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I do not understand this code:
#Read temperature sensor
def Read_Temperature(places):
humidity, temperature = Adafruit_DHT_.read_retry(sensor, pin)
temperature = round(humidity, places)
return temperature
Can you please tell me what this code means?
humidity,temperature = Adafruit_DHT_.read_retry(sensor,pin)
This first instruction means the sensor will read the values of humidity and temperature a couple of time (which explain the read_retry). Reading the documentation, it will do so up to 15 times.
temperature = round(humidity,places)
For this one, I recommend reading the documentation you can find here : https://www.w3schools.com/python/ref_func_round.asp . It's going to round the humidity value by the number of places
Then it simply give you the temperature.
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I'm working on rainfall data in a csv file. I calculated the quantiles of my data, now I would like to extract the days when the rainfall amount exceed the 99th quantile.
But I'm struggling while trying to access the dates.
Here you have a screen of my dataframe (named series_total) in my jupyter notebook. series_total['Date'] returns the key error.
enter image description here
Waiting for some help/advices ;)
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I am looking for a way to use stock price data within micro timeframes. (30seconds, 15seconds, 1 second, milliseconds etc.)
I tried using the yfinance library. However, they do not have timeframes that are that small.
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I have two datetime time points for some data. I want to know if a specific day and time of the week occured on or inbetween the points. I want to specifically know if (Fri 17:00) - (Monday 07:00) occured. I can check the specic points if its the days im looking for with strftime(%a). But this would not work with the span
(Thursday 12/8) - (Monday 16/8)
Is this possible to achieve somewhat easily?
You can use the datetime.weekday() method and datetime.hour attribute to check if your dates are in your desired range. No need to compare the string representation of the time points.
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Im trying to find a way to compare what students performed consistantly in their InternalAssessment_Performance to their FinalExam_Performance. Essentially i need to find what students have the same answer in both those columns.
How is it possible to compare the values in both commons and have them returned if they are the same?
Any help no matter how small would be great.
If the columns are aligned you can do something like this:
df[df['InternalAssessment_Performance'] == df['FinalExam_Performance']]
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I have a list of csv file which contains several columns.
There's one that contains the lenght of my test in this format hh:mm:ss
I need to divide this data in two database based on lenght: <00:16:00 or >00:16:00
How can I do that?
Thanks for helping and sorry for my bad english.
Brute force:
value = "00:15:47" # taken from csv
if value < "00:16:00":
# handle smaller values
else:
# handle bigger values