read.source_data()
Load a Rasgo DataSource into a pandas DataFrame
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Load a Rasgo DataSource into a pandas DataFrame
id:int:ID of Rasgo DataSource to return
filters:dict: (Optional)SQL filters to apply to model data
limit:int: (Optional)Number of records to return
pandas DataFrame
Return an entire source without filters
rasgo = pyrasgo.connect(api_key)
df = pd.DataFrame
df = rasgo.read.source_data(7)Return a source with filtered results
df = rasgo.read.source_data(id=7,
filters={"DATE":"2020-12-25"}
)NOTE: Filter syntax is a pyton dictionary: { k : v } Where: k= field to apply filter to v= valid ANSI sql logic
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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