AttributeError: 'str' object has no attribute 'view' in Seaborn , Scatterplot

This is a peculiar issue with seaborn where the color palette needs to equal the number of labels

sns.scatterplot(x = toy_data.X, y = toy_data.Y, hue = toy_data.Label, alpha = 0.5,                palette=sns.color_palette("Set1", toy_data.Label.nunique()) )

If not, seaborn will apply numerical functions to map the number of hue categories to the default palette of four colours. This is why you get an error when the values are a string

As presented, your column Label is an object. It need to be a number (int or float).

toy_data.info()<class 'pandas.core.frame.DataFrame'>Index: 20 entries, 0 to 9Data columns (total 4 columns):X              20 non-null float64Y              20 non-null float64Label          20 non-null objectProbability    20 non-null float64dtypes: float64(3), object(1)memory usage: 800.0+ bytes

Do this:

toy_data.loc[:,'Label'] = toy_data.Label.astype(np.float)

to change it to float.

Then your command:

sns.scatterplot(x = toy_data.X, y = toy_data.Y, hue = toy_data.label.values, alpha = 0.5)

should work.

I am using this command to generate the data frame

dict = {"X":{"0":0.12765045,"1":0.0244816152,"2":0.1263715245,"3":0.0246376768,"4":0.1108581319,"5":0.1406719382,"6":0.1358105564,"7":0.1245863432,"8":0.1175445352,"9":0.1188479018,"10":0.1113148159,"11":0.117455495,"12":0.110555662,"13":0.1328567106,"14":0.103064284,"15":0.1119474442,"16":0.119390455,"17":0.1246727756,"18":0.1117827155,"19":0.1169972547},"Y":{"0":0.1241083714,"1":0.1394242378,"2":0.1225010796,"3":0.0077080173,"4":0.1198371354,"5":0.0029026989,"6":0.1259473297,"7":0.0,"8":0.0,"9":0.1214620231,"10":0.1204110739,"11":0.0,"12":0.1194570059,"13":0.0014971676,"14":0.1184584731,"15":0.1212061305,"16":0.1221438778,"17":0.0,"18":0.1209991075,"19":0.0},"Label":{"0":"17","1":"3","2":"17","3":"0","4":"14","5":"21","6":"16","7":"23","8":"20","9":"15","10":"14","11":"20","12":"14","13":"22","14":"13","15":"14","16":"15","17":"23","18":"14","19":"20"},"Probability":{"0":1.0,"1":1.0,"2":1.0,"3":1.0,"4":1.0,"5":1.0,"6":1.0,"7":1.0,"8":1.0,"9":1.0,"10":1.0,"11":1.0,"12":1.0,"13":1.0,"14":1.0,"15":1.0,"16":1.0,"17":1.0,"18":0.9101796407,"19":1.0}}toy_data = pd.DataFrame(dict)

You will need numpy import numpy as np to convert the values to float