Use groupby in Pandas to count things in one column in comparison to another

Question

Maybe groupby is the wrong approach. Seems like it should work but I'm not seeing it...

I want to group an event by it's outcome. Here is my DataFrame (df):

Status  Event
SUCCESS Run
SUCCESS Walk
SUCCESS Run
FAILED  Walk

Here is my desired result:

Event   SUCCESS FAILED
Run     2       1
Walk    0       1

I'm trying to make a grouped object but I can't figure out how to call it to display what I want.

grouped = df['Status'].groupby(df['Event'])

Answer 1

try this:

 pd.crosstab(df.Event, df.Status)

Status  FAILED  SUCCESS
Event                  
Run          0        2
Walk         1        1


len("df.groupby('Event').Status.value_counts().unstack().fillna(0)")
61

len("df.pivot_table(index='Event', columns='Status', aggfunc=len, fill_value=0)")
74

len("pd.crosstab(df.Event, df.Status)")
32