import pandas as pd
import random
df = pd.read_csv('\podatki/MOCK_DATA.csv')

sez = list(range(1,1001))
random.shuffle(sez) #nakljucno premesa seznam

n = df.columns[0]

# Drop that column
df.drop(n, axis = 1, inplace = False)

# Put whatever series you want in its place
df[n] = sez

df.to_csv (r'\podatki\izlet.csv', index = False, header=True)
efe5592736a7f9d37f729e183e2f0090bd3c90b1
<mask token>

<mask token>
random.shuffle(sez)
<mask token>
df.drop(n, axis=1, inplace=False)
<mask token>
df.to_csv('\\podatki\\izlet.csv', index=False, header=True)

<mask token>
df = pd.read_csv('\\podatki/MOCK_DATA.csv')
sez = list(range(1, 1001))
random.shuffle(sez)
n = df.columns[0]
df.drop(n, axis=1, inplace=False)
df[n] = sez
df.to_csv('\\podatki\\izlet.csv', index=False, header=True)

import pandas as pd
import random
df = pd.read_csv('\\podatki/MOCK_DATA.csv')
sez = list(range(1, 1001))
random.shuffle(sez)
n = df.columns[0]
df.drop(n, axis=1, inplace=False)
df[n] = sez
df.to_csv('\\podatki\\izlet.csv', index=False, header=True)

import pandas as pd
import random
df = pd.read_csv('\podatki/MOCK_DATA.csv')

sez = list(range(1,1001))
random.shuffle(sez) #nakljucno premesa seznam

n = df.columns[0]

# Drop that column
df.drop(n, axis = 1, inplace = False)

# Put whatever series you want in its place
df[n] = sez

df.to_csv (r'\podatki\izlet.csv', index = False, header=True)