What is the numpy.compress() Method

The numpy.compress() function selectively returns elements of an array based on a given condition. It takes a boolean array or a 1-D array-like object (e.g., a list or tuple) as a condition and an input array as arguments. Syntax numpy.compress (condition, input_array, axis = None, out = None) Parameters condition: It depicts the condition based … Read more

What is the numpy empty_like() Method

The numpy.empty_like() function creates a new array with the same shape and type as the given array. The shape and data type of the prototype defines these same attributes of the returned array. Overrides the data type of the result. It overrides the memory layout of the result. Syntax numpy.empty_like(shape, order, dtype, subok) Parameters It … Read more

What is the numpy.put() Function in Python

The numpy.put() is a function that replaces specified elements of an array with given values. The indices of the elements to replace are provided in the form of a list or array, and the corresponding values to replace them with are also provided in a list or array. Syntax numpy.put(array, indices, values, mode) Parameters The … Read more

What is the numpy.asmatrix() Method

The numpy.asmatrix() function “interprets the input as a matrix”. If the input is already a matrix or a ndarray of 2 dimensions, it returns the input as is. If the input is a different data type, such as a list or a tuple, it converts it into a matrix. Syntax numpy.asmatrix(data, dtype=None) Parameters data: (array_like) … Read more

Pandas.DataFrame.filter() Function in Python

Pandas.Dataframe.filter() is a built-in function used to subset columns or rows of DataFrame according to labels in the particular index. It returns a subset of the DataFrame rows or columns according to the detailed index labels. Then, the filter() function is applied to the index labels. Syntax DataFrame.filter(self: ~FrameOrSeries, items=None, like: Union[str, NoneType] = None, … Read more

Pandas DataFrame assign() Method

The assign() method in Pandas creates new columns in a DataFrame or modifies existing ones while returning a new DataFrame without altering the original. This makes it a convenient function for performing operations on data without affecting the source data. Syntax DataFrame.assign(**kwargs) Parameters **kwargs: dict of {str: callable or Series} The column names are keywords. If … Read more

Pandas DataFrame dropna() Method

Pandas DataFrame dropna() function removes rows and columns with Null/None/NA values from DataFrame. It returns the new DataFrame, and the source DataFrame remains unchanged. Syntax DataFrame.dropna(self, axis=0, how=’any’, thresh=None, subset=None, inplace=False) axis: The possible values are {0 or ‘index’, 1 or ‘columns’}, and the default value is 0. If 0, drop rows with null values. … Read more

How to Rename Column Names in Pandas DataFrame

To rename column names in Pandas DataFrame, you can use the “rename()” method or “assign new column names” directly. Method 1: Using the rename() function The “pandas.DataFrame.rename()” method allows you to rename columns by providing a dictionary with the current column names as keys and the new column names as values. Example import pandas as … Read more

Pandas DataFrame iloc Property

The iloc property in Pandas DataFrame is used for integer-based indexing for selection by position. It is primarily integer position based (from 0 to length-1 of the axis) but may also be used with a boolean array. The iloc property works similarly to standard list slicing in Python, but it is extended for DataFrames by … Read more

Pandas.pivot_table() Function

Pandas pivot_table() function can help reshape and summarize data. It enables you to create a new DataFrame by aggregating the values of an existing DataFrame based on specified row and column indices. Syntax pandas.pivot_table(data, values=None, index=None, columns=None, aggfunc=’mean’, fill_value=None, margins=False, dropna=True, margins_name=’All’, observed=False) Parameters data It is the DataFrame. values column to aggregate, optional index … Read more

What is the numpy.delete() Method

The numpy.delete() function removes elements along a specified axis from an array. The function returns a new array with the selected elements removed and does not modify the original array. Syntax numpy.delete(array, object, axis = None) Parameters The np.delete() function takes three parameters: array: This is the input array. object: This can be any single … Read more