示例#1
0
class SexPercentPie(object):
    def __init__(self, friends, theme="red"):
        self.friends = friends
        self.pie = Pie("{}的微信好友性别占比".format(friends[0]["NickName"]))
        self.attr = ["男性好友", "女性好友", "其他"]

    def render(self):
        male = female = other = 0
        for i in self.friends[1:]:
            sex = i['Sex']
            if sex == 1:
                male += 1
            elif sex == 2:
                female += 1
            else:
                other += 1
        v1 = [male, female, other]
        self.pie.add("", self.attr, v1, is_label_show=True)
        self.pie.show_config()
        total = len(self.friends[1:])
        male_friend_percent = float(male) / total * 100
        female_friend_percent = float(female) / total * 100
        other_friend_percent = float(other) / total * 100
        print("好友总数:{}".format(total))
        print("男性好友:{:.2f},个数:{}".format(male_friend_percent, male))
        print("女性好友:{:.2f},个数:{}".format(female_friend_percent, female))
        print("其他:{:.2f},个数{}".format(other_friend_percent, other))
        image_path = "images/sexPercentPie.png"
        self.pie.render(image_path)
        return image_path
示例#2
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 def lookpie(self):
     # 获取表数据
     # 读取文件内容
     pi_table = pd.read_excel(path + '名片信息表.xlsx', sheet_name='data')
     # 获取城市信息
     citattr = pi_table['city'].values
     # 判断是否有城市信息
     if len(citattr) == 0:
         # 没有信息提示
         QMessageBox.information(self, '提示信息', '没有联系人')
         return
     attr = []
     v1 = []
     # 循环表里city项
     for i in citattr:
         # 判断city项是否包含在attr里
         if not i in attr:
             # 不包含在attr表里时候添加到attr里
             attr.append(i)
     # Counter(计数器)是对字典的补充,用于追踪值的出现次数。
     d = collections.Counter(citattr)
     # 循环城市列表
     for k in attr:
         # d[k] 是k在列表d中出现的次数
         v1.append(d[k])
     # 生成饼图
     pie = Pie("联系人分布")
     pie.add("", attr, v1, is_label_show=True)
     pie.show_config()
     pie.render(path + '联系人分布饼图.html')
     # 显示饼图
     htmlwidows.set('联系人分布', '联系人分布饼图.html')
     htmlwidows.show()
     pass
def pie_test(d, b):
    name = pd.Series(unique(d)).values
    g1 = b.groupby(d).sum().round(2).values
    value = pd.Series(g1).values
    pie = Pie("各品牌出库数据")
    pie.add("", name, value, is_label_show=True)
    pie.show_config()
    pie.render("E:\\py_data_html\\bar_test015_5.html")
    print("生成完成")
示例#4
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def data_visualization(login_success_value=0,
                       login_failure_value=0,
                       shiming_success_value=0,
                       shiming_failure_value=0,
                       fangyuan_success_value=0,
                       fangyuan_failure_value=0,
                       mensuo_success_value=0,
                       mensuo_failure_value=0):
    '''
    数据可视化,连环拼图
    :param login_success_value: 
    :param login_failure_value: 
    :param shiming_success_value: 
    :param shiming_failure_value: 
    :param fangyuan_success_value: 
    :param fangyuan_failure_value: 
    :param mensuo_success_value: 
    :param mensuo_failure_value: 
    :return: 
    '''

    pie = Pie('Results of each interface test',
              'Data to Jenkins',
              title_pos='center')
    style = Style()
    pie_style = style.add(label_pos="center",
                          is_label_show=True,
                          label_text_color='#6E6E6E')

    pie.add('', ['Login Success', 'Login Failure'],
            [login_success_value, login_failure_value],
            center=[10, 30],
            radius=[20, 30],
            **pie_style)

    pie.add('', ['ShiMing Success', 'ShiMing Failure'],
            [shiming_success_value, shiming_failure_value],
            center=[10, 80],
            radius=[20, 30],
            **pie_style)

    pie.add('', ['FangYuan Suceess', 'FangYuan Failure'],
            [fangyuan_success_value, fangyuan_failure_value],
            center=[40, 30],
            radius=[20, 30],
            **pie_style)

    pie.add('', ['MenSuo Success', 'MenSuo Failure'],
            [mensuo_success_value, mensuo_failure_value],
            center=[40, 80],
            radius=[20, 30],
            legend_top="center",
            **pie_style)

