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Python Articles
Page 829 of 855
How to create file of particular size in Python?
To create a file of a particular size, just seek to the byte number(size) you want to create the file of and write a byte there.For examplewith open('my_file', 'wb') as f: f.seek(1024 * 1024 * 1024) # One GB f.write('0')This creates a sparse file by not actually taking up all that space. To create a full file, you should write the whole file:with open('my_file', 'wb') as f: num_chars = 1024 * 1024 * 1024 f.write('0' * num_chars)
Read MoreHow can I do "cd" in Python?
You can change directory or cd in Python using the os module. It takes as input the relative/absolute path of the directory you want to switch to.For example>>> import os >>> os.chdir('my_folder')
Read MoreWhat are common practices for modifying Python modules?
If you are modifying a module and want to test it in the interpreter without having to restart the shell everytime you save that module, you can use the reload(moduleName) function. reload(moduleName) reloads a previously loaded module (assuming you loaded it with the syntax "import moduleName". It is intended for conversational use, where you have edited the source file for a module and want to test it without leaving Python and starting it again.For example>>> import mymodule >>> # Edited mymodule and want to reload it in this script >>> reload(mymodule)Note that the moduleName is the actual name of the ...
Read MoreHow do I disable log messages from the Requests Python module?
You can disable logging from the requests module using the logging module.ExampleYou can configure it to not log messages unless they are at least warnings using the following code:import logging logging.getLogger("requests").setLevel(logging.WARNING)If you want to go a level higher and only want to log messages when they are errors or critical, you can do replace logging.WARNING with logging.ERROR and logging.CRITICAL respectively.
Read MoreHow to extract subset of key-value pairs from Python dictionary object?
Use dictionary comprehension technique.We have dictionary object having name and percentage of students>>> marks = { 'Ravi': 45.23, 'Amar': 62.78, 'Ishan': 20.55, 'Hema': 67.20, 'Balu': 90.75 }To obtain dictionary of name and marks of students with percentage>50>>> passed = { key:value for key, value in marks.items() if value > 50 } >>> passed {'Amar': 62.78, 'Hema': 67.2, 'Balu': 90.75}To obtain subset of given names>>> names = { 'Amar', 'Hema', 'Balu' } >>> lst = { key:value for key,value in marks.items() if key in names} >>> lst {'Amar': 62.78, 'Hema': 67.2, 'Balu': 90.75}
Read MoreFind the version of the Pandas and its dependencies in Python
Pandas is the important package for data analysis in Python. There are different versions available for Pandas. Due to some version mismatch, it may create some problems. So we need to find the version numbers of the Pandas. We can see them easily using the following code.We can use the command like below, to get the version −pandas.__version__Example>>> import pandas as pd >>> print(pd.__version__) 0.25.2 >>>We can also get the version of the dependencies using the function like below −pandas.show_versions() >>> pd.show_versions() INSTALLED VERSIONS ------------------ commit : None python : 3.7.1.final.0 python-bits : 64 OS : Windows OS-release : 7 ...
Read MoreApply function to every row in a Pandas DataFrame in Python
In this tutorial, we are going to learn about the most common methods of a list i.e.., append() and extend(). Let's see them one by one.apply()It is used to apply a function to every row of a DataFrame. For example, if we want to multiply all the numbers from each and add it as a new column, then apply() method is beneficial. Let's see different ways to achieve it.Example# importing the pandas package import pandas as pd # function to multiply def multiply(x, y): return x * y # creating a dictionary for DataFrame data = { 'Maths': ...
Read MoreApply uppercase to a column in Pandas dataframe in Python
In this tutorial, we are going to see how to make a column of names to uppercase in DataFrame. Let's see different ways to achieve our goal.ExampleWe can assign a column to the DataFrame by making it uppercase using the upper() method.Let's see the code.# importing the pandas package import pandas as pd # data for DataFrame data = { 'Name': ['Hafeez', 'Aslan', 'Kareem'], 'Age': [19, 21, 18], 'Profession': ['Developer', 'Engineer', 'Artist'] } # creating DataFrame data_frame = pd.DataFrame(data) # displaying the DataFrame print('---------------------Before-------------------') print(data_frame) print() # making the Name column strings to upper case data_frame['Name'] = ...
Read MoreArithmetic Operations on Images using OpenCV in Python
In this tutorial, we are going to learn about the arithmetic operations on Images using OpenCV. We can apply operations like addition, subtraction, Bitwise Operations, etc.., Let's see how we can perform operations on images.We need the OpenCV module to perform operations on images. Install the OpenCV module using the following command in the terminal or command line.pip install opencv-python==4.1.1.26If you run the above command, you will get the following successful message.Collecting opencv-python==4.1.1.26 Downloading https://files.pythonhosted.org/packages/1f/51/e0b9cef23098bc31c77b0e0 6221dd8d05119b9782d4c2b1d1482e22b5f5e/opencv_python-4.1.1.26-cp37-cp37m-win_amd64.w hl (39.0MB) Requirement already satisfied: numpy>=1.14.5 in c:\users\hafeezulkareem\anaconda3\l ib\site-packages (from opencv-python==4.1.1.26) (1.16.2) Installing collected packages: opencv-python Successfully installed opencv-python-4.1.1.26AdditionWe can add two images using ...
Read Moreas_integer_ratio() in Python for reduced fraction of a given rational
In this tutorial, we are going to write a program that returns two numbers whose ratio is equal to the given float value. We have a method called as_integer_ratio() that helps to achieve our goal.Let's see some examples.Input: 1.5 Output: 3 / 2 Input: 5.3 Output: 5967269506265907 / 1125899906842624Let's examine the code.Example# initializing the float value float_value = 1.5 # getting integers tuple using the as_integer_ratio() method integers = float_value.as_integer_ratio() # printing the integers print(f'{integers[0]} / {integers[1]}')OutputIf you run the above code, you will get the following results.3 / 2 Let's see another example.Example# initializing the float value float_value = ...
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