I am trying to visualize the 3 features of my dataframe using MDS to scale them in 2 dimensions.
So, I performed MDS in 2 dimensions to plot the new data, giving each point a different color according to the target variable. my target variable is 'Type'
In: df
Sales hours month Type
243 13 5 A
111 4 3 B
250 7 7 C
101 12 1 A
X = df
X = pd.get_dummies(X)
scaler = MinMaxScaler()
X_scaled = scaler.fit_transform(X)
# Apply the MDS
mds = MDS(2,random_state=0)
X_2d = mds.fit_transform(X_scaled)
# Plot the new dataset.
colors = ['red','green','blue']
plt.rcParams['figure.figsize'] = [7, 7]
plt.rc('font', size=14)
for i in np.unique(df.Type):
subset = X_2d[df.Type == i]
x = [row[0] for row in subset]
y = [row[1] for row in subset]
plt.scatter(x,y,c=colors[i],label= df.target_names[i])
plt.legend()
plt.show()
When I applied the MDS, it works well and the new dataset is generated.
But my problem is in the plotting.
TypeError: list indices must be integers or slices, not str
----> plt.scatter(x,y,c=colors[i],label=all_outliers_type.target_names[i])
