How to access columns in a dataframe having name with special character

Question:

I have a dataframe with column names which contains special characters like

Date    
('Date','') 
('Max_Bid_Price', 'ALBAN')

The problem is when i am trying to drop (‘Date’,”) columns it is throwing error.

I tried 

df["('Date','')"]   # not able to find the label
df["('Date','')"] # not able to find the label

but when i tried 

data.columns[1] # i got the column value as output
data.drop(data.columns[1],axis=0) # but it still throws an error: "labels [('Date', '')] not contained in axis"

Can anyone help me how to access those columns with name(since i have to do operations on it) and also drop those columns:

Asked By: Manish Kumar Singh

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Source

Answers:

If you try to drop a column, the axis should be 1 

data.drop(data.columns[1],axis=1)
Answered By: tianlinhe

You can use raw string literals:

df.drop(r"('Date','')", axis=1)
Answered By: AmyChodorowski

Drop is not in place I’m afraid:

df=df.drop("('Date','')", axis=1)

Alternatively:

df=df.drop(columns="('Date','')")
Answered By: Grzegorz Skibinski