def plot_data(x_list, y_lists, xlabel, ylabel, legend_title=None,
legend_labels=None, legend_loc=None, legend_prop=None,
ylim=None, xlim=None, ylog=False, xgrid=True, ygrid=True,
title=None, figsize=None, marker_list=None, ms_list=None,
figdir=None, ofn=None, cb_func=None):
if not marker_list:
marker_list = marker_cycle
if not ofn:
ofn = 'data_plot.png'
if not figsize:
figsize = (8, 6)
fig = plt.figure(figsize=figsize)
axes = fig.add_subplot(111)
if not ms_list:
ms_list = marker_size
for y, marker, ms in zip(y_lists, icycle(marker_list), icycle(ms_list)):
axes.plot(x_list, y, marker=marker, ms=ms)
if ylim:
axes.set_ylim(ylim[0], ylim[1])
if xlim:
axes.set_xlim(xlim[0], xlim[1])
if ylog:
axes.set_yscale('log')
axes.set_xlabel(xlabel)
axes.set_ylabel(ylabel)
if not legend_loc:
legend_loc = 'upper left'
if not legend_prop:
legend_prop = dict(size='medium')
if legend_labels:
axes.legend(axes.lines, legend_labels, loc=legend_loc,
title=legend_title, prop=legend_prop)
axes.xaxis.grid(xgrid)
axes.yaxis.grid(ygrid)
if title:
axes.set_title(title)
if cb_func:
cb_func(axes, fig)
if not figdir:
ofile = ofn
else:
ofile = joinpath(figdir, ofn)
fig.savefig(ofile, bbox_inches='tight')
def plot_series(x_list, y_lists, xlabel, ylabel, legend_labels=None,
legend_loc=None, ylim=None, set_grid=True, title=None,
figsize=None, marker_list=None, ms_list=None,
figdir=None, ofn=None, cb_func=None):
if not marker_list:
marker_list = marker_cycle
if not ofn:
ofn = 'series_plot.png'
if not figsize:
figsize = (8, 6)
fig = plt.figure(figsize=figsize)
axes = fig.add_subplot(111)
x = range(1, len(x_list) + 1)
if not ms_list:
ms_list = marker_size
for y, marker, ms in zip(y_lists, icycle(marker_list), icycle(ms_list)):
axes.plot(x, y, marker=marker, ms=ms)
majorLocator = MultipleLocator()
axes.set_xlim(0.5, len(x) + 0.5)
if ylim:
axes.set_ylim(ylim[0], ylim[1])
axes.set_xlabel(xlabel)
axes.set_ylabel(ylabel)
axes.xaxis.set_major_locator(majorLocator)
axes.set_xticklabels(x_list)
if not legend_loc:
legend_loc = 'best'
if legend_labels:
axes.legend(axes.lines, legend_labels, loc=legend_loc, prop=dict(size='medium'))
axes.grid(set_grid)
if cb_func:
cb_func(axes, fig)
if not figdir:
ofile = ofn
else:
ofile = joinpath(figdir, ofn)
fig.savefig(ofile, bbox_inches='tight')
def __init__(self, iterable):
self._cycle = icycle(iterable)
def __init__(self, iterable):
self._cycle = icycle(iterable)
def plot_errbar(x_list,
y_lists,
err_lists,
xlabel,
ylabel,
legend_labels=None,
legend_loc=None,
ylim=None,
xlim=None,
ylog=False,
xgrid=True,
ygrid=True,
title=None,
figsize=None,
marker_list=None,
ms_list=None,
figdir=None,
ofn=None,
cb_func=None):
if not marker_list:
marker_list = marker_cycle
if not ofn:
ofn = 'data_plot.png'
if not figsize:
figsize = (8, 6)
fig = plt.figure(figsize=figsize)
axes = fig.add_subplot(111)
if not ms_list:
ms_list = marker_size
for y, err, marker, ms in zip(y_lists, err_lists, icycle(marker_list),
icycle(ms_list)):
axes.plot(x_list, y, err=err, marker=marker, ms=ms)
if ylim:
axes.set_ylim(ylim[0], ylim[1])
if xlim:
axes.set_xlim(xlim[0], xlim[1])
if ylog:
axes.set_yscale('log')
axes.set_xlabel(xlabel)
axes.set_ylabel(ylabel)
if not legend_loc:
legend_loc = 'best'
if legend_labels:
axes.legend(axes.lines,
legend_labels,
loc=legend_loc,
prop=dict(size='medium'))
axes.xaxis.grid(xgrid)
axes.yaxis.grid(ygrid)
if cb_func:
cb_func(axes, fig)
if not figdir:
ofile = ofn
else:
ofile = joinpath(figdir, ofn)
fig.savefig(ofile, bbox_inches='tight')
def line_plot(df,
x_col,
y_col,
series_col,
xlabel=None,
ylabel=None,
llabel=None,
title=None,
lncols=None,
ms=None,
