Question

我打算使用散列图针对 Dvicetimestamp 对另一列 ID 绘制数据帧df。数据框df看起来像这样：

Index    Dvicetimestamp      eventName     ID
0       01:11:24.210000        ABC         4  
1       01:11:30.224000        CDE         6
2       02:16:30.210000        CDE         6
3       02:27:30.211000        CDE         6
2       01:30:40.212000        DEF         8    
3       01:35:23.122000        CDE         6   
4       02:22:22.145000        CDE         6   
5       02:26:11.222000        DEF         8
        ...                    ...         ...

但是，我打算创建一个图例，以使每种唯一颜色在图形上显示其 ID 和相应的 eventName 。在显示图表时，我如何使x轴刻度线间隔为1小时。但是，我得到了错误：KeyError：0

这是我尝试过的代码：

nums = np.array([time2num(di) for di in df['Dvicetimestamp']])
def my_formatter(x, pos=None):
    d = matplotlib.dates.num2date(x)
    if len(str(d.minute)) == 1:
       mn = '0{}'.format(d.minute)
    else:
       mn = str(d.minute)
    if len(str(d.hour)) == 1:
       hr = '0{}'.format(d.hour)
    else:
       hr = str(d.hour)
    return hr+':'+mn

major_formatter=FuncFormatter(my_formatter)


fig, ax = plt.subplots()
ax.xaxis.set_major_formatter(major_formatter)
labels = set(df['ID']);
ax.scatter(nums,df['ID'],s=20,c=df['ID'], marker = 'o', cmap = cm.tab20 )
xmin = df['Dvicetimestamp'][0]-datetime.timedelta(hours=1)
xmax = df['Dvicetimestamp'] 
[len(df['DviceTimeStamp'])-1]+datetime.timedelta(hours=1)
ax.set_xlim((xmin,xmax))

使用多列绘制图例

0 个答案: