求助：Sense Hat温度传感器数据与Matplotlib绘图代码整合问题

Hey there! Let's work through this together—combining your Sense Hat temperature collection with Matplotlib plotting is totally manageable, and the issue is likely just a small misstep in how you're moving data between the two parts.

First, let's cover the most common reasons you might be hitting errors when passing your temperature list to the y-axis:

• Incorrect data type: If your temperature readings are stored as strings instead of numbers (floats/integers), Matplotlib can't plot them.
• Scope/timing issues: Your temperature list might be empty or out of scope when you try to plot it, or you're trying to plot before the data is fully collected.
• Misplaced plotting code: If you're trying to plot every single reading inside the collection loop instead of waiting to gather all data first, that can cause unexpected behavior.

Here's a complete, tested integrated example that should solve the problem:

from sense_hat import SenseHat
import matplotlib.pyplot as plt
import time

# Initialize the Sense Hat
sense = SenseHat()

# Set up empty lists to store our data
temperature_readings = []
time_points = []

# Configure data collection parameters
total_readings = 25
seconds_between_readings = 1

# Collect temperature data
for reading_num in range(total_readings):
    # Grab the temperature (ensure it's a numeric value)
    current_temp = round(sense.get_temperature(), 2)
    temperature_readings.append(current_temp)
    # Track time for the x-axis (use index * interval for simplicity)
    time_points.append(reading_num * seconds_between_readings)
    
    print(f"Reading {reading_num + 1}: {current_temp}°C")
    time.sleep(seconds_between_readings)

# Now plot the full dataset
plt.figure(figsize=(10, 6))
plt.plot(time_points, temperature_readings, marker='o', linestyle='-', color='orange')
plt.title('Sense Hat Temperature Over Time')
plt.xlabel('Time (Seconds)')
plt.ylabel('Temperature (°C)')
plt.grid(True)
plt.show()

Critical Tips to Avoid Errors: #

• Validate your data: Before plotting, add print(temperature_readings) to confirm your list has valid numbers. If it's empty or has non-numeric entries, that's your root cause.
• Separate collection and plotting: Gather all your data first in the loop, then run the plotting code once afterward. This ensures you're working with a complete, populated list.
• Explicitly handle data types: While sense.get_temperature() returns a float by default, rounding or converting it explicitly (like float(sense.get_temperature())) prevents any accidental type mismatches.

If you're still getting a specific error message, share it and we can dig deeper!

内容的提问来源于stack exchange，提问作者user8868975