Python Line.add方法代码示例

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_line_negative_value():
    line = Line("折线图示例")
    line.add("最高气温", WEEK, [11, 11, 15, 13, 12, 13, 10],
             mark_point=["max", "min"], mark_line=["average"])
    line.add("最低气温", WEEK, [1, -2, 2, 5, 3, 2, 0],
             mark_point=["max", "min"], mark_line=["average"])
    line.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_grid_add_overlap():
    from pyecharts import Overlap

    grid = Grid()

    attr = ["{}月".format(i) for i in range(1, 13)]
    v1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
    v2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
    v3 = [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]

    bar = Bar("Overlap+Grid 示例", width=1200, height=600, title_pos="40%")
    bar.add("蒸发量", attr, v1)
    bar.add(
        "降水量",
        attr,
        v2,
        yaxis_formatter=" ml",
        yaxis_max=250,
        legend_pos="85%",
        legend_orient="vertical",
        legend_top="45%",
    )

    line = Line()
    line.add("平均温度", attr, v3, yaxis_formatter=" °C")

    overlap = Overlap()
    overlap.add(bar)
    overlap.add(line, is_add_yaxis=True, yaxis_index=1)

    grid.add(overlap, grid_right="20%")
    grid.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_grid_inverse_yaxis():
    attr = ["{}天".format(i) for i in range(1, 31)]
    line_top = Line("折线图示例", width=1200, height=700)
    line_top.add(
        "最高气温",
        attr,
        [random.randint(20, 100) for i in range(30)],
        mark_point=["max", "min"],
        mark_line=["average"],
        legend_pos="38%",
    )
    line_bottom = Line()
    line_bottom.add(
        "最低气温",
        attr,
        [random.randint(20, 100) for i in range(30)],
        mark_point=["max", "min"],
        mark_line=["average"],
        is_yaxis_inverse=True,
        xaxis_pos="top",
    )
    grid = Grid()
    grid.add(line_top, grid_bottom="60%")
    grid.add(line_bottom, grid_top="50%")
    grid.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_grid_line_pie():
    line = Line("折线图示例", width=1200)
    line.add(
        "最高气温",
        WEEK,
        [11, 11, 15, 13, 12, 13, 10],
        mark_point=["max", "min"],
        mark_line=["average"],
    )
    line.add(
        "最低气温",
        WEEK,
        [1, -2, 2, 5, 3, 2, 0],
        mark_point=["max", "min"],
        mark_line=["average"],
        legend_pos="20%",
    )
    v1 = [11, 12, 13, 10, 10, 10]
    pie = Pie("饼图示例", title_pos="55%")
    pie.add(
        "",
        CLOTHES,
        v1,
        radius=[45, 65],
        center=[65, 50],
        legend_pos="80%",
        legend_orient="vertical",
    )

    grid = Grid()
    grid.add(line, grid_right="55%")
    grid.add(pie, grid_left="60%")
    grid.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_grid_four_direction():
    v1 = [5, 20, 36, 10, 75, 90]
    v2 = [10, 25, 8, 60, 20, 80]
    bar = Bar("柱状图示例", height=720, width=1200, title_pos="65%")
    bar.add("商家A", CLOTHES, v1, is_stack=True)
    bar.add("商家B", CLOTHES, v2, is_stack=True, legend_pos="80%")
    line = Line("折线图示例")
    line.add("最高气温", WEEK, [11, 11, 15, 13, 12, 13, 10],
             mark_point=["max", "min"], mark_line=["average"])
    line.add("最低气温", WEEK, [1, -2, 2, 5, 3, 2, 0],
             mark_point=["max", "min"], mark_line=["average"],
             legend_pos="20%")
    v1 = [5, 20, 36, 10, 75, 90]
    v2 = [10, 25, 8, 60, 20, 80]
    scatter = Scatter("散点图示例", title_top="50%", title_pos="65%")
    scatter.add("scatter", v1, v2, legend_top="50%", legend_pos="80%")
    es = EffectScatter("动态散点图示例", title_top="50%")
    es.add("es", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0],
           effect_scale=6, legend_top="50%", legend_pos="20%")

    grid = Grid()
    grid.add(bar, grid_bottom="60%", grid_left="60%")
    grid.add(line, grid_bottom="60%", grid_right="60%")
    grid.add(scatter, grid_top="60%", grid_left="60%")
    grid.add(es, grid_top="60%", grid_right="60%")
    grid.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_timeline_label_color():
    attr = ["{}月".format(i) for i in range(1, 7)]
    bar = Bar("1 月份数据", "数据纯属虚构")
    bar.add(
        "bar",
        attr,
        [randint(10, 50) for _ in range(6)],
        label_color=["red", "#213", "black"],
    )
    line = Line()
    line.add("line", attr, [randint(50, 80) for _ in range(6)])
    overlap_0 = Overlap()
    overlap_0.add(bar)
    overlap_0.add(line)

    bar_1 = Bar("2 月份数据", "数据纯属虚构")
    bar_1.add("bar", attr, [randint(10, 50) for _ in range(6)])
    line_1 = Line()
    line_1.add("line", attr, [randint(50, 80) for _ in range(6)])
    overlap_1 = Overlap()
    overlap_1.add(bar_1)
    overlap_1.add(line_1)

    timeline = Timeline(timeline_bottom=0)
    timeline.add(overlap_0, "1 月")
    timeline.add(overlap_1, "2 月")
    content = timeline._repr_html_()
    assert '"color": [' in content
    assert "red" in content
    assert "#213" in content
    assert "black" in content

