Pandas new definition of operator == can cause error #95
Description
By convention, the == operator should never throw an error message. However, the following code causes an error:
import Pandas
test_df = Pandas.DataFrame(Dict(:a => [1,2], :b => [3,4]))
test_df == any #this causes an error, correct output should be false
Another example would be:
...
test_df == Base
The more specific reason this is a problem for me, besides going against convention for the operator, is that the Julia extension for Visual Studio code compares ALL variable names to some Julia functions/packages using == as part of its bookkeeping for every input, so the extension's Julia REPL terminal crashes any time a Pandas DataFrame is defined.
In case this helps, here is the full stacktrace (running Julia 1.6.2) for the error message from the above code
ERROR: (in a Julia function called from Python)
JULIA: MethodError: no method matching iterate(::Module)
Closest candidates are:
iterate(!Matched::Union{LinRange, StepRangeLen}) at range.jl:664
iterate(!Matched::Union{LinRange, StepRangeLen}, !Matched::Int64) at range.jl:664
iterate(!Matched::T) where T<:Union{Base.KeySet{var"#s79", var"#s78"} where {var"#s79", var"#s78"<:Dict}, Base.ValueIterator{var"#s77"} where var"#s77"<:Dict} at dict.jl:693
...
Stacktrace:
[1] jlwrap_iterator(o::Module)
@ PyCall ~/.julia/packages/PyCall/7a7w0/src/pyiterator.jl:144
[2] pyjlwrap_getiter(self_::Ptr{PyCall.PyObject_struct})
@ PyCall ~/.julia/packages/PyCall/7a7w0/src/pyiterator.jl:125
[3] macro expansion
@ ~/.julia/packages/PyCall/7a7w0/src/exception.jl:95 [inlined]
[4] #107
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:43 [inlined]
[5] disable_sigint
@ ./c.jl:458 [inlined]
[6] __pycall!
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:42 [inlined]
[7] _pycall!(ret::PyCall.PyObject, o::PyCall.PyObject, args::Tuple{Module}, nargs::Int64, kw::Ptr{Nothing})
@ PyCall ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:29
[8] pycall!
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:11 [inlined]
[9] ##114
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:86 [inlined]
[10] PyObject
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:86 [inlined]
[11] ==(x::DataFrame, y::Module)
@ Pandas ~/.julia/packages/Pandas/y8TBE/src/Pandas.jl:385
[12] top-level scope
@ REPL[8]:1
[13] eval
@ ./boot.jl:360 [inlined]
[14] eval_user_input(ast::Any, backend::REPL.REPLBackend)
@ REPL /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:139
[15] repl_backend_loop(backend::REPL.REPLBackend)
@ REPL /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:200
[16] start_repl_backend(backend::REPL.REPLBackend, consumer::Any)
@ REPL /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:185
[17] run_repl(repl::REPL.AbstractREPL, consumer::Any; backend_on_current_task::Bool)
@ REPL /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:317
[18] run_repl(repl::REPL.AbstractREPL, consumer::Any)
@ REPL /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:305
[19] (::Base.var"#874#876"{Bool, Bool, Bool})(REPL::Module)
@ Base ./client.jl:387
[20] #invokelatest#2
@ ./essentials.jl:708 [inlined]
[21] invokelatest
@ ./essentials.jl:706 [inlined]
[22] run_main_repl(interactive::Bool, quiet::Bool, banner::Bool, history_file::Bool, color_set::Bool)
@ Base ./client.jl:372
[23] exec_options(opts::Base.JLOptions)
@ Base ./client.jl:302
[24] _start()
@ Base ./client.jl:485
Stacktrace:
[1] pyerr_check
@ ~/.julia/packages/PyCall/7a7w0/src/exception.jl:62 [inlined]
[2] pyerr_check
@ ~/.julia/packages/PyCall/7a7w0/src/exception.jl:66 [inlined]
[3] _handle_error(msg::String)
@ PyCall ~/.julia/packages/PyCall/7a7w0/src/exception.jl:83
[4] macro expansion
@ ~/.julia/packages/PyCall/7a7w0/src/exception.jl:97 [inlined]
[5] #107
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:43 [inlined]
[6] disable_sigint
@ ./c.jl:458 [inlined]
[7] __pycall!
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:42 [inlined]
[8] _pycall!(ret::PyCall.PyObject, o::PyCall.PyObject, args::Tuple{Module}, nargs::Int64, kw::Ptr{Nothing})
@ PyCall ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:29
[9] pycall!
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:11 [inlined]
[10] ##114
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:86 [inlined]
[11] PyObject
@ ~/.julia/packages/PyCall/7a7w0/src/pyfncall.jl:86 [inlined]
[12] ==(x::DataFrame, y::Module)
@ Pandas ~/.julia/packages/Pandas/y8TBE/src/Pandas.jl:385
[13] top-level scope
@ REPL[8]:1