read.feature_data()
Load a Rasgo Feature into a pandas DataFrame
Parameters
id
:int:
ID of Rasgo Collection to return
filters
:dict: (Optional)
SQL filters to apply to model data
limit
:int: (Optional)
Number of records to return
Return Object
pandas DataFrame
Sample Usage
Return an entire collection without filters
rasgo = pyrasgo.connect(api_key)
df = pd.DataFrame
df = rasgo.read.feature_data(101)
Return a collection with filtered results
df = rasgo.read.feature_data(id=101,
filters={"DATE":"2020-12-25"}
)
df = rasgo.read.feature_data(id=101,
filters={"DATE":">='2020-12-25'"}
)
df = rasgo.read.feature_data(id=101,
filters={"DATE":"2020-12-25",
"FIPS":"BETWEEN '0000' AND '2000'"},
limit=100
)
Best Practices / Tips
Supported SQL Filters are:
">" Greater than
"<" Less than
">=" Greater than or eqaul to
"<=" Less than or equal to
"<>" or "!=" Does not equal
"IN (x,y,z)" In (list)
"BETWEEN x AND y" Between 2 values
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