My data set is much larger so I have simplified it. I want to convert the dataframe into a time-series. The bit I am stuck on: I have overlapping date ranges, where I have a smaller date range inside a larger one, as shown by row 0 and row 1, where row 1 and row 2 are inside the date
Tag: time-series
decompose() for time series: ValueError: You must specify a period or x must be a pandas object with a DatetimeIndex with a freq not set to None
I have some problems executing an additive model right. I have the following data frame: And when I run this code: I got that message: ValueError: You must specify a period or x must be a pandas object with a >DatetimeIndex with a freq not set to None What should I do in order to get that example: The scre…
Pandas: How to fill missing dates in a long dataframe with multiple non overlapping time series?
I have a long dataframe with multiple timeseries which are non overlapping. The df looks like this For the time series with id 1, the missing timestamps are 5,6 and 7 and the time series #2 misses timestamps 0 and 1. I would like to fill the missing dates for all the time series in the dataframe so all of
Time Series Plot Seaborn with MultiIndex
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 ? Answer Is this what you are looking for?
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 Answer Just c…
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 …
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 except where there is a local min or max, then it would have the value of that extrema. Here is a sample
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 …
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 sampl…
ObsPy Plot Beachball in Time Series
I am trying to plot an ObsPy (or any python) seismic focal mechanism in time series. When using an integer/float series for x it works fine, but the time series fails here: The function xy2patch in the source code is trying to scale the time by a float value. Any ideas? Hack the source? Other packages? Thanks…