Scree plot sklearn

from matplotlib import pyplot as plt
from sklearn.decomposition import PCA
import seaborn as sns
import pandas as pd

pca = PCA.fit(X_train)
            
df_var_explained = pd.DataFrame(pca.explained_variance_ratio_)

plt.figure(figsize=(20, 20))

Similar codes

1 vote334 views1 answer
Frequency of occurrence of that element in the list and the positions
Python
0 vote381 views1 answer
Import sqlite to mysql django
Python Django
-1 vote335 views1 answer
Filter groupby pandas
Python
2 votes352 views2 answers
Create django user command line
Python
1 vote352 views1 answer
Get from time secs and nsecs
Python
0 vote331 views1 answer
Drop values based on type pandas
Python
7 votes305 views2 answers
Python prime check
Python
0 vote367 views1 answer
Matplotlib set dpi 300
Python
0 vote322 views1 answer
Show percentage in seaborn countplot site:stackoverflow.com
Python
0 vote311 views2 answers
Pandas groupby percentile
Python