def get(self, request, question_id):
print(request.session.get('HTTP_REFERER'))
question = get_object_or_404(Question, pk=question_id)
choices = Choice.objects.filter(question_id=question_id)
print(question_id)
choice_list = []
for choice in choices:
choice_list.append((choice.choice_text, choice.votes))
pie_path = 'polls/render/%s_charts.html' % question_id
if not os.path.exists(pie_path):
pie = charts.Pie()
pie.add(
question.question_text,
choice_list,
)
pie.render(pie_path)
else:
pie_mod_time = os.path.getmtime(pie_path)
print(pie_mod_time)
print(time.time())
print(time.time() - pie_mod_time)
if time.time() - pie_mod_time >= 60:
pie = charts.Pie()
pie.add(
question.question_text,
choice_list,
)
pie.render(pie_path)
chart = open(pie_path).read()
return HttpResponse(chart)
def get_viz(method, label, data):
if method == 'bar':
viz = charts.Bar()
viz.add_xaxis(label)
viz.add_yaxis('', data)
elif method == 'pie':
data = [list(d) for d in zip(label, data)]
viz = charts.Pie()
viz.add('', data)
return viz
money_ = None
if re.search(strr, '-'):
try:
strr_1, strr_2 = strr.split('-')
money_ = np.mean((float(strr_1.replace(',', '').strip('$')),
float(strr_2.replace(',', '').strip('$'))))
except:
money_ = None
return money_
# 转化价格为浮点数
price = data_df['goods_price'].map(money_change)
price_bins = [0, 15, 20, 25, 30, 35, 40, 100]
bins_values = pd.cut(price, bins=price_bins).value_counts()
e_bin_list = [(str(price_bins[m]) + '-' + str(price_bins[m + 1]), n)
for m, n in zip(range(len(price_bins)), bins_values.tolist())]
data_pie = (chas.Pie().add(
"价格区间",
e_bin_list,
center=['50%', '50%'],
radius=['30%', '75%'],
rosetype='area',
label_opts=opts.LabelOpts(is_show=True, formatter='价格区间{b}：共{c}个，占{d}%'),
).set_global_opts(legend_opts=opts.LegendOpts(is_show=True), ))
data_pie.render_notebook()
amazon_kline = (chas.Kline().add)
def create_pie( col_name, y_list):
pie = charts.Pie()
pie.add(col_name, y_list)
pie.render("Main/Sources/pie.html")
line.add_yaxis(series_name='A',y_axis = y1)
line.render(r'D:\Python Spyder\数据可视化\My PyEcharts\折线图4.html')
#====================================================================
# 饼图
#构建饼图数据
x_data = ['直接访问','营销推广','博客推荐','搜索引擎']
y_data = [800,214,300,1100]
# Pie 设置指定的格式
data_pair = list(zip(x_data,y_data))
print(data_pair)
# 画饼图
pie = pyec.Pie()
pie.add(series_name='推广渠道',data_pair=data_pair,
# 环形图
radius=['40%','75'])
pie.render(r'D:\Python Spyder\数据可视化\My PyEcharts\环形图.html')
#====================================================================
# 撒点图
# 生成数据
import numpy as np
x = np.linspace(0,10,30)
y1 = np.sin(x)
scatter = pyec.Scatter()