Question

我试图在一个图表上绘制RPI，CPI和CPIH，其中HoverTool显示每个平移图表的给定区域时每个值的值。

我最初尝试使用line()分别添加每一行：

但是，HoverTool仅在滚动各行时才能正常工作。

我尝试使用multi_line()，如：

combined_inflation_metrics = 'combined_inflation_metrics.csv'
df_combined_inflation_metrics = pd.read_csv(combined_inflation_metrics)
combined_source = ColumnDataSource(df_combined_inflation_metrics)


l.multi_line(xs=['Date','Date','Date'],ys=['RPI', 'CPI', 'CPIH'], source=combined_source)
#l.multi_line(xs=[['Date'],['Date'],['Date']],ys=[['RPI'], ['CPI'], ['CPIH']], source=combined_source)

show(l)

然而，这是在抛出以下内容：

RuntimeError: 
Supplying a user-defined data source AND iterable values to glyph methods is
not possibe. Either:

Pass all data directly as literals:

    p.circe(x=a_list, y=an_array, ...)

Or, put all data in a ColumnDataSource and pass column names:

    source = ColumnDataSource(data=dict(x=a_list, y=an_array))
    p.circe(x='x', y='y', source=source, ...)

但我不太清楚为什么会这样？

更新：

我通过添加每个数据源中的所有值来找出解决方法。它有效，但感觉不是最有效，并且仍然想知道如何正确地做到这一点。

修改 - 代码请求：

from bokeh.plotting import figure, output_file, show
from bokeh.models import NumeralTickFormatter, DatetimeTickFormatter, ColumnDataSource, HoverTool, CrosshairTool, SaveTool, PanTool
import pandas as pd
import os
os.chdir(r'path')

#output_file('Inflation.html', title='Inflation')

RPI = 'RPI.csv'
CPI = 'CPI.csv'
CPIH = 'CPIH.csv'

df_RPI = pd.read_csv(RPI)
df_CPI = pd.read_csv(CPI)
df_CPIH = pd.read_csv(CPIH)

def to_date_time(data_frame, data_series):
    data_frame[data_series] = data_frame[data_series].astype('datetime64[ns]')

to_date_time(df_RPI, 'Date')
to_date_time(df_CPI, 'Date')
to_date_time(df_CPIH, 'Date')

RPI_source = ColumnDataSource(df_RPI)
CPI_source = ColumnDataSource(df_CPI)
CPIH_source = ColumnDataSource(df_CPIH)

l = figure(title="Historic Inflaiton Metrics", logo=None)
l.plot_width = 1200


l.xaxis[0].formatter=DatetimeTickFormatter(
        days=["%d %B %Y"],
        months=["%d %B %Y"],
        years=["%d %B %Y"],
    )


glyph_1 = l.line('Date','RPI',source=RPI_source, legend='TYPE', color='red')
glyph_2 = l.line('Date','CPI',source=CPI_source, legend='TYPE', color='blue')
glyph_3 = l.line('Date','CPIH',source=CPIH_source, legend='TYPE', color='gold')


hover = HoverTool(renderers=[glyph_1],
                 tooltips=[     ("Date","@Date{%F}"),
                                ("RPI","@RPI"),
                                ("CPI","@CPI"),
                                ("CPIH","@CPIH")],
                          formatters={"Date": "datetime"},
                      mode='vline'
                 )
l.tools = [SaveTool(), PanTool(), hover, CrosshairTool()]

show(l)

Answer 1

悬停工具会查找要在ColumnDataSource中显示的数据。因为您为每一行创建了一个新的ColumnDataSource并将悬停工具限制为line1，所以它只能在那里查找数据源中的数据。

一般的解决方案是只创建一个ColumnDataSource并在每行中重用它：

df_RPI = pd.read_csv(RPI)
df_CPI = pd.read_csv(CPI)
df_CPIH = pd.read_csv(CPIH)

df = df_RPI.merge(dfd_CPI, on="date")
df = df.merge(df_CPIH, on="date")

source = ColumnDataSource(df)

l = figure(title="Historic Inflation Metrics", logo=None)

glyph_1 = l.line('Date','RPI',source=source, legend='RPI', color='red')
l.line('Date','CPI',source=source, legend='CPI', color='blue')
l.line('Date','CPIH',source=source, legend='CPIH', color='gold')

hover = HoverTool(renderers=[glyph_1],
                 tooltips=[     ("Date","@Date{%F}"),
                                ("RPI","@RPI"),
                                ("CPI","@CPI"),
                                ("CPIH","@CPIH")],
                          formatters={"Date": "datetime"},
                      mode='vline'
                 )

show(l)

当然，只有将所有数据帧合并为一个数据帧，即测量时间点相同时，才有可能。如果他们不是重新采样/插值，我不知道一个好的方法来做你想要的。

散景多线图

1 个答案: