general_bar_plot

General bar plot comparing multiple metrics for each category with consistent colors and hatching.

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📥 Arguments

Name	Type	Required	Description
df	pd.DataFrame	✅	DataFrame containing the category column and one or more metric columns.
category_column	str	✅	Column name for the x-axis categories (e.g., ‘Group’, ‘Condition’).
figsize	tuple	❌	Figure size. Default: (12, 7).
xlabel	str	❌	Label for x-axis.
ylabel	str	❌	Label for y-axis.
title	str	❌	Title of the plot.
legend_loc	str	❌	Legend location. Default: ‘upper right’.
bar_width	float	❌	Width of bars. Default: 0.25.
color_map	Dict[str, str]	❌	Map from metric name to color.
style_map	Dict[str, str]	❌	Map from metric name to hatch style.
save	str	❌	Base filename to save PNG and PDF.

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📦 Example Output

Click to show example code

import pandas as pd
from swizz import plot
import matplotlib.pyplot as plt

df = pd.DataFrame({
    "Condition": ["No FTz", "FTz"],
    "Reward": [1.0, 1.2],
    "Goal": [0.7, 0.9],
})

fig, ax = plot("general_bar_plot",
    df=df,
    category_column="Condition",
    ylabel="Avg Value",
    title="Comparison of Reward and Goal",
    color_map={"Reward": "tab:blue", "Goal": "tab:orange"},
    style_map={"Reward": "/", "Goal": "\\"},
    bar_width=0.3,
    save="general_bar_plot"
)
plt.show()