I have below time-series data couple of day and i wanna unstack it by Date. But i used .unstack() then it automatically sorted by time. (Date/Time is multi index) Date Time a b c d e 2015-12-06 22...

I am working on a time series data. The data available is multi-variate. So for every instance of time there are three data points available. Format: | X | Y | Z | So one time series data in a...

I want to be able to set the major and minor xticks and their labels for a time series graph plotted from a Pandas time series object. The Pandas 0.9 "what's new" page says: "you ca...

How can I read edf data using Python? I want to analyze data of a edf file, but I cannot read it using pyEDFlib. It threw the error OSError: The file is discontinous and cannot be read and I'm not ...

I am trying to plot time series data. But x axis ticks are not coming the way it should. I wanted to out mont and year as x axis ticks. here is my code from matplotlib.dates import DateFormatter im...

I need some help with tooltips on time series graph in Grafana. I am executing a kusto query which projects these 3 values: date_time (timestamp), data (int), and build_id (string). Using this quer...

Imagine a Spark Dataframe consisting of value observations from variables. Each observation has a specific timestamp and those timestamps are not the same between different variables. This is becau...

I am running a time series forecast using forecast::auto.arima, and I was trying to see if there is a way to extract the values assigned to p, d, q (and seasonally as well if applicable) from the f...

For a time series sales forecasting task I want to create a feature that represents the average sales over the last 3 days. I have a problem when I want to predict the sales for days in the future,...

Time series decomposition is a method that separates a time-series data set into three (or more) components. For example: x(t) = s(t) + m(t) + e(t) where t is the time coordinate x is the data...

Given the below pandas DataFrame: In [115]: times = pd.to_datetime(pd.Series(['2014-08-25 21:00:00','2014-08-25 21:04:00', '2014-08-25 22:07:00','2014-08-25 22:09:00'])) locations = ['HK', 'LDN'...

The usual way to fit an ARIMA model with the statsmodels python package is: model = statsmodels.tsa.ARMA(series, order=(2,2)) result = model.fit(trend='nc', disp=1) however, i have multiple time...

I would like to use grad-CAM to add explainability to my model train on multiple multivariate timeseries. The idea would be to have something like this : I found a couple of paper that do it (Expl...

I have my data in an array of the following structure, [[1293606162197, 0, 0], [1293605477994, 63, 0], [1293605478057, 0, 0], [1293605478072, 2735, 1249], [1293606162213, 0, 0], [1293606162229...

Is there any solution to remove a specific column of a series in InfluxDB? Its seems that this feature is not implemented. But does anybody have found any kind of trick to do that?

I have an index array (x) of dates (datetime objects) and an array of actual values (y: bond prices). Doing the following: plot(x,y) produces a perfectly fine time series graph with the x-axis lab...

I'm having a problem thats limiting me quite a bit. We are trying to sample our data by grouping time. We have millions of points and want to fetch every Nth point in a given interval. We have impl...

I have a Pandas data frame and one of the columns, have dates in string format of YYYY-MM-DD. For e.g. : '2013-10-28' At the moment the dtype of the column is object. How do I convert the column va...

I have been trying to plot a time series graph from a CSV file. I have managed to read the file and converted the data from string to date using strptime and stored in a list. When I tried plotting...

I have a daily time series dataset that I am using Python SARIMAX method to predict for future. But I do not know how to write codes in python that accounts for multiple seasonalities. As far as I ...

I am trying to predict weekly sales using ARMA ARIMA models. I could not find a function for tuning the order(p,d,q) in statsmodels. Currently R has a function forecast::auto.arima() which will tun...

As statsmodels.tseries models require indexes with a given frequency to make forecasts and I need my data to have a non-standard frequency. Therefore, I want to create a new frequency to assign to ...

I am trying to create a ts object using R for a daily time series that starts on 24.02.2015 and ends on 13.04.2015. I have put the frequency=7 for daily data but I cannot find a way to put the exac...

I don't understand how time series objects are created in R. I have data: data = c(101,99,97,95,93,91,89,87,85,83,81) (smaller dataset for the sake of brevity). This data is taken once every day fo...

I have a data set which has dates in the first column, and a "result" integer which is either 1 or 0. The date column was successfully converted to a time object. I tried to plot the valu...