I have data I saved in advance in the local file. When I want to do data exploration and want to retrieve a certain time, I want to retrieve the data that I have already stored in csv file from the local file. If there is data is within the time frame not in local csv, I retrieve it from the database and add it in the local file. My problem is if I e.g. get_data(1-2-204 – 3-02-204) immediately retrieves the cached data even though the times from 2-2 to 3-02 are missing. I have been working on it for a week, but I can’t figure out the problem. I think it has to do with the order of the if-statements. You do not have to look at the methods for saving and retrieve the query. That works. I have only the problems, which condition I need to use

Trying to select rows for which the index label is a date in January 2016:

I have the following data:

I have encountered an issue while using the pd.to_datetime() function in pandas. When I try to convert the “datetime” column in my DataFrame to a datetime64[ns] dtype using the .loc method, the dtype remains as an object. However, using the direct assignment with square brackets, the conversion works correctly, resulting in the datetime64[ns] dtype as expected.

I am simply trying to load some .txt files, which contain a date and time column that looks like the image below. It’s just four columns, whitespace delimited, and rather straightforward. The time column has values like “2024-05-10T00:00:00Z”, “2024-05-10T00:01:00Z”, and so on, increasing minute by minute.

I have two columns which has Date created and Date modified. Is there a way for reading the dates and find difference between them in days.. eg dataset is as follows:

model = PanelOLS(panel_data[‘Fiyat’], panel_data.drop(columns=[‘Fiyat’])) result = model.fit() and Bağımlı değişken: ‘Fiyat’ sütunu y = panel_data[‘Fiyat’] Bağımsız değişkenler: ‘Fiyat’ sütunu dışındaki tüm sütunlar X = panel_data.drop(columns=[‘Fiyat’]) PanelOLS modelini oluşturma model = PanelOLS(y, X) Modeli uygulama ve sonuçları elde etme result = model.fit() I keep getting this error with these codes: ValueError Traceback (most recent call last) […]

One of my datasets, I have to do a monthly analysis. On my december 2023 csv file, there is a datetime column. However,one date (December 8), is not on datetime format. Instead, for some reason, random integers and decimals just fill it. Take this for Example:

df[‘Date’]= pd.to_datetime(df[‘Date’])