# importing pandas as pd
import pandas as pd
   
# Creating row index values for dataframe
# We have taken time frequency to be of 12 hours interval
# Generating five index value using "period = 5" parameter
ind = pd.date_range('01/01/2000', periods = 5, freq ='12H')
   
# Creating a dataframe with 4 columns
# using "ind" as the index for our dataframe
df = pd.DataFrame({"A":[1, 2, 3, 4, 5], 
                   "B":[10, 20, 30, 40, 50], 
                   "C":[11, 22, 33, 44, 55],
                   "D":[12, 24, 51, 36, 2]}, index = ind)
  
# Print the dataframe
df

# shift index axis by two
# periods in positive direction
# axis = 0 is set by default
df.slice_shift(2, axis = 0)

# shift index axis by two 
# periods in negative direction
# axis = 0 is set by default
df.slice_shift(-2, axis = 0)

# importing pandas as pd
import pandas as pd
   
# Creating row index values for our data frame
# Taken time frequency to be of 12 hours interval
# Generating five index value using "period = 5" parameter
   
ind = pd.date_range('01/01/2000', periods = 5, freq ='12H')
   
# Creating a dataframe with 4 columns
# using "ind" as the index for our dataframe
df = pd.DataFrame({"A":[1, 2, 3, 4, 5],
                   "B":[10, 20, 30, 40, 50],
                   "C":[11, 22, 33, 44, 55],
                   "D":[12, 24, 51, 36, 2]}, index = ind)
  
# shift column axis by two periods in positive direction
df.slice_shift(2, axis = 1)

# shift column axis by two periods in negative direction
df.slice_shift(-2, axis = 0)