csv viewer

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv("viral_load_data.csv")
df["date"] = pd.to_datetime(df["date"])

# ensure uniform spacing
df = df.sort_values("date")
df = df.set_index("date").asfreq("D").interpolate().reset_index()

plt.figure(figsize=(16, 6))
plt.plot(df["date"], df["value"])

plt.title("SARS-CoV-2 Viral Load Index")
plt.xlabel("Date")
plt.ylabel("Viral Load Index")

plt.ylim(0, 0.85)   # top bar

plt.grid(True)
plt.tight_layout()

plt.savefig("viral_load_chart.png", dpi=300)
plt.show()