Reputation: 367
Lets say that I have a dataframe (using pandas data analysis library) that looks like so:
Unnamed Column1:
1 'Puppies'
2 6
3 15
4 13
5 12
And I want to get the dataframe to look like this:
'Puppies'
1 6
2 15
3 13
4 12
5 80
How does one shift everything up, including entries to replace the column name. Is there a way to do this?
Upvotes: 1
Views: 1220
Reputation: 880359
df.columns = df.iloc[0] # set the columns to the values in the first row
df = df.iloc[1:] # reassign df to all rows but the first
Note that "Unnamed: 1"
sounds suspiciously like the name pd.read_csv
assigns to the column if the header row lacked a column name. In that case, instead of patching up the result as shown above, you might be able to fix the problem with skiprows=1
or header=1
instead. skiprows=1
would cause pd.read_csv
to skip the first row and thus read the headers (column names) from the second row automatically.
Upvotes: 6