Pandas max value index

Question

I have a Pandas DataFrame with a mix of screen names, tweets, fav’s etc. I want find the max value of ‘favcount’ (which i have already done) and also return the screen name of that ‘tweet’

df = pd.DataFrame()
df['timestamp'] = timestamp
df['sn'] = sn
df['text'] = text
df['favcount'] = fav_count


print df
print '------'
print df['favcount'].max()

I cant seem to find anything on this, can anyone help guide me in the right direction?

Asked By: mGarsteck

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Source

Answer 1

Use ~~argmax()~~ idxmax() to get the index of the max value. Then you can use loc

df.loc[df['favcount'].idxmax(), 'sn']

Edit: argmax() is now deprecated, switching for idxmax()

Answered By: Steven G

Answer 2

I think you need idxmax – get index of max value of favcount and then select value in column sn by loc:

df = pd.DataFrame({'favcount':[1,2,3], 'sn':['a','b','c']})

print (df)
   favcount sn
0         1  a
1         2  b
2         3  c

print (df.favcount.idxmax())
2

print (df.loc[df.favcount.idxmax()])
favcount    3
sn          c
Name: 2, dtype: object

print (df.loc[df.favcount.idxmax(), 'sn'])
c

Answered By: jezrael

Answer 3

By using same df as above,

# python code
df = pd.DataFrame({'favcount':[1,2,3], 'sn':['a','b','c']})
print (df)
favcount sn
0         1  a
1         2  b
2         3  c
## You can use max()
print(df[df.favcount.max() == df['favcount']])
favcount sn
2         3  c
## If you need specific column you can select it
print(df[df.favcount.max() == df['favcount']].sn)
2    c

Answered By: mcarrasco

Pandas max value index

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