blocks|key|174250|text|import+scipy.io.wavfile
scipy.io.wavfile.write("karplus.wav",+Fs,+y)|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|174251|塔达！AFAIK使用float64和float32，可能还有其他。对于立体声，形状必须是(nb_samples，2)。见scipy.io.wavfile.write。|unstyled|offset|length|174252|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.wavfile.write.html^0|0|1O|M|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|R|8|@]|9|@$G|S|H|T|1|U]]|A|$]]|$1|I|3|-4|5|F|7|V|8|@]|9|@]|A|$]]]|J|$K|$5|L|M|N|A|$O|P]]]]

<pre><code>import scipy.io.wavfile
scipy.io.wavfile.write("karplus.wav", Fs, y)
</code></pre>

Tada! AFAIK works with float64 and float32, and probably others. For stereo, shape must be (nb_samples, 2). See <a href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.wavfile.write.html" rel="noreferrer">scipy.io.wavfile.write</a>.

blocks|key|824475|text|下面是使用wave标准库编写(立体声)波形文件的代码示例。我包括两个示例:一个使用numpy，另一个不需要任何依赖项。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|824476|使用numpy数组|824477|注意，如果数据位于numpy数组中，则不需要struct库。|824478|import+wave
import+numpy+as+np

samplerate+=+44100

#+A+note+on+the+left+channel+for+1+second.
t+=+np.linspace(0,+1,+samplerate)
left_channel+=+0.5+*+np.sin(2+*+np.pi+*+440.0+*+t)

#+Noise+on+the+right+channel.
right_channel+=+np.random.random(size=samplerate)

#+Put+the+channels+together+with+shape+(2,+44100).
audio+=+np.array([left_channel,+right_channel]).T

#+Convert+to+(little-endian)+16+bit+integers.
audio+=+(audio+*+(2+**+15+-+1)).astype("<h")

with+wave.open("sound1.wav",+"w")+as+f:
++++#+2+Channels.
++++f.setnchannels(2)
++++#+2+bytes+per+sample.
++++f.setsampwidth(2)
++++f.setframerate(samplerate)
++++f.writeframes(audio.tobytes())|code-block|syntax|javascript|824479|使用列表|824480|这是(几乎)相同的代码，但不使用numpy。不需要外部依赖项。|824481|import+math
import+random
import+struct
import+wave

samplerate+=+44100

left_channel+=+[
++++0.5+*+math.sin(2+*+math.pi+*+440.0+*+i+/+samplerate)+for+i+in+range(samplerate)
]
right_channel+=+[random.random()+for+_+in+range(samplerate)]

with+wave.open("sound2.wav",+"w")+as+f:
++++f.setnchannels(2)
++++f.setsampwidth(2)
++++f.setframerate(samplerate)
++++for+samples+in+zip(left_channel,+right_channel):
++++++++for+sample+in+samples:
++++++++++++sample+=+int(sample+*+(2+**+15+-+1))
++++++++++++f.writeframes(struct.pack("<h",+sample))|824482|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.python.org/3/library/wave.html|1|https://numpy.org/|2|https://docs.python.org/3/library/struct.html^0|5|4|15|5|5|4|0|15|5|1|0|0|M|6|M|6|2|0|0|0|G|5|0|0^^$0|@$1|2|3|4|5|6|7|16|8|@$9|17|A|18|B|C]|$9|19|A|1A|B|C]]|D|@$9|1B|A|1C|1|1D]|$9|1E|A|1F|1|1G]]|E|$]]|$1|F|3|G|5|6|7|1H|8|@]|D|@]|E|$]]|$1|H|3|I|5|6|7|1I|8|@$9|1J|A|1K|B|C]]|D|@$9|1L|A|1M|1|1N]]|E|$]]|$1|J|3|K|5|L|7|1O|8|@]|D|@]|E|$M|N]]|$1|O|3|P|5|6|7|1P|8|@]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1Q|8|@$9|1R|A|1S|B|C]]|D|@]|E|$]]|$1|S|3|T|5|L|7|1T|8|@]|D|@]|E|$M|N]]|$1|U|3|-4|5|6|7|1U|8|@]|D|@]|E|$]]]|V|$W|$5|X|Y|Z|E|$10|11]]|12|$5|X|Y|Z|E|$10|13]]|14|$5|X|Y|Z|E|$10|15]]]]

