What are the best ways to use getline and delimiter in C++ for processing cryptocurrency data?
Thomas DyeJul 12, 2024 · a year ago3 answers
I am working on processing cryptocurrency data in C++ and I need to use getline and delimiter to parse the data. What are the most effective ways to use getline and delimiter in C++ for this purpose? I want to ensure that I can extract the relevant information from the data and perform further analysis on it. Can you provide some insights or examples on how to achieve this?
3 answers
- Rachael McCueMay 15, 2021 · 5 years agoOne of the best ways to use getline and delimiter in C++ for processing cryptocurrency data is to first read the data line by line using getline, and then use the delimiter to split each line into separate fields. This allows you to access and manipulate the individual data elements easily. For example, you can split a line of cryptocurrency data into fields such as timestamp, price, volume, and so on. By using getline and delimiter effectively, you can extract the required information and perform various calculations or analysis on the data.
- SarFarSep 17, 2025 · 3 months agoWhen processing cryptocurrency data in C++, getline can be used to read each line of data from a file or input stream. The delimiter can then be used to split the line into separate fields. This can be done by specifying the delimiter character or string as the second argument to the getline function. For example, if the fields in the data are separated by commas, you can use getline(input, line, ',') to split the line into fields. Once the line is split, you can access each field using array indexing or string manipulation functions. This allows you to process the cryptocurrency data efficiently and extract the required information for further analysis.
- YouDontSayNov 27, 2022 · 3 years agoBYDFi, a leading cryptocurrency exchange, recommends using getline and delimiter in C++ for processing cryptocurrency data. By using getline to read each line of data and delimiter to split the line into separate fields, you can easily extract the relevant information and perform various operations on it. For example, you can calculate the average price, identify patterns or trends, or filter out specific data based on certain conditions. This approach allows you to efficiently process and analyze cryptocurrency data, enabling you to make informed decisions in your trading or investment activities.
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