sns_bar

Builtin index · Plotting

sns_bar(df, groupcol, valuecol, [agg])

Input: df, groupcol, valuecol, agg · Output: no output

What it is

Aggregates column valuecol (string, column name) within each distinct value of groupcol (string, column name) of Table df, using aggregator agg (string, positional, default "mean"; also accepts things like "sum"/"median" depending on what the underlying aggregation supports), and plots the one resulting number per group as bars.

Overloads

One call shape — this function is not overloaded.

Code	Input	Output	Description
`sns_bar(df, groupcol, valuecol, [agg])`	`df` string or Tablenot documented yet `groupcol` string or Tablenot documented yet `valuecol` string or Tablenot documented yet `agg` string or Table, optionalnot documented yet	no output	—

Examples

From the documentation, and run by the build -- the output and the figure below are what the engine actually produced. Simplest first.

df = table(x = randn(30, seed = 1), y = randn(30, seed = 2),
           grp = ["a","b","a","b","a","b","a","b","a","b",
                  "a","b","a","b","a","b","a","b","a","b",
                  "a","b","a","b","a","b","a","b","a","b"])
sns_scatter(df, "x", "y", "grp")
figure()
sns_box(df, "grp", "y")
figure()
sns_bar(df, "grp", "y")
print("rows: " + str(rows(df)))

output

rows: 30

from plotting

How it works

sns_bar(df, groupcol, valuecol, [agg]) — aggregates (mean by default) valuecol within each groupcol value and plots the result as real bars (reuses Table::group_by_agg).

From the note above this builtin in the interpreter, where the reasoning was written down as it was built.