在Pandas中使用Bokeh datetime

Question

是否可以在不使用熊猫的情况下在散景图中创建xaxis？我可以导入Python datetime模块来创建xaxis吗？

在Bokeh文档中，他们显示了这一点：

import pandas as pd
from bokeh.plotting import figure, output_file, show
from bokeh.sampledata.stocks import AAPL

df = pd.DataFrame(AAPL)
df['date'] = pd.to_datetime(df['date'])

output_file("datetime.html")

# create a new plot with a datetime axis type
p = figure(plot_width=800, plot_height=250, x_axis_type="datetime")

p.line(df['date'], df['close'], color='navy', alpha=0.5)

show(p)

我正在尝试这样的事情：

from bokeh.io import curdoc
from bokeh.models import ColumnDataSource, DatetimeTickFormatter
from bokeh.plotting import figure
from datetime import datetime

p = figure(plot_height=400, plot_width=1200, x_axis_type="datetime")

p.xaxis.formatter = DatetimeTickFormatter(hours=["%H:%M:%S"],days=["%H:%M:%S"],months=["%H:%M:%S"],years=["%H:%M:%S"])

代码运行但我没有看到任何x或y轴。

Answer 1

不使用熊猫：

from bokeh.plotting import figure, output_file, show
from bokeh.models import DatetimeTickFormatter
from bokeh.sampledata.stocks import AAPL
import datetime

output_file("datetime.html")

AAPL['date'] = [datetime.datetime.strptime(x, "%Y-%m-%d").date() for x in AAPL['date']]

p = figure(plot_width=800, plot_height=250)
p.xaxis[0].formatter = DatetimeTickFormatter()

p.line(AAPL['date'], AAPL['close'], color='navy', alpha=0.5)

show(p)