Reputation: 781
How do I drop a level on the columns and also remove all columns except "City" and "geometry"
AREA AA5000 HOLD LEVEL TYPE ID TAZCE10_N geometry
City
Detroit 0.120861 2.0 1.0 5.0 0.0 1.0 1101.0 (POLYGON ((-83.47904699999999 41.706103, -83.4...
Austin NaN NaN NaN NaN NaN NaN NaN (POLYGON ((-97.577304 29.610979, -97.580744999...
so that it looks like this:
City geometry
Detroit (POLYGON ((-83.47904699999999 41.706103, -83.4...
Austin (POLYGON ((-97.577304 29.610979, -97.580744999...
Technically this is a geopandas df that I temporarily convert to normal df because geopandas doesn't have droplevel(). I've tried the statements below but they don't work and droplevel throws an error "AttributeError: 'Index' object has no attribute 'droplevel'.
df.columns = [c[-1] for c in df.columns]
df.reset_index()
df.columns.droplevel()
Upvotes: 0
Views: 557
Reputation: 323366
You can try dropna
with thresh
df=df.dropna(axis=1,thresh=len(df)).reset_index()
Upvotes: 1