-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathquickplot.py
273 lines (231 loc) · 12.9 KB
/
quickplot.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
#!/usr/bin/python3
import argparse
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter, MaxNLocator
#import logging
parser = argparse.ArgumentParser()
#figure type options
parser.add_argument("--barplot", dest="barplot", action="store_false", help="Draw a bar plot (enabled by defaul)")
parser.add_argument("--scatterplot", dest="scatterplot", action="store_true", help="Draw a scatter plot")
parser.add_argument("--lineplot", dest="lineplot", action="store_true", help="Draw a line plot")
parser.add_argument("--stacked", dest="stacked", action="store_true", help="Stack multiple bars (clustered by default)")
#data options
parser.add_argument("-i", "--input-files", dest="input_files", nargs='*', required=True, help="Input data file to be plotted")
parser.add_argument("-o", "--output-file", dest="output_file", default="out.pdf", help="Output figure")
parser.add_argument("-y", "--ydata", dest="ydata", nargs='*', required=True, help="Data to plot on y axis")
parser.add_argument("-x", "--xdata", dest="xdata", default='NA', help="Data to plot on x axis")
parser.add_argument("--ylabel", dest="ylabel", default='y', help="Label for y axis")
parser.add_argument("--xlabel", dest="xlabel", default='x', help="Labe:/l for x axis")
parser.add_argument("--labels", dest="labels", nargs="*", help="Labels for the corresponding input files")
parser.add_argument("--auto-labels", dest="auto_labels", action="store_true", help="Automatically try to get labels from input data")
parser.add_argument("--title", dest="title", default='', help="Plot title")
#legend options
parser.add_argument("--remove-legend", dest="legend_enabled", action="store_false", help="Remove legend from figure")
parser.add_argument("--legend-position", dest="legend_position", default="best", help="Define legend position")
parser.add_argument("--legend-columns", dest="legend_cols", default=2, help="Number of columns for the legend")
parser.add_argument("--legend-font-size", dest="legend_fontsize", default=14, help="Define legend position")
#grid and axis options
parser.add_argument("--enable-major-gridlines", dest="enable_major_gridlines", action="store_true", help="Show major gridlines")
parser.add_argument("--xaxis-percentages", dest="xaxis_percentages", action="store_true", help="Set x axis tick labels to percentages")
parser.add_argument("--disable-xticks", dest="disable_xticks", action="store_true", help="Do not show xticks")
parser.add_argument("--xticks-rotate-by", dest="xticks_rotate_by", default=0, help="Rotate xtick labels by N degrees")
parser.add_argument("--xticks-labels", dest="xticks_labels", nargs="*", default=None, help="Set custom labels for xticks")
parser.add_argument("--xticks-step", dest="xticks_step", default=1, help="Set custom step for xticks")
parser.add_argument("--xticks-labelsize", dest="xticks_labelsize", default=16, help="Set plot's xticks label font size")
parser.add_argument("--yrange", dest="yrange", nargs=2, default=None, help="Set range for y axis")
parser.add_argument("--xrange", dest="xrange", nargs=2, default=None, help="Set range for x axis")
#general aesthetics
parser.add_argument("--plot-size-inches", dest="plot_size_inches", nargs="*", help="Set plot size (inches)")
parser.add_argument("--font-size", dest="font_size", default="18", help="Set plot's font size")
parser.add_argument("--bar-width", dest="bar_width", default=0.8, help="Bar width")
parser.add_argument("--line-width", dest="line_width", default=1, help="Line width")
parser.add_argument("--point-size", dest="point_size", default=5, help="Point size")
parser.add_argument("--custom-markers", dest="markers", default=None, help="Custom markers")
parser.add_argument("--marker-step", dest="marker_step", default=1, help="Set marker step, in case plot has too many data points")
