我想绘制一个网格叠加条形图,如栅格堆叠条形图示例中所示。
我有这个数据集:
pd.DataFrame({
'storage': ['dev01', 'dev01', 'dev01', 'dev02', 'dev02', 'dev03'],
'project': ['omega', 'alpha', 'beta', 'omega', 'beta', 'alpha'],
'read': [3, 0, 0, 114, 27, 82],
'write': [70, 0, 0, 45, 655, 203],
'read-write': [313, 322, 45, 89, 90, 12]
})
storage project read write read-write
0 dev01 omega 3 70 313
1 dev01 alpha 0 0 322
2 dev01 beta 0 0 45
3 dev02 omega 114 45 89
4 dev02 beta 27 655 90
5 dev03 alpha 82 203 12我无法理解的是如何将read、write、read-write列指定为Altair的颜色/值。
发布于 2020-10-19 06:08:51
您的数据是宽格式的,必须转换为长型,以便在牛尾编码中使用.有关更多信息,请参见牛市文档中的长型数据与宽格式数据。
可以通过使用pd.melt修改Pandas中的输入数据来解决这一问题,但是使用Altair的褶皱变换在图表规范中进行这种整形通常更方便。例如:
import pandas as pd
import altair as alt
df = pd.DataFrame({
'storage': ['dev01', 'dev01', 'dev01', 'dev02', 'dev02', 'dev03'],
'project': ['omega', 'alpha', 'beta', 'omega', 'beta', 'alpha'],
'read': [3, 0, 0, 114, 27, 82],
'write': [70, 0, 0, 45, 655, 203],
'read-write': [313, 322, 45, 89, 90, 12]
})
alt.Chart(df).transform_fold(
['read', 'write', 'read-write'],
as_=['mode', 'value']
).mark_bar().encode(
x='value:Q',
y='project:N',
column='storage:N',
color='mode:N'
).properties(
width=200
)

发布于 2020-10-18 22:26:04
需要将所需列melt为新列:
# assuming your DataFrame is assigned to `df`
cols_to_melt = ['read', 'write', 'read-write']
cols_to_keep = df.columns.difference(cols_to_melt)
df = df.melt(cols_to_keep, cols_to_melt, 'mode')所以你得到了以下信息:
project storage mode value
0 omega dev01 read 3
1 alpha dev01 read 0
2 beta dev01 read 0
3 omega dev02 read 114
4 beta dev02 read 27
5 alpha dev03 read 82
6 omega dev01 write 70
7 alpha dev01 write 0
8 beta dev01 write 0
9 omega dev02 write 45
10 beta dev02 write 655
11 alpha dev03 write 203
12 omega dev01 read-write 313
13 alpha dev01 read-write 322
14 beta dev01 read-write 45
15 omega dev02 read-write 89
16 beta dev02 read-write 90
17 alpha dev03 read-write 12然后在牛郎星片段中,而不是在color='site'中,使用color='mode'。
https://stackoverflow.com/questions/64418356
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