Question

我在这个代码块的循环中绘图：

fig=plt.figure(figsize=(15,10))   
ax1=fig.add_subplot(111)   
ax1.plot(item['time'][:-1],item[headerss].iloc[:-1],marker='o')   
ax1.legend(headerss,loc='center left', bbox_to_anchor=(1.0, 0.5))   
ax1.set_xlabel('time')   
ax1.set_ylabel('concentration (ppb)')   
title=item['date'][0]+'    '+item['list'][0]    
ax1.set_title(title)   
fig.savefig(title,bbox_inches='tight')

项目是数据框架。我有超过20 item['concentrations']，我想拥有尽可能多的不同颜色而不在ax1.plot行创建循环。

我可以使用现有的一组颜色，例如Python色彩图吗？

干杯

Answer 1

根据定义，matplotlib图具有单一颜色。如果您不想循环遍历点并逐个绘制它们，则可以使用scatter plot。

ax1.scatter(item['time'][:-1],item[headerss].iloc[:-1],c=range(len(item[headerss].iloc[:-1])),marker='o', cmap="jet")

Answer 2

您可以获得色彩映射，例如imshow，并在fig=plt.figure(figsize=(15,10)) ax1=fig.add_subplot(111) ax1.imshow(item['time'][:-1],item[headerss].iloc[:-1], interpolation='nearest', cmap=plt.afmhot) ax1.legend(headerss,loc='center left', bbox_to_anchor=(1.0, 0.5)) ax1.set_xlabel('time') ax1.set_ylabel('concentration (ppb)') title=item['date'][0]+' '+item['list'][0] ax1.set_title(title) fig.savefig(title,bbox_inches='tight')中使用它。您可以看到different colormaps here。

Environment.getExternalStoragePublicDirectory(Environment.MEDIA_MOUNTED) 
returns:-------> /storage/sdcard0/mounted

Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_DCIM)
returns:-------> /storage/sdcard0/DCIM

Environment.getExternalStoragePublicDirectory(Environment.MEDIA_SHARED) 
returns:-------> /storage/sdcard0/shared

Environment.MEDIA_MOUNTED 
returns:-------> mounted

Environment.getExternalStorageDirectory()
returned:-------> /storage/sdcard0

使用colormap范围进行单线图

2 个答案: