Double check gentrification prioritization

[timathomas]

When we assign tracts to either gentrification or displacement categories, I thought we were prioritizing gentrification. So why would a tract that gentrified 2000-18 be ongoing displacement? This happens in Oakland with 4014 and 4018. Maybe others too.

[timathomas]

Issues:

• 4014 & 4018 got labeled as OD because it has lostli_18, the gentrification measures do not account for this category.

• Ongoing displacement code does not account for whether it gentrified.

df['OD'] = 0
df['OD'] = np.where((df['pop00flag']==1)&
                          ((df['low_pdmt_medhhinc_18']==1)|(df['mix_low_medhhinc_18']==1))&
                          (df['lostli_18']==1), 1, 0)

df['OD_loss'] = np.where((df['pop00flag'].isna())|
                    (df['low_pdmt_medhhinc_18'].isna())|
                    (df['mix_low_medhhinc_18'].isna())|
                    (df['lostli_18'].isna()), np.nan, df['OD'])

df['OD'] = np.where((df['OD'] == 1)&(df['ARG']==1), 0, df['OD']) ### This is to account for double classification
df['OD'] = np.where((df['OD'] == 1)&(df['EOG']==1), 0, df['OD']) ### This is to account for double classification

[timathomas]

If defined as gentrified as 00_18, go to EOG and out of OD.