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

1 vote186 views2 answers
Python detect internet connection
Python
1 vote214 views6 answers
Add item to tuple python
Python
0 vote200 views1 answer
Python classmethod property
Python
0 vote182 views2 answers
Correlation with target variable python
Python
0 vote241 views3 answers
Gau mata
Python
11 votes195 views2 answers
Find data in sheet pandas
Python
2 votes198 views2 answers
Sqlalchemy python install
Python
0 vote181 views1 answer
Concat and Append DFs Python
Python
0 vote185 views1 answer
Opencv waitkey example
Python
0 vote215 views1 answer
Python regions
Python