Skip to main content

apply a function to each level of grouping factor and create new column in existing data frame

I have a data frame (df) that looks like this

           timestamp                  datetime        date      time    open  \
0      1667520000000 2022-11-04 00:00:00+00:00  2022-11-04  00:00:00  0.2186   
1      1667606400000 2022-11-05 00:00:00+00:00  2022-11-05  00:00:00  0.2589   
2      1667692800000 2022-11-06 00:00:00+00:00  2022-11-06  00:00:00  0.2459   
3      1667779200000 2022-11-07 00:00:00+00:00  2022-11-07  00:00:00  0.2315   
4      1667865600000 2022-11-08 00:00:00+00:00  2022-11-08  00:00:00  0.2353   
              ...                       ...         ...       ...     ...   
15012  1675728000000 2023-02-07 00:00:00+00:00  2023-02-07  00:00:00  0.2449   
15013  1675814400000 2023-02-08 00:00:00+00:00  2023-02-08  00:00:00  0.2610   
15014  1675900800000 2023-02-09 00:00:00+00:00  2023-02-09  00:00:00  0.2555   
15015  1675987200000 2023-02-10 00:00:00+00:00  2023-02-10  00:00:00  0.2288   
15016  1676073600000 2023-02-11 00:00:00+00:00  2023-02-11  00:00:00  0.2317   
         high     low   close        volume              symbol  
0      0.2695  0.2165  0.2588  1.239168e+09  1000LUNC/USDT:USDT  
1      0.2788  0.2414  0.2458  1.147000e+09  1000LUNC/USDT:USDT  
2      0.2554  0.2292  0.2315  5.137089e+08  1000LUNC/USDT:USDT  
3      0.2398  0.2263  0.2352  4.754763e+08  1000LUNC/USDT:USDT  
4      0.2404  0.1320  0.1895  1.618936e+09  1000LUNC/USDT:USDT  
       ...     ...     ...           ...                 ...  
15012  0.2627  0.2433  0.2611  8.097549e+07       ZRX/USDT:USDT  
15013  0.2618  0.2432  0.2554  7.009100e+07       ZRX/USDT:USDT  
15014  0.2651  0.2209  0.2287  1.217487e+08       ZRX/USDT:USDT  
15015  0.2361  0.2279  0.2317  6.072029e+07       ZRX/USDT:USDT  
15016  0.2418  0.2300  0.2409  2.178281e+07       ZRX/USDT:USDT

I want to apply a function from pandas ta, called bbands to each level of symbol using the column 'close' as the input. The function return multiple variables, but I only want to keep the one labeled 'BBM_20_2.0' and store this as another column in the df.

If I were to just apply the function to entire df ignoring the fact that each symbols has to be treated separately I would do this

daily_df['bbm'] = bbands(daily_df.close, 20, 2)['BBM_20_2.0']

I have tied to use groupby like this

daily_df['bbm'] = daily_df.groupby(["symbol"]).apply(bbands(daily_df.close, 20, 2)['BBM_20_2.0'])

but Im getting errors. Can anyone help?



source https://stackoverflow.com/questions/75421579/apply-a-function-to-each-level-of-grouping-factor-and-create-new-column-in-exist

Labels

Labels:

Comments

Post a Comment

Popular posts from this blog

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype
Post a Comment
Read more

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...
Post a Comment
Read more

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...
Post a Comment
Read more