Deleting a column using the iloc function of dataframe and slicing, when we have a typical column name with unwanted values:

df = df.iloc[:,1:] # Removing an unnamed index column 

Here 0 is the default row and 1 is the first column so ,1 where starts and stepping is taking default values, hence :,1: is our parameter for deleting the first column.

Deleting a column using the iloc function of dataframe and slicing, when we have a typical column name with unwanted values:

df = df.iloc[:,1:] # Removing an unnamed index column 

Here 0 is the default row and 1 is the first column, hence :,1: is our parameter for deleting the first column.

Deleting a column using iloc function of dataframe and slicing, when we have a typical column name with unwanted values.

df = df.iloc[:,1:] # removing an unnamed index column 

Here 0 is the default row and 1 is 1st column so ,1 where starts and stepping is taking default values, hence :,1: is our parameter for deleting the first column.

Deleting a column using the iloc function of dataframe and slicing, when we have a typical column name with unwanted values:

df = df.iloc[:,1:] # Removing an unnamed index column 

Here 0 is the default row and 1 is the first column so ,1 where starts and stepping is taking default values, hence :,1: is our parameter for deleting the first column.