What is pandas?
Pandas is a powerful tool set for analyzing structured data; it is based on Numpy (which provides high-performance matrix operations); it is used for data mining and data analysis, as well as data cleaning capabilities.
DataFrame is a tabular data structure in Pandas, which contains a set of ordered columns, each of which can be a different value type (value, string, Boolean, etc.), DataFrame has both row index and column index, and can be regarded as a dictionary made up of Series.
It is an object similar to a one-dimensional array, consisting of a set of data (various NumPy data types) and a set of related data tags (that is, indexes). Simple Series objects can also be generated from a single set of data.
# As Easy as 1, 2, 3
# 1. Installation package $ pip install pandas # 2. Enter the interactive interface of python $ python -i # 3. Using Pandas >>> import pandas as pd >>> df = pd.DataFrame() >>> print(df) # 4. Output result Empty DataFrame Columns:  Index: 
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This site is recommended to use Python 3.x (opens new window) and above.