Apply boolean mask with datetime to extract specific month with a Pandas dataframe
Question:
I have a dataframe with a column ["DATE"].
I converted the column as a datetime object with :
df["DATE"] = pd.to_datetime(df["DATE"])
Now I want to extract only june month with a boolean mask, but I have an error :
df["DATE"].loc[ df["DATE"] == (datetime.strftime(df["DATE"], "%m") == "06") ]
The error :
descriptor 'strftime' requires a 'datetime.date' object but received a 'Series'
Do you have any idea ? Is the boolean mask syntax wrong or am I missing something ?
I’ve looked this similar question in Stackoverflow but it does not help me because it’s not about boolean mask but multiple steps.
Answers:
Use Series.dt.month:
df["DATE"] = pd.to_datetime(df["DATE"])
df[df["DATE"].dt.month == 6]
Your solution working with Series.dt.strftime:
df["DATE"] = pd.to_datetime(df["DATE"])
df[df["DATE"].dt.strftime('%m') == '06']
I have a dataframe with a column ["DATE"].
I converted the column as a datetime object with :
df["DATE"] = pd.to_datetime(df["DATE"])
Now I want to extract only june month with a boolean mask, but I have an error :
df["DATE"].loc[ df["DATE"] == (datetime.strftime(df["DATE"], "%m") == "06") ]
The error :
descriptor 'strftime' requires a 'datetime.date' object but received a 'Series'
Do you have any idea ? Is the boolean mask syntax wrong or am I missing something ?
I’ve looked this similar question in Stackoverflow but it does not help me because it’s not about boolean mask but multiple steps.
Use Series.dt.month:
df["DATE"] = pd.to_datetime(df["DATE"])
df[df["DATE"].dt.month == 6]
Your solution working with Series.dt.strftime:
df["DATE"] = pd.to_datetime(df["DATE"])
df[df["DATE"].dt.strftime('%m') == '06']