/Python/Calculate highest frequency or mode in pandas dataframe

Calculate highest frequency or mode in pandas dataframe

#Calculating mode of a column
df['column_name'].mode() 
#NB: This will show the index and value. To show only the value:
df['column_name'].mode()[0]

#Calculating mode of an entire dataframe or more than one series
df.mode()

#These arguments can be parsed:
df.mode(axis=0, numeric_only=False, dropna=True)
axis # axis=0 for rows and axis=1 for columns
numeric_only # False considers all values and; =True ignores all non-numerics.
dropna # =False considers all NaN values and; =True ignores all NaN values.

Similar codes

110 votes339 views6 answers
Python while
Python
3 votes361 views2 answers
Python turtle text generator
Python
44 votes295 views3 answers
Python convert string to bytes
Python
0 vote314 views1 answer
Pandas series remove element by index
Python
2 votes358 views1 answer
C:\Users\saverma2>notebook 'notebook' is not recognized as an internal or external command, operable program or batch file.
Python
0 vote371 views1 answer
Aggregate the elements of each partition, and then the results for all the partitions
Python
0 vote315 views1 answer
Music distorted on discord
Python
30 votes477 views3 answers
Django createsuperuser
Python Django
0 vote357 views1 answer
Alan watts
Python
2 votes348 views4 answers
How to create dictionary in python from csv
Python