Options

The function plot supports options of X axis, Y axis, color legend, symbol legend, and style. When an option has different fields, you can find its appropriate classes for each option to know what are its fields. You can specify an option in two ways:

From dictWith its appropriate class

import plotynium as ply

plot = ply.plot(
    marks=[...],
    y={
        "grid": True,
        "specifier": "+f",
        "label": "Surface temperature anomaly (°C)"
    },
)

import plotynium as ply

plot = ply.plot(
    marks=[...],
    y=ply.YOptions(
        grid=True,
        specifier="+f",
        label="Surface temperature anomaly (°C)",
    )
)

grid option

This option adds grid on X axis and Y axis.

import plotynium as ply
from math import sin, pi
import random

random.seed(42)

data = [
    {
        "x_values": i / (4 * pi),
        "y_values": sin(i / (4 * pi)) + 0.5 * (random.random() - 0.5),
    }
    for i in range(100)
]

plot = ply.plot(
    width=928,
    height=500,
    marks=[ply.line(data, x="x_values", y="y_values")],
    grid=True,
)

with open("plot.svg", "w") as file:
    file.write(str(plot))

nice option

This option makes axis ticks nicer.

import plotynium as ply
from math import sin, pi
import random

random.seed(42)

data = [
    {
        "x_values": i / (4 * pi),
        "y_values": sin(i / (4 * pi)) + 0.5 * (random.random() - 0.5),
    }
    for i in range(100)
]

plot = ply.plot(
    width=928,
    height=500,
    marks=[ply.line(data, x="x_values", y="y_values")],
    x={"nice": True},
)

with open("plot.svg", "w") as file:
    file.write(str(plot))

Note

By default, the option nice is True for Y axis.

style option

This option is applied X axis, Y axis, legend and text.

import plotynium as ply
from math import sin, pi
import random

random.seed(42)

data = [
    {
        "x_values": i / (4 * pi),
        "y_values": sin(i / (4 * pi)) + 0.5 * (random.random() - 0.5),
    }
    for i in range(100)
]

plot = ply.plot(
    width=928,
    height=500,
    margin_left=60,
    marks=[ply.line(data, x="x_values", y="y_values")],
    style={"color": "steelblue", "font_size": 15},
)

with open("plot.svg", "w") as file:
    file.write(str(plot))