Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas
Python3
Output :
Now we want to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex
Python3
Output :
As we can see in the output, the returned the difference between the index values and index converted to periodIndex.
Example #2: Use
Python3
Output :
Now we want to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex
Python3
DatetimeIndex.to_perioddelta() function calculate TimedeltaIndex of difference between index values and index converted to periodIndex at specified frequency. It is used for vectorized offsets.
Syntax: DatetimeIndex.to_perioddelta(freq) Parameters : freq : One of pandas’ offset strings or an Offset object. Will be inferred by default Return : TimedeltaIndexExample #1: Use
DatetimeIndex.to_perioddelta() function to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex at specified frequency
# importing pandas as pd
import pandas as pd
# Create the DatetimeIndex
# Here 'S' represents secondly frequency
didx = pd.DatetimeIndex(start ='2018-11-15 09:45:10', freq ='S', periods = 5)
# Print the DatetimeIndex
print(didx)
Now we want to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex
# calculate the TimedeltaIndex
# 'T' represents minute based frequency
didx.to_perioddelta('T')
As we can see in the output, the returned the difference between the index values and index converted to periodIndex.
Example #2: Use DatetimeIndex.to_perioddelta() function to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex at specified frequency.
# importing pandas as pd
import pandas as pd
# Create the DatetimeIndex
# Here 'T' represents minutely frequency
didx = pd.DatetimeIndex(start ='2015-03-02 01:15:12', freq ='T', periods = 5)
# Print the DatetimeIndex
print(didx)
Now we want to calculate the TimedeltaIndex of difference between index values and index converted to periodIndex
# calculate the TimedeltaIndex
# 'H' represents hourly frequency
didx.to_period('H')
Output :
As we can see in the output, the returned the difference between the index values and index converted to periodIndex.
As we can see in the output, the returned the difference between the index values and index converted to periodIndex.