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图标绘区图例重叠
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Stack Overflow用户
提问于 2018-08-24 15:29:07
回答 1查看 115关注 0票数 0

我有如下所示的数据(经过大量预处理后获得)

请找数据

代码语言:javascript
复制
d = {'token': {361: '180816_031', 119: '180816_031', 101: '180816_031', 135: '180816_031', 292: '180816_031',
           133: '180816_031', 99: '180816_031', 270: '180816_031', 19: '180816_031', 382: '180816_031',
           414: '180816_031', 267: '180816_031', 218: '180816_031', 398: '180816_031', 287: '180816_031',
           155: '180816_031', 392: '180816_031', 265: '180816_031', 239: '180816_031', 237: '180816_031'},
 'station': {361: 'deneb', 119: 'callisto', 101: 'callisto', 135: 'callisto', 292: 'callisto', 133: 'deneb',
             99: 'callisto', 270: 'callisto', 19: 'deneb', 382: 'callisto', 414: 'deneb', 267: 'callisto',
             218: 'deneb', 398: 'callisto', 287: 'deneb', 155: 'deneb', 392: 'deneb', 265: 'callisto',
             239: 'callisto', 237: 'callisto'},
 'cycle_number': {361: 'cycle09', 119: 'cycle06', 101: 'cycle04', 135: 'cycle01', 292: 'cycle04', 133: 'cycle05',
                  99: 'cycle06', 270: 'cycle07', 19: 'cycle04', 382: 'cycle08', 414: 'cycle04', 267: 'cycle10',
                  218: 'cycle07', 398: 'cycle08', 287: 'cycle09', 155: 'cycle08', 392: 'cycle06', 265: 'cycle02',
                  239: 'cycle09', 237: 'cycle07'},
 'variable': {361: 'adj_high_quality_reads', 119: 'short_pass', 101: 'short_pass', 135: 'cell_mask_bilayers_sum',
              292: 'adj_active_polymerase', 133: 'cell_mask_bilayers_sum', 99: 'short_pass',
              270: 'adj_active_polymerase', 19: 'Unnamed: 0', 382: 'adj_high_quality_reads',
              414: 'num_align_high_quality_reads', 267: 'adj_active_polymerase', 218: 'adj_single_pores',
              398: 'num_align_high_quality_reads', 287: 'adj_active_polymerase', 155: 'cell_mask_bilayers_sum',
              392: 'num_align_high_quality_reads', 265: 'adj_active_polymerase', 239: 'adj_single_pores',
              237: 'adj_single_pores'},
 'value': {361: 99704.0, 119: 2072785.0, 101: 2061059.0, 135: 1682208.0, 292: 675306.0, 133: 1714292.0,
           99: 2072785.0, 270: 687988.0, 19: 19.0, 382: np.nan, 414: 285176.0, 267: 86914.0, 218: 948971.0,
           398: 405196.0, 287: 137926.0, 155: 1830032.0, 392: 480081.0, 265: 951689.0, 239: 681452.0,
           237: 882671.0}}

数据:

代码语言:javascript
复制
          token   station cycle_number                      variable  \
19   180816_031     deneb      cycle04                    Unnamed: 0   
99   180816_031  callisto      cycle06                    short_pass   
101  180816_031  callisto      cycle04                    short_pass   
119  180816_031  callisto      cycle06                    short_pass   
133  180816_031     deneb      cycle05        cell_mask_bilayers_sum   
135  180816_031  callisto      cycle01        cell_mask_bilayers_sum   
155  180816_031     deneb      cycle08        cell_mask_bilayers_sum   
218  180816_031     deneb      cycle07              adj_single_pores   
237  180816_031  callisto      cycle07              adj_single_pores   
239  180816_031  callisto      cycle09              adj_single_pores   
265  180816_031  callisto      cycle02         adj_active_polymerase   
267  180816_031  callisto      cycle10         adj_active_polymerase   
270  180816_031  callisto      cycle07         adj_active_polymerase   
287  180816_031     deneb      cycle09         adj_active_polymerase   
292  180816_031  callisto      cycle04         adj_active_polymerase   
361  180816_031     deneb      cycle09        adj_high_quality_reads   
382  180816_031  callisto      cycle08        adj_high_quality_reads   
392  180816_031     deneb      cycle06  num_align_high_quality_reads   
398  180816_031  callisto      cycle08  num_align_high_quality_reads   
414  180816_031     deneb      cycle04  num_align_high_quality_reads   

         value  
19        19.0  
99   2072785.0  
101  2061059.0  
119  2072785.0  
133  1714292.0  
135  1682208.0  
155  1830032.0  
218   948971.0  
237   882671.0  
239   681452.0  
265   951689.0  
267    86914.0  
270   687988.0  
287   137926.0  
292   675306.0  
361    99704.0  
382        NaN  
392   480081.0  
398   405196.0  
414   285176.0  

我试图用光滑的线条创建散点图(预期输出在下面)。

我正在使用下面的代码(与帮助)来复制相同的内容,但是我的图例值在绘图区域重叠。

用于产生输出的代码

代码语言:javascript
复制
df['cycle_number'] = df['cycle_number'].str.replace('cycle', '')
df['cycle_number'] = df['cycle_number'].apply(pd.to_numeric)

fig, ax = plt.subplots()
fig.set_size_inches(16, 4)
# sns.pointplot('cycle_number', 'value', data=df, hue='variable', err_style="bars", ci=68)
g2=sns.lmplot('cycle_number', 'value', data=df, hue='variable', ci=2, order=5, truncate=True)
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
# Put a legend to the right of the current axis
#ax.legend(loc='right', bbox_to_anchor=(1, 0.1))
ax.legend(loc='left', bbox_to_anchor=(1, 0))
for p in ax.patches:
             ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
                 ha='center', va='center', fontsize=11, color='gray', xytext=(0, 20),
                 textcoords='offset points')

plt.show()

请帮助从绘图区域移除重叠的图例。

EN

回答 1

Stack Overflow用户

回答已采纳

发布于 2018-08-24 15:38:33

只需替换

代码语言:javascript
复制
ax.legend(loc='left', bbox_to_anchor=(1, 0))

通过

代码语言:javascript
复制
ax.legend(loc=(1.05, 0.2))

您可以根据您想要的位置修改位置(1.05, 0.2)。这里的数值以分数为单位。

票数 2
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页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/52007577

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