MODIFICATION

Question

我从Sqlite的Plotting系列中得到了一个问题（我尝试了2小时没有成功的不同解决方案）。

我的SQL声明：

p2 = sql.read_sql('select PCE,DT, VALUE_DEMANDE - VALUE_FORCAST as FC_ERROR FROM PCE GROUP BY PCE,DT_COMPUTE_FORCAST', cnx)

结果确定：

       PCE    DT                   FC_ERROR
0      TAG1   01/01/2015 00:00      3.573
1      TAG1   01/01/2015 01:00      3.514
..............................................
2      TAG2   01/01/2015 00:00      2.573
3      TAG2   01/01/2015 01:00      1.514
..............................................
2      TAG3   01/01/2015 00:00      6.573
3      TAG3   01/01/2015 01:00      4.514

我想将线条图（x轴：DT）作为http://pandas.pydata.org/pandas-docs/stable/visualization.html中的第二个图表我试着用：

df = pd.DataFrame({'Error' :p2['FC_ERROR']},columns=list({'TAG1','TAG2','TAG3'}))
df.index = p2['DT']
ax=df.plot(lw=0.5,colormap='jet',marker='+',markersize=2,title='Time series Previsions / Reel')
ax=set_xlabel("Periode")
ax=set_ylabel("Value en Gwh")

如何从同一列中的数据生成columns = list？我应该制作pd.series（...

谢谢

MODIFICATION

好的家伙我试试

  p2 = sql.read_sql('select PCE,DT_COMPUTE_FORCAST, VALUE_DEMANDE,VALUE_FORCAST ,VALUE_DEMANDE - VALUE_FORCAST as FC_ERROR FROM PCE', cnx)  

 for name, groupe in p2.groupby('PCE'):
        print name 

 df = pd.DataFrame({'Pce' : groupe['PCE'].values,'FE' :groupe['FC_ERROR'].values})
    df.index = groupe['DT_COMPUTE_FORCAST']

    df = pd.DataFrame(groupe['FC_ERROR'].values, index=groupe['DT_COMPUTE_FORCAST'], columns=set(name))
    plt.figure()
    df.plot()

'for name'循环工作（并且比我认为的更快）我得到（demo）2个字符串元素。当我启动脚本时，python告诉我：

for name, groupe in p2.groupby('PCE'):
    print name 



df = pd.DataFrame({'Pce' : groupe['PCE'].values,'FE' :groupe['FC_ERROR'].values})
df.index = groupe['DT_COMPUTE_FORCAST']

df = pd.DataFrame(groupe['FC_ERROR'].values, index=groupe['DT_COMPUTE_FORCAST'], columns=set(name))
plt.figure()
df.plot()
A12250I2
A12250T2
Traceback (most recent call last):

  File "<ipython-input-138-73fb44bbbf67>", line 9, in <module>
    df = pd.DataFrame(groupe['FC_ERROR'].values, index=groupe['DT_COMPUTE_FORCAST'], columns=set(name))

  File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 239, in __init__
    copy=copy)

  File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 399, in _init_ndarray
    return create_block_manager_from_blocks([values.T], [columns, index])

  File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 3534, in create_block_manager_from_blocks
    construction_error(tot_items, blocks[0].shape[1:], axes, e)

  File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 3515, in construction_error
    passed,implied))

ValueError: Shape of passed values is (1, 22509), indices imply (6, 22509)

如果有人可以给我一个提示，我会被困住？

以下脚本在绘图上绘制每个数据框（来自循环）。

for name, groupe in p2.groupby('PCE'):
    df = pd.DataFrame({str(name) : groupe['FC_ERROR'].values}) 
    df.index=groupe['DT_COMPUTE_FORCAST']
    df.plot()

我想在1张图表上绘制所有数据框！你有提示吗？

PANDA SQLITE时代系列绘图

MODIFICATION

0 个答案: