I am trying to apply the encode function to a dataframe. I keep meeting a ValueError:
>>> import pandas as pd
>>> import pygeohash as gh
>>> data = { 'latitude': [4.123, 24.345, 31.654], 'longitude': [25.432, 4.234, 57.098]}
>>> df = pd.DataFrame(data)
>>> df
latitude longitude
0 4.123 25.432
1 24.345 4.234
2 31.654 57.098
>>> df['geohash']=df.apply(lambda x: gh.encode(df.latitude, df.longitude, precision=5), axis=1)
Traceback (most recent call last):
.........
ValueError: ('The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().', 'occurred at index 0')
>>>
Putting in a single pair of values:
>>> gh.encode(22,36, precision = 5)
'sgct5'
shows that gh.encode is working.
Is there any other way of doing this?
Geohash is a string representation of two dimensional geometric coordinates. This technique is well described at Wikipedia Geohash. It is basically, a form of Z-order curve. Quadtree can be used to construct a string representation. In this library, 0 for SW, 1 for SE, 2 for NW and 3 for NE.
Geohashing is a geocoding method used to encode geographic coordinates (latitude and longitude) into a short string of digits and letters delineating an area on a map, which is called a cell, with varying resolutions. The more characters in the string, the more precise the location.
You should use the values of x
, not of df
in the apply statement:
df['geohash']=df.apply(lambda x: gh.encode(x.latitude, x.longitude, precision=5), axis=1)
# ^ ^ use x
This yields:
>>> df['geohash']=df.apply(lambda x: gh.encode(x.latitude, x.longitude, precision=5), axis=1)
>>> df
latitude longitude geohash
0 4.123 25.432 s8dp6
1 24.345 4.234 sh742
2 31.654 57.098 tm8s5
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With