A Pandas DataFrame is a labeled two-dimensional data structure and is similar in spirit to a worksheet in Google Sheets or Microsoft Excel, or a relational database table. The columns in Pandas DataFrame can be of different types. A similar concept, by the way, was invented originally in the R programming language.A DataFrame can be created in the following ways:
- Using another DataFrame.
- Using a NumPy array or a composite of arrays that has a tow-dimensional shape.
- Likewise, we can create a DataFrame out of another Pandas data structure called Series.
- A DataFrame can also be produced from a file, such as a file, such as a CSV file.
- From a dictionary of one-dimensional structures, such as one-dimensional NumPy arrays, list, dicts, or Pandas Series.
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