首页 \ 问答 \ Gluon Mobile 2.2.0：如何更改ProgressBar / ProgressIndicator颜色？(Gluon Mobile 2.2.0 : How to change ProgressBar/ProgressIndicator color?)

Gluon Mobile 2.2.0：如何更改ProgressBar / ProgressIndicator颜色？(Gluon Mobile 2.2.0 : How to change ProgressBar/ProgressIndicator color?)

 com.gluonhq.charm.glisten.control.ProgressIndicator/ProgressBar默认颜色为材质设计蓝色 。 
 

 如何改变颜色？ 
 

 我尝试了不同的JavaFX CSS属性，但它不起作用。 

Default color of the com.gluonhq.charm.glisten.control.ProgressIndicator/ProgressBar is material design blue.
 

How to change the color? 
 

I tried different JavaFX CSS properties, but it doesn't work.

原文：https://stackoverflow.com/questions/36953858
更新时间：2021-08-08 10:08

最满意答案

 更新： 
 

 假设Date是索引（不是常规列）： 
 

 源词典： 
 

In [70]: d2
Out[70]:
{'CCC':                  Open       High        Low      Close  Volume  Adj Close
 Date
 2015-12-31  17.270000  17.389999  17.120001  17.250000  177200  16.965361
 2016-01-04  17.000000  17.219999  16.600000  17.180000  371600  16.896516
 2016-01-05  17.190001  17.530001  17.059999  17.450001  417500  17.162061,
 'CLSN':             Open  High   Low  Close  Volume  Adj Close
 Date
 2015-12-31  1.92  1.99  1.87   1.92   79600       1.92
 2016-01-04  1.93  1.99  1.87   1.93   39700       1.93
 2016-01-05  1.89  1.94  1.85   1.90   50200       1.90}

 

 解： 
 

In [73]: pd.Panel(d2).swapaxes(0, 2).to_frame().reset_index(level=0).sort_index()
Out[73]:
            Date       Open       High        Low      Close    Volume  Adj Close
minor
CCC   2015-12-31  17.270000  17.389999  17.120001  17.250000  177200.0  16.965361
CCC   2016-01-04  17.000000  17.219999  16.600000  17.180000  371600.0  16.896516
CCC   2016-01-05  17.190001  17.530001  17.059999  17.450001  417500.0  17.162061
CLSN  2015-12-31   1.920000   1.990000   1.870000   1.920000   79600.0   1.920000
CLSN  2016-01-04   1.930000   1.990000   1.870000   1.930000   39700.0   1.930000
CLSN  2016-01-05   1.890000   1.940000   1.850000   1.900000   50200.0   1.900000

 

 或者，您可以将Date作为索引的一部分： 
 

In [74]: pd.Panel(d2).swapaxes(0, 2).to_frame().sort_index()
Out[74]:
                       Open       High        Low      Close    Volume  Adj Close
Date       minor
2015-12-31 CCC    17.270000  17.389999  17.120001  17.250000  177200.0  16.965361
           CLSN    1.920000   1.990000   1.870000   1.920000   79600.0   1.920000
2016-01-04 CCC    17.000000  17.219999  16.600000  17.180000  371600.0  16.896516
           CLSN    1.930000   1.990000   1.870000   1.930000   39700.0   1.930000
2016-01-05 CCC    17.190001  17.530001  17.059999  17.450001  417500.0  17.162061
           CLSN    1.890000   1.940000   1.850000   1.900000   50200.0   1.900000

 

 

 旧答案 - 它假定Date是常规列（不是索引）试试这个： 
 

In [59]: pd.Panel(d).swapaxes(0, 2).to_frame().reset_index('major', drop=True).sort_index()
Out[59]:
            Date   Open   High    Low  Close  Volume Adj Close
minor
CCC   2015-12-31  17.27  17.39  17.12  17.25  177200   16.9654
CCC   2016-01-04     17  17.22   16.6  17.18  371600   16.8965
CCC   2016-01-05  17.19  17.53  17.06  17.45  417500   17.1621
CLSN  2015-12-31   1.92   1.99   1.87   1.92   79600      1.92
CLSN  2016-01-04   1.93   1.99   1.87   1.93   39700      1.93
CLSN  2016-01-05   1.89   1.94   1.85    1.9   50200       1.9

 

