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smoothing function

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This commit is contained in:
Ramona 2018-11-21 11:06:00 +01:00
parent c713cbc1ff
commit 15e7fbc51f
2 changed files with 12 additions and 5 deletions
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7
code/spikes_analysis.py
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@ -53,11 +53,8 @@ for deltaf in df_map.keys():
plot_trials = df_phase_time['-50Hz'][0.0] plot_trials = df_phase_time['-50Hz'][0.0]
plot_trials_binary = np.mean(df_phase_binary['-50Hz'][0.0], axis=0) plot_trials_binary = np.mean(df_phase_binary['-50Hz'][0.0], axis=0)
mu = 1 window = 100
sigma = 100 smoothed_spikes = smooth(plot_trials_binary, window)
time_gauss = np.arange(-4*sigma, 4*sigma, 1)
gauss = gaussian(time_gauss, mu, sigma)
smoothed_spikes = np.convolve(plot_trials_binary, gauss, 'same')
time_axis = np.arange(-50, 50, 1/sampling_rate) time_axis = np.arange(-50, 50, 1/sampling_rate)
fig, ax = plt.subplots() fig, ax = plt.subplots()

10
code/utility.py
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@ -23,6 +23,16 @@ def gaussian(x, mu, sig):
y = np.exp(-np.power(x - mu, 2.) / (2 * np.power(sig, 2.))) y = np.exp(-np.power(x - mu, 2.) / (2 * np.power(sig, 2.)))
return y return y
def smooth(data, window):
mu = 1
sigma = window
time_gauss = np.arange(-4 * sigma, 4 * sigma, 1)
gauss = gaussian(time_gauss, mu, sigma)
smoothed_data = np.convolve(data, gauss, 'same')
return smoothed_data
def map_keys(input): def map_keys(input):
df_map = {} df_map = {}
for k in input.keys(): for k in input.keys():