Python | Pandas Series.slice_shift()

Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.slice_shift() function is equivalent to shift without copying data. The shifted data will not include the dropped periods and the shifted axis will be smaller than the original.

Syntax: Series.slice_shift(periods=1, axis=0) Parameter : periods : Number of periods to move, can be positive or negative Returns : shifted : same type as caller

Example #1: Use Series.slice_shift() function to shift the data of the given Series object by 2 periods. Python3

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon', 'Rio', 'Moscow'])

# Create the Datetime Index
didx = pd.DatetimeIndex(start ='2014-08-01 10:00', freq ='W', 
                     periods = 6, tz = 'Europe/Berlin') 

# set the index
sr.index = didx

# Print the series
print(sr)

Output : Now we will use Series.slice_shift() function to shift the data in the given series object by 2 periods. Python3 1==

# shift by 2 periods
sr.slice_shift(periods = 2)

Output : As we can see in the output, the Series.slice_shift() function has successfully shifted the data over the index. Notice the first two index labels are dropped.   Example #2: Use Series.slice_shift() function to shift the data of the given Series object by -2 periods. Python3

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon', 'Rio', 'Moscow'])

# Create the Datetime Index
didx = pd.DatetimeIndex(start ='2014-08-01 10:00', freq ='W', 
                     periods = 6, tz = 'Europe/Berlin') 

# set the index
sr.index = didx

# Print the series
print(sr)

Output : Now we will use Series.slice_shift() function to shift the data in the given series object by -2 periods. Python3 1==

# shift by -2 periods
sr.slice_shift(periods = -2)

Output : As we can see in the output, the Series.slice_shift() function has successfully shifted the data over the index. Notice the last two index labels are dropped and the data has been shifted upward.