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Writing to and reading a array inside another list Python


Writing to and reading a array inside another list Python

By : user2954572
Date : November 22 2020, 10:31 AM
it fixes the issue I want to define 25 different "rectangles" each with 6 different attributes. I first created a list of just 25 five different elements. Then using a different loop I attempted to append the 6 attributes of each rectangle to a list inside the list containing 1-25. This is the error I am getting and I have a feeling that it is due to the fact that I am not assigning what element "list" to assign the new 6 elements to. ,
First of all, we drawing rectangle with this way;
code :
pygame.draw.rect(screen(defined before), color(defined before), (coordinate-x,coordinate-y,size on x coord,size on y coord))
import pygame
import random
white = (255,255,255)
black = (0,0,0)
red = (255,0,0)
gameDisplay=pygame.display.set_mode((800,600)) #screen

def draw():
    x=random.randint(20,400) #x coordinate
    y=random.randint(20,400) #y coordinate
    x1=random.randint(5,50) #size of rect on x coord
    y1=random.randint(2,30) #size of rect on y coord
    pygame.draw.rect(gameDisplay, white, (x,y,x1,y1))
    pygame.display.update() #I wrote it in function so you dont have to write it again and again in main game loop
for i in range(5):
    draw() #call function
import pygame
import random
white = (255,255,255)
black = (0,0,0)
red = (255,0,0)
gameDisplay=pygame.display.set_mode((800,600))

def draw():
    colorlist=[(255,0,0),(255,255,255)]
    color=random.choice(colorlist)
    x=random.randint(10,590)
    y=random.randint(10,590)
    x1=random.randint(5,50)
    y1=random.randint(2,30)
    pygame.draw.rect(gameDisplay, color, (x,y,x1,y1)) #<--- color parameter 
    pygame.display.update()
for i in range(25):
    draw()
color1=random.randint(0,255)
color2=random.randint(0,255)
color3=random.randint(0,255)
color=(color1,color2,color3)
import pygame
import random

white = (255,255,255)
black = (0,0,0)
red = (255,0,0)
gameDisplay=pygame.display.set_mode((800,600))

def draw():
    color1=random.randint(0,255)
    color2=random.randint(0,255)
    color3=random.randint(0,255)
    color=(color1,color2,color3)
    x=random.randint(10,590)
    y=random.randint(10,590)
    x1=random.randint(10,100)
    y1=random.randint(2,30)
    pygame.draw.rect(gameDisplay, color, (x,y,x1,y1))
    pygame.display.update()
done=False
while done==False:
    for event in pygame.event.get(): 
        if event.type == pygame.QUIT: 
            done = True

    for i in range(25):
        draw()
        if i==24:
            done=True
white = (255,255,255)
black = (0,0,0)
red = (255,0,0)
gameDisplay=pygame.display.set_mode((800,600))
thebiglist=[] #the list that will save attiributes
def draw():
    color1=random.randint(0,255)
    color2=random.randint(0,255)
    color3=random.randint(0,255)
    color=(color1,color2,color3)
    x=random.randint(10,590)
    y=random.randint(10,590)
    x1=random.randint(10,100)
    y1=random.randint(2,30)
    pygame.draw.rect(gameDisplay, color, (x,y,x1,y1))
    thebiglist.append((x,y,x1,y1)) #appending them in a tuple
    pygame.display.update()
done=False
while done==False:
    for event in pygame.event.get(): 
        if event.type == pygame.QUIT: 
            done = True

    for i in range(25):
        draw()
        if i==24:
            done=True
print (thebiglist)


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Reading/writing a list of nested dictionaries to/from a CSV file (Python)

Reading/writing a list of nested dictionaries to/from a CSV file (Python)


By : Cpouwels
Date : March 29 2020, 07:55 AM
With these it helps I don't think that it would be possible to use csv module, due to all the idiosyncrasies in your requirements and the structure, but you could do it quite easily writing it manually:
code :
>>> with open('test.txt', 'w') as f:
    f.write(','.join(['key', 'calc1', 'calc2']) + '\n')
    f.writelines('{},{},{}'.format(k, *v.values()) + '\n' for l in data for k,v in l.items())
Python: Reading csv file and writing it to list-(error)-[need suggestion]

Python: Reading csv file and writing it to list-(error)-[need suggestion]


By : user2447850
Date : March 29 2020, 07:55 AM
wish of those help Try extend instead of append. That will add the various lists to the end of your list, rather than as sub-lists within it.
Literally:
code :
... 
list2.extend(row) 
...
Reading/Writing files in Python and using Dictionary for WordCount list

Reading/Writing files in Python and using Dictionary for WordCount list


By : user3476040
Date : March 29 2020, 07:55 AM
may help you . Are you certain you want to be writing to a file called alice.txt, when that is also the name of your input file?
Check your input file (Desktop/alice.txt) to make sure you didn't accidentally overwrite it! Use a different name, e.g. output.txt for your output file.
Writing and reading a list from a file in Python

Writing and reading a list from a file in Python


By : Chaisiri Thip-ut
Date : March 29 2020, 07:55 AM
like below fixes the issue You could do it also with pickle, it works similarly to json, but it can serialize a broader set of Python objects than json. Json serializes text, and is human readable, while pickle serializes bytes, not human readable.
Consider this example:
code :
import pickle, json

list_ = [42,54,24,65]

with open('list_file.pickle', 'wb') as fp, open('list_file.json', 'w') as fj:
    pickle.dump(list_, fp)
    json.dump(list_, fj)

with open('list_file.pickle', 'rb') as fp, open('list_file.json', 'r') as fj:
    list_unpickled = pickle.load(fp)
    list_from_json = json.load(fj)

print(list_unpickled) #[42, 54, 24, 65]
print(list_from_json) #[42, 54, 24, 65]
Reading csv to array, performing linear regression on array and writing to csv in Python depending on gradient

Reading csv to array, performing linear regression on array and writing to csv in Python depending on gradient


By : wl.eo
Date : March 29 2020, 07:55 AM
it fixes the issue I think you should be able to do this in a fairly simple script using glob to iterate through your files, and pandas to read in your data. Here is a basic outline of how I would structure it
code :
import glob
import pandas as pd
for file in glob.glob('data/*'):
    df = pd.read_csv(file)
    for date, group in df.groupby(['year','month','day']:
        morning_data = group[group.HH24.between('09','12')]
        # calculate your linear regression here
        gradient, intercept = np.polyfit(morning_data.HH24,morning_data['wind speed'], 1)
        if gradient > 0 :
            print(gradient + "," + wind_direction + "," + gradient)
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