[英]Python 3: pandas group multiindex and mean of 2 separate columns per multiindex
What code do I need to perform a mean
of both drugs and health per session by type.我需要什么代码来按类型执行 session 的药物和健康的
mean
。
df[['drugs', 'health', 'session', 'type']]
these all are currently columns.这些都是目前的专栏。 I though it ought to be indexed by both
session
(first) and then type
.我虽然它应该被
session
(首先)和然后type
索引。
grouped_S = grouped['session'].as_index=True
grouped_c = grouped['type'].as_index=True
grouped_dh = grouped['drugs', 'health'].mean().as_index=False
How do I correct this code to make it work: getting an average of drugs and health per session and by type?我如何更正此代码以使其工作:按 session 和类型获取药物和健康的平均数?
IIUC, try this: IIUC,试试这个:
df.groupby(['session', 'type'])[['drugs', 'health']].mean()
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