Sparkline¶
Added in version 0.27.0
A widget that is used to visually represent numerical data.
- Focusable
- Container
Examples¶
Basic example¶
The example below illustrates the relationship between the data, its length, the width of the sparkline, and the number of bars displayed.
Tip
The sparkline data is split into equally-sized chunks. Each chunk is represented by a bar and the width of the sparkline dictates how many bars there are.
from textual.app import App, ComposeResult
from textual.widgets import Sparkline
data = [1, 2, 2, 1, 1, 4, 3, 1, 1, 8, 8, 2] # (1)!
class SparklineBasicApp(App[None]):
CSS_PATH = "sparkline_basic.tcss"
def compose(self) -> ComposeResult:
yield Sparkline( # (2)!
data, # (3)!
summary_function=max, # (4)!
)
app = SparklineBasicApp()
if __name__ == "__main__":
app.run()
- We have 12 data points.
- This sparkline will have its width set to 3 via CSS.
- The data (12 numbers) will be split across 3 bars, so 4 data points are associated with each bar.
- Each bar will represent its largest value. The largest value of each chunk is 2, 4, and 8, respectively. That explains why the first bar is half the height of the second and the second bar is half the height of the third.
Different summary functions¶
The example below shows a sparkline widget with different summary functions. The summary function is what determines the height of each bar.
import random
from statistics import mean
from textual.app import App, ComposeResult
from textual.widgets import Sparkline
random.seed(73)
data = [random.expovariate(1 / 3) for _ in range(1000)]
class SparklineSummaryFunctionApp(App[None]):
CSS_PATH = "sparkline.tcss"
def compose(self) -> ComposeResult:
yield Sparkline(data, summary_function=max) # (1)!
yield Sparkline(data, summary_function=mean) # (2)!
yield Sparkline(data, summary_function=min) # (3)!
app = SparklineSummaryFunctionApp()
if __name__ == "__main__":
app.run()
- Each bar will show the largest value of that bucket.
- Each bar will show the mean value of that bucket.
- Each bar will show the smaller value of that bucket.
Changing the colors¶
The example below shows how to use component classes to change the colors of the sparkline.
from math import sin
from textual.app import App, ComposeResult
from textual.widgets import Sparkline
class SparklineColorsApp(App[None]):
CSS_PATH = "sparkline_colors.tcss"
def compose(self) -> ComposeResult:
nums = [abs(sin(x / 3.14)) for x in range(0, 360 * 6, 20)]
yield Sparkline(nums, summary_function=max, id="fst")
yield Sparkline(nums, summary_function=max, id="snd")
yield Sparkline(nums, summary_function=max, id="trd")
yield Sparkline(nums, summary_function=max, id="frt")
yield Sparkline(nums, summary_function=max, id="fft")
yield Sparkline(nums, summary_function=max, id="sxt")
yield Sparkline(nums, summary_function=max, id="svt")
yield Sparkline(nums, summary_function=max, id="egt")
yield Sparkline(nums, summary_function=max, id="nnt")
yield Sparkline(nums, summary_function=max, id="tnt")
app = SparklineColorsApp()
if __name__ == "__main__":
app.run()
Sparkline {
width: 100%;
margin: 1;
}
#fst > .sparkline--max-color {
color: $success;
}
#fst > .sparkline--min-color {
color: $warning;
}
#snd > .sparkline--max-color {
color: $warning;
}
#snd > .sparkline--min-color {
color: $success;
}
#trd > .sparkline--max-color {
color: $error;
}
#trd > .sparkline--min-color {
color: $warning;
}
#frt > .sparkline--max-color {
color: $warning;
}
#frt > .sparkline--min-color {
color: $error;
}
#fft > .sparkline--max-color {
color: $accent;
}
#fft > .sparkline--min-color {
color: $accent 30%;
}
#sxt > .sparkline--max-color {
color: $primary 30%;
}
#sxt > .sparkline--min-color {
color: $primary;
}
#svt > .sparkline--max-color {
color: $error;
}
#svt > .sparkline--min-color {
color: $error 30%;
}
#egt > .sparkline--max-color {
color: $error 30%;
}
#egt > .sparkline--min-color {
color: $error;
}
#nnt > .sparkline--max-color {
color: $success;
}
#nnt > .sparkline--min-color {
color: $success 30%;
}
#tnt > .sparkline--max-color {
color: $success 30%;
}
#tnt > .sparkline--min-color {
color: $success;
}
Reactive Attributes¶
Name | Type | Default | Description |
---|---|---|---|
data |
Sequence[float] | None |
None |
The data represented by the sparkline. |
summary_function |
Callable[[Sequence[float]], float] |
max |
The function that computes the height of each bar. |
Messages¶
This widget posts no messages.
Bindings¶
This widget has no bindings.
Component Classes¶
The sparkline widget provides the following component classes:
Use these component classes to define the two colors that the sparkline interpolates to represent its numerical data.
Note
These two component classes are used exclusively for the color of the
sparkline widget. Setting any style other than color
will have no effect.
Class | Description |
---|---|
sparkline--max-color |
The color used for the larger values in the data. |
sparkline--min-color |
The color used for the smaller values in the data. |
Bases: Widget
A sparkline widget to display numerical data.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
|
Sequence[float] | None
|
The initial data to populate the sparkline with. |
None
|
|
Color | str | None
|
The color of the minimum value, or |
None
|
|
Color | str | None
|
the color of the maximum value, or |
None
|
|
Callable[[Sequence[float]], float] | None
|
Summarizes bar values into a single value used to represent each bar. |
None
|
|
str | None
|
The name of the widget. |
None
|
|
str | None
|
The ID of the widget in the DOM. |
None
|
|
str | None
|
The CSS classes for the widget. |
None
|
|
bool
|
Whether the widget is disabled or not. |
False
|
COMPONENT_CLASSES
class-attribute
¶
Use these component classes to define the two colors that the sparkline interpolates to represent its numerical data.
Note
These two component classes are used exclusively for the color of the
sparkline widget. Setting any style other than color
will have no effect.
Class | Description |
---|---|
sparkline--max-color |
The color used for the larger values in the data. |
sparkline--min-color |
The color used for the smaller values in the data. |