drop column with empty name

Question

I have a dataframe with empty column name df.info():

 #   Column           Non-Null Count  Dtype 
---  ------           --------------  ----- 
 0   Timestamp        11586 non-null  object
 1   Email address    11586 non-null  object
 2                    11586 non-null  object
 3   Score            11586 non-null  object
 4   ID               11586 non-null  object
 5   variable         11586 non-null  object
 6   Answer           11586 non-null  object

It can also be at different column index such as :

 #   Column           Non-Null Count  Dtype 
---  ------           --------------  ----- 
 0   Timestamp        11586 non-null  object
 1   Email address    11586 non-null  object
 2   Score            11586 non-null  object
 3                    11586 non-null  object
 4   ID               11586 non-null  object
 5   variable         11586 non-null  object
 6   Answer           11586 non-null  object

How can I drop the empty column name regardless the position?

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.drop.html — Capie, Jan 11 '21 at 11:42
@Aelius OP explicitly mentions that the table is the output of `df.info()` — TheMaster, Jan 11 '21 at 11:52

score 2 · Accepted Answer · answered Jan 11 '21 at 11:43

2

You can use this:

df = df[[x for x in df.columns if len(x)>=1]]

This approach does not care in which index the empty name is, it just takes every column that has a length of at least 1 or more.

answered Jan 11 '21 at 11:43

Jonas Palačionis

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score 0 · Answer 2 · answered Jan 11 '21 at 11:42

0

assuming that you want to drop column 3

columns_list = [ 3 ] # index numbers of columns you want to delete
df = df.drop(columns=df.columns[columns_list])

answered Jan 11 '21 at 11:42

Paul Brennan

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drop column with empty name

2 Answers2