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
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Output :
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Output :
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Period.freqstr attribute returns the string alias of the Time series frequency applied on the given Period object.
Syntax : Period.freqstr Parameters : None Return : stringExample #1: Use
Period.freqstr attribute to find the string alias of the time series frequency applied on the given Period object.
# importing pandas as pd
import pandas as pd
# Create the Period object
prd = pd.Period(freq ='D', year = 2001, month = 2, day = 21)
# Print the Period object
print(prd)
Now we will use the Period.freqstr attribute to find the string alias of the frequency applied on prd object.
# return the string alias of the frequency
prd.freqstr
As we can see in the output, the Period.freqstr attribute has returned 'D' indicating that the time series frequency applied on the given object was day.
Example #2: Use Period.freqstr attribute to find the string alias of the time series frequency applied on the given Period object.
# importing pandas as pd
import pandas as pd
# Create the Period object
prd = pd.Period(freq ='Q', year = 2006, quarter = 1)
# Print the object
print(prd)
Now we will use the Period.freqstr attribute to find the string alias of the frequency applied on prd object.
# return the string alias of the frequency
prd.freqstr
Output :
As we can see in the output, the
As we can see in the output, the Period.freqstr attribute has returned 'Q-DEC' indicating that the time series frequency applied on the given object was the end quarter of the year.