python学习笔记（3）——Python编程：从入门到实践 json练习详解~~

import pygal
import json
import math
from itertools import groupby


def draw_line(x_data, y_data, title, y_legend):
    xy_map = []
  for x, y in groupby(sorted(zip(x_data, y_data)), key=lambda _: _[0]):
        y_list = [v for _, v in y]
        xy_map.append([x, sum(y_list)/len(y_list)])
    x_unique, y_mean = [*zip(*xy_map)]
    line_chart = pygal.Line()
    line_chart.title = title
    line_chart.x_labels = x_unique
    line_chart.add(y_legend, y_mean)
    line_chart.render_to_file(title+'.svg')
    return line_chart

filename = 'btc_close_2017_request.json'
with open(filename) as f:
    btc_data = json.load(f)

for btc_dict in btc_data:
    date = btc_dict['date']
    month = int(btc_dict['month'])
    week = int(btc_dict['week'])
    weekday = btc_dict['weekday']
    close = int(float(btc_dict['close']))
    print("{} is month {} week {},{}.The close price is {} RMB".format(date, month, week, weekday, close))


dates, months, weeks, weekdays, closes = [], [], [], [], []
for btc_dict in btc_data:
    #
    dates.append(btc_dict['date'])
    months.append(int(btc_dict['month']))
    weeks.append(int(btc_dict['week']))
    weekdays.append(btc_dict['weekday'])
    closes.append(int(float(btc_dict['close'])))

idx_month = dates.index('2017-12-01')
line_chart_month = draw_line(months[:idx_month], closes[:idx_month], '收盘价月日均值', '月日均值')


line_chart = pygal.Line(x_label_rotation=20, show_minor_x_labels=False)
line_chart.title = '收盘价对数变换￥'
line_chart.x_labels = dates
N = 20     # x轴每隔20天显示一次
line_chart.x_labels_major = dates[::N]
close_log = [math.log10(_) for _ in closes]
line_chart.add('log收盘价', close_log)
line_chart.render_to_file('收盘对数变换价折线图￥.svg')
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def draw_line(x_data, y_data, title, y_legend):
    xy_map = []
 for x, y in groupby(sorted(zip(x_data, y_data)), key=lambda _: _[0]):
        y_list = [v for _, v in y]
        xy_map.append([x, sum(y_list)/len(y_list)])
    x_unique, y_mean = [*zip(*xy_map)]
    line_chart = pygal.Line()
    line_chart.title = title
    line_chart.x_labels = x_unique
    line_chart.add(y_legend, y_mean)
    line_chart.render_to_file(title+'.svg')
    return line_chart

idx_month = dates.index('2017-12-01')
line_chart_month = draw_line(months[:idx_month], closes[:idx_month], '收盘价月日均值', '月日均值')
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xy_map = []
 for x, y in groupby(sorted(zip(x_data, y_data)), key=lambda _: _[0]):
        y_list = [v for _, v in y]
        xy_map.append([x, sum(y_list)/len(y_list)])
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