What is dataframe.info() Function in Pandas ?

Pandas dataframe.info() Syntax

Syntax: DataFrame.info(verbose=None, buf=None, max_cols=None, memory_usage=None, null_counts=None) Parameters:  verbose : Whether to print the full summary. None follows the display.max_info_columns setting. True or False overrides the display.max_info_columns setting.  buf : writable buffer, defaults to sys.stdout  max_cols : Determines whether full summary or short summary is printed. None follows the display.max_info_columns setting.  memory_usage : Specifies whether total memory usage of the DataFrame elements (including index) should be displayed. None follows the display.memory_usage setting. True or False overrides the display.memory_usage setting. A value of ‘deep’ is equivalent of True, with deep introspection. Memory usage is shown in human-readable units (base-2 representation). null_counts : Whether to show the non-null counts. If None, then only show if the frame is smaller than max_info_rows and max_info_columns. If True, always show counts. If False, never show counts....

What is dataframe.info() Function in Pandas ?

The `DataFrame.info()` function in Pandas is a method used to obtain a concise summary of a DataFrame’s structure and information. When called on a Pandas DataFrame, it provides essential details such as the total number of non-null values, data types of each column, and memory usage. This summary is beneficial for quickly assessing the completeness of the dataset, identifying potential missing values, and understanding the overall data types present in the DataFrame....

Pandas dataframe.info() Examples

There are some examples of dataframe.info() examples those shown the advantages uses of the dataframe.info() function. those are following....