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The DataFrame.info() method in pandas is a convenient tool for getting a quick overview of a DataFrame. It provides essential details such as the index data type, column data types, non-null values, and memory usage. This method is particularly useful during the initial data analysis phase to understand the structure of the data.
How to Use DataFrame.info()
The info() method can be called on any DataFrame object to print a summary of the DataFrame. Here's a basic usage example:
import pandas as pd# Sample DataFrame creationdf = pd.DataFrame({"int_col": [1, 2, 3, 4, 5],"text_col": ['alpha', 'beta', 'gamma', 'delta', 'epsilon'],"float_col": [0.0, 0.25, 0.5, 0.75, 1.0]})# Using the info() methoddf.info()The output will display information like the class type, index range, column details including the count of non-null entries, and the data types of each column. It also shows the memory usage which can be controlled with the memory_usage parameter.
Parameters of DataFrame.info()
pandas.DataFrame.info — pandas 2.2.3 documentation
WEBpandas.DataFrame.info. #. DataFrame.info(verbose=None, buf=None, max_cols=None, memory_usage=None, show_counts=None) [source] #. Print a concise summary of a …
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python - Display all information with data.info () in Pandas - Stack ...
WEBApr 15, 2017 · 1 Answer. Sorted by: 45. You can pass optional arguments verbose=True and show_counts=True (null_counts=True deprecated since pandas 1.2.0) to the .info() …
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WEBApr 12, 2024 · This tutorial explains how to use the info () method in pandas to print a summary of a DataFrame, including several examples.
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WEBAug 22, 2023 · The .info() method in Pandas provides valuable insights about a DataFrame, including the data types of columns, non-null values, and memory usage. It’s a great first …
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