折线图 LineChart
绘制折线图。
示例
折线图 1
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import flet as ft
class State:
toggle = True
s = State()
def main(page: ft.Page):
data_1 = [
ft.LineChartData(
data_points=[
ft.LineChartDataPoint(1, 1),
ft.LineChartDataPoint(3, 1.5),
ft.LineChartDataPoint(5, 1.4),
ft.LineChartDataPoint(7, 3.4),
ft.LineChartDataPoint(10, 2),
ft.LineChartDataPoint(12, 2.2),
ft.LineChartDataPoint(13, 1.8),
],
stroke_width=8,
color=ft.Colors.LIGHT_GREEN,
curved=True,
stroke_cap_round=True,
),
ft.LineChartData(
data_points=[
ft.LineChartDataPoint(1, 1),
ft.LineChartDataPoint(3, 2.8),
ft.LineChartDataPoint(7, 1.2),
ft.LineChartDataPoint(10, 2.8),
ft.LineChartDataPoint(12, 2.6),
ft.LineChartDataPoint(13, 3.9),
],
color=ft.Colors.PINK,
below_line_bgcolor=ft.Colors.with_opacity(0, ft.Colors.PINK),
stroke_width=8,
curved=True,
stroke_cap_round=True,
),
ft.LineChartData(
data_points=[
ft.LineChartDataPoint(1, 2.8),
ft.LineChartDataPoint(3, 1.9),
ft.LineChartDataPoint(6, 3),
ft.LineChartDataPoint(10, 1.3),
ft.LineChartDataPoint(13, 2.5),
],
color=ft.Colors.CYAN,
stroke_width=8,
curved=True,
stroke_cap_round=True,
),
]
data_2 = [
ft.LineChartData(
data_points=[
ft.LineChartDataPoint(1, 1),
ft.LineChartDataPoint(3, 4),
ft.LineChartDataPoint(5, 1.8),
ft.LineChartDataPoint(7, 5),
ft.LineChartDataPoint(10, 2),
ft.LineChartDataPoint(12, 2.2),
ft.LineChartDataPoint(13, 1.8),
],
stroke_width=4,
color=ft.Colors.with_opacity(0.5, ft.Colors.LIGHT_GREEN),
stroke_cap_round=True,
),
ft.LineChartData(
data_points=[
ft.LineChartDataPoint(1, 1),
ft.LineChartDataPoint(3, 2.8),
ft.LineChartDataPoint(7, 1.2),
ft.LineChartDataPoint(10, 2.8),
ft.LineChartDataPoint(12, 2.6),
ft.LineChartDataPoint(13, 3.9),
],
color=ft.Colors.with_opacity(0.5, ft.Colors.PINK),
below_line_bgcolor=ft.Colors.with_opacity(0.2, ft.Colors.PINK),
stroke_width=4,
curved=True,
stroke_cap_round=True,
),
ft.LineChartData(
data_points=[
ft.LineChartDataPoint(1, 3.8),
ft.LineChartDataPoint(3, 1.9),
ft.LineChartDataPoint(6, 5),
ft.LineChartDataPoint(10, 3.3),
ft.LineChartDataPoint(13, 4.5),
],
color=ft.Colors.with_opacity(0.5, ft.Colors.CYAN),
stroke_width=4,
stroke_cap_round=True,
),
]
chart = ft.LineChart(
data_series=data_1,
border=ft.Border(
bottom=ft.BorderSide(4, ft.Colors.with_opacity(0.5, ft.Colors.ON_SURFACE))
),
left_axis=ft.ChartAxis(
labels=[
ft.ChartAxisLabel(
value=1,
label=ft.Text("1m", size=14, weight=ft.FontWeight.BOLD),
),
ft.ChartAxisLabel(
value=2,
label=ft.Text("2m", size=14, weight=ft.FontWeight.BOLD),
),
ft.ChartAxisLabel(
value=3,
label=ft.Text("3m", size=14, weight=ft.FontWeight.BOLD),
),
ft.ChartAxisLabel(