    pie.show_config()
    pie.render(filename)
def get_charts(x, y, label, type1):
    if type1 == 1:
        c = Pie("Pie")
    elif type1 == 2:
        c = Bar("Bar")
    elif type1 == 3:
        c = Line("各个法院的诉讼结果文档数目分析")
    c.add(label, x, y, is_more_utils=True)
    c.show_config()
    c.render("court_analysis_line.html")
    os.system("start firefox court_analysis_line.html")
示例#6
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    def pie_render(self, render_name, mothed_name, name, productid, projectid,
                   t_time):

        pie = Pie(render_name, is_animation=False)
        pie.add("",
                list(mothed_name(productid, projectid).keys()),
                list(mothed_name(productid, projectid).values()),
                is_label_show=True,
                is_toolbox_show=False)
        pie.show_config()
        pie.render(path=os.path.join(html_path, "%s_%s.html" % (name, t_time)))
示例#7
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def make_pie():
    from pyecharts import Pie
    attr = ['OPPO', '小米', '苹果', '华为', '中兴', '其他']
    iphone = [
        name['OPPO'], name['苹果'], name['小米'], name['华为'], name['其他'],
        name['中兴']
    ]
    pie = Pie('苏宁——智能手机')
    pie.add('手机品牌', attr, iphone, is_label_show=True)
    pie.show_config()
    pie.render(path='./suNing.html')
def get_charts(x,y,label,type1):
    if type1 == 1:
        c = Pie("Pie")
    elif type1 == 2:
        c = Bar("Bar")
    elif type1 == 3:
        c = Line("诉讼结果文档1945-2018趋势图")
    c.add(label,x,y,is_more_utils=True)
    c.show_config()
    c.render("year_analysis_line.html")
    os.system("start year_analysis_line.html")
def get_charts(x, y, label, type1):
    if type1 == 1:
        c = Pie("Pie")
    elif type1 == 2:
        c = Bar("Bar")
    elif type1 == 3:
        c = Line("Line")
    c.add(label, x, y, is_more_utils=True)
    c.show_config()
    c.render("name_analysis_line.html")
    os.system("start name_analysis_line.html")
示例#10
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def get_charts(x, y, label, type):
    if type == 1:
        c = Pie("饼状图")
    elif type == 2:
        c = Bar("条形图")
    elif type == 3:
        c = Line("折线图")
    c.add(label, x, y, is_more_utils=True)
    c.show_config()
    c.render()
    os.system(r"render.html")
示例#11
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def draw_pie_mulit():
    attr = ['A', 'B', 'C', 'D', 'E', 'F']
    pie = Pie("饼图示例", width=1000, height=600)
    pie.add("",
            attr, [random.randint(0, 100) for _ in range(6)],
            radius=[50, 55],
            center=[25, 50],
            is_random=True)
    pie.add("",
            attr, [random.randint(20, 100) for _ in range(6)],
            radius=[0, 45],
            center=[25, 50],
            rosetype='area')
    #pie.add("", attr, [random.randint(0, 100) for _ in range(6)], radius=[50, 55], center=[65, 50],is_random=True)
    #pie.add("", attr, [random.randint(20, 100) for _ in range(6)], radius=[0, 45], center=[65, 50],rosetype='radius')
    pie.show_config()
    pie.render()
示例#12
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def get_html():
    # encoding:utf-8
    '''
    add(name,attr,value,radius = None,center = None,rosetype = None,**kwargs)
    attr:属性名称
    radius:饼图半径,数组第一项是内径,第二项是外径,默认[0,75,],设置成百分比
    center:圆心,数组第一项是X轴,第二项是Y轴,默认[50,50]
    rosetype: 是否展示成南丁格尔图,用过半径区分数据大小,radius和area两种模式,默认radius'''

    pie1 = Pie('')  # 创建实例

    attr = []  #餐厅
    value1 = []  #次数

    pie1.add('', attr, value1, is_label_show=True)
    '''
    如果需要横向并列图 可在最后的add括号中添加 (---snip---,is_convert = True) 表示X 轴与 Y 轴交换
    '''
    pie1.show_config()  # 调试输出pyecharts的js配置信息

    pie1.render('饼图.html')
示例#13
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def test_pie():

    # pie_0
    attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
    v1 = [11, 12, 13, 10, 10, 10]
    pie = Pie("饼图示例")
    pie.add("", attr, v1, is_label_show=True)
    pie.show_config()
    pie.render()

