def pic_bar_microchip(values, label):
pictorialbar = PictorialBar(
init_opts=opts.InitOpts(width='480px', height='700px'))
pictorialbar.add_xaxis(label)
pictorialbar.add_yaxis("",
values[0],
symbol_size=18,
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='#F95DBA',
gap='-100%',
symbol_margin=10,
label_opts=opts.LabelOpts(is_show=False))
pictorialbar.add_yaxis("高通骁龙",
values[1],
symbol_size=18,
label_opts=opts.LabelOpts(is_show=False),
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='#FFCE2B',
gap='-100%',
symbol_margin=10)
pictorialbar.add_yaxis("联发科天玑/MT",
values[2],
label_opts=opts.LabelOpts(is_show=False),
symbol_size=18,
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='#009688',
gap='-100%',
symbol_margin=10)
pictorialbar.add_yaxis("华为麒麟",
values[3],
yaxis_index=0,
label_opts=opts.LabelOpts(is_show=False),
symbol_size=18,
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='#1720D1',
gap='-100%',
symbol_margin=10)
pictorialbar.add_yaxis("三星Exynos",
values[4],
yaxis_index=0,
label_opts=opts.LabelOpts(is_show=False),
symbol_size=18,
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='white',
gap='-100%',
symbol_margin=10)
pictorialbar.set_global_opts(
xaxis_opts=opts.AxisOpts(is_show=False),
yaxis_opts=opts.AxisOpts(
is_show=True, axistick_opts=opts.AxisTickOpts(is_show=False)),
legend_opts=opts.LegendOpts(pos_bottom='9%',
pos_right='10%',
orient='vertical',
item_width=18,
item_height=18),
title_opts=opts.TitleOpts(title='各品牌5G手机芯片比较',
pos_left='center',
pos_top='2%'))
pictorialbar.reversal_axis()
pictorialbar.render('各品牌5G手机芯片比较.html')
def pic_bar_price(values, label):
"""
5G手机价位比较
"""
# 初始化，设置图表大小
pictorialbar = PictorialBar(
init_opts=opts.InitOpts(width='480px', height='700px'))
# x轴标签信息
pictorialbar.add_xaxis(label)
# 添加象形图
pictorialbar.add_yaxis("",
values[0],
symbol_size=18,
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='#FCA46A',
gap='-100%',
symbol_margin=10,
label_opts=opts.LabelOpts(is_show=False))
pictorialbar.add_yaxis("5000元及以上",
values[1],
symbol_size=18,
label_opts=opts.LabelOpts(is_show=False),
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='#F95DBA',
gap='-100%',
symbol_margin=10)
pictorialbar.add_yaxis("3000-4999元",
values[2],
label_opts=opts.LabelOpts(is_show=False),
symbol_size=18,
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='#4E70F0',
gap='-100%',
symbol_margin=10)
pictorialbar.add_yaxis("1000-2999元",
values[3],
yaxis_index=0,
label_opts=opts.LabelOpts(is_show=False),
symbol_size=18,
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='#1720D1',
gap='-100%',
symbol_margin=10)
pictorialbar.add_yaxis("999元及以下",
values[4],
yaxis_index=0,
label_opts=opts.LabelOpts(is_show=False),
symbol_size=18,
symbol_repeat='20',
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol='rect',
color='white',
gap='-100%',
symbol_margin=10)
pictorialbar.set_global_opts(
# 隐藏x坐标轴
xaxis_opts=opts.AxisOpts(is_show=False),
# 显示y坐标轴，隐藏刻度线
yaxis_opts=opts.AxisOpts(
is_show=True, axistick_opts=opts.AxisTickOpts(is_show=False)),
# 显示图例，设置图例位置
legend_opts=opts.LegendOpts(pos_bottom='9%',
pos_right='10%',
orient='vertical',
item_width=18,
item_height=18),
# 添加标题，设置标题位置
title_opts=opts.TitleOpts(title='各品牌5G手机价位比较',
pos_left='center',
pos_top='2%'))
pictorialbar.reversal_axis()
pictorialbar.render('各品牌5G手机价位比较.html')
elif wea[-1:] == '雨':
wea = weather_dict['rain']
elif wea[-1:] == '阴':
wea = weather_dict['overcast']
return wea
# 获取降水和温度信息
weather_data = map(check_weather, zhongqiu['wea'].values.tolist())
weather_data = list(weather_data)
tem_data = map(trans_tem, zhongqiu['tem'].values.tolist())
tem_data = list(tem_data)
# 降水和温度柱状图
pictorialbar = PictorialBar()
pictorialbar.add_xaxis(zhongqiu_city)
pictorialbar.add_yaxis(
"weather", weather_data,
label_opts=opts.LabelOpts(is_show=False),
symbol_size=18,
symbol_repeat="fixed",
symbol_offset=[0, 0],
is_symbol_clip=True,
symbol=SymbolType.ROUND_RECT
)
pictorialbar.add_yaxis(
"temperature", tem_data,
label_opts=opts.LabelOpts(is_show=False),
symbol_size=18,
symbol_repeat="fixed",
symbol_offset=[0, 0],