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_line_type_fil():
    line = Line("折线图-面积图示例")
    line.add("商家A", CLOTHES, clothes_v1, is_fill=True, line_opacity=0.2,
             area_opacity=0.4, symbol=None)
    line.add("商家B", CLOTHES, clothes_v2, is_fill=True, area_color='#000',
             area_opacity=0.3, is_smooth=True)
    assert '"step": true' not in line._repr_html_()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_grid_properties():
    v1 = [5, 20, 36, 10, 75, 90]
    v2 = [10, 25, 8, 60, 20, 80]
    bar = Bar("柱状图示例", height=720)
    bar.add("商家A", CLOTHES, v1, is_stack=True)
    bar.add("商家B", CLOTHES, v2, is_stack=True)
    line = Line("折线图示例", title_top="50%")
    line.add(
        "最高气温",
        WEEK,
        [11, 11, 15, 13, 12, 13, 10],
        mark_point=["max", "min"],
        mark_line=["average"],
    )
    line.add(
        "最低气温",
        WEEK,
        [1, -2, 2, 5, 3, 2, 0],
        mark_point=["max", "min"],
        mark_line=["average"],
        legend_top="50%",
    )

    grid = Grid(width=1024, height=768)
    grid.add(bar, grid_bottom="60%")
    grid.add(line, grid_top="60%")
    eq_(grid.width, 1024)
    eq_(grid.height, 768)
    assert (
        ("echarts" in bar.js_dependencies)
        or ("echarts.min" in bar.js_dependencies)
    )

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_grid_top_bottom():
    v1 = [5, 20, 36, 10, 75, 90]
    v2 = [10, 25, 8, 60, 20, 80]
    bar = Bar("柱状图示例", height=720)
    bar.add("商家A", CLOTHES, v1, is_stack=True)
    bar.add("商家B", CLOTHES, v2, is_stack=True)
    line = Line("折线图示例", title_top="50%")
    line.add(
        "最高气温",
        WEEK,
        [11, 11, 15, 13, 12, 13, 10],
        mark_point=["max", "min"],
        mark_line=["average"],
    )
    line.add(
        "最低气温",
        WEEK,
        [1, -2, 2, 5, 3, 2, 0],
        mark_point=["max", "min"],
        mark_line=["average"],
        legend_top="50%",
    )

    grid = Grid()
    grid.add(bar, grid_bottom="60%")
    grid.add(line, grid_top="60%")
    grid.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_line_user_define_markpoint():
    line = Line("折线图示例")
    line.add("商家A", CLOTHES, clothes_v1,
             mark_point=["average", {
                 "coord": ["裤子", 10], "name": "这是我想要的第一个标记点"}])
    line.add("商家B", CLOTHES, clothes_v2, is_smooth=True,
             mark_point=[{
                 "coord": ["袜子", 80], "name": "这是我想要的第二个标记点"}])
    line.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def draw_sentiment_pic(csv_file):
    attr, val = [], []
    info = count_sentiment(csv_file)
    info = sorted(info.items(), key=lambda x: x[0], reverse=False)  # dict的排序方法
    for each in info[:-1]:
        attr.append(each[0])
        val.append(each[1])
    line = Line(csv_file+":影评情感分析")
    line.add("", attr, val, is_smooth=True, is_more_utils=True)
    line.render(csv_file+"_情感分析曲线图.html")

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_line_user_define_marks():
    line = Line("折线图示例")
    line.add("商家A", CLOTHES, clothes_v1,
             mark_point=["average", "max", "min"],
             mark_point_symbol='diamond', mark_point_textcolor='#40ff27')
    line.add("商家B", CLOTHES, clothes_v2,
             mark_point=["average", "max", "min"],
             mark_point_symbol='arrow', mark_point_symbolsize=40)
    line.show_config()
    line.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_line_log_yaxis():
    import math
    import random
    line = Line("折线图示例")
    line.add("商家A", CLOTHES,
             [math.log10(random.randint(1, 99999)) for _ in range(6)])
    line.add("商家B", CLOTHES,
             [math.log10(random.randint(1, 99999999)) for _ in range(6)],
             yaxis_type="log")
    line.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_line_es():
    v1 = [5, 20, 36, 10, 10, 100]
    line = Line("line-EffectScatter 示例")
    line.add("", CLOTHES, v1, is_random=True)
    es = EffectScatter()
    es.add("", CLOTHES, v1, effect_scale=8)

    overlap = Overlap()
    overlap.add(line)
    overlap.add(es)
    overlap.render()

# 需要导入模块: from pyecharts import Line [as 别名]
# 或者: from pyecharts.Line import add [as 别名]
def test_line_marks():
    line = Line("折线图示例")
    line.add("商家A", CLOTHES, clothes_v1, mark_point=["average"])
    line.add(
        "商家B",
        CLOTHES,
        clothes_v2,
        is_smooth=True,
        mark_line=["max", "average"],
    )
    line.render()