Calculate mean/median of values in a column based on dates of another column using Python
Question:
I have a dataframe consisting of temperature values on one column, and the corresponding dates on another column.
The dataframe has a time period of 7 days, with measurements taken every minute, the problem is that I don’t know how to calculate the mean/median of the temperature and see the output per day.
Any thoughts?
Answers:
Firstly, make sure that the ‘Timestamp_0’ colum is in datetime format. df.Timestamp_0 = pd.to_datetime(df.Timestamp_0)
Then, create a column of day: df['day'] = df['Timestamp_0'].dt.day
Then group the Temperature values by that newly created column and apply either mean or median function:
per_day_mean_temp = df.groupby('day').mean()
or
per_day_median_temp = df.groupby('day').median()
I have a dataframe consisting of temperature values on one column, and the corresponding dates on another column.
The dataframe has a time period of 7 days, with measurements taken every minute, the problem is that I don’t know how to calculate the mean/median of the temperature and see the output per day.
Any thoughts?
Firstly, make sure that the ‘Timestamp_0’ colum is in datetime format. df.Timestamp_0 = pd.to_datetime(df.Timestamp_0)
Then, create a column of day: df['day'] = df['Timestamp_0'].dt.day
Then group the Temperature values by that newly created column and apply either mean or median function:
per_day_mean_temp = df.groupby('day').mean()
or
per_day_median_temp = df.groupby('day').median()