Log Plots in Julia

Logarithmic Axes

using PlotlyJS, CSV, DataFrames

df = dataset(DataFrame, "gapminder")
df07 = df[df.year .== 2007, :]

plot(
    df07,
    x=:gdpPercap, y=:lifeExp, hover_name=:county, mode="markers",
    Layout(xaxis_type="log")
)

Setting the range of a logarithmic axis works the same was as with linear axes: using the xaxis_range and yaxis_range keywords on the Layout. Note that you cannot set the range to include 0 or less.

In the example below, the range of the x-axis is [0, 5] in log units, which is the same as [0, 10000] in linear units.

using PlotlyJS, CSV, DataFrames

df = dataset(DataFrame, "gapminder")
df07 = df[df.year .== 2007, :]

plot(
    df07,
    x=:gdpPercap, y=:lifeExp, hover_name=:county, mode="markers",
    Layout(xaxis=attr(type="log", range=[0, 5]), yaxis_range=[0, 100])
)