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38 def fill_empty(df: pd.DataFrame) -> pd.DataFrame: 39 """Fill the gaps in the 'original' column with values from 'index' 40 Args: 41 df: 42 Returns: 43 """ 44 index = df["original"].isnull() 45 df.loc[index, "original"] = df.loc[index, "index"] 46 47 return df
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562 def get_empty_results_frame(): 563 564 results_columns = ['file_name', 565 'nRoundedTimeDuplicatesRemoved', 566 'cgmPercentDuplicated', 567 'gte40_lt70', 568 'gte70_lte180', 569 'gt180_lte400', 570 'lt-1', 571 'gte-1_lte1', 572 'gt1'] 573 574 for num in range(10): 575 results_columns.append("cond" + str(num)) 576 577 for num in range(9): 578 # Append snapshot locations to dataframe 579 results_columns.append("cond"+str(num+1)+"_eval_time") 580 581 results_frame = pd.DataFrame(index=[0], columns=results_columns) 582 583 return results_frame
56 @staticmethod 57 def make_default_dataframe(): 58 return pd.DataFrame(np.random.randint(0, 10, size=(10, 3)), columns=list('ABC'))