Python中的json文件数据可视化之制作交易收盘价折线图
Posted 椰汁软糖
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1 import json 2 import pygal 3 4 #将json数据添加到一个列表中 5 filename = \'btc_close_2017.json\' 6 with open(filename) as f: 7 btc_data = json.load(f) 8 9 #创建5个列表，分别存储日期和收盘价 10 dates, months, weeks, weekdays, close = [], [], [], [], [] 11 #将字符串转化为数字值 12 for btc_dict in btc_data: 13 # date = datetime.strptime(btc_dict[\'date\'], \'%Y-%m-%d\') 14 # dates.append(date) 15 dates.append(btc_dict[\'date\']) 16 months.append(int(btc_dict[\'month\'])) 17 weeks.append(int(btc_dict[\'week\'])) 18 weekdays.append(btc_dict[\'weekday\']) 19 close.append(int(float(btc_dict[\'close\']))) 20 #创建折线图实例，X轴标签顺时针旋转20度，不用显示所有X轴标签 21 line_chart = pygal.Line(x_label_rotation=20, show_minor_x_labels=False) 22 #标题 23 line_chart.title = \'收盘价\' 24 #X轴数据 25 line_chart.x_labels = dates 26 #X轴坐标隔20天显示一次 27 N = 20 28 line_chart.x_labels_major = dates[::N] 29 #添加Y轴信息 30 line_chart.add(\'收盘价\', close) 31 line_chart.render_to_file(\'aaa收盘价折线图.svg\')
Figure:
郑重提醒：代码千万别拼写错了，x_label_rotation=20拼写成x_label_ratation=20都把我的头搞大了。
下面做收盘价均值（包括月日均值、周日均值以及星期均值）：
1 import json 2 import pygal 3 import math 4 from itertools import groupby 5 6 #将json数据添加到一个列表中 7 filename = \'btc_close_2017.json\' 8 with open(filename) as f: 9 btc_data = json.load(f) 10 11 #创建5个列表，分别存储日期和收盘价 12 dates, months, weeks, weekdays, close = [], [], [], [], [] 13 #将字符串转化为数字值 14 for btc_dict in btc_data: 15 dates.append(btc_dict[\'date\']) 16 months.append(int(btc_dict[\'month\'])) 17 weeks.append(int(btc_dict[\'week\'])) 18 weekdays.append(btc_dict[\'weekday\']) 19 close.append(int(float(btc_dict[\'close\']))) 20 #创建折线图实例，X轴标签顺时针旋转20度，不用显示所有X轴标签 21 line_chart = pygal.Line(x_label_rotation=20, show_minor_x_labels=False) 22 line_chart_0 = pygal.Line(x_label_rotation=20, show_minor_x_labels=False) 23 #标题 24 line_chart.title = \'收盘价\' 25 line_chart_0.title = \'收盘价\' 26 #X轴数据 27 line_chart.x_labels = dates 28 line_chart_0.x_labels = dates 29 #X轴坐标隔20天显示一次 30 N = 20 31 line_chart.x_labels_major = dates[::N] 32 line_chart_0.x_labels_major = dates[::N] 33 #添加Y轴信息, 34 close_log = [math.log10(_) for _ in close] 35 line_chart.add(\'收盘价\', close_log) 36 line_chart_0.add(\'收盘价\', close) 37 line_chart.render_to_file(\'收盘价对数变换折线图.svg\') 38 line_chart_0.render_to_file(\'收盘价折线图.svg\') 39 40 def draw_line(x_data, y_data, title, y_legend): 41 xy_map = [] 42 43 for x, y in groupby(sorted(zip(x_data, y_data)), key=lambda _: _[0]): 44 y_list = [v for _, v in y] 45 xy_map.append([x, sum(y_list) / len(y_list)]) 46 47 x_unique, y_mean = [*zip(*xy_map)] 48 line_chart = pygal.Line() 49 line_chart.title = title 50 line_chart.x_labels = x_unique 51 line_chart.add(y_legend, y_mean) 52 line_chart.render_to_file(title+\'.svg\') 53 return line_chart 54 55 idx_month = dates.index(\'2017-12-01\') 56 line_chart_month = draw_line(months[:idx_month], close[:idx_month], \'收盘价月日均值\', \'月日均值\') 57 line_chart_month 58 59 idx_week = dates.index(\'2017-12-11\') 60 line_chart_week = draw_line(weeks[1:idx_week], close[1:idx_week], \'收盘价周日均值\', \'周日均值\') 61 line_chart_week 62 63 idx_week = dates.index(\'2017-12-11\') 64 wd = [\'Monday\', \'Tuesday\', \'Wednesday\', \'Thursday\', \'Friday\', \'Saturday\', \'Sunday\'] 65 weekdays_int = [wd.index(w) + 1 for w in weekdays[1:idx_week]] 66 line_chart_weekday = draw_line(weekdays_int, close[1:idx_week], \'收盘价星期均值\', \'星期均值\') 67 line_chart_weekday.x_labels = [\'周一\', \'周二\', \'周三\', \'周四\', \'周五\', \'周六\', \'周日\'] 68 line_chart_weekday.render_to_file(\'收盘价星期均值.svg\') 69 70 # with open(\'收盘价Dashboard.html\', \'w\', encoding=\'utf-8\') as html_file: 71 # html_file.write(\'<html><head><title>收盘价Dashboard</title><meta\' + 72 # \'charset = "utf-8"></head><body>\\n\') 73 # for svg in [ 74 # \'收盘价折线图.svg\', \'收盘价对数变换折线图.svg\', \'收盘价月日均值.svg\', 75 # \'收盘价周日均值.svg\', \'收盘价星期均值.svg\' 76 # ]: 77 # html_file.write( 78 # \' <object type="image/svg+xml" data="{0}" height=500></object>\\n\'.format(svg) 79 # ) 80 # html_file.write(\'</body></html>\')
相关知识点可以参考一篇非常好的博文https://segmentfault.com/a/1190000015098563
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