-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathhighcharts.py
More file actions
147 lines (123 loc) · 4.23 KB
/
highcharts.py
File metadata and controls
147 lines (123 loc) · 4.23 KB
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
""" anyplot.ai
slope-basic: Basic Slope Chart (Slopegraph)
Library: highcharts unknown | Python 3.13.13
Quality: 75/100 | Updated: 2026-04-30
"""
import tempfile
import time
import urllib.request
from pathlib import Path
from highcharts_core.chart import Chart
from highcharts_core.options import HighchartsOptions
from highcharts_core.options.series.area import LineSeries
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
# Data: Product sales comparing Q1 vs Q4 (in thousands)
products = ["Product A", "Product B", "Product C", "Product D", "Product E", "Product F", "Product G", "Product H"]
q1_sales = [85, 120, 45, 95, 150, 72, 110, 63]
q4_sales = [110, 95, 88, 140, 125, 105, 145, 58]
# Colors: blue for increase, yellow for decrease
color_increase = "#306998" # Python Blue
color_decrease = "#FFD43B" # Python Yellow
# Create chart
chart = Chart(container="container")
chart.options = HighchartsOptions()
# Chart configuration
chart.options.chart = {
"type": "line",
"width": 4800,
"height": 2700,
"backgroundColor": "#ffffff",
"marginLeft": 350,
"marginRight": 350,
"marginBottom": 200,
"spacingBottom": 50,
}
# Title
chart.options.title = {
"text": "slope-basic · highcharts · pyplots.ai",
"style": {"fontSize": "64px", "fontWeight": "bold"},
}
# Subtitle
chart.options.subtitle = {"text": "Product Sales: Q1 vs Q4 (thousands)", "style": {"fontSize": "42px"}}
# X-axis (time points)
chart.options.x_axis = {
"categories": ["Q1", "Q4"],
"title": {"text": None},
"labels": {"style": {"fontSize": "36px", "fontWeight": "bold"}},
"lineWidth": 2,
"tickWidth": 0,
}
# Y-axis
chart.options.y_axis = {
"title": {"text": "Sales (thousands)", "style": {"fontSize": "36px"}},
"labels": {"style": {"fontSize": "28px"}},
"gridLineWidth": 1,
"gridLineDashStyle": "Dash",
"min": 0,
}
# Legend
chart.options.legend = {"enabled": False}
# Plot options for line styling
chart.options.plot_options = {
"line": {
"lineWidth": 6,
"marker": {"enabled": True, "radius": 16, "symbol": "circle"},
"dataLabels": {
"enabled": True,
"style": {"fontSize": "28px", "fontWeight": "normal", "textOutline": "none"},
"format": "{point.y}",
},
}
}
# Add series for each product
series_list = []
for i, product in enumerate(products):
start_val = q1_sales[i]
end_val = q4_sales[i]
# Determine color based on direction
color = color_increase if end_val >= start_val else color_decrease
series = LineSeries()
series.name = product
series.data = [
{"y": start_val, "dataLabels": {"align": "right", "x": -20, "format": f"{product}: {start_val}"}},
{"y": end_val, "dataLabels": {"align": "left", "x": 20, "format": f"{product}: {end_val}"}},
]
series.color = color
series_list.append(series)
chart.options.series = series_list
# Download Highcharts JS (required for headless Chrome)
highcharts_url = "https://code.highcharts.com/highcharts.js"
with urllib.request.urlopen(highcharts_url, timeout=30) as response:
highcharts_js = response.read().decode("utf-8")
# Generate HTML with inline scripts
html_str = chart.to_js_literal()
html_content = f"""<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<script>{highcharts_js}</script>
</head>
<body style="margin:0;">
<div id="container" style="width: 4800px; height: 2700px;"></div>
<script>{html_str}</script>
</body>
</html>"""
# Write temp HTML and take screenshot
with tempfile.NamedTemporaryFile(mode="w", suffix=".html", delete=False, encoding="utf-8") as f:
f.write(html_content)
temp_path = f.name
# Also save as plot.html for interactive version
Path("plot.html").write_text(html_content, encoding="utf-8")
chrome_options = Options()
chrome_options.add_argument("--headless")
chrome_options.add_argument("--no-sandbox")
chrome_options.add_argument("--disable-dev-shm-usage")
chrome_options.add_argument("--disable-gpu")
chrome_options.add_argument("--window-size=4800,2700")
driver = webdriver.Chrome(options=chrome_options)
driver.get(f"file://{temp_path}")
time.sleep(5) # Wait for chart to render
driver.save_screenshot("plot.png")
driver.quit()
Path(temp_path).unlink() # Clean up temp file