PlotlyJS: faceted density heatmaps

General Usage
,
1

Hi,

I am trying to replicate the code that produces a faceted density heatmap using the “tips” data frame. The code I am trying to replicate is this:

using PlotlyJS, CSV, DataFrames
df = dataset(DataFrame, "tips")

plot(
    df, x=:total_bill, y=:tip, xbingroyp="x", ybingroup="y",  kind="histogram2d",
    facet_row=:sex, facet_col=:smoker
)

The plot associated with that code is next:

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The data frame, named by me as dftips, looks like this (just the first 10 rows out of 244):

244×8 DataFrame
 Row │ total_bill  tip      sex     smoker  day     time    size   Column8
     │ Float64     Float64  String  String  String  String  Int64  Missing
─────┼─────────────────────────────────────────────────────────────────────
   1 │      16.99     1.01  Female  No      Sun     Dinner      2  missing
   2 │      10.34     1.66  Male    No      Sun     Dinner      3  missing
   3 │      21.01     3.5   Male    No      Sun     Dinner      3  missing
   4 │      23.68     3.31  Male    No      Sun     Dinner      2  missing
   5 │      24.59     3.61  Female  No      Sun     Dinner      4  missing
   6 │      25.29     4.71  Male    No      Sun     Dinner      4  missing
   7 │       8.77     2.0   Male    No      Sun     Dinner      2  missing
   8 │      26.88     3.12  Male    No      Sun     Dinner      4  missing
   9 │      15.04     1.96  Male    No      Sun     Dinner      2  missing
  10 │      14.78     3.23  Male    No      Sun     Dinner      2  missing

My adapted piece of code that does not run is:

Plot(dftips, x=dftips.total_bill, y=dftips.tip, xbingroyp="x", ybingroup="y", kind="histogram2d",
    facet_row=dftips.sex, facet_col=dftips.smoker)

However, I get the error:

TypeError: in keyword argument facet_row, expected Union{Missing, Symbol}, 
got a value of type PooledArrays.PooledVector{String, UInt32, Vector{UInt32}}

I replicated all the other examples using this data frame and PlotlyJS. I have no idea how to overcome this obstacle. Help will be very much appreciated.

2

If you are displaying the dataframe, df, from the first example that works, you can see that
“total_bill” and “tip” are column names. Hence your new example should be:

Plot(dftips, x= :total_bill, y=:tip, xbingroyp="x", ybingroup="y", kind="histogram2d",
    facet_row=:sex, facet_col=:smoker)

because perhaps the underlying low level code will take for x, y, facet_row and facet_col the corresponding column names from your passed dataframe, dftips.

1 Like
3

@empet, thanks. Your code works. Yesterday, I tried your code, and it threw out an error. As far as I can remember, I think it was “total_bill and tip not defined”. Probably, a stupid typo. Thank you.