plotnine:: 在 after_stat 中引用 facet_wrap 的参数是否有更好的方式？

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英文:

plotnine:: is there a better way to refer args of facet_wrap in after_stat

问题

以下是您要的内容的翻译：

"I wants to show percentages for bar plots using plotnine with facet_wrap and stat = 'count'.
(Of course I can do it with preparation of values and stat = 'identity', but I want to avoid it.)
When I give the arg of facet_wrap to aes, I can refer it in after_stat.
But it needs to nullify the aes manually. it seems ridiculous.
Is there a better way to do it ?

Any help would be greatly appreciated. Below is an example;

  1. from plotnine import *
  2. from plotnine.data import mtcars
  3. import pandas as pd
  5. def prop_per_xcc(x, color, count):
  6.     df = pd.DataFrame({'x': x, 'color': color, 'count': count})
  7.     prop = df['count']/df.groupby(['x', 'color'])['count'].transform('sum')
  8.     return prop
  10. facet_num = mtcars.vs.nunique()
  12. print(
  13.     ggplot(mtcars, aes('factor(cyl)', fill='factor(am)')) + 
  14.     geom_bar(position='fill') + 
  15.     geom_text(aes(color = "factor(vs)",  # sets arg of facet wrap to refer in after_stat
  16.                   label = after_stat('prop_per_xcc(x, color, count) * 100')),
  17.               stat = 'count',
  18.               position = position_fill(vjust = 0.5),
  19.               format_string = '{:.1f}%',
  20.               show_legend = False) +
  21.     scale_color_manual(values = ["black"] * facet_num) +  # nullify the aes manually
  22.     facet_wrap("vs")
  23. )

plotnine:: 在 after_stat 中引用 facet_wrap 的参数是否有更好的方式？

  2. [![enter image description here][1]][1]"
  4. <details>
  5. <summary>英文:</summary>
  7. I wants to show percentages for bar plots using `plotnine` with `facet_wrap` and `stat = &#39;count&#39;`.  
  8. (Of course I can do it with preparation of values and `stat = &#39;identity&#39;`, but I want to avoid it.)  
  9. When I give the arg of `facet_wrap` to `aes`, I can refer it in `after_stat`.  
  10. But it needs to nullify the `aes` manually. it seems ridiculous.  
  11. Is there a better way to do it ? 
  13. Any help would be greatly appreciated. Below is an example;

from plotnine import *
from plotnine.data import mtcars
import pandas as pd

def prop_per_xcc(x, color, count):
df = pd.DataFrame({'x': x, 'color': color, 'count': count})
prop = df['count']/df.groupby(['x', 'color'])['count'].transform('sum')
return prop

facet_num = mtcars.vs.nunique()

print(
ggplot(mtcars, aes('factor(cyl)', fill='factor(am)')) +
geom_bar(position='fill') +
geom_text(aes(color = "factor(vs)", # sets arg of facet wrap to refer in after_stat
label = after_stat('prop_per_xcc(x, color, count) * 100')),
stat = 'count',
position = position_fill(vjust = 0.5),
format_string = '{:.1f}%',
show_legend = False) +
scale_color_manual(values = ["black"] * facet_num) + # nullify the aes manually
facet_wrap("vs")
)

  1. [![enter image description here][1]][1]
  4.   [1]: https://i.stack.imgur.com/miJUW.png
  6. </details>
  9. # 答案1
  10. **得分**: 1
  12. 您的想法是正确的，但您可能不了解正确的语法。您应该使用分阶段的审美评估。
  14. ```python
  15. from plotnine import *
  16. from plotnine.data import mtcars
  17. import pandas as pd
  19. def prop_per_xcc(x, label, count):
  20.     df = pd.DataFrame({'x': x, 'label': label, 'count': count})
  21.     prop = df['count']/df.groupby(['x', 'label'])['count'].transform('sum')
  22.     return prop
  24. facet_num = mtcars.vs.nunique()
  26. print(
  27.     ggplot(mtcars, aes('factor(cyl)', fill='factor(am)')) + 
  28.     geom_bar(position='fill') + 
  29.     geom_text(aes(label = stage(start="vs", after_stat='prop_per_xcc(x, label, count) * 100')),
  30.               stat = 'count',
  31.               position = position_fill(vjust = 0.5),
  32.               format_string = '{:.1f}%',
  33.               show_legend = False) +
  34.     facet_wrap("vs")
  35. )

plotnine:: 在 after_stat 中引用 facet_wrap 的参数是否有更好的方式？

它表示label映射到与分面相同的变量，然后在计算统计数据后由自定义函数进行精化。

英文:

You are thinking correctly, but just don't know about the right syntax. You should use staged aesthetic evaluation.

  1. from plotnine import *
  2. from plotnine.data import mtcars
  3. import pandas as pd
  5. def prop_per_xcc(x, label, count):
  6.     df = pd.DataFrame({&#39;x&#39;: x, &#39;label&#39;: label, &#39;count&#39;: count})
  7.     prop = df[&#39;count&#39;]/df.groupby([&#39;x&#39;, &#39;label&#39;])[&#39;count&#39;].transform(&#39;sum&#39;)
  8.     return prop
  11. facet_num = mtcars.vs.nunique()
  13. print(
  14.     ggplot(mtcars, aes(&#39;factor(cyl)&#39;, fill=&#39;factor(am)&#39;)) + 
  15.     geom_bar(position=&#39;fill&#39;) + 
  16.     geom_text(aes(label = stage(start=&quot;vs&quot;, after_stat=&#39;prop_per_xcc(x, label, count) * 100&#39;)),
  17.               stat = &#39;count&#39;,
  18.               position = position_fill(vjust = 0.5),
  19.               format_string = &#39;{:.1f}%&#39;,
  20.               show_legend = False) +
  21.     facet_wrap(&quot;vs&quot;)
  22. )

plotnine:: 在 after_stat 中引用 facet_wrap 的参数是否有更好的方式？

It says, the label is mapped to the same variable as the facets, then refined by the custom function after the statistics are calculated.

huangapple
  • 本文由 发表于 2023年2月24日 13:55:10
  • 转载请务必保留本文链接：https://go.coder-hub.com/75553061.html
  • plotnine
  • python
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