在bokeh中的x轴上使用月份 [英] Using months in x axis in bokeh
问题描述
可以说我有以下数据:
import random
import pandas as pd
numbers = random.sample(range(1,50), 12)
d = {'month': range(1,13),'values':numbers}
df = pd.DataFrame(d)
我正在使用bokeh可视化结果:
I am using bokeh to visualize the results:
p = figure(plot_width=400, plot_height=400)
p.line(df['month'], df['values'], line_width=2)
output_file('test.html')
show(p)
结果还可以.我想要的是x轴来表示一个月(1:January，2:February ..).我正在执行以下操作以将数字转换为月数:
The results are ok. What I want is the x axis to represent a month(1:January,2:February..). I am doing the following to convert the numbers to months:
import datetime
df['month'] = [datetime.date(1900, x, 1).strftime('%B') for x in df['month']]
p = figure(plot_width=400, plot_height=400)
p.line(df['month'], df['values'], line_width=2)
show(p)
结果为空.以下内容也不起作用:
The results is an empty figure. The following is also not working:
p.xaxis.formatter = DatetimeTickFormatter(format="%B")
有什么想法可以超越它吗?</p>
Any idea how to overpass it?
推荐答案
您有两个选择:
您可以使用日期时间轴:
You can use a datetime axis:
p = figure(plot_width=400, plot_height=400, x_axis_type='datetime')
并传递datetime对象或unix(秒后)的时间戳值作为x值.
And pass either datetime objects or unix (seconds-since-epoch) timestamps values as x-values.
例如df['month'] = [datetime.date(1900, x, 1) for x in df['month']]
然后，DatetimeTickFormatter东西将修改标签的格式(完整的月份名称，数字月份等).这些文档在这里:
The DatetimeTickFormatter stuff will then modify the formatting of labels (full month name, numeric month, etc). Those docs are here:
第二:
您可以使用
p = figure(x_range=['Jan', 'Feb', 'Mar', ...)
与您的x_range相对应的绘图x值，例如:
The plot x-values that correspond to your x_range, like:
x = ['Jan', 'Feb', 'Mar', ...]
y = [100, 200, 150, ...]
p.line(x, y)
用户指南在此处介绍了分类轴:
The user guide covers categorical axes here:
http://docs.bokeh.org/en/latest/docs/user_guide/plotting.html#categorical-axes
这是一个例子:
这篇关于在bokeh中的x轴上使用月份的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
