kozo496 kozo496

## jupyter_nbconvert.sh
# jupyter　ipynbファイルをhtmlに変換. コードはアウトプットしない場合
jupyter nbconvert --to html jupyter_file.ipynb --no-input

## NEURON_set_recording_vector.py
from neuron import h

# set voltage vector at a middle of "soma" of "my_cell"
soma_v = h.Vector().record(my_cell.soma(0.5)._ref_v)
t = h.Vector().record(h._ref_t)

## pandoc_1.sh
pandoc -f markdown -t html notebook.md > output.html

## open_text_file_1.py
# `test.txt`ファイルから一行ずつ読み込む
with open('test.txt', 'r) as f:
          lines = [line.rstrip() for line in f]

## first_crossing_point.ipynb

      
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                kozo496
                / first_crossing_point.ipynb
            
            
              Last active
              June 1, 2022 14:59
            
              
                最初に閾値を超える値のindexを求める
              
          
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## linear_regression.py
import numpy as np

def linear_regression(x,y):
    A = np.vstack([x, np.ones(len(x))]).T
    a, b = np.linalg.lstsq(A, y, rcond=None)[0]
    return a, b
	# jupyter　ipynbファイルをhtmlに変換. コードはアウトプットしない場合
	jupyter nbconvert --to html jupyter_file.ipynb --no-input
	from neuron import h

	# set voltage vector at a middle of "soma" of "my_cell"
	soma_v = h.Vector().record(my_cell.soma(0.5)._ref_v)
	t = h.Vector().record(h._ref_t)
	# `test.txt`ファイルから一行ずつ読み込む
	with open('test.txt', 'r) as f:
	lines = [line.rstrip() for line in f]
	import numpy as np

	def linear_regression(x,y):
	A = np.vstack([x, np.ones(len(x))]).T
	a, b = np.linalg.lstsq(A, y, rcond=None)[0]
	return a, b