    # pie_1
    attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
    v1 = [11, 12, 13, 10, 10, 10]
    pie = Pie("饼图-圆环图示例", title_pos='center')
    pie.add("",
            attr,
            v1,
            radius=[40, 75],
            label_text_color=None,
            is_label_show=True,
            legend_orient='vertical',
            legend_pos='left')
    pie.show_config()
    pie.render()

    # pie_2
    attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
    v1 = [11, 12, 13, 10, 10, 10]
    v2 = [19, 21, 32, 20, 20, 33]
    pie = Pie("饼图-玫瑰图示例", title_pos='center', width=900)
    pie.add("商品A",
            attr,
            v1,
            center=[25, 50],
            is_random=True,
            radius=[30, 75],
            rosetype='radius')
    pie.add("商品B",
            attr,
            v2,
            center=[75, 50],
            is_random=True,
            radius=[30, 75],
            rosetype='area',
            is_legend_show=False,
            is_label_show=True)
    pie.show_config()
    pie.render()

    # pie_3
    pie = Pie("饼图示例", title_pos='center', width=1000, height=600)
    pie.add("", ['A', 'B', 'C', 'D', 'E', 'F'], [335, 321, 234, 135, 251, 148],
            radius=[40, 55],
            is_label_show=True)
    pie.add("", ['H', 'I', 'J'], [335, 679, 204],
            radius=[0, 30],
            legend_orient='vertical',
            legend_pos='left')
    pie.show_config()
    pie.render()

    # pie_4
    import random
    attr = ['A', 'B', 'C', 'D', 'E', 'F']
    pie = Pie("饼图示例", width=1000, height=600)
    pie.add("",
            attr, [random.randint(0, 100) for _ in range(6)],
            radius=[50, 55],
            center=[25, 50],
            is_random=True)
    pie.add("",
            attr, [random.randint(20, 100) for _ in range(6)],
            radius=[0, 45],
            center=[25, 50],
            rosetype='area')
    pie.add("",
            attr, [random.randint(0, 100) for _ in range(6)],
            radius=[50, 55],
            center=[65, 50],
            is_random=True)
    pie.add("",
            attr, [random.randint(20, 100) for _ in range(6)],
            radius=[0, 45],
            center=[65, 50],
            rosetype='radius')
    pie.show_config()
    pie.render()

    # Pie_5
    pie = Pie('各类电影中"好片"所占的比例', "数据来着豆瓣", title_pos='center')
    pie.add(
        "",
        ["剧情", ""],
        [25, 75],
        center=[10, 30],
        radius=[18, 24],
        label_pos='center',
        is_label_show=True,
        label_text_color=None,
    )
    pie.add("", ["奇幻", ""], [24, 76],
            center=[30, 30],
            radius=[18, 24],
            label_pos='center',
            is_label_show=True,
            label_text_color=None,
            legend_pos='left')
    pie.add("", ["爱情", ""], [14, 86],
            center=[50, 30],
            radius=[18, 24],
            label_pos='center',
            is_label_show=True,
            label_text_color=None)
    pie.add("", ["惊悚", ""], [11, 89],
            center=[70, 30],
            radius=[18, 24],
            label_pos='center',
            is_label_show=True,
            label_text_color=None)
    pie.add("", ["冒险", ""], [27, 73],
            center=[90, 30],
            radius=[18, 24],
            label_pos='center',
            is_label_show=True,
            label_text_color=None)
    pie.add("", ["动作", ""], [15, 85],
            center=[10, 70],
            radius=[18, 24],
            label_pos='center',
            is_label_show=True,
            label_text_color=None)
    pie.add("", ["喜剧", ""], [54, 46],
            center=[30, 70],
            radius=[18, 24],
            label_pos='center',
            is_label_show=True,
            label_text_color=None)
    pie.add("", ["科幻", ""], [26, 74],
            center=[50, 70],
            radius=[18, 24],
            label_pos='center',
            is_label_show=True,
            label_text_color=None)
    pie.add("", ["悬疑", ""], [25, 75],
            center=[70, 70],
            radius=[18, 24],
            label_pos='center',
            is_label_show=True,
            label_text_color=None)
    pie.add("", ["犯罪", ""], [28, 72],
            center=[90, 70],
            radius=[18, 24],
            label_pos='center',
            is_label_show=True,
            label_text_color=None,
            is_legend_show=True,
            legend_top="center")
    pie.show_config()
    pie.render()
示例#14
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        label_pos='center',
        is_label_show=True,
        label_text_color=None)
pie.add("", ["喜剧", ""], [54, 46],
        center=[30, 70],
        radius=[18, 24],
        label_pos='center',
        is_label_show=True,
        label_text_color=None)
pie.add("", ["科幻", ""], [26, 74],
        center=[50, 70],
        radius=[18, 24],
        label_pos='center',
        is_label_show=True,
        label_text_color=None)
pie.add("", ["悬疑", ""], [25, 75],
        center=[70, 70],
        radius=[18, 24],
        label_pos='center',
        is_label_show=True,
        label_text_color=None)
pie.add("", ["犯罪", ""], [28, 72],
        center=[90, 70],
        radius=[18, 24],
        label_pos='center',
        is_label_show=True,
        label_text_color=None,
        is_legend_show=True,
        legend_top="center")
pie.show_config()
pie.render(path='./data/01-多个饼图.html')
示例#15
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# bar.use_theme('dark')
X_AXIS = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
bar.add("商家A", X_AXIS, [random.randint(10, 100) for _ in range(6)])
bar.add("商家B", X_AXIS, [random.randint(10, 100) for _ in range(6)])
bar.add("商家C", X_AXIS, [random.randint(10, 100) for _ in range(6)])
bar.add("商家D", X_AXIS, [random.randint(10, 100) for _ in range(6)])
bar.render('./文件/案例2_柱形图dark.html')