parser.add_argument("--add-marker-points", dest="add_markers", action="store_true", help="Adds marker points to lineplot")
parser.add_argument("--custom-linestyles", dest="linestyles", default=None, help="Custom linetypes")
parser.add_argument("--custom-color-palette", dest="custom_color_palette", nargs="*", required=False, help="Define a custom color palette (expects hex values seperated by spaces)")
parser.add_argument("--choose-color-palette", dest="color_palette", default="default", help="Choose a predefined color palette (default, greyscale, metro_ui, program)")
parser.add_argument("--style-xkcd", dest="style_xkcd_enabled", action="store_true", help="Create an xkcd style plot")
parser.add_argument("--normalize-x-by", dest="norm_x_by", default=None, help="Normalize x axis data by n")
parser.add_argument("--normalize-y-by", dest="norm_y_by", default=None, help="Normalize y axis data by n")
parser.add_argument("--xaxis-log-scale", dest="xaxis_log_scale", action="store_true", help="Use log scale for x axis")
parser.add_argument("--yaxis-log-scale", dest="yaxis_log_scale", action="store_true", help="Use log scale for y axis")
#TODO: scale axes
args = parser.parse_args()
#logging.basicConfig(level=logging.DEBUG, format='%(message)s')
matplotlib.rcParams.update({'font.size': args.font_size})
#def format_fn(tick_val, tick_pos):
# if int(tick_val) in xs:
# return args.xticks_labels[int(tick_val)]
# else:
# return ''
#init figure
if args.style_xkcd_enabled:
plt.xkcd()
plt.style.use('default')
#plt.style.use('classic')
#plt.style.use('seaborn-whitegrid')
#plt.style.use('ggplot')
fig = plt.figure(figsize = (8, 4))
ax = fig.add_subplot(1, 1, 1)
#ax.spines['right'].set_color('none')
#ax.spines['top'].set_color('none')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.get_xaxis().tick_bottom()
ax.get_yaxis().tick_left()
ax.ticklabel_format(useOffset=False)
ax.set_axisbelow(True)
plt.margins(x=0.01)
if args.yaxis_log_scale:
ax.set_yscale('symlog')
if args.xaxis_log_scale:
ax.set_xscale('symlog')
if args.enable_major_gridlines:
ax.grid(b=True, color='grey', alpha=0.5, which='major', linestyle='--', linewidth=.5)
#grid(color='r', linestyle='-', linewidth=2)
#plt.xticks([], [])
#plt.yticks([])
#plt.xticks(rotation=args.xticks_rotate_by, verticalalignment='bottom')
plt.xlabel(args.xlabel)
plt.ylabel(args.ylabel)
plt.title(args.title)
#plt.yticks(np.arange(0, 14000, 2000), ('0', '2', '4', '6', '8', '10', '12'))
#plt.locator_params(axis='x', nbins=10)
#choose built-in color palette
color_palettes = { "default" : ["b", "r", "g", "m", "y"],
"greyscale" : ["#000000", "#7b7d7b", "#969696", "#bfbfbf", "#ebebeb"],
"metro_ui" : ["#00aedb", "#d11141", "#00b159", "#ffc425", "#f37735", "#ff0097", "#9f00a7", "#00aba9", "#eff4ff", "#99b433"],
"program" : ["#00a0b0", "#cc2a36", "#4f372d", "#edc951", "#eb6841"],
}
markers=["o", "s", "^", "v", "<", ">", "d", 'P', 'X']
markers=["X", "P"]
if args.markers != None:
markers=args.markers
#linestyles=["-", "--", "-.", "-", "-"]
linestyles=["-", "--", ":", "-.", "-"]
if args.linestyles != None:
linestyles=args.linestyles
if args.custom_color_palette != None:
colors=args.custom_color_palette
else:
colors=color_palettes[args.color_palette]
line_no = 0
file_no = 0
for input_file in args.input_files:
df = pd.read_csv(input_file)
# apply data transformation, normalization, etc
if args.norm_y_by != None:
df[args.ydata] = df[args.ydata] * float(args.norm_y_by)
if args.norm_x_by != None:
df[args.xdata] = df[args.xdata] * float(args.norm_x_by)
for y in args.ydata:
ydata = df[y]
if args.xdata != "NA":
xdata = df[args.xdata]
if not args.lineplot:
plt.xticks(range(len(xdata)), xdata)
else:
xdata = range(0, len(ydata))
plt.xticks([])
if args.labels is not None:
label = args.labels.pop(0)
elif args.auto_labels:
label = y
else:
label = "line " + str(line_no)
color = colors[line_no % len(colors)]
if args.scatterplot:
marker = markers[line_no % len(markers)]
size=float(args.point_size)
else:
if args.add_markers:
marker = markers[line_no % len(markers)]
