import pandas as pd
import numpy as np
# import matplotlib
# import matplotlib.pyplot as plt


# input data

df = pd.read_csv(r"/Users/marcosbrionesalvarez/Downloads/Price and Support-Resistance Data Sept 2018 - Dec 2020 (Version 2).csv")
print(df)
df = df[df['Type']=='Copper']
cols_to_drop = ['Type', 'country', 'form', 'perUnit', 'CNY',
       'INR', 'KRW', 'EUR', 'JPY', 'GBP', 'Support', 'Resistance']
df.drop(cols_to_drop, axis=1, inplace=True)
df = df.set_index('collectionTime')
print(df)

b5549a7122e00d57393f8b16cab080d4160bbeff
<mask token>

<mask token>
print(df)
<mask token>
df.drop(cols_to_drop, axis=1, inplace=True)
<mask token>
print(df)

<mask token>
df = pd.read_csv(
    '/Users/marcosbrionesalvarez/Downloads/Price and Support-Resistance Data Sept 2018 - Dec 2020 (Version 2).csv'
    )
print(df)
df = df[df['Type'] == 'Copper']
cols_to_drop = ['Type', 'country', 'form', 'perUnit', 'CNY', 'INR', 'KRW',
    'EUR', 'JPY', 'GBP', 'Support', 'Resistance']
df.drop(cols_to_drop, axis=1, inplace=True)
df = df.set_index('collectionTime')
print(df)

import pandas as pd
import numpy as np
df = pd.read_csv(
    '/Users/marcosbrionesalvarez/Downloads/Price and Support-Resistance Data Sept 2018 - Dec 2020 (Version 2).csv'
    )
print(df)
df = df[df['Type'] == 'Copper']
cols_to_drop = ['Type', 'country', 'form', 'perUnit', 'CNY', 'INR', 'KRW',
    'EUR', 'JPY', 'GBP', 'Support', 'Resistance']
df.drop(cols_to_drop, axis=1, inplace=True)
df = df.set_index('collectionTime')
print(df)

import pandas as pd
import numpy as np
# import matplotlib
# import matplotlib.pyplot as plt


# input data

df = pd.read_csv(r"/Users/marcosbrionesalvarez/Downloads/Price and Support-Resistance Data Sept 2018 - Dec 2020 (Version 2).csv")
print(df)
df = df[df['Type']=='Copper']
cols_to_drop = ['Type', 'country', 'form', 'perUnit', 'CNY',
       'INR', 'KRW', 'EUR', 'JPY', 'GBP', 'Support', 'Resistance']
df.drop(cols_to_drop, axis=1, inplace=True)
df = df.set_index('collectionTime')
print(df)
