Pandas Series Get Value By Condition

Pandas Series Get Value By Condition - ;Method 1: Get Value from Pandas Series Using Index. The following code shows how to get the value in the third position of a pandas Series using the index value: import pandas as pd #define Series my_series = pd.Series( ['A', 'B', 'C', 'D', 'E']) #get third value in Series print(my_series [2]) C. In my case I had a pandas Series where the values are tuples of characters Out 67 0 H H H H 1 H H H T 2 H H T H 3 H H T T 4 H T H H Therefore I could use indexing to filter the series but to create the index I needed apply My condition is quot find all tuples which have exactly one H quot

Pandas Series Get Value By Condition

Pandas Series Get Value By Condition

pandas.Series.get #. Get item from object for given key (ex: DataFrame column). Returns default value if not found. >>> df = pd.DataFrame( ... [ ... [24.3, 75.7, "high"], ... [31, 87.8, "high"], ... [22, 71.6, "medium"], ... [35, 95, "medium"], ... ], ... columns=["temp_celsius", "temp_fahrenheit", "windspeed"], ... index=pd. ;You can use the following methods to filter the values in a pandas Series: Method 1: Filter Values Based on One Condition. #filter for values equal to 7 my_series. loc [lambda x : x == 7] Method 2: Filter Values Using “OR” Condition. #filter for values less than 10 or greater than 20 my_series. loc [lambda x : (x < 10) | (x > 20)]

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Pandas Series Get Value By ConditionSeries.where(cond, other=nan, *, inplace=False, axis=None, level=None) [source] #. Replace values where the condition is False. Parameters: condbool Series/DataFrame, array-like, or callable. Where cond is True, keep the original value. Where False, replace with corresponding value from other . 7 Answers Sorted by 381 You could use loc to get series which satisfying your condition and then iloc to get first element In 2 df Out 2 A B 0 p1 1 1 p1 2 2 p3 3 3 p2 4 In 3 df loc df B 3 A Out 3 2 p3 Name A dtype object In 4 df loc df B 3 A iloc 0 Out 4 p3 Share Follow

;3 Answers Sorted by: 71 First of all, you're better off accessing both the row and column indices from the .loc: x.loc [x ['A'] == 2, 'B'] Second, you can always get at the underlying numpy matrix using .values on a series or dataframe: Set Column Names When Reading CSV As Pandas DataFrame In Python Python Efinance

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;The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.get_values () function return an ndarray containing the underlying data of the given series object. Syntax: Series.get_values () How To Convert NumPy Array To Pandas Series Spark By Examples

;The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.get_values () function return an ndarray containing the underlying data of the given series object. Syntax: Series.get_values () Solved How To Get Value By Key From JObject 9to5Answer Pandas How To Get Cell Value From DataFrame Spark By Examples