I have two columns of data in a DataFrame containing a date and a time. Both start as strings. I want them to end up merged as a single column in datetime format. The head of the DataFrame is: They are in a DF called df_flattened and has about 20k rows and the code I am currently using is: However,
Tag: pandas
How can I translate If-Else code to Python?
I have a huge If-Else code that I write in Tableau The compiler simply takes a lot of time to execute this code so I want to move it onto Python. My df: I have a VLOOKUP table that Interprets these values to provide an output My If-Else code simply put is: Where df_output is the resulting dataframe e.g. for
How to prevent data from being recycled when using pd.merge_asof in Python
I am looking to join two data frames using the pd.merge_asof function. This function allows me to match data on a unique id and/or a nearest key. In this example, I am matching on the id as well as the nearest date that is less than or equal to the date in df1. Is there a way to prevent the
Compute time difference in pandas based on conditions [closed]
Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 1 year ago. Improve this question I have a following problem. My data has this structure: I would like to calculate difference …
Extract row from a data frame and make it a new data frame
I have a data frame like this Now, I need first row of data frame and make it another data frame like Answer Use DataFrame.iloc like: For Series:
Panda dataframe of distribution of particles: group by ID and find the half flux and the half flux radius
I am using Panda dataframe; I have a distribution of particles, their distance from the center of the distribution, and the associated fluxes. I want to find the total flux enclosed in the “half flux radius” (or “half light radius”), which is the radius that encloses half of the flux, …
Flatting a JSON file into Pandas Dataframe in Python
I have the json in this format: I want it to be in a dataframe format where each of the three field names are separate rows. Where one row has a column(e.g “format”) where others are blank should be assumed to be NULL. I have tried to use the flatten_json function which I found on here, but doesn&…
Skipping variable number of C-style comment lines when using pandas read_table
The pandas read_table() function enables us to read *.tab file and the parameter skiprow provides flexible ways to retrieve the data. However, I’m in trouble when I need to read *.tab file in a loop but the number of the rows need to skip is random. For example, the contents need to skip are started wit…
AttributeError: ‘AnimalShelter’ object has no attribute ‘database’
I am not understanding why I am receiving this error as my .py file indicates that database is in fact an attribute. I have made sure that everything is indented as it should be and made sure that the correct .py is notated when importing AnimalShelter. I am following a walkthrough for this for class and the …
pandas join tables on two columns without ordering of values
I would like to achieve what it’s described here: stackoverflow question, but only using standard pandas. I have two dataframes: Fist Second: I want to join the two dataframes such that my final dataframe is identical to the first one, but it has also the book_count column with the corresponding values …