Category : keyerror

I want to output something that looks like this (with 20 items per line): hyperlink{Psalm1}{1} & hyperlink{Psalm2}{2} & hyperlink{Psalm3}{3} … Using Python (simplification of my loop, but enough to show the key error) I attempted: for indx in range(1, 150, 20): line = r""" hline hyperlink{{{bn}{i}}}{{{i}}} & hyperlink{{{bn}{i+1}}}{{{i+1}}} & hyperlink{{{bn}{i+2}}}{{{i+2}}} … """.format( i=indx, bn = ..

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How can i handle KeyError with if’s? Depending the error, handling the error from a diferrent way. speed_uhc_team = counts_stats[‘games’][‘SPEED_UHC’][‘modes’][‘team_normal’] speed_uhc_solo = counts_stats[‘games’][‘SPEED_UHC’][‘modes’][‘solo_normal’] What i want is if the key team_normal don’t exist in the dictionary assign a value of my choice to that key. But when the key team_normal exists, just assign the key ..

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I got the error as below: The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:UsersstevePycharmProjectsEmpirical Asset via Machine Learningvenvlibsite-packagespandascoreindexesbase.py", line 3361, in get_loc return self._engine.get_loc(casted_key) File "pandas_libsindex.pyx", line 76, in pandas._libs.index.IndexEngine.get_loc File "pandas_libsindex.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc File "pandas_libshashtable_class_helper.pxi", line 5198, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas_libshashtable_class_helper.pxi", line ..

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I have a dataframe which consists of text, categorical and numerical features. IN the numerical feature , I have 4 features as follows: Price Teacher_previosuly… Positive Negative Neutral Compound Hereis the relevant part of the datarframe: These last 4 features are the sentinent analysis attributes, which give out the polarity score for my each of ..

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why this source code showing keyerror. I have already checked all codes but they are ok. Its a logistic regression analysis def testPerformance(y, y_predicted): K = len(unique(y)) # Number of classes # Result will be our confusion matrix result = zeros((K, K)) for i in range(len(y)): result[y[i]][y_predicted[i]] += 1 accuracy = (result[0][0] + result[1][1]) / ..

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In Python I use a loop and in the 6th line from the end in the code attached ( Portfolio_1_4 = Portfolio_1_4 * SP1500DailyReturns.loc[n_short, ‘S&P 1500 SUPER COMPOSITE – PRICE INDEX’] / SP1500DailyReturns.loc[str(Portfolio_1_4_Date_sell_short), ‘S&P 1500 SUPER COMPOSITE – PRICE INDEX’]) I get a Key Error. This error appears as for some dates information is not ..

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