import pandas as pd
a = [1, 7, 2]
myvar = pd.Series(a)
print(myvar)
0 1
1 7
2 2
dtype: int64
Pandas Series in the column of the table. It means one dimension array that store any type of data.
print(myvar[0])
If there is no more to determine, value will be labeled with its index number. First value will have index 0, second value will have index 1, etc. This label also can be used to access certain value.
import pandas as pd
a = [1, 7, 2]
myvar = pd.Series(a, index = ["x", "y", "z"])
print(myvar)
x 1
y 7
z 2
dtype: int64
With index argument, we can give name to our label.
import pandas as pd
calories = {"day1" : 420, "day2": 380, "day3": 390}
myvar = pd.Series(calories)
print(myvar)
day1 420
day2 380
day3 390
dtype: int64
We also can use key object/value such as dictionary when create series.
import pandas as pd
a = [1, 7, 2]
myvar = pd.Series(a)
print(myvar)
0 1
1 7
2 2
dtype: int64