Code :- client.datapoints.insert_dataframe(df, dropna=True) Error:-DataFrame index must be `pd.DatetimeIndex`, got: <class 'pandas.core.indexes.base.Index'>
I’m creating a new chart “speed” by calculating the absolute values from “velocity” chart. This is one of the exersie from “Cognite Charts” training course. However, the values generated from the “Absolute value” are not correct, for example, in the screenshot below, the vlaue of “Velocity” is -1.5074… but the value of “Speed” is 97.3128 .. instead of 1.5074...
Hi @Stig Harald Gustavsen , I was wondering whether you could help me understand a bit more a couple of time series related to energy consumption for cooling and compression in the first stage compressor , and also if we can see/infer the Barrel of Oil Equivalent (BOE). for instance, I do not understand the diff between this time series: VAL_23-KA-9101-M01_active_power_kW VAL_23-KA-9101-ASP VAL_23-KA-9101-ESP Also, I see that Valhal is powered from shore via a 294 km long DC cable with 78MW capacity from Lista, but the compressor seems to “only” consume 9MW on average - what are the other large energy consumers on Valhal ?many thanks, Alex
I have been looking into many work-orders looking for failures or anomalies, but at this point I’m not sure to take the most of the shared information, as example I’ll take the two following events: The work order 6516382362467974 has the following details available: Description: Exterior leakage - liquid for the main process Shutdown: Revision (full shutdown) Planned Start: 2014-09-11 I also plotted some of the signals from near the planned start, as shown in the below image: I have a few questions about the first work order: It seems that the compressor turned off about two weeks before the planned start time (As the green dotted line shows) is it safe to assume that is discrepancy is because the two-week delay in sharing the data? Is there a set of signals that I can look into for this work-order, I’m assuming that since there is a leakage, the time series related to lube oil could be affected, or maybe the pressure of the compressor. The second work order is 54865032
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