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January 12, 2024 08:05
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See https://sfba.social/@drahardja/111741612198029604 and https://data.bls.gov/timeseries/JTS510000000000000LDL
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| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| plt.ion() | |
| # URL for the data | |
| url = "https://data.bls.gov/timeseries/JTS510000000000000LDL" | |
| # Creating a date range from 2001 to 2023 | |
| dates = pd.date_range(start='2001-01-01', end='2023-11-01', freq='MS') | |
| # Creating a mock-up data for 'Value' | |
| import numpy as np | |
| values = np.array([ | |
| 44, 43, 23, 55, 47, 52, 46, 48, 57, 55, 62, 54, 52, 31, 42, 62, 44, 47, 45, | |
| 41, 37, 40, 45, 38, 42, 47, 45, 36, 47, 47, 41, 42, 43, 37, 33, 43, 32, 35, | |
| 40, 33, 37, 44, 24, 25, 49, 31, 18, 19, 26, 15, 27, 21, 29, 21, 38, 38, 32, | |
| 26, 41, 28, 25, 48, 28, 41, 21, 23, 24, 28, 23, 31, 34, 33, 40, 45, 28, 26, | |
| 32, 26, 35, 43, 27, 21, 19, 22, 25, 22, 35, 28, 19, 37, 18, 20, 40, 52, 43, | |
| 42, 37, 38, 39, 47, 41, 37, 46, 34, 28, 40, 33, 45, 36, 23, 24, 23, 34, 24, | |
| 27, 26, 29, 22, 23, 30, 24, 21, 29, 20, 26, 25, 24, 20, 21, 21, 22, 26, 24, | |
| 29, 28, 26, 26, 20, 20, 38, 24, 18, 20, 20, 22, 24, 12, 26, 29, 42, 45, 58, | |
| 44, 43, 23, 43, 40, 55, 47, 39, 30, 28, 47, 26, 33, 40, 39, 32, 31, 27, 30, | |
| 36, 27, 30, 26, 26, 25, 30, 31, 22, 25, 30, 24, 31, 33, 26, 29, 27, 14, 20, | |
| 27, 21, 26, 25, 31, 28, 39, 38, 26, 32, 42, 41, 26, 43, 40, 37, 36, 35, 32, | |
| 37, 29, 36, 36, 23, 28, 39, 35, 38, 36, 37, 38, 29, 58, 38, 34, 37, 34, 51, | |
| 27, 33, 191, 169, 36, 35, 27, 29, 21, 32, 32, 30, 25, 27, 27, 23, 26, 31, | |
| 29, 30, 42, 31, 33, 36, 61, 11, 19, 28, 30, 32, 37, 59, 31, 47, 46, 46, 48, | |
| 49, 49, 14, 41, 26, 46, 28, 24, 15, 32 | |
| ]) | |
| # Creating the DataFrame | |
| data = pd.DataFrame({'Date': dates, 'Value': values}) | |
| # Preparing the data for the heatmap | |
| data['Year'] = data['Date'].dt.year | |
| data['Month'] = data['Date'].dt.month | |
| heatmap_data = data.pivot('Year', 'Month', 'Value') | |
| # Plotting the heatmap | |
| plt.figure(figsize=(12, 10)) | |
| sns.heatmap(heatmap_data, | |
| cmap="YlGnBu", | |
| annot=True, | |
| fmt=".0f", | |
| vmin=10, | |
| vmax=60) | |
| plt.title( | |
| "Information industry, layoffs and discharges: thousands (BLS: JTS510000000000000LDL)" | |
| ) | |
| plt.tight_layout() |
Author
fasiha
commented
Jan 12, 2024
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