catch case of small number of points

[paulf81]

Yes

Feature or improvement description Add check for small number of points in block bootstrapping (less than number of blocks) and in that case revert to using each point as block

[misi9170]

This looks good to me. Any chance you want to print a warning if this happens so that the user is notified that something will be different? E.g.

if num_blocks > df_binned.shape[0]:
            num_blocks = df_binned.shape[0]
            print("Warning: num_blocks reduced to match the length of the df_binned.")

[paulf81]

I think not because it will get spammy, I was thinking at first this would be rare but once I started using it realized that there's always the wind direction bin / controller combination that is light on data

[paulf81]

Done, thanks @misi9170 !