16 lines
416 B
Python
16 lines
416 B
Python
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import pandas as pd
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import numpy as np
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import math
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df = pd.read_csv("imdb_top_1000.csv")
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new_gross = []
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old_gross = df['Gross'].tolist()
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old_gross = [str(x) for x in old_gross]
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old_gross = ['0' if x=='nan' else x for x in old_gross]
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old_gross = [x.replace(",", "") for x in old_gross]
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for gross in old_gross:
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new_gross.append(int(gross))
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df.drop(columns=['Gross'])
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df['Gross'] = new_gross
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df.to_csv('imdb.csv')
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