How to calculate rolling / moving average using python + NumPy / SciPy?
There seems to be no function that simply calculates the moving average on numpy/scipy, leading to convoluted solutions.
time-series
Pandas: rolling mean by time interval
I’ve got a bunch of polling data; I want to compute a Pandas rolling mean to get an estimate for each day based on a three-day window. According to this question, the rolling_* functions compute the window based on a specified number of values, and not a specific datetime range.
Combine Date and Time columns using python pandas
I have a pandas dataframe with the following columns:
Pandas finding local max and min
I have a pandas data frame with two columns one is temperature the other is time.
Can Pandas plot a histogram of dates?
I’ve taken my Series and coerced it to a datetime column of dtype=datetime64[ns] (though only need day resolution…not sure how to change).
Pandas: resample timeseries with groupby
Given the below pandas DataFrame:
Sliding window of M-by-N shape numpy.ndarray
I have a Numpy array of shape (6,2):
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 to plot stacked event duration (Gantt Charts) using Python Pandas
I have a Pandas DataFrame containing the date that a stream gage started measuring flow and the date that the station was decommissioned. I want to generate a plot showing these dates graphically. Here is a sample of my DataFrame:
python recursive vectorization with timeseries
I have a Timeseries (s) which need to be processed recursively to get a timeseries result (res). Here is my sample code: