joaomcteixeira/taurenmd

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src/taurenmd/plots/labeldots.py

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Maintainability
A
3 hrs
Test Coverage
"""Plot a single parameter."""
import itertools

import numpy as np
from matplotlib import pyplot as plt

from taurenmd.libs import libutil


def plot(
        y_data,
        x_labels=None,
        x_label_rot=90,
        labels=None,
        ymax=None,
        title=None,
        xlabel=None,
        ylabel=None,
        legend=True,
        legend_fs=6,
        legend_loc=4,
        colors=('b', 'g', 'r', 'c', 'm', 'y', 'k'),
        alpha=0.7,
        grid=True,
        grid_color="lightgrey",
        grid_ls="-",
        grid_lw=1,
        grid_alpha=0.5,
        figsize=(10, 6),
        filename='plot_param.pdf',
        dpi=300,
        ):
    """Plot label dots template."""
    y_data = np.array(y_data)
    if y_data.ndim == 1:
        y_data = y_data[np.newaxis, :]

    plot_colors = itertools.cycle(libutil.make_list(colors))

    fig, ax = plt.subplots(nrows=1, ncols=1, figsize=figsize)

    if xlabel:
        plt.tight_layout(rect=[0.05, 0.15, 0.995, 0.985])
    else:
        plt.tight_layout(rect=[0.05, 0.10, 0.995, 0.985])

    fig.suptitle(
        title,
        x=0.5,
        y=0.990,
        va="top",
        ha="center",
        )

    labels = labels or [None] * len(y_data)
    for i, yy in enumerate(y_data):

        ax.scatter(
            range(len(yy)),
            yy,
            label=labels[i],
            color=next(plot_colors),
            alpha=alpha,
            zorder=10)

    ax.set_xlabel(xlabel, weight='bold')
    ax.set_ylabel(ylabel, weight='bold')

    ax.set_ylim((0, ymax or np.max(y_data)))

    ax.set_xticks(list(range(y_data.shape[1])))

    if x_labels:
        ax.set_xticklabels(x_labels, rotation=x_label_rot)

    if grid:
        ax.grid(
            which='major',
            color=grid_color,
            linestyle=grid_ls,
            linewidth=grid_lw,
            alpha=grid_alpha,
            zorder=1,
            )

    if legend:
        ax.legend(
            fontsize=legend_fs,
            loc=legend_loc,
            )

    fig.tight_layout()
    fig.savefig(filename, dpi=dpi)