lloc=None,
figsize=None,
marker_list=None,
fontsize=None,
legend_fontsize=None,
figdir=None,
ofn=None,
**kwargs):
# Setup default values
if not marker_list:
marker_list = marker_cycle
if not ms:
ms = marker_size[0]
if not xlabel:
xlabel = x_col
if not ylabel:
ylabel = y_col
if not llabel:
llabel = series_col
if not lloc:
lloc = 'best'
if not ofn:
ofn = 'line_plot.png'
if not figsize:
figsize = (8, 6)
if not fontsize:
fontsize = 14
if not legend_fontsize:
legend_fontsize = fontsize
df2 = df.pivot(x_col, series_col, y_col)
if not lncols:
lncols = 1
elif lncols == 'flat':
lncols = len(df2.columns)
fig = plt.figure(figsize=figsize)
axes = fig.add_subplot(111)
# x = range(1, len(df[x_col])+1)
df2.plot(ax=axes,
fontsize=fontsize,
linewidth=3,
ms=ms,
style=[
'{0}-'.format(m)
for _, m in zip(df2.columns, icycle(marker_list))
],
**kwargs)
# if series.dtype == np.dtype('object'):
# for ser, marker, ms in zip(series, icycle(marker_list), icycle(ms_list)):
# df2 = df.query('{0} == "{1}"'.format(series_col, ser))[[x_col, y_col]]
# # axes.plot(df[x_col], df[y_col], marker=marker, ms=ms)
# df2.plot(x=x_col, y=y_col, axes=axes, marker=marker, ms=ms, **kwargs)
# else:
# for ser, marker, ms in zip(series, icycle(marker_list), icycle(ms_list)):
# df2 = df.query('{0} == {1}'.format(series_col, ser))[[x_col, y_col]]
# # axes.plot(df[x_col], df[y_col], marker=marker, ms=ms)
# df2.plot(x=x_col, y=y_col, axes=axes, marker=marker, ms=ms, **kwargs)
axes.legend(title=llabel, loc=lloc, ncol=lncols, fontsize=legend_fontsize)
axes.set_xlabel(xlabel, fontdict={'fontsize': fontsize})
axes.set_ylabel(ylabel, fontdict={'fontsize': fontsize})
if not figdir:
ofile = ofn
else:
ofile = joinpath(figdir, ofn)
fig.savefig(ofile, bbox_inches='tight')
def plot_series2(x_list,
y_lists,
xlabel,
ylabel,
legend_labels,
legend_loc=None,
ylim=None,
set_grid=True,
title=None,
figsize=None,
marker_list=None,
ms_list=None,
figdir=None,
ofn=None):
"""
For darkdim's voltage plots only due to special legend layout
"""
if not marker_list:
marker_list = marker_cycle
if not ofn:
ofn = 'series_plot.png'
if not figsize:
figsize = (8, 6)
fig = plt.figure(figsize=figsize)
axes = fig.add_subplot(111)
x = range(1, len(x_list) + 1)
if not ms_list:
ms_list = marker_size
for y, marker, ms in zip(y_lists, icycle(marker_list), icycle(ms_list)):
axes.plot(x, y, marker=marker, ms=ms)
majorLocator = MultipleLocator()
axes.set_xlim(0.5, len(x) + 0.5)
if ylim:
axes.set_ylim(ylim[0], ylim[1])
axes.set_xlabel(xlabel)
axes.set_ylabel(ylabel)
axes.xaxis.set_major_locator(majorLocator)
axes.set_xticklabels(x_list)
if not legend_loc:
legend_loc = 'best'
axes.legend(axes.lines,
legend_labels,
loc=legend_loc,
ncol=3,
prop=dict(size='medium'))
axes.grid(set_grid)
if not figdir:
ofile = ofn
else:
ofile = joinpath(figdir, ofn)
fig.savefig(ofile, bbox_inches='tight')
def plot_twinx(x_list,
y1_lists,
y2_lists,
xlabel,
y1label,
y2label,
legend_labels=None,
legend_loc=None,
title=None,
xlim=None,
y1lim=None,
y2lim=None,
set_grid=False,
figsize=None,
marker_list=None,
ms_list=None,
figdir=None,
ofn=None,
cb_func=None):
if not marker_list:
marker_list = marker_cycle
if not ofn:
ofn = 'twinx_plot.png'
if not figsize:
figsize = (8, 6)
fig = plt.figure(figsize=figsize)
ax1 = fig.add_subplot(111)
ax2 = ax1.twinx()
if title:
ax1.set_title(title)
if not ms_list:
ms_list = marker_size
for y1, marker, ms in zip(y1_lists, icycle(marker_list), icycle(ms_list)):
ax1.plot(x_list, y1, marker=marker, ms=ms)
for y2, marker, ms in zip(y2_lists, icycle(marker_list), icycle(ms_list)):
ax2.plot(x_list, y2, marker=marker, ms=ms, ls='-.')
