import numpy  as np 
import pandas as pd


arr = np.array([1,2,3,4,5,6,7,8,9])

series = pd.Series(arr)

# print(series)

dict1 = {"a":1, "b": 2, "c": 3}

series1 = pd.Series(dict1)

# print(series1)
# print(series1[2:4])

list1 = [1,2,3,4,5,6]
list2 = [{"a": 1, "b": 2}, {"a":23, "b": 21}, {"a": 73, "b": 32}]

table2 = pd.DataFrame(list2, index = ["fila1", "fila2", "fila3"])


# print(table)
print(table2)
d28c1b6b950c5a9cc7b4109dcbe1efc28b24f81a
<mask token>

<mask token>
print(table2)

<mask token>
arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
series = pd.Series(arr)
dict1 = {'a': 1, 'b': 2, 'c': 3}
series1 = pd.Series(dict1)
list1 = [1, 2, 3, 4, 5, 6]
list2 = [{'a': 1, 'b': 2}, {'a': 23, 'b': 21}, {'a': 73, 'b': 32}]
table2 = pd.DataFrame(list2, index=['fila1', 'fila2', 'fila3'])
print(table2)

import numpy as np
import pandas as pd
arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
series = pd.Series(arr)
dict1 = {'a': 1, 'b': 2, 'c': 3}
series1 = pd.Series(dict1)
list1 = [1, 2, 3, 4, 5, 6]
list2 = [{'a': 1, 'b': 2}, {'a': 23, 'b': 21}, {'a': 73, 'b': 32}]
table2 = pd.DataFrame(list2, index=['fila1', 'fila2', 'fila3'])
print(table2)

import numpy  as np 
import pandas as pd


arr = np.array([1,2,3,4,5,6,7,8,9])

series = pd.Series(arr)

# print(series)

dict1 = {"a":1, "b": 2, "c": 3}

series1 = pd.Series(dict1)

# print(series1)
# print(series1[2:4])

list1 = [1,2,3,4,5,6]
list2 = [{"a": 1, "b": 2}, {"a":23, "b": 21}, {"a": 73, "b": 32}]

table2 = pd.DataFrame(list2, index = ["fila1", "fila2", "fila3"])


# print(table)
print(table2)