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Plot

Visualize a dataset flexibly, depending on axes and metrics chosen

Parameters

Name
Type
Description
Is Optional
x_axis
x_axis
X-axis by which to view your data. Can be categorical, datetime, or numeric. If categorical, will output a bar chart. If datetime or numerical, will result in a line chart. Includes 'timeseries_options' for timeseries axis and 'bucket_count' for numeric axis.
​
aggregations
column_agg_list
numeric, quantitative values that you can measure
​
filters
filter_list
Filter logic on one or more columns. Can choose between a simple comparison filter or advanced filter using free text.
True
dimensions
column_list
Categorical column(s) by which to pivot the calculated metrics. Including this argument will generate a new metric calculation for each distinct value in the group by column. If this column has more than 20 distinct values, the plot will not generate.
True

Example

ds = rasgo.get.dataset(id)
​
ds2 = ds.aggregate_plot(
x_axis={
'column': 'ORDERDATE',
'type': 'timeseries',
'timeseries_options': {
'start_date': '2021-02-01',
'end_date': '2021-03-01',
'time_grain': 'day',
}
}, aggregations= {
'RAINFALL': ['SUM', 'AVG'],
'SNOWFALL': ['SUM', 'AVG']
})
ds2.preview()

Source Code

Last modified 7mo ago