lmplot issue

[jenfenghsu]

System: Julia 1.2.0 on Jupyter, Julia 1.10 on my other laptop has the same issue.

using PyPlot, Plots
using CSV, DataFrames
using Seaborn; sns = Seaborn;

df = CSV.read("Pokemon.csv", header=1);
sns.lmplot(x=df.Attack, y=df.Defense, data=df, fit_reg=false)

runs into error: PyError ($(Expr(:escape, :(ccall(#= C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\pyfncall.jl:43 =# @pysym(:PyObject_Call), PyPtr, (PyPtr, PyPtr, PyPtr), o, pyargsptr, kw))))) <class 'TypeError'> TypeError("'PyCall.jlwrap' object is not subscriptable",) File "C:\Users\jhsu.julia\conda\3\lib\site-packages\seaborn\regression.py", line 551, in lmplot data = data[cols]

Stacktrace: [1] pyerr_check at C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\exception.jl:60 [inlined] [2] pyerr_check at C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\exception.jl:64 [inlined] [3] _handle_error(::String) at C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\exception.jl:81 [4] macro expansion at C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\exception.jl:95 [inlined] [5] #110 at C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\pyfncall.jl:43 [inlined] [6] disable_sigint at .\c.jl:446 [inlined] [7] __pycall! at C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\pyfncall.jl:42 [inlined] [8] _pycall!(::PyCall.PyObject, ::PyCall.PyObject, ::Tuple{}, ::Int64, ::PyCall.PyObject) at C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\pyfncall.jl:29 [9] _pycall!(::PyCall.PyObject, ::PyCall.PyObject, ::Tuple{}, ::Base.Iterators.Pairs{Symbol,Any,NTuple{4,Symbol},NamedTuple{(:x, :y, :data, :fit_reg),Tuple{CSV.Column{Int64,Int64},CSV.Column{Int64,Int64},DataFrame,Bool}}}) at C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\pyfncall.jl:11 [10] #call#117 at C:\Users\jhsu.julia\packages\PyCall\zqDXB\src\pyfncall.jl:86 [inlined] [11] (::getfield(PyCall, Symbol("#kw#PyObject")))(::NamedTuple{(:x, :y, :data, :fit_reg),Tuple{CSV.Column{Int64,Int64},CSV.Column{Int64,Int64},DataFrame,Bool}}, ::PyCall.PyObject) at .\none:0 [12] #lmplot#4(::Base.Iterators.Pairs{Symbol,Any,NTuple{4,Symbol},NamedTuple{(:x, :y, :data, :fit_reg),Tuple{CSV.Column{Int64,Int64},CSV.Column{Int64,Int64},DataFrame,Bool}}}, ::typeof(lmplot)) at C:\Users\jhsu.julia\packages\Seaborn\E3HS0\src\Seaborn.jl:55 [13] (::getfield(Seaborn, Symbol("#kw##lmplot")))(::NamedTuple{(:x, :y, :data, :fit_reg),Tuple{CSV.Column{Int64,Int64},CSV.Column{Int64,Int64},DataFrame,Bool}}, ::typeof(lmplot)) at .\none:0 [14] top-level scope at In[31]:1

However, using replot: sns.regplot(x=df.Attack, y=df.Defense, fit_reg=true) yields expected plot.