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.
Pandas 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)
Parameters :
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 with a constant.
Python3
# importing pandas as pdimport pandas as pd# Creating the dataframe df = pd.DataFrame({"A":[12, 4, 5, 44, 1], "B":[5, 2, 54, 3, 2], "C":[20, 16, 7, 3, 8], "D":[14, 3, 17, 2, 6]})# Print the dataframedf |
Lets use the dataframe.mod() function to find the modulo of dataframe with 3
Python3
# find mod of dataframe values with 3df.mod(3) |
Output :
Example #2: Use mod() function to find the modulo with a series over the column axis.
Python3
# importing pandas as pdimport pandas as pd# Creating the dataframe df = pd.DataFrame({"A":[12, 4, 5, 44, 1], "B":[5, 2, 54, 3, 2], "C":[20, 16, 7, 3, 8], "D":[14, 3, 17, 2, 6]})# Print the dataframedf |
Let’s create the series object
Python3
# create a seriessr = pd.Series([3, 2, 4, 5])# setting its column index similar to the dataframesr.index =["A", "B", "C", "D"]# print the seriessr |
Lets use the dataframe.mod() function to find the modulo of dataframe with series
Python3
# find mod of dataframe values with series# axis = 1 indicates column axisdf.mod(sr, axis = 1) |
Output :
