Examples

R

ggplot2

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Code

library(ggplot2) ggplot(penguins, aes(bill_len, bill_dep, colour = species)) + geom_point(na.rm = TRUE)

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tinyplot

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Code

tinyplot::tinyplot(dist ~ speed, data = cars)

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lattice

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Code

library(lattice) xyplot(mpg ~ wt, data = mtcars)

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plotly

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Code

library(plotly) plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, type = 'scatter')

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Python

matplotlib

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Code

import matplotlib.pyplot as plt from sklearn.datasets import load_iris iris = load_iris() data = iris.data fig, ax = plt.subplots() ax.scatter(data[:, 0], data[:, 2])

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plotnine

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Code

from plotnine import ggplot, aes, geom_point from plotnine.data import mtcars ggplot(mtcars, aes("wt", "mpg")) + geom_point()

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seaborn

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Code

from sklearn.datasets import load_iris import pandas as pd import seaborn as sns iris = load_iris() df = pd.DataFrame(iris.data, columns=iris.feature_names) df['species'] = iris.target sns.scatterplot(data=df, x="sepal length (cm)", y="petal length (cm)")

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plotly

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Code

import plotly.graph_objects as go fig = go.Figure(data=go.Scatter(x=[1, 2, 3], y=[4, 5, 6])) fig

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