Use the DataFrame.empty property to check if DataFrame contains the data or not (empty or not). The DataFrame.empty attribute returns a boolean value indicating whether this DataFrame is empty or not.If the DataFrame is empty, it will return True. and it will return False If the DataFrame is not empty.Example ... Read More

The ndim is an attribute in the pandas DataFrame which is used to get the integer/number representation of dimensions of the given DataFrame object.As we know, the pandas DataFrame is a two-dimensional data structure that is used to store the data in a tabular format. Regardless of the number of ... Read More

The ndim is an attribute in the pandas series which is used to get the integer representation of dimensions of a series object.As we know, the pandas series is a 1-dimensional data structure so the output for this ndim property is always 1. It doesn’t take any input to get ... Read More

The loc is an attribute in the pandas DataFrame constructor that is used to access the elements of the DataFrame based on row/column label indexing.The attribute .loc takes the labels of the DataFrame row and column to access the group of elements.The “.loc” attribute allows inputs like an integer value, ... Read More

The “.loc” is an attribute of the pandas.DataFrame. it is used to access elements from DataFrame based on row/column label indexing. And It works similar to pandas.DataFrame “at” attribute but the difference is, the “at” attribute is used to access only a single element whereas the “loc” attribute can access ... Read More

The DataFrame is a pandas two-dimension data structure that is used to store the labeled data in a table format, a DataFrame has row index labels and column index labels which are used to represent the element (a value) address.By using these row/column labels we can access elements of a ... Read More

A DataFrame is a pandas data structure that is used to store the labeled data in a two-dimension, the labels can be anything like text data, integer values, and time sequence. by using these labels we can access elements of a given DataFrame and we can do data manipulations too.In ... Read More

The pandas DataFrame.iloc is an attribute that is used to access the elements of the DataFrame using integer-location-based index values.The attribute .iloc only takes the integer values which are specifying the row and column index positions. Generally, the position-based index values are represented from 0 to length-1.Beyond this range only ... Read More

The pandas.DataFrame.iloc attribute is used to access elements from a pandas DataFrame using the integer position. And It is very similar to the pandas.DataFrame “iat” attribute but the difference is, the “iloc” attribute can access a group of elements whereas the “iat” attribute accesses only a single element.The “.iloc” attribute ... Read More

The pandas.DataFrame.iat attribute is used to access a single value of the DataFrame using the row/column integer positions and It is very similar to the iloc in pandas instead of accessing a group of elements here we will access a single element.The “iat” attribute takes the integer index values of ... Read More