I have the following dataset: The dataset spans three months and counts the occurrence of five codes per day. In order to plot the data I have just used the following code: I am wondering though, how this can be done using seaborn and a lineplot ? AdvertisementAnswer Is this what you are looking for?

# Tag: time-series

## Is there a way to visualise time series data in such a way that on x-axis i get ticks in year-month format in python?

I am trying to plot a data of stock close price for each day but on the x-axis, i get no labels on xtick instead of year-month format I tried to take the “Date” and “Close Price” column in a separate dataframe and then tried plotting them. I have dataframe similar to this AdvertisementAnswer Just […]

## resample/interpolate time series with datetimeindex

I have two dataframes each containing one or more time series from the same time frame but sampled at different timestamps. I’d like to merge them into a single one resampled and interpolated with the index of the first. Here’s a sample of the first dataframe: And the second one: In this case the second […]

## Pandas finding local max and min

I have a pandas data frame with two columns one is temperature the other is time. I would like to make third and fourth columns called min and max. Each of these columns would be filled with nan’s …

## Remove ‘seconds’ and ‘minutes’ from a Pandas dataframe column

Given a dataframe like: I would like to remove the ‘minutes’ and ‘seconds’ information. The following (mostly stolen from: How to remove the ‘seconds’ of Pandas dataframe index?) works okay, but it feels strange to convert a datetime to a string then back to a datetime. Is there a way to do this more directly? Answer dt.round This is how

## Plot elapsed time on x axis using date indexed time-series data

In my pandas dataframe, my time series data is indexed by absolute time (a date of format YYYY-MM-DD HH24:MI:SS.nnnnn): How can I plot this data such that the x-axis of my plots is an increasing value of some interval of seconds (e.g, “0 10 20 30 40 50”) relative to the timestamp of my first sample ? Do I need

## auto.arima() equivalent for python

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 tune the (p,d,q) parameters. How do I go about choosing the right order for my model? Are there any libraries available in python for this purpose? Answer You can

## How to split a pandas time-series by NAN values

I have a pandas TimeSeries which looks like this: 2007-02-06 15:00:00 0.780 2007-02-06 16:00:00 0.125 2007-02-06 17:00:00 0.875 2007-02-06 18:00:00 NaN 2007-02-06 19:00:00 0.565 …

## Compute daily climatology using pandas python

I am trying to use pandas to compute daily climatology. My code is: cum_data is the data frame containing daily dates from 1st Jan 1950 to 31st Dec 1953. I want to create a new vector of length 365 with the first element containing the average of rand_data for January 1st for 1950, 1951, 1952 and 1953. And so on

## sliding window of M-by-N shape numpy.ndarray

I have a numpy array of shape (6,2) I need a sliding window with step size 1 and window size 3 likes this: I’m looking for a numpy solution. If your solution could parametrize the the shape of the original array as well as the window size and step size, that’d great. I found this […]