vol | volume control in the shell for your mac
kandi X-RAY | vol Summary
kandi X-RAY | vol Summary
volume control in the shell for your mac
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- main entry point
- Convert a python script into an OS executable .
- Set device volume .
vol Key Features
vol Examples and Code Snippets
Lines of Code : 15License : Strong Copyleft (CC BY-SA 4.0)
Copyfrom collections import Counter
common_long_words = [word.casefold() for word in (max(re.findall('\\w+', version), key=len) for version in list_of_versions)]
words = Counter(common_long_words).most_common(3)
def sdf['main'] = (df['words']
.str.extractall('([a-zA-Z]+)')
.sort_values(by=0, key=lambda x: x.str.len())
.groupby(level=0).last()
[0].str.lower() # optional
)
words main
0 apple II appledef calc_rate(t, s, seasonality):
return (t * seasonality) / (s / n_months) / barge_cap / 2
occ_rate = {
"Jan": [calc_rate(t, s, seasonality[0]) for t, s in zip(tot_vol, service)],
"Feb": [calc_rate(t, data_to_sort =[]
data_to_sort.append(cleaned_data)
for everyrow in data_to_sort:
analog_voltage = []
Voltage= []
Current=[]
Temperature=[]
for idx in range(0, len(analog_voltage)):
output_file.writerow([analog_voltage[idx],Voltage[idx], Current[idx],Temperature[idx]])
out = pd.json_normalize(data, record_path='ticker', meta='time')[['time', 'symbol', 'buy', 'sell', 'high', 'low', 'averagePrice']]
time symbol buy sell high low averagePrice
0 1602832df['new'] = df.groupby(['year','month'])['vol'].transform(foo)
df['new'] = df['vol'].div(df.groupby(['year','month'])['vol'].transform('max'))
tdf.reindex(product_codes, level=1)
data =subprocess.Popen("help", stdout=subprocess.PIPE, shell=True).stdout.read().decode("utf-8")
print(data)
def toggle_mute_unmute(self):
if self.is_mute:
mixer.music.set_volume(self.prev_sound_volume)
self.volume_bar.set(self.prev_sound_volume) # go back to previous volume
self.is_mute = False
else:
self.Community Discussions
Trending Discussions on vol
QUESTION
I have this kind of input as below. It is a list of strings, every odd string is a number starting with MR and every even string is some mixed text. I need to convert this list of strings to a pandas data-frame which strictly has two columns, but because some of the MR numbers are present several times paired with different mixed text counter parts I am getting extra columns everywhere where an MR is repeated, as I am demonstrating below:
...ANSWER
Answered 2021-Jun-15 at 11:48Try this
QUESTION
I'm running this python 3 code code:
...ANSWER
Answered 2021-Jun-11 at 14:45Your code seems odd - there are several calls to read_csv when I'd have epxected to see only one, e.g.:
in main:
QUESTION
I use an online music player called "Netease Cloud Music", and I have multiple playlists in my account, they hold thousands of tracks and are very poorly organized and categorized and held duplicate entries, so I want to export them into an SQL table to organize them.
I have found a way to view the playlists without using the client software, that is, clicking the share button on top of the playlist page and then click "copy link".
But opening the link in any browser other than the client, the playlist will be limited to 1000 tracks.
But I have found a way to overcome it, I installed Tampermonkey and then installed this script.
Now I can view full playlists in a browser.
This is a sample playlist.
The playlists look like this:
The first column holds the songtitle, the second column holds the duration, the third column holds the artist, and the last column holds the album.
The text in the first, third and fourth columns are hyperlinks to the song, artist and album pages respectively.
I don't know a thing about html but I managed to get its data structure.
The thing we need is the table located at xpath //table/tbody, each row is a childnode of the table named tr(xpath //table/tbody/tr).
this is a sample row:
...ANSWER
Answered 2021-Jun-07 at 07:39The simplest answer is that you have to add some delay after opening the page with Firefox.get('https://music.163.com/#/playlist?id=158624364&userid=126762751') before getting the elements with Firefox.find_elements_by_xpath('//table/tbody/tr') to let the elements on the page loaded. It takes few moments.
So, you can simply add a kind of time.sleep(5) there.
The better approach is to use expected conditions instead.
Something like this:
QUESTION
I want to rename a list of R Markdowns from a group split. Each dataframe has their own name in the list. My question is that I want to use makeDataReport() to generate a R Markdown report for each group split but the function gives me an error on renaming the new R Markdown output.
ANSWER
Answered 2021-Jun-06 at 13:41pengiuns <- split(penguins, penguins$island)
pengiuns %>%
map(~makeDataReport(., file = paste0(unique(.$island),".Rmd")))
QUESTION
I need to get the json that its inside of a java script var, and that var it inside a script tag like this
...ANSWER
Answered 2021-Jun-05 at 23:06beautifulsoup cannot parse javascript, but you can use re/json module to parse the data. For example:
QUESTION
I need to resample the rows whose time column is '09:00:00' and '09:30:00' into the row '09:30:00', open takes the value of the open column of '09:00:00' row, low Take the lowest value of the low column of both, high take the highest value of the high column of both, close take the value of the close column of '09:30:00' row, vol take the sum of the vol column of the two, and amount take sum of of both amount columns. Finally delete the '09:00:00' row.
Then loop over code column and date column.
original：
...ANSWER
Answered 2021-Jun-05 at 17:41TRY:
QUESTION
How can I fade out an audio element using vanilla js (no jquery)? I have looked at the numerous other questions on this forum but they all seem overly complicated or use jquery. I have written this code below. However, I get the following error: "Uncaught DOMException: Failed to set the 'volume' property on 'HTMLMediaElement': The volume provided (-7.52870e-16) is outside the range [0, 1]."
...ANSWER
Answered 2021-Jun-04 at 17:50Let's say vol currently has a value of 0.005. The way your code is currently set up, if (vol > 0) is true, so you will then subtract 0.01, giving vol a value of -0.005. Since that is now less than zero, you will get an error when attempting to set the volume to that level.
The fix is to call vol -= 0.01 before you test if(vol > 0). That way, if vol drops below 0 you won't be attempting to set the volume to an invalid level.
QUESTION
I am new to Tone.js and have a problem with the Gain object. I have a volume slider set up in html as follows:
...ANSWER
Answered 2021-Jun-03 at 20:31It looks like you're creating a new gain node each time you click "play". You only need to create those Tone objects once.
Also, the $(".vol-slider").on('input' code is not modifying the gain node itself. You can use gain.rampTo() to modify the gain while Tone is playing your part.
This should work:
QUESTION
I have attached the below ebs volumes in my aws ec2 instance
...ANSWER
Answered 2021-Jun-03 at 11:05You can use ebsnvme-id as shown in the docs:
QUESTION
My Dataframe has 11,516,015 rows, which are daily data. The data of ts_code is duplicated and ts_code+trade_date is unique. I need to convert all the data into weekly data, some of the data are as follows:
ANSWER
Answered 2021-Jun-03 at 09:24You can groupby() the data by ts_code, resample() by week and apply the aggregation function of interest. Notice that after you resample the data, you can select which columns you want to apply the aggregation function.
I have recently dealt with a similar situation in a time-series, as you can see on the code below:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install vol
You can use vol like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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