def stat_area_trend():
df = load_data()
df['发证月份'] = [i[:7] for i in df['发证日期']]
summary = df.groupby('发证月份').sum()
columns_area = ['预售建筑面积', '总建筑面积', '住宅面积', '办公面积', '其他面积', '车库面积']
columns_other = ['层数', '住宅套数']
chart = Line()
chart.add_xaxis(summary.index.tolist())
for column in columns_area:
chart.add_yaxis(column,
summary[column].tolist(),
areastyle_opts=opts.AreaStyleOpts(opacity=0.1),
is_smooth=True)
chart.set_series_opts(label_opts=opts.LabelOpts(
is_show=False), ).extend_axis(yaxis=opts.AxisOpts(
axislabel_opts=opts.LabelOpts(is_show=False), is_show=False))
bar = Bar()
bar.add_xaxis(summary.index.tolist())
for column in columns_other:
bar.add_yaxis(column, summary[column].tolist(), yaxis_index=1)
chart.overlap(bar)
min_date = min(df['发证日期'])
max_date = max(df['发证日期'])
chart.set_global_opts(title_opts=opts.TitleOpts(
title="长沙预售房屋面积变化趋势",
subtitle="统计日期:{}至{}，数据来源：{}".format(min_date, max_date, DATA_SOURCE)),
legend_opts=opts.LegendOpts(is_show=True),
toolbox_opts=opts.ToolboxOpts(is_show=True))
filename = os.path.join('..', 'assets',
'01_changsha_zhufangyushou_面积趋势.html')
chart.render(filename)
def buy_sell_line(self, tradelist):
l = Line(init_opts=opts.InitOpts(width=self.width, height=self.height))
l.set_global_opts(datazoom_opts=opts.DataZoomOpts(type_="inside"))
x = self.time
y = [None for i in range(len(x))]
l.add_xaxis(x)
l1 = Line(init_opts=opts.InitOpts(width=self.width, height=self.height))
l2 = Line(init_opts=opts.InitOpts(width=self.width, height=self.height))
l3 = Line(init_opts=opts.InitOpts(width=self.width, height=self.height))
l4 = Line(init_opts=opts.InitOpts(width=self.width, height=self.height))
l1.set_global_opts(datazoom_opts=opts.DataZoomOpts(type_="inside"))
l2.set_global_opts(datazoom_opts=opts.DataZoomOpts(type_="inside"))
l3.set_global_opts(datazoom_opts=opts.DataZoomOpts(type_="inside"))
l4.set_global_opts(datazoom_opts=opts.DataZoomOpts(type_="inside"))
for d in tradelist:
# 多头
if d[6] == 1:
# 多头盈利
if d[7] > 0:
l1.add_xaxis([d[0], d[3]])
l1.add_yaxis("long_win", [d[1], d[4]],
is_connect_nones=True,
linestyle_opts=opts.LineStyleOpts(color="#FFD700", width=5),
itemstyle_opts=opts.ItemStyleOpts(color="#FFD700", opacity=0.6))
# 多头亏损
else:
l2.add_xaxis([d[0], d[3]])
l2.add_yaxis("long_loss", [d[1], d[4]],
is_connect_nones=True,
linestyle_opts=opts.LineStyleOpts(color="#0088F0", width=3),
itemstyle_opts=opts.ItemStyleOpts(color="#0088F0", opacity=0.6))
# 空头
elif d[6] == -1:
# 空头盈利
if d[7] > 0:
l3.add_xaxis([d[0], d[3]])
l3.add_yaxis("short_win", [d[1], d[4]],
is_connect_nones=True,
linestyle_opts=opts.LineStyleOpts(color="#80008f", width=5),
itemstyle_opts=opts.ItemStyleOpts(color="#80008f", opacity=0.6))
# 空头亏损
else:
l4.add_xaxis([d[0], d[3]])
l4.add_yaxis("short_loss", [d[1], d[4]],
is_connect_nones=True,
linestyle_opts=opts.LineStyleOpts(color="#00FA9A", width=3),
itemstyle_opts=opts.ItemStyleOpts(color="#00FA9A", opacity=0.6))
l.overlap(l1)
l.overlap(l2)
l.overlap(l3)
l.overlap(l4)
return l
death_type] #death_type是不同的国家
if len(df_value) > 0: #57-60，把没有新闻量的日期设置为0
y.append(int(df_value))
else:
y.append(0)
b.add_yaxis(
death_type + " daily cases",
y,
yaxis_index=1, #放在底层
itemstyle_opts=opts.ItemStyleOpts(color='orange',
opacity=0.9), #每根柱是什么样式
markpoint_opts=opts.MarkPointOpts(
data=[opts.MarkPointItem(type_="max", name="最大值")],
symbol_size=70),
label_opts=opts.LabelOpts(is_show=False))
overlap = c.overlap(b) #两个图重合
