Reputation: 21
I've tried a few different methods, even just raw wait(240) but it appears that this sometimes doesnt even given enough time.
However I can not get these 2 lines to return before it loops into the next for.
f.summary()
f.get_best(method='sumsquare_error')
import numpy as np
import pandas as pd
import seaborn as sns
from fitter import Fitter#, get_common_distributions, get_distributions
from fitter import get_common_distributions
from fitter import get_distributions
from IPython.display import clear_output
import warnings
import pandas as pd
from pandas.core.common import SettingWithCopyWarning
warnings.simplefilter(action="ignore", category=SettingWithCopyWarning)
import time
import subprocess
dataset = pd.read_csv("econ.csv")
for col in dataset.columns:
try:
print(col)
spac = dataset[col].values
f = Fitter(spac, distributions=get_distributions())
f.fit()
f.summary()
f.get_best(method='sumsquare_error')
print("")
#subprocess.call
#result = col.result
#time.sleep(180)
except:
pass
Upvotes: 0
Views: 183
Reputation: 21
Yes @crunker99, you are correct, the notebook does appear to be jumping on because of the f.get_best(...) not being the last line.
As such I set up an empty dataframe and captured the outputs as such.
df = pd.DataFrame({'Name': pd.Series([], dtype='str'),
'Output': pd.Series([], dtype='str')})
df.loc[n]=[col]+[f.get_best(method='sumsquare_error')]
Cheers! A bit silly on my side! haha
Upvotes: 1