pycharts组合图表

组合图表

Timeline-时间轴

# 示例数据
begin = datetime.date(2020, 4, 1)
end = datetime.date(2020, 4, 20)

cate = ['Apple', 'Huawei', 'MI', 'Oppo', 'Vivo', 'Samsung']

# 随机生成数据的方法


def random_data(n): return [random.randint(100, 200) for i in range(n)]


# 新建一个timeline对象
tl = Timeline()
tl.add_schema()

for i in range((end - begin).days + 1):
    day = begin + datetime.timedelta(days=i)

    bar = (Bar()
           .add_xaxis(cate)
           .add_yaxis('电商渠道', random_data(len(cate)))
           )

    tl.add(bar, day)

tl.render_notebook()

Tab-选项卡

# 选项卡
cate = ['Apple', 'Huawei', 'MI', 'Oppo', 'Vivo', 'Samsung']

# 时间范围
begin = datetime.date(2020, 4, 1)
end = datetime.date(2020, 4, 20)
date_list = [str(begin + datetime.timedelta(days=i))
             for i in range((end - begin).days + 1)]

# 随机生成数据的方法


def random_data(n): return [random.randint(0, 100) for i in range(n)]



# 新建一个tab对象
tab = Tab()

for c in cate:
    day = begin + datetime.timedelta(days=i)

    line = (Line()
            .add_xaxis(date_list)
            .add_yaxis('', random_data(len(date_list)))
            )

    tab.add(line, c)

tab.render_notebook()

Page-顺序多图

# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data = [123, 153, 89, 107, 98, 23]


bar = (Bar()
       .add_xaxis(x_data)
       .add_yaxis('', y_data)
       )

line = (Line()
        .add_xaxis(x_data)
        .add_yaxis('', y_data)
        )

page = Page()
page.add(bar, line)
page.render_notebook()

Grid-并行多图

# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data = [123, 153, 89, 107, 98, 23]


bar = (Bar()
       .add_xaxis(x_data)
       .add_yaxis('', y_data)
       )

line = (Line()
        .add_xaxis(x_data)
        .add_yaxis('', y_data)
        )

grid = (Grid()
        .add(bar,grid_opts=opts.GridOpts(pos_bottom="65%", pos_left="50%"))
        .add(line,grid_opts=opts.GridOpts(pos_left="15%"))
        )
grid.render_notebook()