@@ -49,7 +49,7 @@ def normal_random(N, rg=None):
49
49
50
50
Example
51
51
--------
52
- >>> import numy as np
52
+ >>> import numpy as np
53
53
>>> import matplotlib.pyplot as plt
54
54
>>> import pyExSi as es
55
55
@@ -84,7 +84,7 @@ def pseudo_random(N, rg=None):
84
84
85
85
Example
86
86
--------
87
- >>> import numy as np
87
+ >>> import numpy as np
88
88
>>> import matplotlib.pyplot as plt
89
89
>>> import pyExSi as es
90
90
@@ -136,7 +136,7 @@ def burst_random(
136
136
137
137
Example
138
138
--------
139
- >>> import numy as np
139
+ >>> import numpy as np
140
140
>>> import matplotlib.pyplot as plt
141
141
>>> import pyExSi as es
142
142
@@ -280,7 +280,7 @@ def impulse(N, n_start=0, width=None, amplitude=1.0, window='sine'):
280
280
281
281
Example
282
282
--------
283
- >>> import numy as np
283
+ >>> import numpy as np
284
284
>>> import matplotlib.pyplot as plt
285
285
>>> import pyExSi as es
286
286
@@ -339,7 +339,7 @@ def get_psd(freq, freq_lower, freq_upper, variance=1):
339
339
340
340
Example
341
341
--------
342
- >>> import numy as np
342
+ >>> import numpy as np
343
343
>>> import matplotlib.pyplot as plt
344
344
>>> import pyExSi as es
345
345
@@ -387,7 +387,7 @@ def random_gaussian(N, PSD, fs, rg=None):
387
387
388
388
Example
389
389
--------
390
- >>> import numy as np
390
+ >>> import numpy as np
391
391
>>> import matplotlib.pyplot as plt
392
392
>>> import pyExSi as es
393
393
@@ -455,7 +455,7 @@ def stationary_nongaussian_signal(N, PSD, fs, s_k=0, k_u=3, mean=0, rg=None):
455
455
456
456
Example
457
457
--------
458
- >>> import numy as np
458
+ >>> import numpy as np
459
459
>>> import matplotlib.pyplot as plt
460
460
>>> import pyExSi as es
461
461
@@ -697,7 +697,7 @@ def nonstationary_signal(
697
697
698
698
Example
699
699
--------
700
- >>> import numy as np
700
+ >>> import numpy as np
701
701
>>> import matplotlib.pyplot as plt
702
702
>>> import pyExSi as es
703
703
0 commit comments