Here are code samples to write a (stereo) wave file using the <a href="https://docs.python.org/3/library/wave.html" rel="noreferrer"><code>wave</code></a> standard library.
I included two examples: one using <a href="https://numpy.org/" rel="noreferrer"><code>numpy</code></a>, and one that doesn't require any dependencies.
<h3>Using a numpy array</h3>
Note that if your data is in a numpy array, no need for the <a href="https://docs.python.org/3/library/struct.html" rel="noreferrer"><code>struct</code></a> library.
<pre class="lang-py prettyprint-override"><code>import wave
import numpy as np

samplerate = 44100

# A note on the left channel for 1 second.
t = np.linspace(0, 1, samplerate)
left_channel = 0.5 * np.sin(2 * np.pi * 440.0 * t)

# Noise on the right channel.
right_channel = np.random.random(size=samplerate)

# Put the channels together with shape (2, 44100).
audio = np.array([left_channel, right_channel]).T

# Convert to (little-endian) 16 bit integers.
audio = (audio * (2 ** 15 - 1)).astype(&quot;&lt;h&quot;)

with wave.open(&quot;sound1.wav&quot;, &quot;w&quot;) as f:
 # 2 Channels.
 f.setnchannels(2)
 # 2 bytes per sample.
 f.setsampwidth(2)
 f.setframerate(samplerate)
 f.writeframes(audio.tobytes())

</code></pre>
<h3>Using a list</h3>
This is (almost) the same code but without using <code>numpy</code>. No external dependencies are required.
<pre class="lang-py prettyprint-override"><code>import math
import random
import struct
import wave

samplerate = 44100

left_channel = [
 0.5 * math.sin(2 * math.pi * 440.0 * i / samplerate) for i in range(samplerate)
]
right_channel = [random.random() for _ in range(samplerate)]

with wave.open(&quot;sound2.wav&quot;, &quot;w&quot;) as f:
 f.setnchannels(2)
 f.setsampwidth(2)
 f.setframerate(samplerate)
 for samples in zip(left_channel, right_channel):
 for sample in samples:
 sample = int(sample * (2 ** 15 - 1))
 f.writeframes(struct.pack(&quot;&lt;h&quot;, sample))
</code></pre>

blocks|key|174274|text|从文件中读取和写入波形文件：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|174275|from++scipy.io+import+wavfile+

sampling_rate,+data+=+wavfile.read(wpath)
wavfile.write('abc1.wav',+sampling_rate,+data)|code-block|syntax|javascript|174276|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

Read and write wave file to and from a file:
<pre><code>from scipy.io import wavfile 

sampling_rate, data = wavfile.read(wpath)
wavfile.write('abc1.wav', sampling_rate, data)
</code></pre>

I am trying to implement the Karplus-Strong algorithm.

All is looking fine when I play (through Jupyter Notebook using Audio(y, rate=Fs)) the collected numpy array (representing guitar accord).

Unfortunately, writing the numpy array: y, into wav file using WAVE module is incorrect (using the next python code):

<pre><code>noise_output = wave.open('k-s.wav', 'w')
noise_output.setparams((1, 4, Fs, 0, 'NONE', 'not compressed'))

for i in range(0, len(y)):
 value = y[i]
 packed_value = struct.pack('f', value)
 noise_output.writeframes(packed_value)

noise_output.close()
</code></pre>

Each element of y is 

<pre><code>&lt;type 'numpy.float64'&gt;
</code></pre>

How should I amend the writing loop in order write the WAV file correctly? 

Some more information about the issue. Before writing to WAV, the first elements of the y array are:

<pre><code> [ 0.33659756 0.33659756 -0.43915295 -0.87036152 1.40708988 0.32123558
-0.6889402 1.9739982 -1.29587159 -0.12299964 2.18381762 0.82228042
 0.24593503 -1.28067426 -0.67568838 -0.01843234 -1.830472 1.2729578
-0.56575346 0.55410736]
</code></pre>

After writing the elements to the WAV file, close the WAV file and read it again, I got this for the first 20 elements of the collected array:

<pre><code>[ 1051481732 1051481732 -1092560728 -1084305405 1068768133 1050966269
 -1087349149 1073523705 -1079648481 -1107564740 1074512811 1062371576
 1048303204 -1079775966 -1087571478 -1130954901 -1075163928 1067642952
 -1089415880 1057872379]
</code></pre>

Writing WAV file using Python, Numpy array and WAVE module

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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社区新版编辑器体验调研

我正在尝试实现Karplus-强算法。当我玩(通过木星笔记本使用音频(y，rate=Fs))收集的numpy阵列(代表吉他协奏曲)时，一切看起来都很好。不幸的是，使用WAVE模块将numpy数组：y写入wav文件是不正确的(使用下一个python代码)：noise_output = wave.open('k-s.wav...

问使用Python、Numpy数组和WAVE模块编写WAV文件
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