如何切片熊猫数据框地理定位

Question

I have read in a bunch of data into my dataframe (df) from a CSV file. One of the fields is a GeoLocation (longitude, latitude) and I wish to slice out certain rows where the longitude is between 37 and 40. The CSV stores the geolocation in a column with (longitude, latitude) I am having trouble using the 'df.where()' function

geo = df.where(df['GeoLocation'][0] < 40 & df['GeoLocation'][0] > 37)

This keeps throwing error saying

TypeError: 'str' object cannot be interpreted as an integer

What am i doing wrong when i am trying to slice the column?

Here is the code i used to pull in the data

df = pd.concat([x for x in pd.read_csv('U.S._Chronic_Disease_Indicators__CDI_.csv', chunksize=1000)], ignore_index=True)'

Answer 1

You want to split up the series first, then do a filter

df[['lat', 'long']] = df['GeoLocation'].str.split(',', expand=True).astype(float)
geo = df[(df['lat'] < 40) & (df['long'] > 37)]

Note that the [(x) & (y)] is very picky about you explicitly having all the parentheses.