My dataFrame has the following column, which shows pressure and corresponding volume measured for different samples, e.g. s_1p: pressure for sample-1 & s1_nv: corresponding volume for the same sample. I want to show all volume columns on the x-axis and pressure on the y-axis of the same plot (not sub-plot…
Tag: dataframe
Simple example of Pandas ExtensionArray
It seems to me that Pandas ExtensionArrays would be one of the cases where a simple example to get one started would really help. However, I have not found a simple enough example anywhere. Creating an ExtensionArray To create an ExtensionArray, you need to Create an ExtensionDtype and register it Create an E…
combine pd.loc and pd.iloc to assign value
My input: I try assign new value based on other column in this way it work: dd.loc[dd.iloc[:,1]==0,[‘result_’+cv_detail[0]] ] = ‘Other’ OR dd.loc[dd.sum_result_ICV == 0, “result_ICV”] = ‘Other’ But this code doesn’t, code make more columns, with assign new…
How to merge 2 dataframe by date and time in python pandas?
I want to match certain parts of 2 dataframes by date and time and merge them into one of them. But my code is not working. I have 2 dataframe df and df2. First is df and second is df2. What can I do for this? I want to add Weather, Temp, Feels and after that to df. here is
Adding a value to a column in a DataFrame depending on a value in another column
I have a DataFrame with multiple columns. The column weighting_factor is empty. Now I want to append values to that column row by row, if the value of index_1 lies between specific integer boarders. I tried whereas wf_tooold is a float and oldest_max is an int. The error that I get is What would be a good way…
How to read 24:00 hour?
I have a csv file with 24:00 hour instead of 00:00 and try to read it with pandas. I found solution and try to adopt it. The problem is, I get an error and don’t know how to fix it. Can someone help me? My csv: The code I got from the link above adopted to my case: The error
If there is a second column present then populate second column values, else populate first column values in Dataframe
I have a dataframe as seen below: I need two columns now, column A and Column B. Conditions summarized: The required dataframe should be as follows: Answer Try: The !=” will work if you truly have nothing in the cell (as opposed to a NaN etc.). If you have actual NaN values use:
Trying to stack several groups of columns into multiple target columns by name
I have the original dataframe like that which contains 1772 columns and 130 rows. I would like to stack them into multiple target columns. id AA_F1R1 BB_F1R1 AA_F1R2 BB_F1R2 … AA_F2R1 BB_F2R2 … AA_F7R25 BB_F7R25 001 5 xy xx xx zy 1 4 xx 002 6 zzz yyy zzz xw 2 zzz 3 zzz I found two different soluti…
Remove strings and special characters from multiple columns
I want to remove strings and special characters from multiple columns (which contain nan values). I only want the numbers to be present. Below is one of my columns. Any help will be appreciated! Expected outcome: Answer Start by filling NaN values by empty string, then extract the values by regex, then fill t…
How to get all last rows at second level in MultiIndex DataFrame whose second level has variable length
I have this dataframe: And I want to keep all the last second level rows, meaning that: For thread_id==0 I want to keep the row message_id_in_thread==1 For thread_id==1 I want to keep the row message_id_in_thread==2 For thread_id==2 I want to keep the row message_id_in_thread==1 This can easily be achieved by…