Python 使用 Bokeh 和 pandas 绘制多条线
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/31520951/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
Plotting multiple lines with Bokeh and pandas
提问by bs123
I would like to give a pandas dataframe to Bokeh to plot a line chart with multiple lines.
我想给 Bokeh 提供一个 Pandas 数据框来绘制多条线的折线图。
The x-axis should be the df.index and each df.columns should be a separate line.
x 轴应该是 df.index 并且每个 df.columns 应该是单独的一行。
This is what I would like to do:
这就是我想做的：
import pandas as pd
import numpy as np
from bokeh.plotting import figure, show
toy_df = pd.DataFrame(data=np.random.rand(5,3), columns = ('a', 'b' ,'c'), index = pd.DatetimeIndex(start='01-01-2015',periods=5, freq='d'))
p = figure(width=1200, height=900, x_axis_type="datetime")
p.multi_line(df)
show(p)
However, I get the error:
但是，我收到错误：
RuntimeError: Missing required glyph parameters: ys
Instead, I've managed to do this:
相反，我设法做到了这一点：
import pandas as pd
import numpy as np
from bokeh.plotting import figure, show
toy_df = pd.DataFrame(data=np.random.rand(5,3), columns = ('a', 'b' ,'c'), index = pd.DatetimeIndex(start='01-01-2015',periods=5, freq='d'))
ts_list_of_list = []
for i in range(0,len(toy_df.columns)):
ts_list_of_list.append(toy_df.index)
vals_list_of_list = toy_df.values.T.tolist()
p = figure(width=1200, height=900, x_axis_type="datetime")
p.multi_line(ts_list_of_list, vals_list_of_list)
show(p)
That (ineligantly) does the job but it uses the same color for all 3 lines, see below:
这（不恰当地）完成了这项工作，但它对所有 3 行使用相同的颜色，见下文：
Questions:
问题：
1) How can I pass a pandas dataframe to bokeh's multi_line?
1) 如何将 Pandas 数据帧传递给散景的 multi_line？
2) If not possible directly, how can I manipulate the dataframe data so that multi_line will create each line with a different color?
2）如果不能直接使用，如何操作数据帧数据，以便 multi_line 将创建具有不同颜色的每条线？
Thanks in advance.
提前致谢。
采纳答案by zpbruno
You need to provide a list of colors to multi_line. In your example, you would do, something like this:
您需要向 multi_line 提供颜色列表。在您的示例中，您会执行以下操作：
p.multi_line(ts_list_of_list, vals_list_of_list, line_color=['red', 'green', 'blue'])
Here's a more general purpose modification of your second example that does more or less what you ended up with, but is a little more concise and perhaps more Pythonic:
这是对您的第二个示例的更通用的修改，它或多或少地完成了您最终得到的内容，但更简洁一些，也许更像 Pythonic：
import pandas as pd
import numpy as np
from bokeh.palettes import Spectral11
from bokeh.plotting import figure, show, output_file
output_file('temp.html')
toy_df = pd.DataFrame(data=np.random.rand(5,3), columns = ('a', 'b' ,'c'), index = pd.DatetimeIndex(start='01-01-2015',periods=5, freq='d'))
numlines=len(toy_df.columns)
mypalette=Spectral11[0:numlines]
p = figure(width=500, height=300, x_axis_type="datetime")
p.multi_line(xs=[toy_df.index.values]*numlines,
ys=[toy_df[name].values for name in toy_df],
line_color=mypalette,
line_width=5)
show(p)
which yields:
产生：
回答by Hugo Alain Oliva
Maintainers note: The bokeh.chartsAPI was deprecated and removed years ago
维护者注意：该bokeh.chartsAPI 多年前已被弃用和删除
OBSOLETE:
过时的：
You need to plot a Time Series chart. This will allow you to easily insert a legend. The TimeSeries attribute is could be located under bokeh._legacy_charts. Please see the following example located here:
您需要绘制时间序列图表。这将允许您轻松插入图例。TimeSeries 属性可以位于 bokeh._legacy_charts 下。请参阅位于此处的以下示例：