value=4,
label=ft.Text("4m", size=14, weight=ft.FontWeight.BOLD),
),
ft.ChartAxisLabel(
value=5,
label=ft.Text("5m", size=14, weight=ft.FontWeight.BOLD),
),
ft.ChartAxisLabel(
value=6,
label=ft.Text("6m", size=14, weight=ft.FontWeight.BOLD),
),
],
labels_size=40,
),
bottom_axis=ft.ChartAxis(
labels=[
ft.ChartAxisLabel(
value=2,
label=ft.Container(
ft.Text(
"SEP",
size=16,
weight=ft.FontWeight.BOLD,
color=ft.Colors.with_opacity(0.5, ft.Colors.ON_SURFACE),
),
margin=ft.margin.only(top=10),
),
),
ft.ChartAxisLabel(
value=7,
label=ft.Container(
ft.Text(
"OCT",
size=16,
weight=ft.FontWeight.BOLD,
color=ft.Colors.with_opacity(0.5, ft.Colors.ON_SURFACE),
),
margin=ft.margin.only(top=10),
),
),
ft.ChartAxisLabel(
value=12,
label=ft.Container(
ft.Text(
"DEC",
size=16,
weight=ft.FontWeight.BOLD,
color=ft.Colors.with_opacity(0.5, ft.Colors.ON_SURFACE),
),
margin=ft.margin.only(top=10),
),
),
],
labels_size=32,
),
tooltip_bgcolor=ft.Colors.with_opacity(0.8, ft.Colors.BLUE_GREY),
min_y=0,
max_y=4,
min_x=0,
max_x=14,
# animate=5000,
expand=True,
)
def toggle_data(e):
if s.toggle:
chart.data_series = data_2
chart.data_series[2].point = True
chart.max_y = 6
chart.interactive = False
else:
chart.data_series = data_1
chart.max_y = 4
chart.interactive = True
s.toggle = not s.toggle
chart.update()
page.add(ft.IconButton(ft.Icons.REFRESH, on_click=toggle_data), chart)
ft.app(main)
LineChart 2
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import flet as ft
class State:
toggle = True
s = State()
def main(page: ft.Page):
data_1 = [
ft.LineChartData(
data_points=[
ft.LineChartDataPoint(0, 3),
ft.LineChartDataPoint(2.6, 2),
ft.LineChartDataPoint(4.9, 5),
ft.LineChartDataPoint(6.8, 3.1),
ft.LineChartDataPoint(8, 4),
ft.LineChartDataPoint(9.5, 3),
ft.LineChartDataPoint(11, 4),
],
stroke_width=5,
color=ft.Colors.CYAN,
curved=True,
stroke_cap_round=True,
)
]
data_2 = [
ft.LineChartData(
data_points=[
ft.LineChartDataPoint(0, 3.44),
ft.LineChartDataPoint(2.6, 3.44),
ft.LineChartDataPoint(4.9, 3.44),
ft.LineChartDataPoint(6.8, 3.44),
ft.LineChartDataPoint(8, 3.44),
ft.LineChartDataPoint(9.5, 3.44),
ft.LineChartDataPoint(11, 3.44),
],
stroke_width=5,
color=ft.Colors.CYAN,
curved=True,
stroke_cap_round=True,
)
]
chart = ft.LineChart(
data_series=data_1,
border=ft.border.all(3, ft.Colors.with_opacity(0.2, ft.Colors.ON_SURFACE)),
horizontal_grid_lines=ft.ChartGridLines(
interval=1, color=ft.Colors.with_opacity(0.2, ft.Colors.ON_SURFACE), width=1
),
vertical_grid_lines=ft.ChartGridLines(
interval=1, color=ft.Colors.with_opacity(0.2, ft.Colors.ON_SURFACE), width=1
),
left_axis=ft.ChartAxis(
labels=[
ft.ChartAxisLabel(
