"""Plot a single parameter."""
import itertools
import numpy as np
from matplotlib import pyplot as plt
from bioplottemplates import log
from bioplottemplates.libs import libmsg, libutil
from bioplottemplates.logger import S, T
[docs]def plot(
x_labels,
y_data,
title=None,
xlabel=None,
ylabel=None,
series_labels=None,
legend=True,
legend_fs=6,
legend_loc=4,
numeric_x_labels=False,
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',
**kwargs,
):
"""
"""
log.info(T('Plotting Labeled Dots'))
# prepares data
if isinstance(y_data, (list, np.ndarray)):
if not isinstance(y_data[0], (list, np.ndarray)):
y_data = [y_data]
else:
raise ValueError('y_data must be list or np.ndarray')
if not isinstance(series_labels, list):
series_labels = [series_labels]
elif series_labels is None:
series_labels = [None] * len(y_data)
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])
for dataset in y_data:
fig.suptitle(
title,
x=0.5,
y=0.990,
va="top",
ha="center",
)
#ax.margins(x=1)
for i, yy in enumerate(y_data):
ax.scatter(
range(int(numeric_x_labels), int(numeric_x_labels) + len(yy)),
yy,
label=series_labels[i],
color=next(plot_colors),
alpha=alpha,
zorder=10)
ax.set_xlabel(xlabel, weight='bold')
ax.set_ylabel(ylabel, weight='bold')
#ax.set_xlim(x_data[0], x_data[-1])
ax.set_ylim(0)
if numeric_x_labels:
ax.set_xlim(numeric_x_labels, len(x_labels))
else:
ax.set_xticks(range(len(x_labels)))
ax.set_xticklabels(x_labels, rotation=90)
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.savefig(filename)
