Using plotly express px.bar causes a shift in output Question: I am trying to print a bar chart using plotly express (px.bar). It is a yearly set of data from 2015 to 2022 but gets plotted from 2016 to 2023. Not sure why… Code to plot yearly returns. # plotting the yearly % returns fig …
How to format the timeseries axis of a matplotlib plot like a pandas plot Question: I’ve created following graph with pd.Series([1]*month_limits.size, month_limits).plot(ax=ax) How do I recreate same x ticks labels with just matplotlib? I mean years and month not overriding each other Best I got is having years and months at the same time, but …
Calculate Delta between time series peaks with pandas Question: I have two pandas dataframe as follow: df1: dt z 1970-01-17 21:39:10.304 0.87602 1970-01-17 21:39:10.344 0.99907 … … df2: | dt | z | | ————————–| ————– | | 1970-01-17 21:39:23.312 | 0.84904 | | 1970-01-17 21:39:23.352 | 1.00542 | | … | … | where …
Create the evolution of exposure from inception and maturity of a list of loans in Python/Pandas Question: I have a DataFrame with a list of loans, with inception date, maturity, amount. I would like to create a DataFrame with the evolution of the exposure as follows: from: contract amount inception maturity 1 100 31/12/2022 31/12/2042 …
Pandas label column values between 100 and 160 as Y, and between 100 and 300 as N based on timestamp column Question: I have timeseries data with 10 secondly data, in which a column’s values start in the range of 100 and 160 for around 2 minutes and then after some time another range of …
Pandas – Irregular time series data – Compare row to next 8 hours of rows Question: Right now I am using pandas to analyze call center data. The data is structured as followed: call_time = pd.to_datetime([ ‘2020-01-01 01:00:00’, ‘2020-01-01 09:00:00’, ‘2020-01-01 01:00:00’, ‘2020-01-01 03:00:00’, ‘2020-01-01 04:00:00’, ‘2020-01-01 06:00:00’, ‘2020-01-01 01:00:00’, ‘2020-01-01 10:00:00’, ]) df = …
Find events in log that occur after a specific event Question: I have a log of events to analyze that looks like this: +—-+———————+———-+——–+ | id | timestamp | record | event | +====+=====================+==========+========+ | 1 | 2023-03-01 13:17:05 | record03 | Edit | +—-+———————+———-+——–+ | 2 | 2023-03-02 02:57:49 | record02 | Edit | …
What is the best practice to apply cross-validation using TimeSeriesSplit() over dataframe within end-2-end pipeline in python? Question: Let’s say I have dataset within the following pandas dataframe format with a non-standard timestamp column without datetime format as follows: +——–+—–+ |TS_24hrs|count| +——–+—–+ |0 |157 | |1 |334 | |2 |176 | |3 |86 | |4 …
How to create a plot using instead of 8760 hours 365 days and 52 weeks in Python Question: I am new to Python and am having trouble with a small task. I have a time series with 8760 hours and certain values. I have already split the course of the values for one year. But …
pandas calculate returns batween two dates for multiple data points Question: I have a dataframe with the following columns: Date Identifier Price 28/02/2023 BBA LIBOR USD 3 MONTH 55 31/01/2023 BBA LIBOR USD 3 MONTH 63 28/02/2023 BBA LIBOR USD 1 Month 32 31/01/2023 BBA LIBOR USD 1 Month 59 28/02/2023 MSCI All Country World …
