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

3 votes263 views1 answer
Norm complex numpy
Python
0 vote251 views1 answer
Mutiple codition datafrarme
Python
3 votes281 views1 answer
Word pattern python
Python
-1 vote261 views2 answers
Template strings in python
Python
1 vote297 views1 answer
Tabula python pdf to csv
Python
1 vote260 views1 answer
Compute mfcc python
Python
0 vote260 views1 answer
Python largest common divisor
Python
0 vote308 views1 answer
Passing array to methods
Python
2 votes279 views2 answers
How to convert tensor to list tensorflow
Python
0 vote270 views1 answer
Print type on each cell in column pandas
Python