Dataframe get index by condition

WebDec 26, 2024 · This is especially desirable from a performance standpoint if you plan on doing multiple such queries in tandem: df_sort = df.sort_index () df_sort.loc [ ('c', 'u')] You can also use MultiIndex.is_lexsorted () to check whether the index is sorted or not. This function returns True or False accordingly. WebIndexing and selecting data #. Indexing and selecting data. #. The axis labeling information in pandas objects serves many purposes: Identifies data (i.e. provides metadata) using known indicators, important for …

Pandas: Get Index of Rows Whose Column Matches Value

WebAug 2, 2024 · Sorted by: 4 You can add the following code: Retrieve the index based on the condition. Assumes constant increasing down the channels. lower_channel_energy = df … WebAug 20, 2013 · I'm impressed with all the answers here. This is not a new answer, just an attempt to summarize the timings of all these methods. I considered the case of a series with 25 elements and assumed the general case where the index could contain any values and you want the index value corresponding to the search value which is towards the … siemens head office in egypt https://new-direction-foods.com

pandas.DataFrame.where — pandas 2.0.0 documentation

WebApr 10, 2024 · It looks like a .join.. You could use .unique with keep="last" to generate your search space. (df.with_columns(pl.col("count") + 1) .unique( subset=["id", "count ... WebJun 10, 2024 · Let’s see how to Select rows based on some conditions in Pandas DataFrame. Selecting rows based on particular column value using '>', '=', '=', '<=', '!=' operator. Code #1 : Selecting all the rows from the … WebMay 24, 2013 · I have constructed a condition that extracts exactly one row from my data frame: d2 = df [ (df ['l_ext']==l_ext) & (df ['item']==item) & (df ['wn']==wn) & (df ['wd']==1)] Now I would like to take a value from a particular column: val = d2 ['col_name'] But as a result, I get a data frame that contains one row and one column (i.e., one cell). siemens headquarters address in united states

python - get indexes with condition - Stack Overflow

Category:dataframe - How to get row index number in R? - Stack Overflow

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Dataframe get index by condition

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WebJan 29, 2024 · This is not a correct answer. This would also return rows which index is equal to x (i.e. '2002-1-1 01:00:00' would be included), whereas the question is to select rows which index is larger than x. @bennylp Good point. To get strictly larger we could use a +epsilon e.g. pd.Timestamp ('2002-1-1 01:00:00.0001') WebOct 4, 2024 · 3,680 4 36 61. the second solution didn't work on my dataframe, but the first solution did. The second solution works for accessing a value in a column. If you want the index of the value of a column, you would do countries ['Country_Name'].index [2] – Kaleb Coberly. Oct 11, 2024 at 2:49. Add a comment.

Dataframe get index by condition

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WebHere’s an example code to convert a CSV file to an Excel file using Python: # Read the CSV file into a Pandas DataFrame df = pd.read_csv ('input_file.csv') # Write the DataFrame to … WebJan 20, 2016 · Result: dataframe. which (df == "2") #returns rowIndexes results from the entire dataset, in this case it returns a list of 3 index numb. Result: 5 13 17. length (which (df == "2")) #count numb. of rows that matches a condition. Result: 3. You can also do this column wise, example of:

WebOct 5, 2024 · In this program, we will discuss how to get the index of the maximum value in Pandas Python. In Python Pandas DataFrame.idmax () method is used to get the index of the first occurrence of maximum over the given axis and this method will always return the index of the maximum value and if the column or row in the Pandas DataFrame is … WebJul 15, 2024 · Method 1: Using for loop. In Python, we can easily get the index or rows of a pandas DataFrame object using a for loop. In this method, we will create a pandas …

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WebDataFrame.where(cond, other=_NoDefault.no_default, *, inplace=False, axis=None, level=None) [source] #. Replace values where the condition is False. Where cond is True, keep the original value. Where False, replace with corresponding value from other . If cond is callable, it is computed on the Series/DataFrame and should return boolean Series ... siemens healthcare 2161WebAug 30, 2024 · Searching for rows based on indices values. Sometimes it is easier to extract rows based on array indexing. For example, say you want to get all the rows belonging to the North and South zones. You can get the level-0 index and then use the isin() function, like this:. condition = … siemens healthcare bangladeshWebwhere 5, 18, 125 are the index. I'd like to get the line before (or after) a certain index. For instance, I have index 18 (eg. by doing df[df.A==2].index), and I want to get the line before, and I don't know that this line has 5 as an index. 2 sub-questions: How can I get the position of index 18? siemens head coilsWebNov 18, 2016 · This will return a slice of your dataframe which you can index using iloc. Here are your examples: Get first row where A > 3 (returns row 2) >>> df[df.A > 3].iloc[0] A 4 B 6 C 3 Name: 2, dtype: int64 If what you actually want is the row number, rather than using iloc, it would be df[df.A > 3].index[0]. Get first row where A > 4 AND B > 3: siemens headquarters munichWeb37. I am looking for a condition which will return the index of a vector satisfying a condition. For example- I have a vector b = c (0.1, 0.2, 0.7, 0.9) I want to know the first index of b for which say b >0.65. In this case the answer should be 3. I tried which.min (subset (b, b > 0.65)) But this gives me 1 instead of 3. siemens head officeWebMay 21, 2024 · This outputs indices of all the rows whose values in the Sales column are greater than or equal to 300.. pandas.DataFrame.query() to Get Indices of All Rows Whose Particular Column Satisfies Given Condition pandas.DataFrame.query() returns DataFrame resulting from the provided query expression. Now, we can use the index … siemens head office contact detailsWebApr 11, 2024 · 1 Answer. Sorted by: 1. There is probably more efficient method using slicing (assuming the filename have a fixed properties). But you can use os.path.basename. It will automatically retrieve the valid filename from the path. data ['filename_clean'] = data ['filename'].apply (os.path.basename) Share. Improve this answer. siemens healthcare bangalore