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
|
from typing import Dict, List, Tuple
import pygal
from pygal.style import CleanStyle
def ia_coverage_histogram(rows: List[Tuple]) -> pygal.Graph:
"""
Note: this returns a raw pygal chart; it does not render it to SVG/PNG
Rows are tuples of: (year: float or int, in_ia: bool, count: int)
"""
raw_years = [int(r[0]) for r in rows]
years = dict()
if raw_years:
for y in range(min(raw_years), max(raw_years) + 1):
years[int(y)] = dict(year=int(y), available=0, missing=0)
for r in rows:
if r[1]:
years[int(r[0])]["available"] = r[2]
else:
years[int(r[0])]["missing"] = r[2]
years = sorted(years.values(), key=lambda x: x["year"])
CleanStyle.colors = ("green", "purple")
label_count = len(years)
if len(years) > 20:
label_count = 10
chart = pygal.StackedBar(
dynamic_print_values=True,
style=CleanStyle,
width=1000,
height=500,
x_labels_major_count=label_count,
show_minor_x_labels=False,
)
# chart.title = "Perpetual Access Coverage"
chart.x_title = "Year"
# chart.y_title = "Releases"
chart.x_labels = [str(y["year"]) for y in years]
chart.add("via Fatcat", [y["available"] for y in years])
chart.add("Missing", [y["missing"] for y in years])
return chart
def preservation_by_year_histogram(
rows: List[Dict], merge_shadows: bool = False
) -> pygal.Graph:
"""
Note: this returns a raw pygal chart; it does not render it to SVG/PNG
Rows are dict with keys as preservation types and values as counts (int).
There is also a 'year' key with float/int value.
"""
years = sorted(rows, key=lambda x: x["year"])
if merge_shadows:
CleanStyle.colors = ("red", "darkolivegreen", "limegreen")
else:
CleanStyle.colors = ("red", "darkred", "darkolivegreen", "limegreen")
label_count = len(years)
if len(years) > 30:
label_count = 10
chart = pygal.StackedBar(
dynamic_print_values=True,
style=CleanStyle,
width=1000,
height=500,
x_labels_major_count=label_count,
show_minor_x_labels=False,
x_label_rotation=20,
)
# chart.title = "Preservation by Year"
chart.x_title = "Year"
# chart.y_title = "Count"
chart.x_labels = [str(y["year"]) for y in years]
if merge_shadows:
chart.add("None", [y["none"] + y["shadows_only"] for y in years])
else:
chart.add("None", [y["none"] for y in years])
chart.add("Shadow", [y["shadows_only"] for y in years])
chart.add("Dark", [y["dark"] for y in years])
chart.add("Bright", [y["bright"] for y in years])
return chart
def preservation_by_date_histogram(
rows: List[Dict], merge_shadows: bool = False
) -> pygal.Graph:
"""
Note: this returns a raw pygal chart; it does not render it to SVG/PNG
Rows are dict with keys as preservation types and values as counts (int).
There is also a 'date' key with str value.
"""
dates = sorted(rows, key=lambda x: x["date"])
if merge_shadows:
CleanStyle.colors = ("red", "darkolivegreen", "limegreen")
else:
CleanStyle.colors = ("red", "darkred", "darkolivegreen", "limegreen")
label_count = len(dates)
if len(dates) > 30:
label_count = 10
chart = pygal.StackedBar(
dynamic_print_values=True,
style=CleanStyle,
width=1000,
height=500,
x_labels_major_count=label_count,
show_minor_x_labels=False,
x_label_rotation=20,
)
# chart.title = "Preservation by Date"
chart.x_title = "Date"
# chart.y_title = "Count"
chart.x_labels = [str(y["date"]) for y in dates]
if merge_shadows:
chart.add("None", [y["none"] + y["shadows_only"] for y in dates])
else:
chart.add("None", [y["none"] for y in dates])
chart.add("Shadow", [y["shadows_only"] for y in dates])
chart.add("Dark", [y["dark"] for y in dates])
chart.add("Bright", [y["bright"] for y in dates])
return chart
def preservation_by_volume_histogram(
rows: List[Dict], merge_shadows: bool = False
) -> pygal.Graph:
"""
Note: this returns a raw pygal chart; it does not render it to SVG/PNG
Rows are dict with keys as preservation types and values as counts (int).
There is also a 'volume' key with str value.
"""
volumes = sorted(rows, key=lambda x: x["volume"])
if merge_shadows:
CleanStyle.colors = ("red", "darkolivegreen", "limegreen")
else:
CleanStyle.colors = ("red", "darkred", "darkolivegreen", "limegreen")
label_count = len(volumes)
if len(volumes) >= 30:
label_count = 10
chart = pygal.StackedBar(
dynamic_print_values=True,
style=CleanStyle,
width=1000,
height=500,
x_labels_major_count=label_count,
show_minor_x_labels=False,
x_label_rotation=20,
)
# chart.title = "Preservation by Volume"
chart.x_title = "Volume"
# chart.y_title = "Count"
chart.x_labels = [str(y["volume"]) for y in volumes]
if merge_shadows:
chart.add("None", [y["none"] + y["shadows_only"] for y in volumes])
else:
chart.add("None", [y["none"] for y in volumes])
chart.add("Shadow", [y["shadows_only"] for y in volumes])
chart.add("Dark", [y["dark"] for y in volumes])
chart.add("Bright", [y["bright"] for y in volumes])
return chart
|
