PYTHON: Splitting One Column into Multiple After Deleting some rows

Question

I am pretty new to Python and I am trying to cleanse some data. I\'ve attached a link to the data file (Two tabs: Raw data and desired outcome). Please help!

What I am t

Answer 1

Try this:

1.)Delete Row 1-23

df = pd.read_excel('/home/mayankp/Downloads/Example2.xlsx', sheet_name=0, index_col=None, header=None, skiprows=23)

2.) Split Column B into multiple columns using '-' as a delimiter and 3.)Assign Column names to the new columns

Both these steps can be done in 1 go:

sub_df = df[1].str.split('-', expand=True).rename(columns = lambda x: "string"+str(x+1))

In [179]: sub_df
Out[179]: 
                       string1       string2             string3      string4     string5
1                           us      campaign            article1   scrolldown  findoutnow
2                           us      campaign            article1  scrollright        None
3                           us      campaign            article1   findoutnow        None
4                           us      campaign  payablesmanagement   findoutnow        None

Above is how the sample looks like after splitting on -.

Now drop the actual column from df and insert these new columns in it:

df = df.drop(1, axis=1)
df = pd.concat([df,sub_df], axis=1)

4.)Keep the numeric columns

Remaining columns are already intact. No change needed for this.

Let me know if this helps.