在散景中，奇怪的日期轴问题

Question

我试图通过大熊猫与Bokeh绘制一些数据。 x轴是日期，我可以让Bokeh绘制轴＆＃34;主要是＆＃34;正确（范围可能已关闭）。但是，它输出的线路到处都是。

例如：

看起来它可能是一条很大的连续线？

这是我的代码：

# library imports

import pandas as pd
from bokeh.io import output_file, show, vform
from bokeh.plotting import figure, output_file, ColumnDataSource, show
from bokeh.models import HoverTool, BoxAnnotation, BoxSelectTool, BoxZoomTool, WheelZoomTool, ResetTool

# Import csv into pandas dataframe

df = pd.read_csv(r"C:\Users\paul.shapiro\Documents\kwdata.csv", parse_dates=['Interest over time_time'])
df.rename(columns={'Search Term': 'keyword', 'Interest over time_time': 'date', 'Weekly Volume': 'volume'}, inplace=True)

source = ColumnDataSource(data=dict(x=df['date'], y=df['volume'], desc=df['keyword']))
TOOLS = [HoverTool(tooltips=[("Keyword", "@desc"),("Date", "@x"),("Search Volume", "@y")]), BoxZoomTool(), WheelZoomTool(), ResetTool()]

# Output html for embedding
output_file("line.html")

p = figure(plot_width=800, plot_height=800, tools=TOOLS, x_axis_type="datetime")

# add both a line and circles on the same plot
p.line(df['date'], df['volume'], line_width=2, color=df['keyword'], source=source)
p.circle(df['date'], df['volume'], fill_color="white", size=8, source=source)

show(p)

还有一点值得注意的是，如果你使用bokeh.charts绘制它（如果我这样做，工具提示不起作用，所以它不是一个选项），它绘得很好：

defaults.width = 800
defaults.height = 800

TOOLS = [BoxZoomTool(), WheelZoomTool(), ResetTool()]

line = Line(df, x='date', y='volume', color='keyword', source=source, tools=TOOLS)
show(line)
output_file("line.html", title="Search Volume")

非常感谢任何帮助。这让我疯狂！

使用multi_line（）和for循环

已解决：

import pandas as pd
from bokeh.io import output_file, show, vform
from bokeh.plotting import figure, output_file, ColumnDataSource, show
from bokeh.models import HoverTool, BoxAnnotation, BoxSelectTool, BoxZoomTool, WheelZoomTool, ResetTool

df = pd.read_csv(r"C:\Users\paul.shapiro\Documents\kwdata.csv", parse_dates=['Interest over time_time'])
df.rename(columns={'Search Term': 'keyword', 'Interest over time_time': 'date', 'Weekly Volume': 'volume'}, inplace=True)

gp = df.groupby('volume')

source = ColumnDataSource(data=dict(x=df['date'], y=df['volume'], desc=df['keyword']))
TOOLS = [HoverTool(tooltips=[("Keyword", "@desc"),("Date", "@x"),("Search Volume", "@y")]), BoxZoomTool(), WheelZoomTool(), ResetTool()]

p = figure(plot_width=800, plot_height=800, tools=TOOLS, x_axis_type="datetime")

gp = df.groupby('keyword')
# groups() returns a dict with 'Gene':indices as k:v pair
for g in gp.groups.items():
    p.multi_line(xs=[df.loc[g[1], 'date']], ys=[df.loc[g[1], 'volume']])

p.circle(df['date'], df['volume'], fill_color="white", size=8, source=source)

output_file("newline.html")
show(p)

Answer 1

我看不出你的代码有什么问题。根据散景示例，尝试查看数据帧df与简单嵌套值列表的不同之处。也许通过对数据帧进行一些操作，您可以使其正常工作。

http://bokeh.pydata.org/en/0.10.0/docs/reference/plotting.html

from bokeh.plotting import figure, output_file, show

p = figure(plot_width=300, plot_height=300)
p.multi_line(xs=[[1, 2, 3], [2, 3, 4]], ys=[[6, 7, 2], [4, 5, 7]],
         color=['red','green'])

show(p)