我使用bokeh补丁图来获取我的能量数据。它成功工作了默认时间序列。但是，如果我选择了不同的两个日期，那么它将合并两个日期范围块
示例：
日期范围：29/07/2018 - 31/07/2018 with hours
Successfull working example of result is here
日期：30/07/2018 and 06/08/2018 with hours
Wrongly working example of result is here
所以我尝试了this帖子，但它没有任何改变。
和代码块：
df = generateRtpDataFrame(data_list,frekans)
df=df.round(2)
def stacked(df):
df=df[df.columns[::-1]]
df_top = df.cumsum(axis=1)
df_bottom = df_top.shift(axis=1).fillna({'total': 0})[::-1]
df_stack = pd.concat([df_bottom, df_top], ignore_index=False)
df_stack=df_stack.drop("total", axis=1)
return df_stack
areas = stacked(df)
colors = d3['Category20b'][areas.shape[1]]
x2 = np.hstack((df.index[::-1], df.index))
msg = "Example Plot"
caption = Title(text=msg, align='left', text_font_size='10pt')
tooltips=[
("index", "$index"),
]
p = figure(sizing_mode = 'scale_width',tooltips=tooltips,x_axis_type='datetime')
p.add_layout(caption, 'above')
p.grid.minor_grid_line_color = '#eeeeee'
p.xaxis.formatter=DatetimeTickFormatter(
minutes=["%M"],
hours=["%H:%M"],
days=["%d/%m/%Y"],
months=["%m/%Y"],
years=["%Y"],
)
p.xaxis.major_label_overrides = {
i: date.strftime('%Y-%m-%d %H:%M') for i, date in enumerate(pd.to_datetime(df.index))
}
p.patches(xs=[x2]*areas.shape[1],ys= [areas[c].values for c in areas], color=colors, alpha=0.8,line_color=None)