if not legend_loc:
legend_loc = 'best'
if legend_labels:
ax1.legend(ax1.lines,
legend_labels,
loc=legend_loc,
prop=dict(size='medium'))
ax1.set_xlabel(xlabel)
ax1.set_ylabel(y1label)
ax1.grid(set_grid)
ax2.set_ylabel(y2label)
ax2.grid(set_grid)
if xlim:
ax1.set_xlim(xlim[0], xlim[1])
if y1lim:
ax1.set_ylim(y1lim[0], y1lim[1])
if y2lim:
ax2.set_ylim(y2lim[0], y2lim[1])
if cb_func:
cb_func(ax1, ax2, fig)
if not figdir:
ofile = ofn
else:
ofile = joinpath(figdir, ofn)
fig.savefig(ofile, bbox_inches='tight')
def line_plot(df, x_col, y_col, series_col, xlabel=None,
ylabel=None, llabel=None, title=None, lncols=None, ms=None,
lloc=None, figsize=None, marker_list=None, fontsize=None,
legend_fontsize=None, figdir=None, ofn=None, **kwargs):
# Setup default values
if not marker_list:
marker_list = marker_cycle
if not ms:
ms = marker_size[0]
if not xlabel:
xlabel = x_col
if not ylabel:
ylabel = y_col
if not llabel:
llabel = series_col
if not lloc:
lloc = 'best'
if not ofn:
ofn = 'line_plot.png'
if not figsize:
figsize = (8, 6)
if not fontsize:
fontsize = 14
if not legend_fontsize:
legend_fontsize = fontsize
df2 = df.pivot(x_col, series_col, y_col)
if not lncols:
lncols = 1
elif lncols == 'flat':
lncols = len(df2.columns)
fig = plt.figure(figsize=figsize)
axes = fig.add_subplot(111)
# x = range(1, len(df[x_col])+1)
df2.plot(ax=axes, fontsize=fontsize, linewidth=3, ms=ms,
style=['{0}-'.format(m) for _, m in zip(df2.columns, icycle(marker_list))], **kwargs)
# if series.dtype == np.dtype('object'):
# for ser, marker, ms in zip(series, icycle(marker_list), icycle(ms_list)):
# df2 = df.query('{0} == "{1}"'.format(series_col, ser))[[x_col, y_col]]
# # axes.plot(df[x_col], df[y_col], marker=marker, ms=ms)
# df2.plot(x=x_col, y=y_col, axes=axes, marker=marker, ms=ms, **kwargs)
# else:
# for ser, marker, ms in zip(series, icycle(marker_list), icycle(ms_list)):
# df2 = df.query('{0} == {1}'.format(series_col, ser))[[x_col, y_col]]
# # axes.plot(df[x_col], df[y_col], marker=marker, ms=ms)
# df2.plot(x=x_col, y=y_col, axes=axes, marker=marker, ms=ms, **kwargs)
axes.legend(title=llabel, loc=lloc, ncol=lncols, fontsize=legend_fontsize)
axes.set_xlabel(xlabel, fontdict={'fontsize': fontsize})
axes.set_ylabel(ylabel, fontdict={'fontsize': fontsize})
if not figdir:
ofile = ofn
else:
ofile = joinpath(figdir, ofn)
fig.savefig(ofile, bbox_inches='tight')
def plot_twinx(x_list, y1_lists, y2_lists, xlabel, y1label, y2label,
legend_labels=None, legend_loc=None, title=None,
xlim=None, y1lim=None, y2lim=None, set_grid=False,
figsize=None, marker_list=None, ms_list=None,
figdir=None, ofn=None, cb_func=None):
if not marker_list:
marker_list = marker_cycle
if not ofn:
ofn = 'twinx_plot.png'
if not figsize:
figsize = (8, 6)
fig = plt.figure(figsize=figsize)
ax1 = fig.add_subplot(111)
ax2 = ax1.twinx()
if title:
ax1.set_title(title)
if not ms_list:
ms_list = marker_size
for y1, marker, ms in zip(y1_lists, icycle(marker_list), icycle(ms_list)):
ax1.plot(x_list, y1, marker=marker, ms=ms)
for y2, marker, ms in zip(y2_lists, icycle(marker_list), icycle(ms_list)):
ax2.plot(x_list, y2, marker=marker, ms=ms, ls='-.')
if not legend_loc:
legend_loc = 'best'
if legend_labels:
ax1.legend(ax1.lines, legend_labels, loc=legend_loc, prop=dict(size='medium'))
ax1.set_xlabel(xlabel)
ax1.set_ylabel(y1label)
ax1.grid(set_grid)
ax2.set_ylabel(y2label)
ax2.grid(set_grid)
if xlim:
ax1.set_xlim(xlim[0], xlim[1])
if y1lim:
ax1.set_ylim(y1lim[0], y1lim[1])
if y2lim:
ax2.set_ylim(y2lim[0], y2lim[1])
if cb_func:
cb_func(ax1, ax2, fig)
if not figdir:
ofile = ofn
else:
ofile = joinpath(figdir, ofn)
fig.savefig(ofile, bbox_inches='tight')