Pandas drop empty columns

DataFrameName.dropna(axis=1, how='all', inplace=True)

Remove rows or columns with NaN value

df.dropna()     #drop all rows that have any NaN values
df.dropna(how='all')

Source: stackoverflow.com

Returns a new DataFrame omitting rows with null values

# Returns a new DataFrame omitting rows with null values

df4.na.drop().show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# | 10|    80|Alice|
# +---+------+-----+

Source: spark.apache.org

Similar codes

22 votes132 views3 answers
How to sort list in descending order in python
Python
0 vote134 views1 answer
Kinect python exoskeleton
Python
14 votes145 views3 answers
Pipenv
Python
0 vote157 views1 answer
Remove last comma forloop django
Python Django
1 vote118 views1 answer
Import open3d Illegal instruction (core dumped)
Python
2 votes177 views1 answer
How to draw polygon in tkinter
Python
0 vote169 views1 answer
Django raise 404
Python Django
3 votes127 views2 answers
Python append row to 2d array
Python
0 vote128 views1 answer
Pyqt5 how to check if a push button is triggered
Python
-1 vote135 views1 answer
Python Loop Usage
Python