Python中如何绘制折线图？

import matplotlib.pyplot as plt

# 准备数据
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

# 创建折线图
plt.plot(x, y, label='Linear Growth')

# 添加标题和标签
plt.title('Simple Line Plot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')

# 添加图例
plt.legend()

# 显示图形
plt.show()

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

# 使用红色虚线
plt.plot(x, y, color='red', linestyle='--', label='Red Dashed Line')

plt.title('Styled Line Plot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.legend()
plt.show()

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

plt.figure(figsize=(10, 6))  # 调整图形大小
plt.plot(x, y, label='Linear Growth')

plt.title('Large Line Plot', fontsize=20)
plt.xlabel('X-axis', fontsize=14)
plt.ylabel('Y-axis', fontsize=14)

plt.legend(fontsize=12)
plt.show()

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y1 = [2, 4, 6, 8, 10]
y2 = [1, 3, 5, 7, 9]

plt.plot(x, y1, label='Line 1')
plt.plot(x, y2, label='Line 2')

plt.title('Multiple Lines Plot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.legend()
plt.show()

import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from datetime import datetime, timedelta

# 创建日期范围
start_date = datetime(2023, 1, 1)
dates = [start_date + timedelta(days=i) for i in range(5)]
values = [10, 15, 20, 25, 30]

plt.figure(figsize=(10, 6))
plt.plot(dates, values, label='Time Series')

plt.title('Time Series Line Plot')
plt.xlabel('Date')
plt.ylabel('Value')

# 设置日期格式
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
plt.gca().xaxis.set_major_locator(mdates.DayLocator(interval=1))

plt.legend()
plt.gcf().autofmt_xdate()  # 自动调整日期标签的角度
plt.show()

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 1000)
y = np.sin(x)

plt.figure(figsize=(10, 6))
plt.plot(x, y, label='Sine Wave', marker='.', markersize=2, linestyle='None')

plt.title('Optimized Line Plot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.legend()
plt.show()