Tag: by
Python : How to find an element in Tuple by value
In this article we will discuss different ways to check if an element exists in tuple or not. If yes then also find its index and occurrence count. Find an element in tuple by value using ‘in’ & ‘not in’ Python provides operator in and not in to check if an element exists in tuple. …
Python Pandas : How to drop rows in DataFrame by index labels
In this article we will discuss how to delete single or multiple rows from a DataFrame object. DataFrame provides a member function drop() i.e. Advertisements DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors=’raise’) It accepts a single or list of label names and deletes the corresponding rows or columns (based on value of axis parameter i.e. …
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Python Pandas : How to Drop rows in DataFrame by conditions on column values
In this article we will discuss how to delete rows based in DataFrame by checking multiple conditions on column values. DataFrame provides a member function drop() i.e. Advertisements DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors=’raise’) It accepts a single or list of label names and deletes the corresponding rows or columns (based on value of axis …
Python Pandas : How to Drop rows in DataFrame by conditions on column valuesRead More
Python Pandas : Drop columns in DataFrame by label Names or by Index Positions
In this article we will discuss how to drop columns from a DataFrame object. DataFrame provides a member function drop() i.e. Advertisements DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors=’raise’) It accepts a single Label Name or list of Labels and deletes the corresponding columns or rows (based on axis) with that label. It considers the …
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Read a file line by line in Python (5 Ways)
In this article we will discuss different ways to read a file line by line in Python. Suppose we have a file data.txt in same directory as our python script. Let’s see how to read it’s contents line by line. Solution for Small Files : Get list of all lines in file using readlines() First …
Python : How to remove files by matching pattern | wildcards | certain extensions only ?
In this article we will discuss how to delete few files from a directory based on matching pattern or wildcard. Suppose we have a directory that contains some log files and some text files and we want to delete all .txt files from that directory i.e. files that ends with string “.txt”. Let’s discuss how …
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Python : Get List of all running processes and sort by highest memory usage
In this article we will discuss a cross platform way to get a list of all running processes in system and then sort them by memory usage. Python provides a cross platform library psutil to fetch sunning system details like process and system details. Advertisements How to install psutil python library To install psutil using …
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Python : Check if a process is running by name and find it’s Process ID (PID)
In this article we will discuss a cross platform way to find a running process PIDs by name using psutil. To install python’s psutil library use, Advertisements pip install psutil Check if a process is running To check if process is running or not, let’s iterate over all the running process using psutil.process_iter() and match …
Python : Check if a process is running by name and find it’s Process ID (PID)Read More
Select Subarray By Index from NumPy Array
In this article we will discuss how to select an element or a sub array from a Numpy Array by index. Let’s create a Numpy Array using numpy.arange() Advertisements # Create a numpy ndArray npArray = np.arange(1, 20, 2) print(npArray) Contents of the Numpy Array is as follows, [ 1 3 5 7 9 11 …
NumPy – Select Elements By Condition
In this article we will discuss how to select elements or indices from a Numpy array based on multiple conditions. Similar to arithmetic operations when we apply any comparison operator to Numpy Array, then it will be applied to each element in the array and a new bool Numpy Array will be created with values …