# calculate quartil python

>>> np.percentile(df.time_diff, 25) # Q1 0.48333300000000001 >>> np.percentile(df.time_diff, 50) # median 0.5 >>> np.percentile(df.time_diff, 75) # Q3 0.51666699999999999

**Here is what the above code is Doing:**

1. We’re using the `.groupby()` method to group the dataframe by the `user_id` column.

2. We’re using the `.diff()` method to calculate the difference between each row and the previous row.

3. We’re using the `.dropna()` method to drop the first row of each group, which is `NaN` because there is no previous row.

4. We’re using the `.reset_index()` method to reset the index of the dataframe.

5. We’re using the `.rename()` method to rename the `time_diff` column to `time_diff_seconds`.

Now that we have the time difference between each row, we can calculate the average time difference for each user.

**Exercise**

– Use the `.groupby()` method to group the dataframe by the `user_id` column.

– Use the `.mean()` method to calculate the mean of the `time_diff_seconds` column.

– Assign the result to `average_time_diff`.

**Exercise**

– Use the `.groupby()` method to group the dataframe by the `user_id` column.

– Use the `.agg()` method to calculate the mean of the `time_diff_seconds` column and the standard deviation of the `time_diff_seconds` column.

– Assign the result to `average_time_diff_and_std`.

**Exercise**

– Use the `.groupby()` method to group the dataframe by the `user_id` column.

– Use the `.agg()` method to calculate the mean of the `time_diff_seconds` column and the standard deviation of the `time_diff_seconds` column.

– Use the `.reset_index()` method to reset the index of the dataframe.

– Assign the result to `average_time_diff_and_std_reset_index`.

**Exercise**

– Use the `.groupby()` method to group the dataframe by the `user_id` column.

– Use the `.agg()` method to calculate the mean of the `time_diff_seconds` column and the standard deviation of the `time_diff_seconds` column.

– Use the `.reset_index()` method to reset the index of the dataframe.

– Use the `.rename()` method to rename the `time_diff_seconds_mean` column to `mean_time_diff_seconds` and the `time_diff