diff --git a/docs/developer-center/reference/07-demographic-functions.md b/docs/developer-center/reference/07-demographic-functions.md index 8ffd670..890c68b 100644 --- a/docs/developer-center/reference/07-demographic-functions.md +++ b/docs/developer-center/reference/07-demographic-functions.md @@ -1,7 +1,7 @@ ### Demographic Functions
-

We will no longer support these segmentations functions from the 1st of January 2021. For a similar functionality, we recommend using Data Observatory from our Phython library CARTOframes instead.

+

We will no longer support these demographic functions from the 1st of January 2021. If you want to collect demographic reports around a point location, we recommend using Data Observatory from our Python library CARTOframes instead.

The Demographic Snapshot enables you to collect demographic reports around a point location. For example, you can take the coordinates of a coffee shop and find the average population characteristics, such as total population, educational attainment, housing and income information around that location. You can use raw street addresses by combining the Demographic Snapshot with CARTO's geocoding features. If you need help creating coordinates from addresses, see the [Geocoding Functions]({{site.dataservicesapi_docs}}/reference/#geocoding-functions) documentation. diff --git a/docs/developer-center/reference/09-segmentation-functions.md b/docs/developer-center/reference/09-segmentation-functions.md index bc7859f..b1fb46c 100644 --- a/docs/developer-center/reference/09-segmentation-functions.md +++ b/docs/developer-center/reference/09-segmentation-functions.md @@ -1,7 +1,7 @@ ## Segmentation Functions
-

We will no longer support these segmentations functions from the 1st of January 2021. For a similar functionality, we recommend using Data Observatory from our Phython library CARTOframes instead.

+

We will no longer support these segmentations functions from the 1st of January 2021. For a similar functionality, we recommend using Data Observatory from our Python library CARTOframes instead.

The Segmentation Snapshot functions enable you to determine the pre-calculated population segment for a location. Segmentation is a method that divides a populations into subclassifications based on common traits. For example, you can take the a store location and determine what classification of population exists around that location. If you need help creating coordinates from addresses, see the [Geocoding Functions]({{site.dataservicesapi_docs}}/reference/#geocoding-functions) documentation. diff --git a/server/lib/python/cartodb_services/requirements.txt b/server/lib/python/cartodb_services/requirements.txt index 1c4053f..005f20a 100644 --- a/server/lib/python/cartodb_services/requirements.txt +++ b/server/lib/python/cartodb_services/requirements.txt @@ -6,6 +6,9 @@ rollbar==0.13.2 # Dependency for googlemaps package requests==2.20.0 rratelimit==0.0.4 +# botocore 1.19.0 introduced an error `ImportError: cannot import name 'IPV6_ADDRZ_RE'` +# and mapbox depends on botocore<=1.19.0 so forcing 1.18.18 +botocore==1.18.18 mapbox==0.14.0 pygeocodio==0.11.1