how to check if there are missing values in date in python

To check if there are missing values in a date column of a pandas DataFrame, you can use the isnull() method and the sum() method.

Here's an example:

main.py
import pandas as pd

# create sample DataFrame
df = pd.DataFrame({'Date': ['2020-01-01', '2020-02-01', None, '2020-04-01', '2020-05-01', '2020-06-01']})

# check for missing values in 'Date' column
missing_values = df['Date'].isnull().sum()

print(f"Number of missing values in 'Date' column: {missing_values}")
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Output:

main.py
Number of missing values in 'Date' column: 1
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In this example, we first import the pandas library and create a sample DataFrame with a column called 'Date'. One of the entries is set to None to simulate a missing value.

We then call the isnull() method on the 'Date' column, which returns a Boolean mask indicating whether each value in the column is missing (True) or not missing (False).

Finally, we call the sum() method on the resulting Boolean mask to count the number of missing values in the column. In this case, the output is 1, since there is one missing value in the 'Date' column.