Why do my hover annotations have NaN instead of my values?

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: ${latest_price:.2f}"
box_props = dict(boxstyle='round', facecolor='white', edgecolor='black', alpha=0.8)
axes[0].text(0.02, 0.95, latest_price_text, transform=axes[0].transAxes, fontsize=12, verticalalignment='top', bbox=box_props)
# Define hover label format
hover_label_format = [
("Open: ", lambda x: f"${x:.2f}"),
("High: ", lambda x: f"${x:.2f}"),
("Low: ", lambda x: f"${x:.2f}"),
("Close: ", lambda x: f"${x:.2f}"),
("Volume: ", lambda x: f"{int(x):,}"),
]
# Function to create hover annotations
def hover_annotations(data):
annot = pd.DataFrame(index=data.index, columns=data.columns)
annot_visible = False
texts = []
def onmove(event):
nonlocal annot_visible
if event.inaxes == axes[0]:
index = int(event.xdata)
if index >= len(data.index):
return
values = data.iloc[index]
for label, formatter in hover_label_format:
value = values[label.rstrip(': ')]
if np.isnan(value):
annot.iloc[index][label.rstrip(': ')] = ""
else:
annot.iloc[index][label.rstrip(': ')] = f"{label}{formatter(value)}"
annot_visible = True
else:
annot_visible = False
for t, text, (x, y) in zip(texts, annot.values, zip([event.xdata] or [], [event.ydata] or [])):
if isinstance(x, (list, np.ndarray)):
x = x[0] if len(x) > 0 and not np.isnan(x[0]) else None
if isinstance(y, (list, np.ndarray)):
y = y[0] if len(y) > 0 and not np.isnan(y[0]) else None
if x is not None and y is not None:
t.set_position((x, y))
t.set_text('\n'.join(map(str, text)))
t.set_visible(annot_visible)
fig.canvas.draw_idle()
for _ in data.index:
t = axes[0].text(0, 0, '', visible=False, ha='left', va='top')
texts.append(t)
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()

If you run the code, instead of showing open high, low, close, and volume, its showing an error.

I've simplified your code a little bit. The following works for me:

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()

I don't know what the problem was, but I completely got rid of the array of texts and the DataFrame annot (but I reused the name annot for a single annotation, what you were previously calling t). I also got rid of all the looping through these things, and the complicated formatting lambdas which seemed to me very unneccessary. At any rate, the above works for me.