To the data frame df:
Player Team Points Mean Price Value
Gameweek
1 Jim Leeds 4.4 4.40 10.44 0.44
2 Jim Leeds 8.9 6.65 12.97 2.53
3 Jim Leeds -1.8 3.83 10.70 -2.27
I need to add a new row at the index 0 and fill it with some dummy values, plus the open price. For that I am trying:
df.loc[-1] = [df['Player'].item(),
df['Team'].item(),
0.0,
0.0,
(df['Price'].item() - df['Value'].item()),
0.0]
df.index = df.index +1 # shifting index
df = df.sort_index() # sorting by index then resseting
In order to end up with:
Player Team Points Mean Price Value
Gameweek
0 Jim Leeds 0.0 0.0 10.00 0.00
1 Jim Leeds 4.4 4.40 10.44 0.44
2 Jim Leeds 8.9 6.65 12.97 2.53
3 Jim Leeds -1.8 3.83 10.70 -2.27
But I'm getting:
df.loc[-1] = [df['Player'].item(),
return self.values.item()
ValueError: can only convert an array of size 1 to a Python scalar
What am I missing?
Select the correct answer from above options