overlap.render(publisher + '.html')
international_color_dic = {
'UK': '#c23531',
'US': '#2f4554',
'China': 'orange'
}
l = Line()
publish_date = []
for d in dates: #回应24、25行
publish_date = list(set(publish_date + [key for key in d]))
publish_date.sort()
l.add_xaxis(publish_date)
for i in range(len(dates)):
type_="log", # 坐标轴配置项
splitline_opts=opts.SplitLineOpts(is_show=True), # 分割线配置项
axisline_opts=opts.AxisLineOpts(is_show=True))))
lin.render()
lin.overlap(bar)
lin.render()
get_line()
value = [95.1, 23.2, 43.3, 66.4, 88.5]
attr = ["China", "Canada", "Brazil", "Russia", "United States"]
map = Map("世界地图示例")
map.add("",
attr,
value,
maptype="world",
is_visualmap=True,
visual_text_color='#000')
map.render('Map-World.html')
bar = Bar()
bar.add_xaxis(["1月1日", "1月2日"])
bar.add_yaxis("类别1", [33, 34])
bar.add_yaxis("类别2", [40, 42])
line = Line()
line.add_xaxis(["1月1日", "1月2日"])
line.add_yaxis("类别1", [22, 24])
line.add_yaxis("类别2", [30, 33])
line.overlap(bar)
line.render()
# -*- encoding: utf-8 -*-
# Project :zs
# Time :2019/7/22 下午7:32
# BY :FormatFa
from pyecharts.charts import Bar,Line
b = Bar()
b.add_xaxis(['one','two','three'])
b.add_yaxis('s1',[1,2,3])
l = Line()
l.add_xaxis(['one','two','three','four'])
l.add_yaxis('s2',[1,2,3])
l.overlap(b)
print(b)
print(l.dump_options())
l.render('test.html')
class TsdaChart(base_chart.BaseChart):
chart = None
max_x = None
min_x = None
def __init__(self, title, xaxis_name, yaxis_name):
base_chart.BaseChart.__init__(self, title, xaxis_name, yaxis_name)
def clear(self):
self.data.clear()
def set_data(self, **data):
if ('x' in data) & ('y' in data):
self.max_x = max(data['x'])
self.min_x = min(data['x'])
if 'label' in data:
self.data.append([data['x'], data['y'], data['label']])
else:
self.data.append([data['x'], data['y']])
return self
def show(self):
return self.chart
def plot(self):
self.chart = Line(init_opts=opts.InitOpts(page_title=self.title))
# load data
self.chart.add_xaxis(self.data[0][0])
index = 0
for data_set in self.data:
if len(data_set) > 2: # get label from data set
label = data_set[2]
else:
label = self.yaxis_name + str(index)
if index == 0:
print('append line:', data_set[0])
print(data_set[1])
self.chart.add_yaxis(label, data_set[1])
else:
print('append bar:', data_set[0])
print(data_set[1])
bar = Bar()
bar.add_xaxis(data_set[0])
bar.add_yaxis(label, data_set[1])
self.chart.overlap(bar)
index += 1
# set options
self.chart.set_global_opts(
title_opts=opts.TitleOpts(title=self.title),
toolbox_opts=opts.ToolboxOpts(is_show=True),
datazoom_opts=opts.DataZoomOpts(is_show=True,
type_='slider',
range_start=0,
range_end=100),
# xaxis_opts=opts.AxisOpts(name=self.xaxis_name, type_='time', name_location='end', name_gap=15,
# splitline_opts=opts.SplitLineOpts(is_show=True),
# min_=self.min_x, max_=self.max_x),
yaxis_opts=opts.AxisOpts(
name=self.yaxis_name,
name_location='center',
name_gap=25,
splitline_opts=opts.SplitLineOpts(is_show=True)))
self.chart.set_series_opts(
label_opts=opts.LabelOpts(is_show=False, position='inside'))
return self
def plot(self,
area=['V', 'M'],
width=1000,
height=680,
klines=[],
vlines=[]) -> Grid:
'''
@params:
- area : list #显示区域
'V' 交易量
'M' k线+MACD
FieldName: string Dataframe中的字段名
[Field1,Field2,...] Dataframe中的字段名列表，将显示在一个区域
width: int #图表宽度 px
height:int #图表高度 px
klines:str #K线区域显示的数据，Dataframe中的字段名，如MA...
vline: str #Volume区域显示的数据，Dataframe中的字段名，如MA...
