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GameStop - Time Series Animation (python)
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| import json | |
| import datetime as dt | |
| import requests | |
| import matplotlib.pyplot as plt | |
| from matplotlib.animation import FuncAnimation | |
| import pandas as pd | |
| GIST_URL = "https://gist.githubusercontent.com/RHDZMOTA/db699a97eef5e77ca4d072a8ba1a7f48/raw/6d45c74d93a72a4e38fb8ad17dd8983e76e76109/gamestop-jan2021.json" | |
| # Get the data | |
| resp = requests.get(GIST_URL) | |
| gamestop = pd.DataFrame(resp.json()) | |
| gamestop = gamestop.assign(date_time=pd.to_datetime(gamestop.date_time)).query("date_time < '2021-01-30 00:00:00+0000'") | |
| gamestop.head() | |
| # Configuration | |
| fig, axes = plt.subplots(nrows=1, ncols=1) | |
| start_date_str = "2021-01-01" | |
| start_date = dt.datetime.strptime(start_date_str, "%Y-%m-%d") | |
| end_date = dt.datetime.strptime("2021-01-30", "%Y-%m-%d") | |
| # Get the new (max) date for each frame | |
| def frames(): | |
| dates = gamestop\ | |
| .query(f"date_time >= '{start_date_str} 00:00:00+0000'")\ | |
| .sort_values("date_time", ascending=True)\ | |
| .date_time.dt.strftime('%Y-%m-%d')\ | |
| .values | |
| max_date = max(dates) | |
| return (dt.datetime.strptime(date, "%Y-%m-%d") for date in list(dates) + 3*[max_date] ) | |
| # Update the plot with the new data. | |
| def update(reference_date): | |
| # Data subset | |
| reference_date_str = reference_date.strftime("%Y-%m-%d") | |
| subset = gamestop.set_index("date_time")[["open_price", "close_price", "min_price", "max_price"]]\ | |
| .query(f"'2020-09-01 00:00:00+0000' < date_time <= '{reference_date_str} 00:00:00+0000' and max_price > 0") | |
| # Plot values | |
| axes.clear() | |
| subset.plot.line(style='-', ax=axes) | |
| subset.query(f"date_time == '{reference_date_str} 00:00:00+0000'")\ | |
| .plot.line(style='.-', legend=False, marker='o', markerfacecolor='black', ax=axes) | |
| if max(subset.index).date() >= dt.datetime.strptime("2021-01-12", "%Y-%m-%d").date(): | |
| plt.vlines(x=f'2021-01-12 00:00:00+0000', ymin=0, ymax=max(subset.max_price), colors="k", linestyles="dashed", alpha=0.25) | |
| if max(subset.index).date() >= dt.datetime.strptime("2021-01-22", "%Y-%m-%d").date(): | |
| plt.vlines(x=f'2021-01-22 00:00:00+0000', ymin=0, ymax=max(subset.max_price), colors="k", linestyles="dashed", alpha=0.25) | |
| plt.title("Gamestop: Daily Stock Price") | |
| plt.ylabel("MXN ($)") | |
| plt.xlabel("Time") | |
| plt.grid() | |
| # Animation | |
| func_animation = FuncAnimation(fig=fig, func=update, frames=frames, interval=500) | |
| func_animation.save('gamestop_ts.gif', writer='pillow', bitrate=2250, dpi=300) |
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| "close_price": 203.0, | |
| "min_price": 203.0, | |
| "max_price": 220.0 | |
| } | |
| ] |
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