Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
dataframe.mod() function returns modulo of dataframe and other, element-wise (binary operator mod). This function is essentially same as the
Dataframe % other, but with support to substitute a fill_value for missing data in one of the inputs. This function can be used with either a series or a dataframe.
Syntax: DataFrame.mod(other, axis=’columns’, level=None, fill_value=None)
Other : Series, DataFrame, or constant
axis : For Series input, axis to match Series index on
level : Broadcast across a level, matching Index values on the passed MultiIndex level
fill_value : Fill existing missing (NaN) values, and any new element needed for successful DataFrame alignment, with this value before computation. If data in both corresponding DataFrame locations is missing the result will be missing
Returns : result : DataFrame
Example #1: Use
mod() function to find the modulo of each value in the dataframe withe a constant.
Lets use the
dataframe.mod() function to find the modulo of dataframe with 3
Example #2: Use
mod() function to find the modulo with a series over the column axis.
Let’s create the series object
Lets use the
dataframe.mod() function to find the modulo of dataframe with series
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