/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

0 vote287 views1 answer
Pandas python3 only
Python
0 vote309 views1 answer
Jinja if or
Python
1 vote263 views1 answer
How to custom page not found in django
Python
11 votes276 views6 answers
Curl to python
Python
1 vote258 views1 answer
How to make multiple place holders in a string with %s python
Python
0 vote264 views1 answer
Pandas add value to excel column and save
Python
0 vote300 views1 answer
Message handler python telegram bot example
Python
40 votes269 views5 answers
New line print python
Python
1 vote309 views1 answer
Add background image in django uploaded file
Python Django
31 votes258 views5 answers
Image in tkinter
Python