WebNov 5, 2024 · apply gives series indexed by column labels. The problem with idx = data.iloc[5].index is data.iloc[5] converts a row to a pd.Series object indexed by column labels.. In fact, what you are asking for is impossible via pd.DataFrame.apply because the series that feeds your retrieve_gender function does not include any index identifier.. … WebFeb 6, 2024 · Be aware that if no value for Force is less than 3, then the maximum will be False and the first instance will be the first one. Also consider the alternative argmax. df.Force.lt(3).values.argmax() 3 It returns the position of the first instance of maximal value. You can then use this to find the corresponding index value:
How do i find the iloc of a row in pandas dataframe?
Web# Method 1: Using df.index.values.tolist() We can get df.index object from the DataFrame and then get the index values from it. In order to do that we can use the below code. … WebJan 20, 2016 · get_loc returns the ordinal position of the label in your index which is what you want: In [135]: df.iloc [df.index.get_loc (window_stop_row.name)] Out [135]: A 0.134112 B 1.964386 C -0.120282 D 0.573676 Name: 2000-01-03 00:00:00, dtype: float64. if you just want to search the index then so long as it is sorted then you can use … green bus from dublin to limerick
python - pandas - find first occurrence - Stack Overflow
WebDec 26, 2024 · With get_level_values and Index.isin (similar to above): df[df.index.get_level_values('two').isin(['t', 'w'])] ... Recently I came across a use case where I had a 3+ level multi-index dataframe in which I couldn't make any of the solutions above produce the results I was looking for. It's quite possible that the above solutions do of … WebApr 30, 2015 · This works to get the column but max(x.idxmax()) only returns the numerical maximum of the indices themselves, not the index of the maximum value in the table (just got lucky in this example because everything else is 0's). An alternative is: s = x.max()[x.max() == x.max(index=1).max()].index s = str(s[0]) max_index = x.idxmax()[s] WebOct 8, 2024 · What is the pandas way of finding the indices of identical rows within a given DataFrame without iterating over individual rows? While it is possible to find all unique rows with unique = df[df.duplicated()] and then iterating over the unique entries with unique.iterrows() and extracting the indices of equal entries with help of pd.where(), what … flower wedding decorations centerpiece