Jupyter-lab visualisation problem (Linegraph creates non-understandable lines)

import matplotlib.pyplot as plt

# Create a figure and axis
fig, ax = plt.subplots(figsize=(10, 6))

# Plot stock prices
ax.plot(tsla['Date'], tsla['Close'], color='blue', label='Stock Prices')

# Create a second y-axis
ax2 = ax.twinx()

# Plot sentiment scores
ax2.plot(tsla['Date'], tsla['sentiment_score'], color='red', label='Sentiment Scores')

# Set labels and titles
ax.set_xlabel('Date')
ax.set_ylabel('Stock Prices', color='blue')
ax2.set_ylabel('Sentiment Scores', color='red')
plt.title('Stock Prices and Sentiment Scores Over Time')

# Add legends
lines = ax.get_lines() + ax2.get_lines()
labels = [line.get_label() for line in lines]
plt.legend(lines, labels, loc='upper left')

# Rotate x-axis tick labels for better readability
plt.xticks(rotation=45)

# Show the plot
plt.show()

    # I did myself like this btw

import matplotlib.pyplot as plt

# Extract TSLA data
tsla_data = tsla.loc[tsla["Stock Name"] == "TSLA"]

# Plotting
fig, ax1 = plt.subplots(figsize=(10, 6))

# Plotting High
ax1.plot(tsla_data["Date"], tsla_data["High"], color='blue', label='High')
ax1.set_xlabel('Date')
ax1.set_ylabel('High', color='blue')
ax1.tick_params('y', colors='blue')

# Create a second y-axis for sentiment scores
ax2 = ax1.twinx()
ax2.plot(tsla_data["Date"], tsla_data["sentiment_score"], color='red', alpha=0.6, linestyle='--', label='Sentiment Score')
ax2.set_ylabel('Sentiment Score', color='red')
ax2.tick_params('y', colors='red')

# Set plot title
plt.title('TSLA High and Sentiment Score Over Time')

# Add legend
lines = ax1.get_lines() + ax2.get_lines()
ax1.legend(lines, [line.get_label() for line in lines], loc='upper left')

# Show the plot
plt.show()