问题描述
我正在尝试通过不太详细的库。
以下是应该生成图的代码的一部分:
data = []
traffic_max = 0
date_minmax = []
#我有两个系列的时间戳读数
用于网站站点:$ b $ b site_data = get_datapoints_for(网站)
date_values = [date_to_unix(item.timestamp)for site in site_data]
date_minmax = minmax(date_minmax + date_values)#get
的最小值和最大值#scaling
traffic_values = [item.traffic for site in site_data]
traffic_max = max(traffic_max,* traffic_values)#just获得读数的最大值
#build图
data.append(date_values)
data.append(traffic_values)
#添加到轴的余地
date_minmax [0] - = 500
date_minmax [1] + = 500
traffic_max / = 0.9
#build graph
chart = LineXY(data)
chart.legend(* sites)
chart.color(green,red)
chart.size(600,400 )
chart.scale(date_minmax [0],date_minmax [1],0,traffic_max)
chart.axes.type(xy)
chart.axes.range(0,* date_minmax)
chart.axes.range(1,0,traffic_max)
chart_url = chart.url
不过,这是我得到的:
问题:红色系列发生了什么变化?
$ p
$ b $ [[1286116241.448437,1286118544.4077079,1286119431.18503,1286121011.5838161],
[6710.9899999999998,
6716.2799999999997,
6641.8900000000003,
6644.9499999999998],
[1286116241.979831,
1286118545.0123601,
1286119431.9650409,
1286121012.1839011],
[38323.860000000001,
38326.620000000003,
38327.660000000003,
38329.610000000001]]
下面是包装器生成的参数列表,也是一些漂亮的爱之后:
chco = 008000,FF0000
chd = t:1286116241.0,1286118544.0,12861 19431.0,1286121011.0
6711.0,6716.3,6641.9,6644.9
1286116241.0,1286118545.0,1286119431.0,1286121012.0
38323.9,38326.6,38327.7,38329.6
chdl = gaming.stackexchange.com
serverfault.com
chds = 1286115741.0,1286121512.0,0,42588.4555556
chs = 600x400
cht = lxy
chxr = 0,1286115741.0,1286121512.0
1,0, 42588.4555556
chxt = x,y
cht = lxy
chxr = 0,1286116241.45,1286121012.18
1,0,42588.4555556
chxt = x,y
问题出在这里:
chart.scale(date_minmax [0],date_minmax [1],0,traffic_max)
Google API允许您为每个系列定义一个不同的比例。因此,您需要为每个系列指定缩放比例,而上述仅影响第一个系列。
将该行更改为: p>
chart.scale(* [date_minmax [0],date_minmax [1],0,traffic_max] * len(sites))
...强制所有系列的缩放比例相同。
I'm trying to make an XYLine with the Google Chart API via the not-so-well-documented GChartWrapper libraries.
Here's a portion of the code that is supposed to generate the graph:
data = [] traffic_max = 0 date_minmax = [] #I have a number of timestamped readings in two series for site in sites: site_data = get_datapoints_for(site) date_values = [datetime_to_unix(item.timestamp) for item in site_data] date_minmax = minmax(date_minmax + date_values) #get min and max values for #scaling traffic_values = [item.traffic for item in site_data] traffic_max = max(traffic_max, *traffic_values) #just get maximum for readings #build graph data.append(date_values) data.append(traffic_values) #add leeway to axes date_minmax[0] -= 500 date_minmax[1] += 500 traffic_max /= 0.9 #build graph chart = LineXY(data) chart.legend(*sites) chart.color("green", "red") chart.size(600,400) chart.scale(date_minmax[0], date_minmax[1], 0, traffic_max) chart.axes.type("xy") chart.axes.range(0, *date_minmax) chart.axes.range(1, 0, traffic_max) chart_url = chart.url
However, this is what I get:
Question: What happened to the red series?
For your convenience, here is data after some pretty print love:
[[1286116241.448437, 1286118544.4077079, 1286119431.18503, 1286121011.5838161], [6710.9899999999998, 6716.2799999999997, 6641.8900000000003, 6644.9499999999998], [1286116241.979831, 1286118545.0123601, 1286119431.9650409, 1286121012.1839011], [38323.860000000001, 38326.620000000003, 38327.660000000003, 38329.610000000001]]
Here is the list of parameters generated by the wrapper, also after some pretty print love:
chco=008000,FF0000 chd=t:1286116241.0,1286118544.0,1286119431.0,1286121011.0 6711.0,6716.3,6641.9,6644.9 1286116241.0,1286118545.0,1286119431.0,1286121012.0 38323.9,38326.6,38327.7,38329.6 chdl=gaming.stackexchange.com serverfault.com chds=1286115741.0,1286121512.0,0,42588.4555556 chs=600x400 cht=lxy chxr=0,1286115741.0,1286121512.0 1,0,42588.4555556 chxt=x,y cht=lxy chxr=0,1286116241.45,1286121012.18 1,0,42588.4555556 chxt=x,y
The problem was here:
chart.scale(date_minmax[0], date_minmax[1], 0, traffic_max)
The Google API allows you to define a different scale per each series. Thus, you need to specify the scaling for each series, whereas the above only affected the first series.
Changing that line to:
chart.scale(*[date_minmax[0], date_minmax[1], 0, traffic_max]*len(sites))
...forces all series to the same scaling.
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