Question

我有一个pandas DataFrame ten_day，如下所示：

XLF US Equity           NaN
PEO PW Equity     -2.797857
GLE FP Equity      4.497489
CBK GY Equity      6.162684
BAC US Equity           NaN
UCG IM Equity      4.250801
ITRXESE Index     -0.996103
HSBC US Equity          NaN
RBS LN Equity     -1.347926
CABK SM Equity     8.127579
SAN SM Equity      4.521443
ISP IM Equity      5.023080
SX7E Index         4.900426
ANZ AU Equity      0.723205
CSGN VX Equity    -0.800900
SWEDA SS Equity   -0.973182
POP SM Equity      4.434381
BNP FP Equity      3.378214
BARC LN Equity    -0.066818
Name: Vol_Adj_10, dtype: float64

我使用以下代码在Plotly（https://plot.ly/~dpsugasa/289/_10-day-volatility-adjusted-returns/）中创建了一个图：

ten_day.iplot(kind='barh', bargap=.2, filename = 'Vol_Adjusted/Bank Returns/10Day_Vol_Adjusted',\
          title='10 Day Volatility Adjusted Returns', legend = True,
          xTitle = '10D Vol Adjusted Return (30D)', vline ={'x':'0','color':'black','width':'2'}, sortbars=True,
          margin = (200,5))

我希望负条与正条的颜色不同。有没有办法只使用袖扣来做到这一点？

我考虑使用ten_day.loc[lambda df: df>0]过滤正值和负值，然后尝试绘制两条不同的曲线，但我正在努力使语法正确。任何帮助将不胜感激。

Answer 1

如果没有@echo off color 0E pushd %~dp0 setlocal EnableDelayedExpansion for /f "usebackq tokens=*" %%i in ("%~dp0hostnames.txt") do ( rem Test Access Admin Shares C$ if exist "\\%%i\C$\Windows\System32" set dollar=yes rem Test Installation Integrity if exist "\\%%i\C$\ProgramData\config.cfg" set install=ok echo %%i echo !dollar! echo !install! pause IF !dollar!==yes IF !install!==ok (call :updatecfg %%i) IF !dollar!==yes IF [!install!]==[] (call :installerror %%i) IF [!dollar!]==[] (call :errorshare %%i) ) echo THE END pause exit :updatecfg CLS XCOPY "%~dp0config.cfg" /Y "\\%1\C$\ProgramData" & echo %1 Update Config.cfg Succeeded! & echo %1 Update Succeeded! >>"%~dp0logpass.txt" ping 127.0.0.1 -n 3 >nul goto :eof :errorshare CLS echo. echo %1 Has C$ Access Issues [Logging] & echo %1 Has C$ Access Issues >>"%~dp0logfail.txt" ping 127.0.0.1 -n 3 >nul goto :eof :installerror CLS echo. echo %1 Cannot Find Config.cfg^!^! [Logging] & echo %1 Cannot Find Config.cfg^!^! Not Installed or Configured^? >>"%~dp0logfail.txt" ping 127.0.0.1 -n 4 >nul goto :eof，我们可以将一系列颜色传递给条形图

cufflinks

但是bar = plotly.graph_objs.Bar(y=df[3], marker=dict(color=np.where(df[3] > 0, 'green', 'red').tolist())) fig = plotly.graph_objs.Figure(data=[bar]) plotly.offline.plot(fig)似乎忽略了这样一个列表。所以我们需要传递两种不同颜色的不同列。

cufflinks

完整代码

pd.DataFrame(dict(pos=df[df[3] > 0][3], 
                  neg=df[df[3] <= 0][3])).iplot(kind='barh',  
                                                colors=dict(pos='green', 
                                                            neg='red')
                                               )

Plotly中的水平条形图使用带有2条迹线的袖扣

1 个答案: