noticed I was getting key errors when running through the notebook:
05_Interacting_with_Campaigns_and_Filters.ipynb
when reading in the dataframe from the .csv, we cast title( a unique integer value) as 'str' - but all the following code references it as being cast as 'int'.
Easy fix is to change the following:
Create a dataframe for the items by reading in the correct source CSV
items_df = pd.read_csv(dataset_dir + '/movies.csv', sep=',', usecols=[0,1], encoding='latin-1', dtype={'movieId': "object", 'title': "str"},index_col=0)
to
Create a dataframe for the items by reading in the correct source CSV
items_df = pd.read_csv(dataset_dir + '/movies.csv', sep=',', usecols=[0,1], encoding='latin-1', dtype={'movieId': "object", 'title': "int"},index_col=0)
noticed I was getting key errors when running through the notebook:
05_Interacting_with_Campaigns_and_Filters.ipynb
when reading in the dataframe from the .csv, we cast title( a unique integer value) as 'str' - but all the following code references it as being cast as 'int'.
Easy fix is to change the following:
Create a dataframe for the items by reading in the correct source CSV
items_df = pd.read_csv(dataset_dir + '/movies.csv', sep=',', usecols=[0,1], encoding='latin-1', dtype={'movieId': "object", 'title': "str"},index_col=0)
to
Create a dataframe for the items by reading in the correct source CSV
items_df = pd.read_csv(dataset_dir + '/movies.csv', sep=',', usecols=[0,1], encoding='latin-1', dtype={'movieId': "object", 'title': "int"},index_col=0)