 其中d是nested dictionary ： 
 

In [60]: d
Out[60]:
{'CCC':         Date       Open       High        Low      Close  Volume  Adj Close
 0 2015-12-31  17.270000  17.389999  17.120001  17.250000  177200  16.965361
 1 2016-01-04  17.000000  17.219999  16.600000  17.180000  371600  16.896516
 2 2016-01-05  17.190001  17.530001  17.059999  17.450001  417500  17.162061,
 'CLSN':         Date  Open  High   Low  Close  Volume  Adj Close
 0 2015-12-31  1.92  1.99  1.87   1.92   79600       1.92
 1 2016-01-04  1.93  1.99  1.87   1.93   39700       1.93
 2 2016-01-05  1.89  1.94  1.85   1.90   50200       1.90}


UPDATE:
 

assuming that Date is an index (not a regular column):
 

Source dictionary:
 

In [70]: d2
Out[70]:
{'CCC':                  Open       High        Low      Close  Volume  Adj Close
 Date
 2015-12-31  17.270000  17.389999  17.120001  17.250000  177200  16.965361
 2016-01-04  17.000000  17.219999  16.600000  17.180000  371600  16.896516
 2016-01-05  17.190001  17.530001  17.059999  17.450001  417500  17.162061,
 'CLSN':             Open  High   Low  Close  Volume  Adj Close
 Date
 2015-12-31  1.92  1.99  1.87   1.92   79600       1.92
 2016-01-04  1.93  1.99  1.87   1.93   39700       1.93
 2016-01-05  1.89  1.94  1.85   1.90   50200       1.90}

 

Solution:
 

In [73]: pd.Panel(d2).swapaxes(0, 2).to_frame().reset_index(level=0).sort_index()
Out[73]:
            Date       Open       High        Low      Close    Volume  Adj Close
minor
CCC   2015-12-31  17.270000  17.389999  17.120001  17.250000  177200.0  16.965361
CCC   2016-01-04  17.000000  17.219999  16.600000  17.180000  371600.0  16.896516
CCC   2016-01-05  17.190001  17.530001  17.059999  17.450001  417500.0  17.162061
CLSN  2015-12-31   1.920000   1.990000   1.870000   1.920000   79600.0   1.920000
CLSN  2016-01-04   1.930000   1.990000   1.870000   1.930000   39700.0   1.930000
CLSN  2016-01-05   1.890000   1.940000   1.850000   1.900000   50200.0   1.900000

 

alternatively you can leave Date as part of your index:
 

In [74]: pd.Panel(d2).swapaxes(0, 2).to_frame().sort_index()
Out[74]:
                       Open       High        Low      Close    Volume  Adj Close
Date       minor
2015-12-31 CCC    17.270000  17.389999  17.120001  17.250000  177200.0  16.965361
           CLSN    1.920000   1.990000   1.870000   1.920000   79600.0   1.920000
2016-01-04 CCC    17.000000  17.219999  16.600000  17.180000  371600.0  16.896516
           CLSN    1.930000   1.990000   1.870000   1.930000   39700.0   1.930000
2016-01-05 CCC    17.190001  17.530001  17.059999  17.450001  417500.0  17.162061
           CLSN    1.890000   1.940000   1.850000   1.900000   50200.0   1.900000

 

 

OLD answer - it assumes that Date is a regular column (not an index) Try this:
 

In [59]: pd.Panel(d).swapaxes(0, 2).to_frame().reset_index('major', drop=True).sort_index()
Out[59]:
            Date   Open   High    Low  Close  Volume Adj Close
minor
CCC   2015-12-31  17.27  17.39  17.12  17.25  177200   16.9654
CCC   2016-01-04     17  17.22   16.6  17.18  371600   16.8965
CCC   2016-01-05  17.19  17.53  17.06  17.45  417500   17.1621
CLSN  2015-12-31   1.92   1.99   1.87   1.92   79600      1.92
CLSN  2016-01-04   1.93   1.99   1.87   1.93   39700      1.93
CLSN  2016-01-05   1.89   1.94   1.85    1.9   50200       1.9

 

where d is your nested dictionary:
 

In [60]: d
Out[60]:
{'CCC':         Date       Open       High        Low      Close  Volume  Adj Close
 0 2015-12-31  17.270000  17.389999  17.120001  17.250000  177200  16.965361
 1 2016-01-04  17.000000  17.219999  16.600000  17.180000  371600  16.896516
 2 2016-01-05  17.190001  17.530001  17.059999  17.450001  417500  17.162061,
 'CLSN':         Date  Open  High   Low  Close  Volume  Adj Close
 0 2015-12-31  1.92  1.99  1.87   1.92   79600       1.92
 1 2016-01-04  1.93  1.99  1.87   1.93   39700       1.93
 2 2016-01-05  1.89  1.94  1.85   1.90   50200       1.90}

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