[seaborn을 이용한 데이터 시각화] #02. jointplot, pairplot, heatmap

1) jointplot

• kind = { “scatter” | “kde” | “hist” | “hex” | “reg” | “resid” }

sns.jointplot(data=penguins, x="bill_length_mm", y="bill_depth_mm", kind="reg")

• additional keyword arguments

sns.jointplot(
    data=penguins, x="bill_length_mm", y="bill_depth_mm",
    marker="+", s=100, marginal_kws=dict(bins=25, fill=False),
)

• jointgrid parameters

sns.jointplot(data=penguins, x="bill_length_mm", y="bill_depth_mm", height=5, ratio=2, marginal_ticks=True)

seaborn.jointplot — seaborn 0.11.1 documentation

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2) pairplot

• hue="species" : adds a semantic mapping and chances the default marginal plot to a layered kernel density estimate

sns.pairplot(penguins, hue="species")

• kind="kde" : determines both the diagonal and off-diagonal plotting style

sns.pairplot(penguins, kind="kde")

• markers=["o", "s", "D"] : applies a style mapping on the off-diagonal axes

sns.pairplot(penguins, hue="species", markers=["o", "s", "D"])

• corner=True : Set corner=True to plot only the lower triangle

corner : bool

If True, don’t add axes to the upper (off-diagonal) triangle of the grid, making this a “corner” plot.

sns.pairplot(penguins, corner=True)

seaborn.pairplot — seaborn 0.11.1 documentation

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3) heatmap

• vmin, vmax : Change the limits of the colormap

ax = sns.heatmap(uniform_data, vmin=0, vmax=1)

• center =0 : Plot a heatmap for data centered on 0 with a diverging colormap

normal_data = np.random.randn(10, 12)
ax = sns.heatmap(normal_data, center=0)

• annot=True : Annotate each cell with the numeric value using integer formatting

ax = sns.heatmap(flights, annot=True, fmt="d")

• linewidths=.5 : Add lines between each cell

ax = sns.heatmap(flights, linewidths=.5)

• cmap : matplotlib colormap name or object, or list of colors, optional

ax = sns.heatmap(flights, cmap="YlGnBu")

• center : Center the colormap at a specific value

ax = sns.heatmap(flights, center=flights.loc["Jan", 1955])

• cbar=False : Don’t draw a colorbar

ax = sns.heatmap(flights, cbar=False)

 

seaborn.heatmap — seaborn 0.11.1 documentation