I divided my dataset into 2 variables for the independent and the dependent columns and split them into training and testing datasets but my independent variable is of 2 dimension and dependent var of 1 dim.I am having a value error , when i am trying to plot my data using pyplot,according to my understanding it is due to the difference in the dimensions of my 2 variables(x & y).Can anyone explain me what is wrong in this and how can i correct this ?

since i cant put my ss here heres the link of my codes screenshot

heres the first link

heres the second link

CodePudding user response：

First of all, it is quite common, usually even necessary, for machine learning that you have more than one feature. So your variable x is a matrix with multiple columns/features.

If you now want to scatter your x and y data you have to be more specific what you want to achieve. You might want to look at seaborn scatterplot as it gives you quick access to a wide range of possibilities.

You might for example try:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

sns.scatterplot(
   data=x_train,
   x=column1,
   y=column2,
   plot_kws=dict(
            hue=y_train,
            palette="blend:gold,dodgerblue",
   )
)
plt.show()

Look at this awesome example from seaborn for heatmap-like scatterplots.