Update tutorial

pynapple-org · Nov 17, 2023 · b245ebf · b245ebf
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diff --git a/docs/examples/tutorial_calcium_imaging.py b/docs/examples/tutorial_calcium_imaging.py
@@ -95,7 +95,7 @@
 # ---------------------
 # Here we compute the tuning curves of all the neurons
 
-tcurves = nap.compute_1d_tuning_curves_continous(transients, angle, nb_bins = 120)
+tcurves = nap.compute_1d_tuning_curves_continuous(transients, angle, nb_bins = 120)
 
 print(tcurves)
 
@@ -123,8 +123,8 @@
 # %%
 # Now we can compute the tuning curves for each half of the recording and plot the tuning curves for the fifth region of interest. 
 
-half1 = nap.compute_1d_tuning_curves_continous(transients, angle, nb_bins = 120, ep = halves.loc[[0]])
-half2 = nap.compute_1d_tuning_curves_continous(transients, angle, nb_bins = 120, ep = halves.loc[[1]])
+half1 = nap.compute_1d_tuning_curves_continuous(transients, angle, nb_bins = 120, ep = halves.loc[[0]])
+half2 = nap.compute_1d_tuning_curves_continuous(transients, angle, nb_bins = 120, ep = halves.loc[[1]])
 
 plt.figure(figsize=(12, 5))
 plt.subplot(1,2,1)

diff --git a/docs/index.md b/docs/index.md
@@ -22,8 +22,8 @@ pynapple is a light-weight python library for neurophysiological data analysis.
 
 ------------------------------------------------------------------------
 
-:fire::fire::fire::fire::fire::fire::fire::fire: New release :fire::fire::fire::fire::fire::fire::fire::fire::fire::fire:
----------------
+New release :fire:
+------------------
 Starting with 0.4, pynapple rely on the [numpy array container](https://numpy.org/doc/stable/user/basics.dispatch.html) approach instead of Pandas. Pynapple builtin functions will remain the same except for functions inherited from Pandas. Typically this line of code in `pynapple<=0.3.6` :
 ```python
 meantsd = tsdframe.mean(1)
@@ -37,9 +37,6 @@ in `pynapple>=0.4.0`. This allows for a better handling of returned objects.
 Additionaly, it is now possible to define time series objects with more than 2 dimensions with `TsdTensor`. You can also look at this [notebook](https://pynapple-org.github.io/pynapple/generated/gallery/tutorial_pynapple_numpy/) for a demonstration of numpy compatibilities.
 
 
-:fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire::fire:
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-
 Getting Started
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