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Basic Plots

Basic plotting functions for simple visualizations including line plots, scatter plots, bar charts, pie charts, area plots, and heatmaps.

Functions

lineplot(x, y, *, label=None, ax=None, style='-', color=None)

Create a simple line plot.

Parameters:

  • x: X-axis values (if None, uses indices)
  • y: Y-axis values
  • label: Label for legend
  • ax: Matplotlib axes (creates new if None)
  • style: Line style (e.g., '-', '--', '-.')
  • color: Line color

Example:

from metainformant.visualization import lineplot

ax = lineplot(None, [1, 4, 2, 8, 5], label="Data")
ax.set_xlabel("Index")
ax.set_ylabel("Value")

scatter_plot(x, y, *, ax=None, color=None, size=20, alpha=0.7, xlabel=None, ylabel=None, title=None)

Create a scatter plot.

Example:

from metainformant.visualization import scatter_plot

ax = scatter_plot([1, 2, 3], [4, 5, 6], xlabel="X", ylabel="Y", title="Scatter")

bar_plot(x, y, *, ax=None, color=None, alpha=0.7, horizontal=False, xlabel=None, ylabel=None, title=None)

Create a bar plot.

Example:

from metainformant.visualization import bar_plot

ax = bar_plot(["A", "B", "C"], [10, 20, 15])

pie_chart(sizes, labels=None, *, ax=None, colors=None, autopct='%1.1f%%', title=None)

Create a pie chart.

Example:

from metainformant.visualization import pie_chart

ax = pie_chart([30, 25, 45], ["A", "B", "C"])

area_plot(x, y, *, ax=None, color=None, alpha=0.5, xlabel=None, ylabel=None, title=None)

Create an area plot (filled line plot).

Example:

from metainformant.visualization import area_plot

ax = area_plot([1, 2, 3, 4], [1, 4, 2, 3])

step_plot(x, y, *, ax=None, where='pre', label=None, color=None, xlabel=None, ylabel=None, title=None)

Create a step plot.

Example:

from metainformant.visualization import step_plot

ax = step_plot([1, 2, 3, 4], [1, 4, 2, 3])

heatmap(data, *, cmap='viridis', cbar=True, ax=None, annot=False)

Create a heatmap from 2D data or DataFrame.

Example:

from metainformant.visualization import heatmap
import numpy as np

data = np.random.random((10, 10))
ax = heatmap(data, annot=True)