fix outdated example

examples/decoding/decoding_csp_eeg.py

@@ -41,7 +41,6 @@
 # avoid classification of evoked responses by using epochs that start 1s after
 # cue onset.
 tmin, tmax = -1.0, 4.0
-event_id = dict(hands=2, feet=3)
 subject = 1
 runs = [6, 10, 14]  # motor imagery: hands vs feet
 
@@ -50,6 +49,7 @@
 eegbci.standardize(raw)  # set channel names
 montage = make_standard_montage("standard_1005")
 raw.set_montage(montage)
+raw.annotations.rename(dict(T1='hands', T2='feet'))
 
 # Apply band-pass filter
 raw.filter(7.0, 30.0, fir_design="firwin", skip_by_annotation="edge")
@@ -60,7 +60,7 @@
 # Testing will be done with a running classifier
 epochs = Epochs(
     raw,
-    event_id=dict(T1=2, T2=3),
+    event_id=['hands', 'feet'],
     tmin=tmin,
     tmax=tmax,
     proj=True,