# 饼图Pie
from pyecharts import Pie
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [11, 12, 13, 10, 10, 10]
pie = Pie("饼图示例")  #新建饼图示例pie

pie.add("", attr, v1, is_label_show=True)
pie.show_config()  #是否在命令行中显示config,此行可省略
pie.render("./文件/案例2_普通饼图示例.html")

# 玫瑰饼图
from pyecharts import Pie
attr = ['衬衣', '羊毛衫', '雪纺衫', '裤子', '高跟鞋', '袜子']
v1 = [5, 9, 22, 6, 9, 30]
v2 = [5, 9, 22, 6, 9, 30]
pie = Pie('饼图-玫瑰图示例', title_pos='right', width=1200, height=700)
#pie.use_theme('vintage')
# add()
# center为调整饼图圆心坐标
# is_random为是否随即排列颜色列表(bool)
# radius为半径,第一个为内半径,第二个是外半径
# rosetype为是否展示成南丁格尔图:'radius' 圆心角展现数据半分比,半径展现数据大小;'area'圆心角相同,为通过半径展现数据大小(默认)
# label_text_size为调整标签字体大小
def create_sex(FSex):
    sex = dict()
    # 4.1提取好友性别信息,从1开始,因为第0个是自己
    for f in FSex[1:]:
        if f == 1:  # 男
            sex["man"] = sex.get("man", 0) + 1
        elif f == 2:  # 女
            sex["women"] = sex.get("women", 0) + 1
        else:  # 未知
            sex["unknown"] = sex.get("unknown", 0) + 1

    # 在屏幕上打印出来
    total = len(friends[1:])

    # 4.2打印出自己的好友性别比例
    print("男性好友: %.2f%%" % (float(sex["man"]) / total * 100) + "n" +
          "女性好友: %.2f%%" % (float(sex["women"]) / total * 100) + "n" +
          " 不明性别好友: %.2f%%" % (float(sex["unknown"]) / total * 100))

    # 4.3柱状图展示好友比例
    for i, key in enumerate(sex):
        plt.bar(key, sex[key])
    plt.savefig("getsex.png")  # 保存图片
    plt.ion()
    plt.pause(5)
    plt.close()  # 图片显示5s,之后关闭

    # 4.4用饼装图显示好友比例

    # ----------设置中文显示-----------------
    mpl.rcParams['font.sans-serif'] = ['SimHei']
    font_size = 11  # 字体大小

    # 更新字体大小
    mpl.rcParams['font.size'] = font_size

    # 调节图形大小,宽,高
    plt.figure(figsize=(6, 9))

    # 定义饼状图的标签,标签是列表
    labels = [u'男性好友', u'女性好友', u'性别不明']

    # 每个标签占多大,会自动去算百分比
    sizes = [sex["man"], sex["women"], sex["unknown"]]
    colors = ['red', 'yellowgreen', 'lightskyblue']

    # 将某部分爆炸出来, 使用括号,将第一块分割出来,数值的大小是分割出来的与其他两块的间隙
    explode = (0.05, 0, 0)
    patches, l_text, p_text = plt.pie(sizes,
                                      explode=explode,
                                      labels=labels,
                                      colors=colors,
                                      labeldistance=1.1,
                                      autopct='%3.1f%%',
                                      shadow=False,
                                      startangle=90,
                                      pctdistance=0.6)
    for t in l_text:
        t.set_size(30)
    for t in p_text:
        t.set_size(20)

