我有一个数据帧如下(经过大量预处理后获得)
请查找数据帧
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:
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
我正在尝试创建具有平滑线的散点图(预期输出如下)
我正在使用下面的代码(在帮助下)复制相同的代码,但是我的图例值在绘图区域重叠。
用于生成输出的代码
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()
请帮助从绘图区域中删除重叠的图例
只要替换一下
由
您可以根据所需位置修改位置
(1.05, 0.2)
。这里的值是分数。你知道吗相关问题 更多 >
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