Data Analytics with python/[Data Analysis]

[Pandas][Series]S1_12_Slicing

보끔밥0130 2023. 1. 17. 20:13

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In [2]:

import pandas as pd

In [3]:

prices = pd.read_csv('/content/sample_data/prices.csv', squeeze=True); prices

Out[3]:

0          2.55
1          3.39
2          2.75
3          3.39
4          3.39
          ...  
541905     2.10
541906     4.15
541907     4.15
541908     4.95
541909    18.00
Name: Price, Length: 541910, dtype: float64

In [4]:

# Slice elements from a Pandas Series
# starting from index 0 up until and not including stop index
prices[0:5]

Out[4]:

0    2.55
1    3.39
2    2.75
3    3.39
4    3.39
Name: Price, dtype: float64

In [5]:

# index 0 up until and not including index 10
prices[:10]

Out[5]:

0    2.55
1    3.39
2    2.75
3    3.39
4    3.39
5    7.65
6    4.25
7    1.85
8    1.85
9    4.25
Name: Price, dtype: float64

In [6]:

# all elements starting from index5
prices[5:]

Out[6]:

5          7.65
6          4.25
7          1.85
8          1.85
9          4.25
          ...  
541905     2.10
541906     4.15
541907     4.15
541908     4.95
541909    18.00
Name: Price, Length: 541905, dtype: float64

In [7]:

# the last elements
prices[:-1]

Out[7]:

0         2.55
1         3.39
2         2.75
3         3.39
4         3.39
          ... 
541904    0.85
541905    2.10
541906    4.15
541907    4.15
541908    4.95
Name: Price, Length: 541909, dtype: float64

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