I have a pandas dataframe in the following format. I am trying to plot this data based on ClusterAssigned, with probably different colors for 0 and 1.

    Distance    ClusterAssigned23      135      120      1264     0830     0

I tried with this code but does not seem to yield perfect results.

groups = dfprintscatter.groupby('ClusterAssigned')import matplotlib.pyplot as pltfig, ax = plt.subplots()
ax.margins(0.05) 
for name, group in groups:ax.plot(group.Distance, group.ClusterAssigned, marker='o', linestyle='', ms=5, label=name)
ax.legend()plt.show()

You need to use the scatter function in matplotlib and there is no need to loop or do any grouping.

x = np.arange(len(dfprintscatter))
y = dfprintscatter.Distance
c = dfprintscatter.ClusterAssigned
plt.scatter(x, y, c=c, marker='o') 

Using seaborn

import seaborn as sns
sns.lmplot(x=np.arange(len(dfprintscatter)), y='Distance', hue='ClusterAssigned', fit_reg=False)