value=1,
label=ft.Text("10K", size=14, weight=ft.FontWeight.BOLD),
),
ft.ChartAxisLabel(
value=3,
label=ft.Text("30K", size=14, weight=ft.FontWeight.BOLD),
),
ft.ChartAxisLabel(
value=5,
label=ft.Text("50K", size=14, weight=ft.FontWeight.BOLD),
),
],
labels_size=40,
),
bottom_axis=ft.ChartAxis(
labels=[
ft.ChartAxisLabel(
value=2,
label=ft.Container(
ft.Text(
"MAR",
size=16,
weight=ft.FontWeight.BOLD,
color=ft.Colors.with_opacity(0.5, ft.Colors.ON_SURFACE),
),
margin=ft.margin.only(top=10),
),
),
ft.ChartAxisLabel(
value=5,
label=ft.Container(
ft.Text(
"JUN",
size=16,
weight=ft.FontWeight.BOLD,
color=ft.Colors.with_opacity(0.5, ft.Colors.ON_SURFACE),
),
margin=ft.margin.only(top=10),
),
),
ft.ChartAxisLabel(
value=8,
label=ft.Container(
ft.Text(
"SEP",
size=16,
weight=ft.FontWeight.BOLD,
color=ft.Colors.with_opacity(0.5, ft.Colors.ON_SURFACE),
),
margin=ft.margin.only(top=10),
),
),
],
labels_size=32,
),
tooltip_bgcolor=ft.Colors.with_opacity(0.8, ft.Colors.BLUE_GREY),
min_y=0,
max_y=6,
min_x=0,
max_x=11,
# animate=5000,
expand=True,
)
def toggle_data(e):
if s.toggle:
chart.data_series = data_2
chart.interactive = False
else:
chart.data_series = data_1
chart.interactive = True
s.toggle = not s.toggle
chart.update()
page.add(ft.ElevatedButton("avg", on_click=toggle_data), chart)
ft.app(main)
属性
animate
控制图表的隐式动画。值的类型为 AnimationValue
。
baseline_x
X 轴的基线值。默认为 0
。
baseline_y
Y 轴的基线值。默认为 0
。
bgcolor
图表的背景颜色。
border
图表周围的边框。值的类型为 Border
。
bottom_axis
定义底部轴的外观、标题和标签。值的类型为 ChartAxis
。
data_series
在图表上作为单独线条绘制的 LineChartData
控件列表。
horizontal_grid_lines
控制图表水平线的绘制。值的类型为 ChartGridLines
。
interactive
当鼠标悬停在图表上时启用自动工具提示和点高亮显示。
left_axis
定义左侧轴的外观、标题和标签。值的类型为 ChartAxis
类。
max_x
定义 X 轴显示的最大值。
max_y
定义 Y 轴显示的最大值。
min_x
定义 X 轴显示的最小值。
min_y
定义 Y 轴显示的最小值。
point_line_end
在选定点位置绘制的垂直线的末端。默认为数据点的 y
值。
point_line_start
在选定点下方绘制的垂直线的起点。默认为图表的底部边缘。
right_axis
定义右侧轴的外观、标题和标签。值的类型为 ChartAxis
类。
tooltip_bgcolor
工具提示的背景颜色。
tooltip_border_side
工具提示边框边。
tooltip_direction
控制在顶部或底部显示工具提示。值的类型为 TooltipDirection
,默认为 TooltipDirection.AUTO
。
tooltip_fit_inside_horizontally
如果发生溢出,强制工具提示在图表内水平移动。值的类型为 bool
。
tooltip_fit_inside_vertically
如果发生溢出,强制工具提示在图表内垂直移动。值的类型为 bool
。
tooltip_horizontal_offset
应用水平偏移以显示工具提示。
tooltip_margin
在棒图顶部显示工具提示时应用底部边距。
tooltip_max_content_width
限制工具提示的宽度。
tooltip_padding
应用填充以在工具提示内显示内容。值的类型为 PaddingValue
。
tooltip_rounded_radius
为工具提示设置圆角半径。
tooltip_rotate_angle
工具提示的旋转角度。
tooltip_show_on_top_of_chart_box_area
是否强制将工具提示容器置于线条顶部。值的类型为 bool
,默认为 False
。
top_axis
定义顶部轴的外观、标题和标签。值的类型为 ChartAxis
。
vertical_grid_lines
控制图表垂直线的绘制。值的类型为 ChartGridLines
。
事件
on_chart_event
当图表线条被悬停或点击时触发。值的类型为 LineChartEvent
。