第1关：画图接口

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import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def student(x,y):
    # ********** Begin *********#
    fig = plt.figure(figsize=(10,10))
    plt.savefig("Task1/image1/T2.png")
    plt.show()
    # ********** End *********#

第2关：线形图

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import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt


def student(input_data,input_data1):

    # ********* Begin *********#
    fig = plt.figure(figsize=(10,10))
    plt.plot(input_data,'--g')
    plt.plot(input_data1,':r')
    plt.legend(['L1','L2'])
    plt.savefig("Task2/img/T1.png")
    plt.show()
    # ********* End *********#

第3关：散点图

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import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
plt.style.use('seaborn-whitegrid')
import numpy as np

def student(x,y,x2,y2,x3,y3,area):
    '''
    根据输入的三组数据绘制三组不同参数的散点图
    :param x,y: 第一组数据，类型为array
    :param x2,y2: 第二组数据，类型为array
    :param x3,y3: 第三组数据，类型为array
    :param area: 标记大小参数的值，类型为array
    :return: None
    '''
    # ********* Begin *********#
    fig = plt.figure(figsize=(10,10))
    plt.scatter(x,y,s = area, alpha = 0.5)
    plt.scatter(x2,y2,s = area, c = 'g', alpha = 0.6)
    plt.scatter(x3,y3,s = area, marker = 'v', alpha = 0.7)
    plt.savefig("Task3/img/T1.png")
    plt.show()
    # ********* End *********#

第4关：直方图

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import matplotlib
matplotlib.use("Agg")
import numpy as np
import matplotlib.pyplot as plt



def student(data,x,y):
    '''
    根据输入数据将直方图与线形图绘制在同一面板中，并设置直方图为红色，线形图为蓝色
    :param data: 绘制直方图数据，类型为list
    :param x,y: 绘制线形图数据，类型为list

    :return: None
    '''
    # ********* Begin *********#
    fig = plt.figure(figsize=(10,10))
    plt.hist(data,facecolor="red")
    plt.plot(x,y,color="blue")
    plt.savefig("Task4/img/T1.png")
    plt.show()
    # ********* End *********#

第5关：饼图

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import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy as np

def student(labels,quants):
    # ********* Begin *********#
    fig=plt.figure(figsize=(6,6))
    sizes = quants
    plt.pie(sizes,labels=labels,explode=(0,0.1,0,0,0,0,0,0,0,0),autopct='%1.1f%%')
    plt.savefig("Task5/img/T1.png")
    plt.show()
    # ********* End *********#