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Tag: Values

C++11 Multithreading – Part 8: std::future , std::promise and Returning values from Thread

std::promise and std::future

A std::future object can be used with asych, std::packaged_task and std::promise. In this article will mainly focus on using std::future with std::promise object. Many times we encounter a situation where we want a thread to return a result. Advertisements Now question is how to do this? Lets take an example, Frequently Asked: C++11 Multithreading – …

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Finding all values for a key in multimap using equals_range – Example

Multimap store elements in key value pair. It can also have duplicate keys. There can be many scenarios when we want to find all the values associated with a key in multimap. For example, we have a multimap of char & int as key value pair and initialzed with following values i.e. Advertisements {‘a’, 1}, {‘b’, …

Finding all values for a key in multimap using equals_range – ExampleRead More

Java : Creating HashMap by associating multiple values with same Key

In this article we will discuss how to create a HashMap with multiple values associated with same Key in Java. Suppose we want to create a HashMap to keep the track of strings and their occurrences in text. For example. Advertisements “the” occurred at following indexes 1,4,8,12. “at” occurred at following indexes 22, 28, 44 …

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Python : How to create a list and initialize with same values

In this article we will discuss how to create a list and initialise with same values. Creating a list of same values by [] and multiply Suppose we want to create a list of strings, which contains 20 same strings i.e. ‘Hi’ Advertisements [‘Hi’, ‘Hi’, ‘Hi’, ‘Hi’, ‘Hi’, ‘Hi’, ‘Hi’, ‘Hi’, ‘Hi’, ‘Hi’, ‘Hi’, ‘Hi’, …

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Python Pandas : How to Drop rows in DataFrame by conditions on column values

In this article we will discuss how to delete rows based in DataFrame by checking multiple conditions on column values. DataFrame provides a member function drop() i.e. Advertisements DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors=’raise’) It accepts a single or list of label names and deletes the corresponding rows or columns (based on value of axis …

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Python Pandas : Count NaN or missing values in DataFrame ( also row & column wise)

In this article we will discuss how to find NaN or missing values in a Dataframe. Manytimes we create a DataFrame from an exsisting dataset and it might contain some missing values in any column or row.  For every missing value Pandas add NaN at it’s place. Advertisements Let’s create a dataframe with missing values i.e. …

Python Pandas : Count NaN or missing values in DataFrame ( also row & column wise)Read More

Python : Find unique values in a numpy array with frequency & indices | numpy.unique()

In this article we will discuss how to find unique values / rows / columns in a 1D & 2D Numpy array. Also how to find their index position & frequency count using numpy.unique(). numpy.unique() Python’s numpy module provides a function to find the unique elements in a numpy array i.e. Advertisements numpy.unique(ar, return_index=False, return_inverse=False, return_counts=False, …

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Pandas: Sort rows or columns in Dataframe based on values using Dataframe.sort_values()

In this article we will discuss how to sort rows in ascending and descending order based on values in a single or multiple columns . Also, how to sort columns based on values in rows using DataFrame.sort_values() DataFrame.sort_values() In Python’s Pandas library, Dataframe class provides a member function to sort the content of dataframe i.e. Advertisements …

Pandas: Sort rows or columns in Dataframe based on values using Dataframe.sort_values()Read More

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