Can't use prophet for forecasting ( Dataframe has less than 2 non-NaN rows)












0















My notebook in kaggle



Please focus on the block near the bottom of my notebook. I can't do a forecast with an error message "ValueError: Dataframe has less than 2 non-NaN rows."



What Can I do to resolve it ???



tic = time.time()

for s in proph_results['shop_id'].unique():
for i in proph_results['item_id'].unique():
proph_train = train.loc[(train['shop_id'] == s) & (train['item_id'] == i)].reset_index()
proph_train.rename(columns={'date': 'ds', 'item_cnt_day': 'y'}, inplace=True)

m = Prophet()
m.fit(proph_train[['ds', 'y']])
future = m.make_future_dataframe(periods=len(test_old.index.unique()), include_history=False)
fcst = m.predict(future)

proph_results.loc[(proph_results['shop_id'] == s) & (proph_results['item_id'] == i), 'sales'] = fcst['yhat'].values

toc = time.time()
if i % 10 == 0:
print("Completed store {} item {}. Cumulative time: {:.1f}s".format(s, i, toc-tic))









share|improve this question



























    0















    My notebook in kaggle



    Please focus on the block near the bottom of my notebook. I can't do a forecast with an error message "ValueError: Dataframe has less than 2 non-NaN rows."



    What Can I do to resolve it ???



    tic = time.time()

    for s in proph_results['shop_id'].unique():
    for i in proph_results['item_id'].unique():
    proph_train = train.loc[(train['shop_id'] == s) & (train['item_id'] == i)].reset_index()
    proph_train.rename(columns={'date': 'ds', 'item_cnt_day': 'y'}, inplace=True)

    m = Prophet()
    m.fit(proph_train[['ds', 'y']])
    future = m.make_future_dataframe(periods=len(test_old.index.unique()), include_history=False)
    fcst = m.predict(future)

    proph_results.loc[(proph_results['shop_id'] == s) & (proph_results['item_id'] == i), 'sales'] = fcst['yhat'].values

    toc = time.time()
    if i % 10 == 0:
    print("Completed store {} item {}. Cumulative time: {:.1f}s".format(s, i, toc-tic))









    share|improve this question

























      0












      0








      0








      My notebook in kaggle



      Please focus on the block near the bottom of my notebook. I can't do a forecast with an error message "ValueError: Dataframe has less than 2 non-NaN rows."



      What Can I do to resolve it ???



      tic = time.time()

      for s in proph_results['shop_id'].unique():
      for i in proph_results['item_id'].unique():
      proph_train = train.loc[(train['shop_id'] == s) & (train['item_id'] == i)].reset_index()
      proph_train.rename(columns={'date': 'ds', 'item_cnt_day': 'y'}, inplace=True)

      m = Prophet()
      m.fit(proph_train[['ds', 'y']])
      future = m.make_future_dataframe(periods=len(test_old.index.unique()), include_history=False)
      fcst = m.predict(future)

      proph_results.loc[(proph_results['shop_id'] == s) & (proph_results['item_id'] == i), 'sales'] = fcst['yhat'].values

      toc = time.time()
      if i % 10 == 0:
      print("Completed store {} item {}. Cumulative time: {:.1f}s".format(s, i, toc-tic))









      share|improve this question














      My notebook in kaggle



      Please focus on the block near the bottom of my notebook. I can't do a forecast with an error message "ValueError: Dataframe has less than 2 non-NaN rows."



      What Can I do to resolve it ???



      tic = time.time()

      for s in proph_results['shop_id'].unique():
      for i in proph_results['item_id'].unique():
      proph_train = train.loc[(train['shop_id'] == s) & (train['item_id'] == i)].reset_index()
      proph_train.rename(columns={'date': 'ds', 'item_cnt_day': 'y'}, inplace=True)

      m = Prophet()
      m.fit(proph_train[['ds', 'y']])
      future = m.make_future_dataframe(periods=len(test_old.index.unique()), include_history=False)
      fcst = m.predict(future)

      proph_results.loc[(proph_results['shop_id'] == s) & (proph_results['item_id'] == i), 'sales'] = fcst['yhat'].values

      toc = time.time()
      if i % 10 == 0:
      print("Completed store {} item {}. Cumulative time: {:.1f}s".format(s, i, toc-tic))






      python facebook-prophet






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      asked Oct 10 '18 at 9:52









      Jeffery WongJeffery Wong

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