Pandas Data Series: Create and display a one-dimensional array-like object containing an array of data
1. Creating a Series
Write a Pandas program to create and display a one-dimensional array-like object containing an array of data.
Sample Solution :
Python Code :
import pandas as pd
ds = pd.Series([2, 4, 6, 8, 10])
print(ds)
Sample Output:
0 2 1 4 2 6 3 8 4 10 dtype: int64
Explanation:
ds = pd.Series([2, 4, 6, 8, 10]): The code creates a Pandas Series object named 'ds' which contains a sequence of five integers: 2, 4, 6, 8, and 10.
print(ds): This line prints the contents of the Series object to the console.
The numbers on the left-hand side are the index of each value in the Series, which by default starts at 0 and increases by 1 for each subsequent element. The ‘dtype’ indicates the data type of the values in the Series, in this case, 64-bit integers.
For more Practice: Solve these Related Problems:
- Write a Pandas program to create a Series from a list containing different data types and then filter out elements of a specific type.
- Write a Pandas program to create a Series with a custom index from a NumPy array and then reorder the series based on the index in descending order.
- Write a Pandas program to create a Series from a dictionary with duplicate values and then remove duplicates.
- Write a Pandas program to create a Series from a range of dates and assign random numbers as values, then select a subset based on a condition on the index date.
Python-Pandas Code Editor:
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