Answer:
Before running this program, make sure you have installed pandas module for python.
pip install pandas
import pandas as pd
import numpy as np
csv_file = input("Enter CSV File Name : ")
df = pd.read_csv(csv_file)
count_row = df.shape[0]
print("There were %d Film Permits in Total." %(count_row))
borough_count = df['Borough'].value_counts()
print(borough_count)
location_count = df['ParkingHeld'].value_counts().head(5)
print(location_count)
Explanation:
The more the image resolution would be the more storage it needs. If you think about it when a website tries to load a large image it takes longer than loading a smaller one. Hence, if you have a slow telephone line and need your images to be displayed (loaded) faster, then you have to go with the smallest resolution (the smallest storage).
In a nutshell, your answer will be d) 320x240
Note: 320 x 240 is the dimensions of the image (width x height) and those numbers are measured in pixels which is the unit of measuring images, display screens,...etc. i.e. this image is 320 pixels in width and 240 pixels in height
I believe it's color saturation.
This would be copy and paste.
When you select a text, you can use your keys CTRL and C to copy that same selected text. After this, you can use the paste feature by selecting CTRL and V. Doing this, your selected text will be copied and pasted to a certain location.
