From b0294dbaaae0de2da2e166200e54798cee8387d0 Mon Sep 17 00:00:00 2001
From: Daniel Goldfarb <dgoldfarb.github@gmail.com>
Date: Fri, 16 Jun 2023 16:38:54 -0400
Subject: [PATCH] stackoverflow 76486448 hover prices annotation

---
 examples/scratch_pad/so76486448_hover.py | 113 +++++++++++++++++++++++
 1 file changed, 113 insertions(+)
 create mode 100644 examples/scratch_pad/so76486448_hover.py

diff --git a/examples/scratch_pad/so76486448_hover.py b/examples/scratch_pad/so76486448_hover.py
new file mode 100644
index 00000000..8271a92f
--- /dev/null
+++ b/examples/scratch_pad/so76486448_hover.py
@@ -0,0 +1,113 @@
+import yfinance as yf
+import mplfinance as mpf
+import matplotlib.pyplot as plt
+import matplotlib.patches as mpatches
+import pandas as pd
+import numpy as np
+
+# Dates to get stock data
+start_date = "2020-01-01"
+end_date = "2023-06-15"
+
+# Fetch Tesla stock data
+tesla_data = yf.download("TSLA", start=start_date, end=end_date)
+tesla_weekly_data = tesla_data.resample("W").agg(
+        {"Open": "first", "High": "max", "Low": "min", "Close": "last", "Volume": "sum"}
+    ).dropna()
+
+# Get the latest closing price
+latest_price = tesla_weekly_data['Close'][-1]
+
+# Create additional plot
+close_price = tesla_weekly_data['Close']
+apd = mpf.make_addplot(close_price, color='cyan', width=2)
+
+# Plot the candlestick chart
+fig, axes = mpf.plot(tesla_weekly_data,
+                     type='candle',
+                     addplot=apd,
+                     style='yahoo',
+                     title='Tesla Stock Prices',
+                     ylabel='Price',
+                     xlabel='Date',
+                     volume=True,
+                     ylabel_lower='Volume',
+                     volume_panel=1,
+                     figsize=(16, 8),
+                     returnfig=True
+                     )
+
+# Move the y-axis labels to the left side
+axes[0].yaxis.tick_left()
+axes[1].yaxis.tick_left()
+
+# Adjust the position of the y-axis label for price
+axes[0].yaxis.set_label_coords(-0.08, 0.5)
+
+# Adjust the position of the y-axis label for volume
+axes[1].yaxis.set_label_coords(-0.08, 0.5)
+
+# Set y-axis label for price and volume
+axes[0].set_ylabel('Price', rotation=0, labelpad=20)
+axes[1].set_ylabel('Volume', rotation=0, labelpad=20)
+
+# Make the legend box
+handles = axes[0].get_legend_handles_labels()[0]
+red_patch = mpatches.Patch(color='red')
+green_patch = mpatches.Patch(color='green')
+cyan_patch = mpatches.Patch(color='cyan')
+handles = handles[:2] + [red_patch, green_patch, cyan_patch]
+labels = ["Price Up", "Price Down", "Closing Price"]
+axes[0].legend(handles=handles, labels=labels)
+
+# Add a box to display the current price
+latest_price_text = f"Current Price: ${latest_price:.2f}"
+box_props = dict(boxstyle='round', facecolor='white', edgecolor='black', alpha=0.8)
+axes[0].text(0.02, 0.95, latest_price_text, transform=axes[0].transAxes,
+             fontsize=12, verticalalignment='top', bbox=box_props)
+
+# Function to create hover annotations
+def hover_annotations(data):
+
+    annot_visible = False
+    annot = axes[0].text(0, 0, '', visible=False, ha='left', va='top')
+
+    def onmove(event):
+        nonlocal annot_visible
+        nonlocal annot
+
+        if event.inaxes == axes[0]:
+            index = int(event.xdata)
+            if index >= len(data.index):
+                index = -1
+            elif index < 0:
+                index = 0
+            values = data.iloc[index]
+            mytext = (f"{values.name.date().strftime('%m/%d/%Y'):}\n"+
+                      f"O: {values['Open']:.2f}\n"+
+                      f"H: {values['High']:.2f}\n"+
+                      f"L: {values['Low']:.2f}\n"+
+                      f"C: {values['Close']:.2f}\n"+
+                      f"V: {values['Volume']:.0f}"
+                     )
+
+            annot_visible = True
+        else:
+            mytext = ''
+            annot_visible = False
+
+        annot.set_position((event.xdata,event.ydata))
+        annot.set_text(mytext)
+        annot.set_visible(annot_visible)
+        fig.canvas.draw_idle()
+
+    fig.canvas.mpl_connect('motion_notify_event', onmove)
+
+    return annot
+
+
+# Attach hover annotations to the plot
+annotations = hover_annotations(tesla_weekly_data)
+
+# Display the chart
+plt.show()