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from io import BytesIO
from fpdf import FPDF
import pandas as pd
import matplotlib.pyplot as plt
import io
DATA = {
"Unemployment_Rate": [6.1, 5.8, 5.7, 5.7, 5.8, 5.6, 5.5, 5.3, 5.2, 5.2],
"Stock_Index_Price": [1500, 1520, 1525, 1523, 1515, 1540, 1545, 1560, 1555, 1565],
}
COLUMNS = tuple(DATA.keys())
plt.figure() # Create a new figure object
df = pd.DataFrame(DATA, columns=COLUMNS)
df.plot(x=COLUMNS[0], y=COLUMNS[1], kind="scatter")
# Converting Figure to an image:
img_buf = BytesIO() # Create image object
plt.savefig(img_buf, dpi=200) # Save the image
pdf = FPDF()
pdf.add_page()
pdf.image(img_buf, w=pdf.epw) # Make the image full width
pdf.output("matplotlib_pandas.pdf")
img_buf.close()
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