else:
marker = ","
linestyle = linestyles[line_no % len(linestyles)]
size=float(args.line_width)
point_size=float(args.point_size)
# if line_no == 0:
# if args.scatterplot:
# ax.plot(range(len(ydata)), ydata, marker, markersize=size, label=label, color=color)
# elif args.lineplot:
# ax.plot(xdata[1::10], ydata[1::10], linestyle=linestyle, linewidth=size, marker=marker, markersize=point_size, markevery=int(args.marker_step), label=label, color=color)
# else:
# ax.bar(range(len(ydata)), ydata, width=float(args.bar_width), align='center', label=label, color=color)
if args.stacked:
if args.scatterplot:
ax.plot(range(len(ydata)), ydata, marker, markersize=size, label=label, color=color, markeredgewidth=0.5, markeredgecolor='black')
elif args.lineplot:
ax.plot(xdata[1::10], ydata[1::10], linestyle, linewidth=size, marker=marker, markersize=point_size, markevery=int(args.marker_step), label=label, color=color)
else:
ax.bar(range(len(ydata)), ydata, width=float(args.bar_width), align='center', label=label, color=color, bottom=stacked_ydata, edgecolor='black', linewidth=0.01)
stacked_ydata += ydata
else:
if args.scatterplot:
ax.plot(range(len(ydata)), ydata, marker, markersize=size, label=label, color=color, markeredgewidth=0.5, markeredgecolor='black')
elif args.lineplot:
ax.plot(xdata[1::10], ydata[1::10], linestyle, linewidth=size, marker=marker, markersize=point_size, markevery=int(args.marker_step), label=label, color=color)
else:
gap = 0.1
width = (1 - gap) / len(args.ydata)
pos = [j - (1 - gap) / 2 + line_no * width - 1 for j in range(1, len(ydata) + 1)]
ax.bar(pos, ydata, width, label=label, color=color, edgecolor='black', linewidth=0.01)
#ax.bar([line_no*width + x for x in range(len(ydata))], ydata, width, label=label, color=color)
line_no += 1
file_no += 1
if args.disable_xticks:
plt.xticks([], [])
elif args.xticks_labels != None:
#ax.set_xticks(args.xticks_labels)
#ax.set_xticks(ax.get_xticks()[::len(ax.get_xticks()) // 10000]) # set new tick positions
ax.set_xticklabels(ax.get_xticklabels(), rotation = int(args.xticks_rotate_by), ha="right")
#ax.set_xticks( np.geomspace(0, 20000 ,15).round() )
else:
ax.set_xticks(ax.get_xticks()[::int(args.xticks_step)])
plt.setp(ax.get_xticklabels(), ha="right", rotation = int(args.xticks_rotate_by))
# DISABLE scientific notation in y axis
# ax.ticklabel_format(style='plain', axis='y')
plt.tick_params(labelsize=args.xticks_labelsize)
if args.legend_enabled and line_no > 1:
if args.legend_position == "above":
box = ax.get_position()
ax.set_position([box.x0, box.y0 + 0.1, box.width, box.height * 0.65])
lgnd = ax.legend(loc='center', bbox_to_anchor=(0.5, 1.3), prop={'size':args.legend_fontsize}, ncol=int(args.legend_cols))
elif args.legend_position == "below":
box = ax.get_position()
ax.set_position([box.x0, box.y0 + .3, box.width, box.height * 0.65])
lgnd = ax.legend(loc='center', bbox_to_anchor=(0.5, -0.5), prop={'size':args.legend_fontsize}, ncol=int(args.legend_cols))
elif args.legend_position == "outside":
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.9, box.height])
lgnd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), prop={'size':args.legend_fontsize})
else:
lgnd = ax.legend(loc=args.legend_position, bbox_to_anchor=(1, 0.5), prop={'size':args.legend_fontsize})
if args.xaxis_percentages:
vals = ax.get_yticks()
ax.set_yticklabels(['{:3.0f}%'.format(x) for x in vals])
if args.yrange != None:
x = args.yrange.pop(0)
y = args.yrange.pop(0)
ax.set_ylim(float(x), float(y))
if args.xrange != None:
x = args.xrange.pop(0)
y = args.xrange.pop(0)
ax.set_xlim(float(x), float(y))
#plt.semilogx()
#plt.semilogy()
#plt.xlim()
if args.plot_size_inches != None:
x = args.plot_size_inches.pop(0)
y = args.plot_size_inches.pop(0)
fig.set_size_inches(float(x), float(y))
#plt.tight_layout()
if args.legend_enabled and line_no > 1:
fig.savefig(args.output_file, bbox_extra_artists=(lgnd,), bbox_inches='tight')
else:
fig.savefig(args.output_file, bbox_inches='tight')