Extra filtering example and fix dependency install (#432)

doc/changelog.rst

@@ -25,7 +25,7 @@ General
 
 Enhancements
 
-* Update SNIRF exporter to meet v1.0 validator requirements :meth:`mne_nirs.io.write_raw_snirf`. By `Robert Luke`_.
+* Update SNIRF exporter to meet v1.0 validator requirements :meth:`mne_nirs.io.snirf.write_raw_snirf`. By `Robert Luke`_.
 * Add ability to provide custom channel weighting in :meth:`mne_nirs.statistics.RegressionResults.to_dataframe_region_of_interest` computation. By `Robert Luke`_.
 
 

environment.yml

@@ -8,7 +8,7 @@ dependencies:
 - scipy
 - matplotlib
 - numba
-- pandas
+- pandas==1.3.2
 - xlrd
 - scikit-learn
 - h5py

examples/general/plot_30_frequency.py

@@ -199,6 +199,18 @@
 fig.axes[0].set_title('')
 
 
+# %%
+# Filter Neural Signal
+# ---------------------------------------------------------------------
+#
+# The effect of filtering on the neural signal is demonstrated below.
+# The green line illustrates the signal before filtering, and the red line
+# shows the signal after filtering.
+
+fig = raw_haemo.plot_psd(average=True, fmax=2, xscale='log', color='r', show=False)
+raw_haemo = raw_haemo.filter(l_freq=None, h_freq=0.4, h_trans_bandwidth=0.2)
+raw_haemo.plot_psd(average=True, fmax=2, xscale='log', ax=fig.axes, color='g')
+
 
 # %%
 # Understanding the relation between stimulus presentation and response

requirements_doc.txt

@@ -16,7 +16,6 @@ sphinx-multiversion
 matplotlib
 pillow
 numpy
-pandas
 h5py
 https://codeload.github.com/rob-luke/mne-bids/zip/nirs
 lets-plot

tools/github_actions_dependencies.sh

@@ -14,8 +14,8 @@ else
 	pip install --progress-bar off --upgrade --pre --only-binary ":all:" python-dateutil pytz joblib threadpoolctl six
 	echo "PyQt5"
 	pip install --progress-bar off --upgrade --pre --only-binary ":all:" --no-deps --extra-index-url https://www.riverbankcomputing.com/pypi/simple PyQt5 PyQt5-sip PyQt5-Qt5
-	echo "NumPy/pandas etc."
-	pip install --progress-bar off --upgrade --pre --only-binary ":all:" --no-deps -i "https://pypi.anaconda.org/scipy-wheels-nightly/simple" numpy pandas "scikit-learn>=0.24.2" dipy
+	echo "NumPy etc."
+	pip install --progress-bar off --upgrade --pre --only-binary ":all:" --no-deps -i "https://pypi.anaconda.org/scipy-wheels-nightly/simple" numpy "scikit-learn>=0.24.2" dipy
 	echo "H5py, pillow, matplotlib"
 	pip install --progress-bar off --upgrade --pre --only-binary ":all:" --no-deps -f "https://7933911d6844c6c53a7d-47bd50c35cd79bd838daf386af554a83.ssl.cf2.rackcdn.com" h5py pillow matplotlib
 	echo "Numba, nilearn"