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 negativeReturns : shifted : same type as caller
Example #1: Use Series.slice_shift() function to shift the data of the given Series object by 2 periods.
# 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.
# 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.
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Example #2: Use Series.slice_shift() function to shift the data of the given Series object by -2 periods.
# 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.
# 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.
