with the ** .jpg** suffix.
526526
527527``` python
528- all_files = glob.glob(" data/trial-*.jpg" )
528+ all_files = sorted ( glob.glob(" data/trial-*.jpg" ) )
529529for filename in all_files:
530530 density = measure_root_mass(filename = filename, sigma = 1.5 )
531531 # output in format suitable for .csv
532532 print (filename, density, sep = " ," )
533533```
534534
535535``` output
536- data/trial-016.jpg,0.0482436835106383
537- data/trial-020.jpg,0.06346941489361702
538- data/trial-216.jpg,0.14073969414893617
539- data/trial-293.jpg,0.13607895611702128
536+ data/trial-016.jpg,0.04907247340425532
537+ data/trial-020.jpg,0.06381366356382978
538+ data/trial-216.jpg,0.14205152925531914
539+ data/trial-293.jpg,0.13665791223404256
540540```
541541
542542::::::::::::::::::::::::::::::::::::::: challenge
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