    # 设置x,y轴刻度一致,这样饼图才能是圆的
    plt.axis('equal')
    plt.legend()
    plt.show()

    # 4.5使用echarts饼状图
    attr = ['帅哥', '美女', '未知']
    value = [sex["man"], sex["women"], sex["unknown"]]
    pie = Pie('好友性别比例', '好友总人数:%d' % len(friends), title_pos='center')
    pie.add('',
            attr,
            value,
            radius=[30, 75],
            rosetype='area',
            is_label_show=True,
            is_legend_show=True,
            legend_top='bottom')
    pie.show_config()
    pie.render('好友性别比例.html')
示例#17
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from pyecharts import Pie

bar = Pie("我的第一个图表", "这里是副标题")
bar.add("服装", ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"], [5, 20, 36, 10, 75, 90])

bar.show_config()
bar.render("pie.html")
示例#18
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def test_pie():

    # pie_0
    attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
    v1 = [11, 12, 13, 10, 10, 10]
    pie = Pie("饼图示例")
    pie.add("", attr, v1, is_label_show=True)
    pie.show_config()
    pie.render()

    # pie_1
    attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
    v1 = [11, 12, 13, 10, 10, 10]
    pie = Pie("饼图-圆环图示例", title_pos='center')
    pie.add("", attr, v1, radius=[40, 75], label_text_color=None, is_label_show=True, legend_orient='vertical',
            legend_pos='left')
    pie.show_config()
    pie.render()

    # pie_2
    attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
    v1 = [11, 12, 13, 10, 10, 10]
    v2 = [19, 21, 32, 20, 20, 33]
    pie = Pie("饼图-玫瑰图示例", title_pos='center', width=900)
    pie.add("商品A", attr, v1, center=[25, 50], is_random=True, radius=[30, 75], rosetype='radius')
    pie.add("商品B", attr, v2, center=[75, 50], is_random=True, radius=[30, 75], rosetype='area', is_legend_show=False,
            is_label_show=True)
    pie.show_config()
    pie.render()

    # pie_3
    pie = Pie("饼图示例", title_pos='center', width=1000, height=600)
    pie.add("", ['A', 'B', 'C', 'D', 'E', 'F'], [335, 321, 234, 135, 251, 148], radius=[40, 55], is_label_show=True)
    pie.add("", ['H', 'I', 'J'], [335, 679, 204], radius=[0, 30], legend_orient='vertical', legend_pos='left')
    pie.show_config()
    pie.render()

    # pie_4
    import random
    attr = ['A', 'B', 'C', 'D', 'E', 'F']
    pie = Pie("饼图示例", width=1000, height=600)
    pie.add("", attr, [random.randint(0, 100) for _ in range(6)], radius=[50, 55], center=[25, 50], is_random=True)
    pie.add("", attr, [random.randint(20, 100) for _ in range(6)], radius=[0, 45], center=[25, 50], rosetype='area')
    pie.add("", attr, [random.randint(0, 100) for _ in range(6)], radius=[50, 55], center=[65, 50], is_random=True)
    pie.add("", attr, [random.randint(20, 100) for _ in range(6)], radius=[0, 45], center=[65, 50], rosetype='radius')
    pie.show_config()
    pie.render()

    # Pie_5
    pie = Pie('各类电影中"好片"所占的比例', "数据来着豆瓣", title_pos='center')
    pie.add("", ["剧情", ""], [25, 75], center=[10, 30], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None, )
    pie.add("", ["奇幻", ""], [24, 76], center=[30, 30], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None, legend_pos='left')
    pie.add("", ["爱情", ""], [14, 86], center=[50, 30], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None)
    pie.add("", ["惊悚", ""], [11, 89], center=[70, 30], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None)
    pie.add("", ["冒险", ""], [27, 73], center=[90, 30], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None)
    pie.add("", ["动作", ""], [15, 85], center=[10, 70], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None)
    pie.add("", ["喜剧", ""], [54, 46], center=[30, 70], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None)
    pie.add("", ["科幻", ""], [26, 74], center=[50, 70], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None)
    pie.add("", ["悬疑", ""], [25, 75], center=[70, 70], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None)
    pie.add("", ["犯罪", ""], [28, 72], center=[90, 70], radius=[18, 24],
            label_pos='center', is_label_show=True, label_text_color=None, is_legend_show=True, legend_top="center")
    pie.show_config()
    pie.render()