Python / Pandas / Bokeh：用数据框中的图例绘制多条线

Question

我在 Pandas dataframe 中有数据，我正试图绘制成时间序列线图。

在绘制一条直线时，我已经能够使用 p.line 函数非常成功地做到这一点，确保我制作了 x_axis_type 'datetime'.

为了绘制多条线，我尝试使用 p.multi_line，效果很好，但我还需要一个图例，根据这个 post，无法向多线添加图例:

Leo 对上面 link 中问题的回答看起来很有希望，但我似乎无法弄清楚当数据来自数据框时如何应用它。

有人有什么建议吗？

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：用数据框中的图例绘制多条线

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