daviddoji/CalculusWithJuliaNotes.jl
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update

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some typos.
This commit is contained in:
Fang Liu
2023-07-21 16:47:36 +08:00
parent 3cf6442350
commit 82c51c7d58
3 changed files with 22 additions and 22 deletions
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18
quarto/alternatives/plotly_plotting.qmd
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@@ -149,7 +149,7 @@ The difference is solely the specification of the `mode` value, for a line plot
### Nothing
The line graph plays connect-the-dots with the points specified by paired `x` and `y` values. *Typically*, when and `x` value is `NaN` that "dot" (or point) is skipped. However, `NaN` doesn't pass through the JSON conversion – `nothing` can be used.
The line graph plays connect-the-dots with the points specified by paired `x` and `y` values. *Typically*, when `x` value is `NaN` that "dot" (or point) is skipped. However, `NaN` doesn't pass through the JSON conversion – `nothing` can be used.
```{julia}
@@ -381,17 +381,17 @@ In the following, to highlight the difference between $f(x) = \cos(x)$ and $p(x)
xs = range(-1, 1, 100)
data = [
Config(
x=xs, y=cos.(xs),
fill = "tonexty",
fillcolor = "rgba(0,0,255,0.25)", # to get transparency
line = Config(color=:blue)
),
Config(
x=xs, y=[1 - x^2/2 for x ∈ xs ],
fill = "tozeroy",
fillcolor = "rgba(255,0,0,0.25)", # to get transparency
line = Config(color=:red)
)
),
Config(
x=xs, y=cos.(xs),
fill = "tonexty",
fillcolor = "rgba(0,0,255,0.25)", # to get transparency
line = Config(color=:blue)
)
]
Plot(data)
```
@@ -428,7 +428,7 @@ lyt = Config(title = "Main chart title",
Plot(data, lyt)
```
The `xaxis` and `yaxis` keys have many customizations. For example: `nticks` specifies the maximum number of ticks; `range` to set the range of the axis; `type` to specify the axis type from "linear", "log", "date", "category", or "multicategory;" and `visible`
The `xaxis` and `yaxis` keys have many customizations. For example: `nticks` specifies the maximum number of ticks; `range` to set the range of the axis; `type` to specify the axis type from "linear", "log", "date", "category", or "multicategory"; and `visible`.
The aspect ratio of the chart can be set to be equal through the `scaleanchor` key, which specifies another axis to take a value from. For example, here is a parametric plot of a circle: