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import numpy as np
import matplotlib.pyplot as plt

# People (first name, birth year)
people = [
    ("Neil", 1945),
    ("Paul", 1956),
    ("Angus", 1955),
    ("Sean", 1959),
    ("Esme", 1949),

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#!/usr/bin/env python3
"""
Simple script to plot actual solar generation observations with projection lines.
"""
import pandas as pd
import matplotlib.pyplot as plt
from pathlib import Path


def plot_actual_solar_with_projections():

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import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.patches import Patch
import datetime

# data from https://www.bls.gov/news.release/empsit.nr0.htm
excel_file = '/content/cesvin00.xlsx'
df_data    = pd.read_excel(excel_file, sheet_name='Data', header=2)

# Reference‐months

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# 1) find every record‐breaking year ≥ 1980
post80 = ts.where(ts.index >= 1980)
current_max = -np.inf
record_years = []
record_values = []

for yr, val in post80.items():
    if np.isnan(val):
        continue
    if val >= current_max:

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# Google API Key (required)
GOOGLE_API_KEY=

# Couchbase Capella Configuration (required)
COUCHBASE_CONN_STR=couchbases://cb....
COUCHBASE_USERNAME=...
COUCHBASE_PASSWORD=...
COUCHBASE_BUCKET=travel-sample

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