import numpy as np
import pandas as pd
print("")

dataflair_index =pd.date_range('1/1/2000', periods=8, freq="Y")
dataflair_index
dataflair_s1 = pd.Series(np.random.randn(5), index=['a', 'b', 'c', 'd', 'e'])
dataflair_df1 = pd.DataFrame(np.random.randn(8, 3), index=dataflair_index,columns=['A', 'B', 'C'])
#dataflair_wp1 = pd.Panel(np.random.randn(2, 5, 4), items=['Item1', 'Item2'],major_axis=pd.date_range('1/1/2000', periods=5),minor_axis=['A', 'B', 'C', 'D'])
dataflair = pd.Series(np.random.randn(1000))
dataflair.head()
dataflair.tail(3)
dataflair_df1[:2]
dataflair_df1.columns = [x.lower() for x in dataflair_df1.columns]
dataflair_df1
dataflair_s1.values
dataflair_df1.values
hola = 3+612
print("HOLA "+str(hola))
7387decc17e7f94d41199a4843126a90bef3b11a
<mask token>

<mask token>
print('')
<mask token>
dataflair_index
<mask token>
dataflair.head()
dataflair.tail(3)
dataflair_df1[:2]
<mask token>
dataflair_df1
dataflair_s1.values
dataflair_df1.values
<mask token>
print('HOLA ' + str(hola))

<mask token>
print('')
dataflair_index = pd.date_range('1/1/2000', periods=8, freq='Y')
dataflair_index
dataflair_s1 = pd.Series(np.random.randn(5), index=['a', 'b', 'c', 'd', 'e'])
dataflair_df1 = pd.DataFrame(np.random.randn(8, 3), index=dataflair_index,
    columns=['A', 'B', 'C'])
dataflair = pd.Series(np.random.randn(1000))
dataflair.head()
dataflair.tail(3)
dataflair_df1[:2]
dataflair_df1.columns = [x.lower() for x in dataflair_df1.columns]
dataflair_df1
dataflair_s1.values
dataflair_df1.values
hola = 3 + 612
print('HOLA ' + str(hola))

import numpy as np
import pandas as pd
print('')
dataflair_index = pd.date_range('1/1/2000', periods=8, freq='Y')
dataflair_index
dataflair_s1 = pd.Series(np.random.randn(5), index=['a', 'b', 'c', 'd', 'e'])
dataflair_df1 = pd.DataFrame(np.random.randn(8, 3), index=dataflair_index,
    columns=['A', 'B', 'C'])
dataflair = pd.Series(np.random.randn(1000))
dataflair.head()
dataflair.tail(3)
dataflair_df1[:2]
dataflair_df1.columns = [x.lower() for x in dataflair_df1.columns]
dataflair_df1
dataflair_s1.values
dataflair_df1.values
hola = 3 + 612
print('HOLA ' + str(hola))

import numpy as np
import pandas as pd
print("")

dataflair_index =pd.date_range('1/1/2000', periods=8, freq="Y")
dataflair_index
dataflair_s1 = pd.Series(np.random.randn(5), index=['a', 'b', 'c', 'd', 'e'])
dataflair_df1 = pd.DataFrame(np.random.randn(8, 3), index=dataflair_index,columns=['A', 'B', 'C'])
#dataflair_wp1 = pd.Panel(np.random.randn(2, 5, 4), items=['Item1', 'Item2'],major_axis=pd.date_range('1/1/2000', periods=5),minor_axis=['A', 'B', 'C', 'D'])
dataflair = pd.Series(np.random.randn(1000))
dataflair.head()
dataflair.tail(3)
dataflair_df1[:2]
dataflair_df1.columns = [x.lower() for x in dataflair_df1.columns]
dataflair_df1
dataflair_s1.values
dataflair_df1.values
hola = 3+612
print("HOLA "+str(hola))