seaborn

A drop-in replacement for seaborn that renames all labels from snake_case to Words.

import matplotlib.pyplot as plt
from pdpatch.core import *

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source

renamer

 renamer (fun)

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source

Seaborn

 Seaborn ()

Like express but renames all columns from snake_case to Words.

df = pd.DataFrame({'time__s__': range(10), 'position__m__': range(10)})
sns.regplot(data=df, x='time__s__', y='position__m__');

tips = sns.load_dataset("tips")
sns.relplot(data=tips, x="total_bill", y="tip", hue="day");

sns.relplot(data=tips, x="total_bill", y="tip", hue="day", col="time");

sns.relplot(data=tips, x="total_bill", y="tip", hue="day", col="time", row="sex")

<seaborn.axisgrid.FacetGrid>

sns.relplot(
    data=tips, x="total_bill", y="tip", col="time",
    hue="time", size="size", style="sex",
    palette=["b", "r"], sizes=(10, 100)
)

<seaborn.axisgrid.FacetGrid>

fmri = seaborn.load_dataset("fmri")
sns.relplot(
    data=fmri, x="timepoint", y="signal", col="region",
    hue="event", style="event", kind="line",
)

<seaborn.axisgrid.FacetGrid>

sns.relplot(
    data=fmri,
    x="timepoint", y="signal",
    hue="event", style="event", col="region",
    height=4, aspect=.7, kind="line"
)

<seaborn.axisgrid.FacetGrid>

g = sns.relplot(
    data=fmri,
    x="timepoint", y="signal",
    hue="event", style="event", col="region",
    height=4, aspect=.7, kind="line"
)
(g.map(plt.axhline, y=0, color=".7", dashes=(2, 1), zorder=0)
  .set_axis_labels("Timepoint", "Percent signal change")
  .set_titles("Region: {col_name} cortex")
  .tight_layout(w_pad=0))

flights_wide = sns.load_dataset("flights").pivot("year", "month", "passengers")
sns.relplot(data=flights_wide, kind="line")

<seaborn.axisgrid.FacetGrid>

penguins = sns.load_dataset("penguins")
sns.displot(data=penguins, x="flipper_length_mm");

# import seaborn as sns;
sns.set_theme(color_codes=True)
tips = sns.load_dataset("tips")
g = sns.lmplot(x="total_bill", y="tip", data=tips);

g = sns.lmplot(x="total_bill", y="tip", col="day", hue="day",
               data=tips, col_wrap=2, height=3);

flights = sns.load_dataset("flights")
flights = flights.pivot("month", "year", "passengers")
ax = sns.heatmap(flights);

If you use sns.FacetGrid you will have to use the Word version of the column names in the method map and map_dataframe.

tips = sns.load_dataset("tips")
g = sns.FacetGrid(tips, col="time",  row="sex")
g.map(sns.scatterplot, "Total Bill", "Tip");

g = sns.FacetGrid(tips, col="time",  row="sex")
g.map_dataframe(sns.histplot, x="Total Bill");