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API
guido611 edited this page Jul 10, 2019
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You will be able to discover most of the library functions via the eda.plot(df)
widget.
If you want to dig deeper into our docs, you can find them here.
- The best API is no API. Just execute
df
(or the name of your pandas dataframe object) and see what happens. If you imported edaviz, it will add some interactive visualizations to your pandas dataframe -
eda.plot(df)
shows an overview widget of a given dataframe. This is the main entry point of the edaviz library -
eda.plot(df, x)
shows a suitable univariate summary of a given column, e.g.eda.plot(df, "Age")
-
eda.plot(df, x, y)
shows a suitable bivariate plot of the two columns, e.g.eda.plot(df, "Survived", "Age")
. -
eda.patterns(df)
answers the question: "between which columns exist predictive patterns?"
The big advantage of eda.plot
is that you do not have to specify the chart type because a best practice visualization is inferred based on the column data types.
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