To divide the values of two DataFrames, ............... function may be used. 1. divide 2. div 3. rdiv 4. division

div, rdiv Reason — We can divide two DataFrame objects using either (/) operator or using div() function as per syntax : .div( ) which means / or by using rdiv() function i.e., reverse division as per syntax : .rdiv( ) which means / .

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To divide the values of two DataFrames, …………… function may be used.
divide
div
rdiv
division

Python Pandas

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Answer

div, rdiv

Reason — We can divide two DataFrame objects using either (/) operator or using div() function as per syntax : <DF1>.div(<DF2>) which means <DF1>/<DF2> or by using rdiv() function i.e., reverse division as per syntax : <DF1>.rdiv(<DF2>) which means <DF2>/<DF1>.

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Informatics Practices

To divide the values of two DataFrames, …………… function may be used.
divide
div
rdiv
division

Python Pandas

Answer

Related Questions

To add two DataFrames' values, …………… function may be used.
plus
rplus
add
radd

To subtract the values of two DataFrames, …………… function may be used.
sub
difference
minus
rsub

Which of the following would give the same output as DF/DF1 where DF and DF1 are DataFrames ?
DF.div(DF1)
DF1.div(DF)
Divide(DF, DF1)
Div(DF, DF1)

To skip NaN values in a calculation, you can specify …………… attribute.
NaN
NA
skipna
all of these

Informatics Practices

To divide the values of two DataFrames, …………… function may be used.dividedivrdivdivision

Python Pandas

Answer

Related Questions

To add two DataFrames' values, …………… function may be used.plusrplusaddradd

To subtract the values of two DataFrames, …………… function may be used.subdifferenceminusrsub

Which of the following would give the same output as DF/DF1 where DF and DF1 are DataFrames ?DF.div(DF1)DF1.div(DF)Divide(DF, DF1)Div(DF, DF1)

To skip NaN values in a calculation, you can specify …………… attribute.NaNNAskipnaall of these

To divide the values of two DataFrames, …………… function may be used.
divide
div
rdiv
division

To add two DataFrames' values, …………… function may be used.
plus
rplus
add
radd

To subtract the values of two DataFrames, …………… function may be used.
sub
difference
minus
rsub

Which of the following would give the same output as DF/DF1 where DF and DF1 are DataFrames ?
DF.div(DF1)
DF1.div(DF)
Divide(DF, DF1)
Div(DF, DF1)

To skip NaN values in a calculation, you can specify …………… attribute.
NaN
NA
skipna
all of these