PCA Index Dashboard Examples

PCA Index Dashboard Examples#

import pull_fred
import pandas as pd
import plotly.express as px

import pca_index
from settings import config

DATA_DIR = config("DATA_DIR")

import warnings

warnings.filterwarnings("ignore")
now = pd.Timestamp.utcnow()
# convert now to central time
print(f"This script was last run at {now} (UTC)")
print(f"In US/Central Time, this is {now.tz_convert('US/Central')}")
This script was last run at 2025-04-01 10:01:57.164145+00:00 (UTC)
In US/Central Time, this is 2025-04-01 05:01:57.164145-05:00
df = pull_fred.load_fred(data_dir=DATA_DIR)
dfn = pca_index.transform_series(df)
## Visualize Principal Component 1
pc1, loadings = pca_index.pca(dfn, module="scikitlearn")
pc1.plot();
../_images/6f588debfbc81a134d64245b080dd9396f2df276eaa31937ef4a50ffec030aae.png
# Simple version
fig = px.line(pc1)
fig.show()
# Using slider and quick views
fig = pca_index.pc1_line_plot(pc1)
fig.show()
## Visualize normalized and raw series
dfn.plot(subplots=True, figsize=(10, 10));
../_images/d53f3e62712f084ba3af33a5c89baac4c7f2a6c4647ea86fe4f4a935fc39cc2e.png
fig = px.line(dfn, facet_col="variable", facet_col_wrap=1)
fig.update_yaxes(matches=None)
fig.show()
fig = pca_index.plot_unnormalized_series(df)
fig.show()
fig = pca_index.plot_normalized_series(dfn)
fig.show()