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Pandas: 'DatetimeProperties' object has no attribute 'isocalendar'

Learn, why 'DatetimeProperties' object has no attribute 'isocalendar' is errored , and how to fix it?
Submitted by Pranit Sharma, on July 26, 2022

Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consist of rows, columns, and data.

Sometimes we need to convert the date into the week number or to draw some useful insights from the date (Which can be obtained with the help of the datetime library), we fetch the week number for a better understanding of data.

To achieve this task, we use isocalender.week() method which is freshly adopted by pandas.

Since this method is freshly adopted, sometimes users may get an attribute error like: AttributeError: 'DatetimeProperties' object has no attribute 'isocalendar'

This is because some users do not use the latest version of pandas. For this purpose, we need to access the latest version of pandas or at least a version that is above 1.1.0.

If some user is unable to get the latest version, he/she may use dt.week() method of Datetime. If the user is having the latest version but still uses dt.week() method, he/she will observe a message from the compiler that this method is deprecated.

Example:

The work of both methods is the same, but the difference is one method is old and deprecated and another is freshly adopted in pandas.

Let us understand with the help of an example,

Python code to demonstrate the 'DatetimeProperties' object has no attribute 'isocalendar' error

# Importing pandas package
import pandas as pd

# Creating a Dictionary
d = {
    'col1':[12,24,36,48,60],
    'col2':[13,26,39,52,65],
    'Date':['2015-06-12','2015-08-02','2011-04-11','2014-09-23','2012-05-30']
}

# Creating a DataFrame
df = pd.DataFrame(d)

# Display original DataFrame
print("Original DataFrame:\n",df,"\n")

# Converting values of Data column in datetime
df['Date'] = pd.to_datetime(df['Date'])

# Getting week value
df['Week'] = df['Date'].dt.week

# Display result
print("Modified DataFrame:\n",df)

Output:

Python code to fix the 'DatetimeProperties' object has no attribute 'isocalendar' error

# Importing pandas package
import pandas as pd

# Creating a Dictionary
d = {
    'col1':[12,24,36,48,60],
    'col2':[13,26,39,52,65],
    'Date':['2015-06-12','2015-08-02','2011-04-11','2014-09-23','2012-05-30']
}

# Creating a DataFrame
df = pd.DataFrame(d)

# Display original DataFrame
print("Original DataFrame:\n",df,"\n")

# Converting values of Data column in datetime
df['Date'] = pd.to_datetime(df['Date'])

# Getting week value
df['Week'] = df['Date'].dt.isocalendar().week

# Display result
print("Modified DataFrame:\n",df)

Output:

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