The example_jupyter.ipynb notebook works fine until section 3. Shoreline analysis
Shoreline analysis
In this section we show how to compute time-series of cross-shore distance along user-defined shore-normal transects.
If you have already mapped the shorelines, just load the output file (output.pkl) by running the section below
Except the below section generates a .json file.
I have amended this code to generate a output.pkl file.
However when I get down to section 5. Time-series post processing I get the following error message.
keys in output dictionary: Index(['date', 'satname', 'geoaccuracy', 'cloud cover', 'geometry'], dtype='object')
The expected keys 'shorelines' and/or 'dates' are not in the output dictionary.
If anyone is able to provide any assistance that would be fantastic as I am not sure where I am going wrong with this.
The example_jupyter.ipynb notebook works fine until section 3. Shoreline analysis
Except the below section generates a .json file.
I have amended this code to generate a output.pkl file.
However when I get down to section 5. Time-series post processing I get the following error message. keys in output dictionary: Index(['date', 'satname', 'geoaccuracy', 'cloud cover', 'geometry'], dtype='object') The expected keys 'shorelines' and/or 'dates' are not in the output dictionary.
If anyone is able to provide any assistance that would be fantastic as I am not sure where I am going wrong with this.