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Traktor 3 Le Bcd3000 Serial Numberrar
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Thus, the code in your DTT should be as follows:
import os
import time

#Open the Dataset and select the first 2 columns as Final Dataset
df = pd.read_csv(‘dtt.csv’)

#Create a new empty dataframe
df = pd.DataFrame()

#Create a function that uses Python’s map to apply a “shift” function
def filter(x, y):
#y is the number of rows to filter
rows = (y*3-1)//3+1
#x is the row we want to compare to
rows_x = x+1
#we need the difference so for example if 2 rows of data exist
#x and y will be equal to 1,2 and so the difference will be 3,6
diff = (x-y)-3
#all values that are above the threshold will be True
threshold = 30
#filter out values that are below the threshold
filtered = (diff>=threshold)
#return the rows of data that are filtered
return filtered

#Create a list of all of the datasets from the dataframe
df_list = df.drop([‘File Size’, ‘Date added’, ‘ID’], axis=1).values

#create a dictionary of all the datasets
dataset_dict = dict(df_list)

#keep looping over all of the datasets while the conditions we’ve established are true
for i in range(len(df_list)):
df_filter = df_list[i]
df_filter[0] = dataset_dict[‘File Size’]
df_filter[1] = dataset
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