SpaceTimePandas 0.1.1

Location date features as dataframe

SpaceTimePandas

Location and date features from a bunch of api sources to Pandas. Repository hosted on GitHub.

pip install SpaceTimePandas

Demo

Get a lot of space and time related features! See also demo_pipeline.ipynb or on colab [SpaceTimePandas] demo_pipeline.ipynb

>>> df
         location_name        date
0      Toronto, Canada  2020-01-01
1      Toronto, Canada  2020-01-02
2  Halifax, NS B3J 1M3  2020-01-01
3  Halifax, NS B3J 1M3  2020-01-02

Define a collection of features.

>>> from stpd.location import OpenStreetMap, SimpleMaps
>>> from stpd.pipeline import Pipeline
>>> from stpd.utils_geocode import GeoCode
>>> from stpd.weather import NOAA, ClimateWeatherGC
>>> p = Pipeline([
>>>     GeoCode(location_name_col='location_name', lat_col='lat', lon_col='lon'),
>>>     OpenStreetMap(lat_col='lat', lon_col='lon'),
>>>     SimpleMaps(lat_col='lat', lon_col='lon'),
>>>     NOAA(date_col='date', lat_col='lat', lon_col='lon'),
>>>     ClimateWeatherGC(date_col='date', lat_col='lat', lon_col='lon'),
>>> ])
>>> features = p.add_features_to_df(df)
>>> features.shape
(4, 60)

Preview of a single row (some columns truncated).

>>> features.iloc[0]
location_name                Toronto, Canada
date                              2020-01-01
lat                                43.653482
lon                               -79.383935
count_natural=tree                       719
count_natural=water                       15
...
iso2                                      CA
iso3                                     CAN
admin_name                           Ontario
capital                                  NaN
population                         5429524.0
...
STATION                          USC00309690
TMAX                                    83.0
TMIN                                    -6.0
...
Heat Deg Days (°C)                      14.4
Heat Deg Days Flag                      None
...
Total Snow (cm)                          NaN
Total Snow Flag                         None
...
Dir of Max Gust (10s deg)                NaN
Dir of Max Gust Flag                       M
...
Name: 0, dtype: object

You can of course use the components above individually.

• Weather features demo_weather.ipynb.
• Location features demo_location.ipynb.