In [18]:
import numpy as np
import pandas as pd
from scipy import stats
In [19]:
data = pd.read_csv('~/Dropbox/gw_data.csv')
In [20]:
mw1_arsenic = data[(data['location_id'].isin(['MW-1']) & data['param_name'].isin(['Arsenic, dissolved']))]
In [21]:
mw1_arsenic
Out[21]:
In [22]:
stats.kstest(mw1_arsenic['analysis_result'], 'lognorm', stats.lognorm.fit(mw1_arsenic['analysis_result']))
Out[22]:
In [17]:
stats.lognorm.fit(mw1_arsenic['analysis_result'])
Out[17]:
In [30]:
mw1_arsenic['analysis_result'] = mw1_arsenic['analysis_result'].transform(np.log)
In [31]:
mw1_arsenic
Out[31]:
In [ ]:
def dunnettk(n, df=n-1, k, m, method, tail_type, conf_level):
alpha = 1-conf_level