import matplotlib.pyplot as plt
import numpy as np
# 生成數(shù)據(jù)
x = np.linspace(0, 10, 100)
y1 = np.sin(x)
y2 = np.cos(x)
# 創(chuàng)建一個繪圖窗口，大小為8x6英寸
plt.figure(figsize=(8, 6))
# 繪制折線圖
plt.plot(x, y1, label='sin(x)')
plt.plot(x, y2, label='cos(x)')
# 添加圖例，顯示在右上角
plt.legend(loc='upper right')
# 添加標題和軸標簽
plt.title('Sin and Cos functions')
plt.xlabel('x')
plt.ylabel('y')
# 顯示網(wǎng)格線
plt.grid(True)
# 保存圖像，支持多種格式，如PNG、PDF、SVG等
plt.savefig('line_plot.png', dpi=300)
# 顯示圖像
plt.show()

import matplotlib.pyplot as plt
import numpy as np
# 生成數(shù)據(jù)
x = ['A', 'B', 'C', 'D', 'E']
y1 = [3, 7, 2, 5, 9]
y2 = [5, 2, 6, 3, 1]
# 創(chuàng)建一個繪圖窗口，大小為8x6英寸
plt.figure(figsize=(8, 6))
# 繪制柱狀圖
plt.bar(x, y1, color='lightblue', label='Group 1')
plt.bar(x, y2, color='pink', bottom=y1, label='Group 2')
# 添加圖例，顯示在右上角
plt.legend(loc='upper right')
# 添加標題和軸標簽
plt.title('Bar Plot')
plt.xlabel('Category')
plt.ylabel('Value')
# 顯示圖像
plt.show()

import matplotlib.pyplot as plt
import numpy as np
# 生成隨機數(shù)據(jù)
np.random.seed(42)
data = np.random.normal(size=1000)
# 繪制直方圖
fig, ax = plt.subplots()
ax.hist(data, bins=30, density=True, alpha=0.5, color='blue')
# 設置圖表標題和坐標軸標簽
ax.set_title('Histogram of Random Data', fontsize=16)
ax.set_xlabel('Value', fontsize=14)
ax.set_ylabel('Frequency', fontsize=14)
# 設置坐標軸刻度標簽大小
ax.tick_params(axis='both', which='major', labelsize=12)
# 顯示圖表
plt.show()

import matplotlib.pyplot as plt
# 生成數(shù)據(jù)
labels = ['A', 'B', 'C', 'D']
sizes = [15, 30, 45, 10]
colors = ['red', 'green', 'blue', 'yellow']
# 繪制餅圖
fig, ax = plt.subplots()
ax.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', startangle=90)
# 設置圖表標題
ax.set_title('Pie Chart of Data', fontsize=16)
# 顯示圖表
plt.show()

import matplotlib.pyplot as plt
# 生成數(shù)據(jù)
data = [[3.4, 4.1, 3.8, 2.0], [2.3, 4.5, 1.2, 4.3]]
# 創(chuàng)建一個繪圖窗口，大小為8x6英寸
plt.figure(figsize=(8, 6))
# 繪制括線圖
bp = plt.boxplot(data, widths=0.5, patch_artist=True, notch=True)
# 設置每個箱線圖的顏色和填充
for patch, color in zip(bp['boxes'], ['lightblue', 'pink']):
    patch.set_facecolor(color)
# 添加標題和軸標簽
plt.title('Box Plot')
plt.xlabel('Group')
plt.ylabel('Data')
# 顯示圖像
plt.show()

import matplotlib.pyplot as plt
import numpy as np
# 生成數(shù)據(jù)
x = np.random.normal(size=100)
y = np.random.normal(size=100)
# 創(chuàng)建一個繪圖窗口，大小為8x6英寸
plt.figure(figsize=(8, 6))
# 繪制散點圖
plt.scatter(x, y, s=50, alpha=0.5)
# 添加標題和軸標簽
plt.title('Scatter Plot')
plt.xlabel('x')
plt.ylabel('y')
# 顯示圖像
plt.show()

import matplotlib.pyplot as plt
import numpy as np
# 生成隨機數(shù)據(jù)
np.random.seed(42)
data = np.random.normal(size=(100, 4), loc=0, scale=1.5)
# 繪制箱線圖
fig, ax = plt.subplots()
ax.boxplot(data, notch=True, sym='o', vert=True, whis=1.5)
# 設置圖表標題和坐標軸標簽
ax.set_title('Boxplot of Random Data', fontsize=16)
ax.set_xlabel('Variable', fontsize=14)
ax.set_ylabel('Value', fontsize=14)
# 設置坐標軸刻度標簽大小
ax.tick_params(axis='both', which='major', labelsize=12)
# 顯示圖表
plt.show()

import matplotlib.pyplot as plt
import numpy as np
# 生成隨機數(shù)據(jù)
np.random.seed(42)
data = np.random.normal(size=(10, 10), loc=0, scale=1)
# 繪制熱力圖
fig, ax = plt.subplots()
im = ax.imshow(data, cmap='YlOrRd')
# 添加顏色條
cbar = ax.figure.colorbar(im, ax=ax)
cbar.ax.set_ylabel('Values', rotation=-90, va='bottom')
# 添加軸標簽和標題
ax.set_xticks(np.arange(len(data)))
ax.set_yticks(np.arange(len(data)))
ax.set_xticklabels(np.arange(1, len(data)+1))
ax.set_yticklabels(np.arange(1, len(data)+1))
ax.set_title('Heatmap of Random Data', fontsize=16)
# 顯示圖表
plt.show()

import matplotlib.pyplot as plt
# 繪制樹狀圖
fig, ax = plt.subplots()
ax.barh('CEO', 1, color='black')
ax.barh('VP1', 0.8, left=1, color='gray')
ax.barh('VP2', 0.8, left=1, color='gray')
ax.barh('Manager1', 0.6, left=1.8, color='gray')
ax.barh('Manager2', 0.6, left=1.8, color='gray')
ax.barh('Manager3', 0.6, left=1.8, color='gray')
ax.barh('Supervisor1', 0.4, left=2.4, color='gray')
ax.barh('Supervisor2', 0.4, left=2.4, color='gray')
ax.barh('Supervisor3', 0.4, left=2.4, color='gray')
ax.barh('Staff1', 0.2, left=3.2, color='gray')
ax.barh('Staff2', 0.2, left=3.2, color='gray')
ax.barh('Staff3', 0.2, left=3.2, color='gray')
ax.barh('Staff4', 0.2, left=3.2, color='gray')
# 設置軸標簽和標題
ax.set_yticks([])
ax.set_xlim(0, 4)
ax.set_xlabel('Hierarchy', fontsize=14)
ax.set_title('Tree Diagram of Organization', fontsize=16)
# 顯示圖表
plt.show()