- sample:
chart=data.plot(area=[['small_pct','medium_pct','big_pct','super_pct'],'V','cci'],vlines=['vMA5','vMA10'],klines=['MA5','MA10'])
'''
self.klines = klines
self.vlines = vlines
grid = (Grid(init_opts=opts.InitOpts(
width=str(width) + "px",
height=str(height) + "px",
animation_opts=opts.AnimationOpts(animation=False),
)))
c = self.K()
iTop = 10
iButton = 10
iWindows = len(area)
iStep = 0
if iWindows == 0:
grid.add(c,
grid_opts=opts.GridOpts(pos_top="2%", pos_bottom="10%"))
elif iWindows > 1:
grid.add(c,
grid_opts=opts.GridOpts(pos_top="2%", pos_bottom="50%"))
iStep = int(30 / iWindows)
iButton = 50
else:
grid.add(c,
grid_opts=opts.GridOpts(pos_top="1%", pos_bottom="30%"))
iStep = 15
iButton = 70
icount = 0
for w in area:
#print(iStep)
if type(w) == list:
window = Line().add_xaxis(self.dateindex)
for l in w:
window.add_yaxis(
series_name=l,
y_axis=round(self.data[l],
self.precision).values.tolist(),
is_smooth=True,
is_symbol_show=False,
is_hover_animation=False,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(type_='solid',
width=2))
window.axislabel_opts = opts.LabelOpts(is_show=False),
window.set_global_opts(
datazoom_opts=[opts.DataZoomOpts()],
xaxis_opts=opts.AxisOpts(
type_="category",
axislabel_opts=opts.LabelOpts(is_show=False),
),
legend_opts=opts.LegendOpts(orient='vertical',
pos_left="top",
pos_top=str(iButton) + "%"),
)
elif w == 'V':
window = self.V()
#grid.add(v,grid_opts=opts.GridOpts(pos_top= str(iButton)+'%',height=str(iStep)+'%'))
elif w == 'M':
window = self.MACD()
#grid.add(macd,grid_opts=opts.GridOpts(pos_top= str(iButton)+'%',height=str(iStep)+'%'))
else:
window = Line().add_xaxis(self.dateindex)
window.add_yaxis(
series_name=w,
y_axis=round(self.data[w], self.precision).values.tolist(),
is_smooth=True,
is_symbol_show=False,
is_hover_animation=False,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(type_='solid', width=2))
window.axislabel_opts = opts.LabelOpts(is_show=True),
window.set_global_opts(
datazoom_opts=[opts.DataZoomOpts()],
xaxis_opts=opts.AxisOpts(
type_="category",
axislabel_opts=opts.LabelOpts(is_show=False),
),
legend_opts=opts.LegendOpts(orient='horizontal',
pos_left=str(icount + 20) +
"%"),
)
if '_' + w + '_flag' in self.data.columns:
#print("find_flag")
v1 = self.data[self.data['_' + w + '_flag'] ==
True].index.strftime("%Y-%m-%d").tolist()
v2 = self.data[self.data['_' + w + '_flag'] == True][w]
c_flag = (EffectScatter().add_xaxis(v1).add_yaxis("", v2))
window.overlap(c_flag)
#grid.add(vLine,grid_opts=opts.GridOpts(pos_top= str(iButton)+'%',height=str(iStep)+'%'))
icount += 1
#最后一行加上x刻度
if icount == iWindows:
window.options['xAxis'][0]['axisLabel'].opts['show'] = True
grid.add(window,
grid_opts=opts.GridOpts(pos_top=str(iButton) + '%',
height=str(iStep) + '%'))
iButton = iButton + iStep
#grid.grid_opts=opts.GridOpts(pos_left="8%", pos_right="8%", height="50%"),
grid.options['dataZoom'][0].opts['xAxisIndex'] = list(
range(0, iWindows + 1))
return grid
is_symbol_show=False,
is_hover_animation=False,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts= opts.LineStyleOpts(type_='solid',width=2)
)
#print('_'+ str(l)+'_flag')
if '_'+ l+'_flag' in self.data.columns:
print(" find_flag: %s" % '_'+ l+'_flag')
xx = self.data[self.data['_'+ l+'_flag']==True].index.strftime("%Y-%m-%d").tolist()
yy = self.data[self.data['_'+ l+'_flag']==True][l]
c_flag = (
EffectScatter()
.add_xaxis(xx)
.add_yaxis("",round(yy,self.precision))
)
window.overlap(c_flag)
window.axislabel_opts=opts.LabelOpts(is_show=False),
window.set_global_opts(datazoom_opts=[opts.DataZoomOpts()],
xaxis_opts=opts.AxisOpts(
type_="category",
axislabel_opts=opts.LabelOpts(is_show=False),
),
legend_opts=opts.LegendOpts(orient='vertical',pos_left="top",pos_top=str(iButton)+"%"),
)
elif w=='V':
window=self.V()
#grid.add(v,grid_opts=opts.GridOpts(pos_top= str(iButton)+'%',height=str(iStep)+'%'))
elif w=='M':
window=self.MACD()
