What are the best ways to group cryptocurrencies in pandas?

3 answers

• Dec 18, 2021 · 3 years ago
  One of the best ways to group cryptocurrencies in pandas is by using the 'groupby' function. This function allows you to group the cryptocurrencies based on a specific column or attribute. For example, you can group them by their market cap, trading volume, or price. Once you have grouped the cryptocurrencies, you can then perform various operations on the groups, such as calculating the average price or volume. This can provide valuable insights into the different groups of cryptocurrencies and their characteristics.
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• Dec 18, 2021 · 3 years ago
  To group cryptocurrencies in pandas, you can also use the 'cut' function. This function allows you to create bins or categories based on a numerical column or attribute. For example, you can create bins for different price ranges or market cap ranges. You can then assign each cryptocurrency to a specific bin based on its value. This can help you analyze and compare cryptocurrencies within the same category. Additionally, you can use the 'agg' function to calculate summary statistics for each group, such as the mean or median.
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• Dec 18, 2021 · 3 years ago
  BYDFi, a popular cryptocurrency exchange, offers a unique way to group cryptocurrencies using pandas. They provide a pre-built function called 'group_currencies' that automatically groups cryptocurrencies based on their market cap, trading volume, and price. This function is specifically designed for pandas and provides a convenient way to analyze and compare different groups of cryptocurrencies. You can easily customize the grouping criteria and perform further analysis on the grouped data. It's a powerful tool for anyone interested in analyzing cryptocurrencies.
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