🔒 UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored

[rich onyx]

im using PCA and im plotting my first and second principle components but when i put it into plt.scatter this warning pops up
Here is the code

cancer_df = pd.DataFrame(cancer['data'], columns=cancer['feature_names'])
scaler = StandardScaler()
scaler.fit(cancer_df)
scaled_data = scaler.transform(cancer_df)
pca = PCA(n_components=2)
pca.fit(scaled_data)
x_pca = pca.transform(scaled_data)
plt.figure(figsize=(8, 6))
plt.scatter(x_pca[:, 0], x_pca[:, 1], cmap='plasma')
plt.xlabel('First Principle Component')
plt.ylabel('Second Principle Component')
plt.show()```

[young lodge]

@rich onyx

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[rich onyx]

also this is the figure im given

and i need it to correctly color the components

[oblique pecan]

try providing an input for c= as well, for example you can make c=x_pca[:, 1] and see what happens, sorry I haven't worked with PCA enough to know what "correctly color" means

[rich onyx]

Ok by correctly color I mean I want it to make the cmap actually work

Thanks

[young lodge]

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