I have a pandas dataframe in python and I'm trying to modify a specific value in a particular row. I found a solution to this problem Set value for particular cell in pandas DataFrame using index, but it is still generating the SettingWithCopy error.
The name of the data frame is internal_df and it has columns 'price', 'visits', and 'orders'. Specifically, I want to add the number of orders and visits to a lower price point if we don't have a sufficient number of visits (100 in this example). Note that below the variable 'price' is a float, and the data types for 'price' within the internal_df data frame is float, while price and orders are ints.
if int(internal_df[internal_df['price']==price]['visits']) < 100:
 for index, row in internal_df.iterrows():
   if float(row['price']) > price:
      internal_df.ix[internal_df['price'] == price, 'visits'] = internal_df.ix[internal_df['price'] == price, 'visits'] + row['visits']
      internal_df.ix[internal_df['price'] == price, 'orders'] = internal_df.ix[internal_df['price'] == price, 'orders'] + row['orders']
Here is a sample of the data
    price   visits  sales
0   1399.99 2   0
1   169.99  2   0
2   99.99   1   0
3   99.99   1   0
4   139.99  1   0
5   319.99  1   0
6   198.99  1   0
7   119.99  1   0
8   39.99   1   0
9   259.98  1   0
Does anyone have any suggestions, or should I just ignore the error?
Brad
 
    