Question

我在Pandas dataframe中有数据，我试图将其绘制到时间序列折线图中。

当绘制一行时，我已经能够使用p.line函数非常成功地完成此操作，确保我创建x_axis_type 'datetime'。

为了绘制多行，我尝试使用p.multi_line，效果很好，但我也需要一个图例，根据这篇文章，不可能在多行中添加图例：Bokeh how to add legend to figure created by multi_line method?

Leo对上述链接中的问题的回答看起来很有希望，但是当数据来自数据框时，我似乎无法解决如何应用此问题。

有没有人有任何提示？

Answer 1

好的，这似乎有效：

from bokeh.plotting import figure, output_file, save
from bokeh.models import ColumnDataSource
import pandas as pd
from pandas import HDFStore
from bokeh.palettes import Spectral11

# imports data to dataframe from our storage hdf5 file
# our index column has no name, so this is assigned a name so it can be
# referenced to for plotting
store = pd.HDFStore('<file location>')
df = pd.DataFrame(store['d1'])
df = df.rename_axis('Time')

#the number of columns is the number of lines that we will make
numlines = len(df.columns)

#import color pallet
mypalette = Spectral11[0:numlines]

# remove unwanted columns
col_list = ['Column A', 'Column B']
df = df[col_list]

# make a list of our columns
col = []
[col.append(i) for i in df.columns]

# make the figure, 
p = figure(x_axis_type="datetime", title="<title>", width = 800, height = 450)
p.xaxis.axis_label = 'Date'
p.yaxis.axis_label = '<units>'

# loop through our columns and colours
for (columnnames, colore) in zip(col, mypalette):
    p.line(df.index, df[columnnames], legend = columnnames, color = colore )

# creates an output file 
output_file('<output location>')

#save the plot
save(p)

Python / Pandas / Bokeh：使用数据框架中的图例绘制多行

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