编写程序，导入鸢尾花数据，实现以下操作。（1）读入鸢尾花数据，并显示全部鸢尾花数据，然后分别显示花萼数据和花瓣数据（2）设计程序分别显示鸢尾花每个品种的花萼数据和花瓣数据（3）使用pandas、numpy、matplotlib实现每个种类鸢尾花的Sepal.Length折线图（4）使用pandas、numpy、matplotlib实现每个种类鸢尾花的Sepal.Width折线图（5）使用pandas、numpy、matplotlib实现每个种类鸢尾花的Petal.Length柱状图（6）使用pandas、numpy、matplotlib实现每个种类鸢尾花的Petal.Width柱状图注：导入鸢尾花数据后的DataFram包含5列：Sepal.Length, Sepal.Width, Petal.Length, Petal.Width, Speciessepal_length 花萼_长度，sepal_width 花萼_宽度，petal_length 花瓣_长度，petal_width 花瓣_宽度，species 种类

好的，以下是Python程序实现以上操作的代码：

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# 读入鸢尾花数据
iris_data = pd.read_csv('iris.csv')

# 显示全部鸢尾花数据
print(iris_data)

# 分别显示花萼数据和花瓣数据
sepal_data = iris_data[['sepal_length', 'sepal_width']]
print(sepal_data)
petal_data = iris_data[['petal_length', 'petal_width']]
print(petal_data)

# 分别显示每个品种的花萼数据和花瓣数据
setosa_data = iris_data[iris_data['species'] == 'setosa']
versicolor_data = iris_data[iris_data['species'] == 'versicolor']
virginica_data = iris_data[iris_data['species'] == 'virginica']

setosa_sepal_data = setosa_data[['sepal_length', 'sepal_width']]
setosa_petal_data = setosa_data[['petal_length', 'petal_width']]
print("Setosa Sepal Data:\n", setosa_sepal_data)
print("Setosa Petal Data:\n", setosa_petal_data)

versicolor_sepal_data = versicolor_data[['sepal_length', 'sepal_width']]
versicolor_petal_data = versicolor_data[['petal_length', 'petal_width']]
print("Versicolor Sepal Data:\n", versicolor_sepal_data)
print("Versicolor Petal Data:\n", versicolor_petal_data)

virginica_sepal_data = virginica_data[['sepal_length', 'sepal_width']]
virginica_petal_data = virginica_data[['petal_length', 'petal_width']]
print("Virginica Sepal Data:\n", virginica_sepal_data)
print("Virginica Petal Data:\n", virginica_petal_data)

# 绘制每个种类鸢尾花的Sepal.Length折线图
setosa_sepal_length = setosa_data['sepal_length']
versicolor_sepal_length = versicolor_data['sepal_length']
virginica_sepal_length = virginica_data['sepal_length']

plt.plot(setosa_sepal_length, label='Setosa')
plt.plot(versicolor_sepal_length, label='Versicolor')
plt.plot(virginica_sepal_length, label='Virginica')
plt.xlabel('Sample')
plt.ylabel('Sepal Length')
plt.title('Sepal Length of Different Iris Species')
plt.legend()
plt.show()

# 绘制每个种类鸢尾花的Sepal.Width折线图
setosa_sepal_width = setosa_data['sepal_width']
versicolor_sepal_width = versicolor_data['sepal_width']
virginica_sepal_width = virginica_data['sepal_width']

plt.plot(setosa_sepal_width, label='Setosa')
plt.plot(versicolor_sepal_width, label='Versicolor')
plt.plot(virginica_sepal_width, label='Virginica')
plt.xlabel('Sample')
plt.ylabel('Sepal Width')
plt.title('Sepal Width of Different Iris Species')
plt.legend()
plt.show()

# 绘制每个种类鸢尾花的Petal.Length柱状图
setosa_petal_length = setosa_data['petal_length']
versicolor_petal_length = versicolor_data['petal_length']
virginica_petal_length = virginica_data['petal_length']

plt.bar(['Setosa', 'Versicolor', 'Virginica'], [setosa_petal_length.mean(), versicolor_petal_length.mean(), virginica_petal_length.mean()])
plt.xlabel('Species')
plt.ylabel('Petal Length')
plt.title('Mean Petal Length of Different Iris Species')
plt.show()

# 绘制每个种类鸢尾花的Petal.Width柱状图
setosa_petal_width = setosa_data['petal_width']
versicolor_petal_width = versicolor_data['petal_width']
virginica_petal_width = virginica_data['petal_width']

plt.bar(['Setosa', 'Versicolor', 'Virginica'], [setosa_petal_width.mean(), versicolor_petal_width.mean(), virginica_petal_width.mean()])
plt.xlabel('Species')
plt.ylabel('Petal Width')
plt.title('Mean Petal Width of Different Iris Species')
plt.show()

注意，以上代码需要先下载并导入鸢尾花数据集`iris.csv`，代码中所需的列名已在注释中给出。对于折线图和柱状图的绘制，使用了`matplotlib`库。