file = Root()
path = file.fileDialog()
print("PATH = ", path)
Here is what the above code is Doing:
1. We create a new instance of the Root class.
2. We call the fileDialog method on the instance.
3. We print the path to the file that was selected.
var = 0 while True: import time var = (var + 1) print(var) time.sleep (1) Here is what the above code is Doing: 1. It’s creating a variable called var and setting it to 0. 2. It’s creating an infinite loop. 3. It’s adding 1 to var. 4. It’s printing var. 5. It’s sleeping for…
import boto3 session = boto3.session.Session() s3 = session.client( service_name=’s3′, endpoint_url=’http://localhost:4566′, ) bucket_name = “mybucket” s3.upload_fileobj(uploadedFile, bucket_name, file_name) Here is what the above code is Doing: 1. Create a session object. 2. Create a client object. 3. Upload the file to the bucket.
from matplotlib import pyplot as plt from matplotlib.patches import Rectangle someX, someY = 0.5, 0.5 plt.figure() currentAxis = plt.gca() currentAxis.add_patch(Rectangle((someX – .1, someY – .1), 0.2, 0.2,alpha=1)) plt.show() Here is what the above code is Doing: 1. Create a figure 2. Get the current axis 3. Add a rectangle patch to the axis 4. Show…
thread.interrupt_main() Here is what the above code is Doing: 1. It’s creating a thread that will run the function run_forever(). 2. It’s starting the thread. 3. It’s waiting for the thread to complete. 4. It’s interrupting the main thread. The output of the above code is: Thread started Thread interrupted Main thread interrupted As you…
”’ USE len() TO COUNT THE ITEMS IN A JSON OBJECT Call len(obj) to return the number of items in a JSON object obj. ”’ print(a_json_object) ”’OUTPUT: ”’ ”'{‘first_key’: [1, 2, 3], ‘second_key’: ‘second_value’} ”’ length = len(a_json_object) print(length) ”’OUTPUT: ”’ ”’2 ”’ Here is what the above code is Doing: 1. We create a…
You can sort the dataFrame by count and then remove duplicates. I think it’s easier: df.sort_values(‘count’, ascending=False).drop_duplicates([‘Sp’,’Mt’]) Here is what the above code is Doing: 1. Sort the dataFrame by count in descending order. 2. Drop duplicates based on the columns Sp and Mt.