Question

我试图像Bokeh中的股票数据一样获得一个情节，如链接http://bokeh.pydata.org/en/latest/docs/gallery/stocks.html

2004-01-05,00:00:00,01:00:00,Mon,20504,792
2004-01-05,01:00:00,02:00:00,Mon,16553,783
2004-01-05,02:00:00,03:00:00,Mon,18944,790
2004-01-05,03:00:00,04:00:00,Mon,17534,750
2004-01-06,00:00:00,01:00:00,Tue,17262,747
2004-01-06,01:00:00,02:00:00,Tue,19072,777
2004-01-06,02:00:00,03:00:00,Tue,18275,785

我想使用第2列：startTime和5：count，我想按列day进行分组，并在相应的小时内对counts求和。

代码：不提供输出

import numpy as np
import pandas as pd
#from bokeh.layouts import gridplot
from bokeh.plotting import figure, show, output_file

data = pd.read_csv('one_hour.csv')
data.column = ['date', 'startTime', 'endTime', 'day', 'count', 'unique']

p1 = figure(x_axis_type='startTime', y_axis_type='count', title="counts per hour")
p1.grid.grid_line_alpha=0.3
p1.xaxis.axis_label = 'startTime'
p1.yaxis.axis_label = 'count'

output_file("count.html", title="time_graph.py")
show(gridplot([[p1]], plot_width=400, plot_height=400))  # open a browser

读取列和绘图没有任何问题，但是对列数据应用group by和sum操作是我无法执行的。

感谢您的帮助，谢谢！

Answer 1

听起来这就是你所需要的：

data.groupby('startTime')['count'].sum()

输出：

00:00:00    37766
01:00:00    35625
02:00:00    37219
03:00:00    17534

按小时分组并在Bokeh中绘图

1 个答案: