Data structure for KMeans clustering using Pandas DataFrames

Question

I am currently working on some scientific data and I am trying to perform a clustering task on it but I get a Value error due to the the format of the data. Which is two Pandas DataFrames in [170 rows x 7 columns].

#x is the y distance

x = np.empty(7, dtype = object)

x[:] = [distance_lC, distance_fC]

#y is the speed.

y = np.empty(7, dtype = object)

y[:] = [speed_lC, speed_fC]

cell_kmeans = KMeans(n_clusters = 4).fit_predict(y)

fig = plt.figure()

ax = fig.add_subplot(1,1,1)

ax.scatterplot(cell_kmeans)

plt.show()

The output should give out the cluster. But I have the following Value Error: "ValueError: setting an array element with a sequence."

Answer 1

You need to contact the two data frames into one before using them. You can use pandas.concat() methods to merge two data frames into one. Like this:

y = pandas.concat([speed_lC, speed_fC])

To know more about this you can have a look at the following video:-