fix Exercise 20b — Beyond 2

[arindamchoudhury]

df.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1000 entries, 0 to 999
Data columns (total 7 columns):
 #   Column                    Non-Null Count  Dtype  
---  ------                    --------------  -----  
 0   city                      1000 non-null   object 
 1   growth_from_2000_to_2013  1000 non-null   object 
 2   latitude                  1000 non-null   float64
 3   longitude                 1000 non-null   float64
 4   population                1000 non-null   int64  
 5   rank                      1000 non-null   int64  
 6   state                     1000 non-null   object 
dtypes: float64(2), int64(2), object(3)
memory usage: 54.8+ KB

pd.cut fails as column growth_from_2000_to_2013 is string

# Turn to float
df['growth_from_2000_to_2013'] = df['growth_from_2000_to_2013'].astype(float)

fixes this