body
{
font-family:Verdana;
font-size:small;
}
table,td,th
{
border-color:#95B3D7 white;
border-collapse:collapse;
font-size:small;
}
th
{
background-color:#DBE5F1;
color:black;
padding:5px;
}
td
{
text-align:right;
padding:5px;
}
td.left
{
text-align:left;
padding:5px;
}
Tuesday, November 24, 2015
Tuesday, November 17, 2015
python pandas groupby agg percentiles?
use the ways as described in stackoverflow from google search
or
simply use describe:
df.groupby([col1, col2]).describe(percentiles=[.75, .95])
Optionally, you may wanna have the aggregated value display horizontally and round the numbers by appending:
df.groupby([col1, col2]).describe(percentiles=[.75, .95]).unstack().apply(lambda x:np.round(x,0))
or
simply use describe:
df.groupby([col1, col2]).describe(percentiles=[.75, .95])
Optionally, you may wanna have the aggregated value display horizontally and round the numbers by appending:
df.groupby([col1, col2]).describe(percentiles=[.75, .95]).unstack().apply(lambda x:np.round(x,0))
Monday, November 9, 2015
Forex Pattern Recognition, algorithmic trading, monte carlo simulation
http://pythonprogramming.net/dashboard/#tab_forexpatrectrading
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