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 ..
Supposed we have a df with a sum() value in the below DataFrame, thanks so much for @jezrael ‘s answer here, but we have many different df like below DataFrame with different columns df.columns=[‘value_a’,’value_b’,’name’,’up_or_down’,’difference’] df.loc[‘sum’] = df[[‘value_a’,’value_b’,’difference’]].sum() df1 = df[[‘value_a’,’value_b’,’difference’]].sum().to_frame().T df = pd.concat([df1, df], ignore_index=True) df value_a value_b name up_or_down difference project_name 27.56 25.04 -1.31 ..
Currently, I create separate df and finally concat these df to create a single dataframe. import numpy as np import pandas as pd blist_l=[‘a’,’b’,’c’,’d’,’e’] nlabel_l=[‘dis_label’] rt_l=[‘re’,’rq’] N=100 nlist=[np.random.rand(5) for _ in range(N)] nlabel=np.random.randint(3,size=N) rt=np.random.rand(N,2) df1=pd.DataFrame(nlist,columns=blist_l) df2=pd.DataFrame(nlabel,columns=nlabel_l) df3=pd.DataFrame(rt,columns=rt_l) df=pd.concat([df2,df3,df1],axis=1) Is there elegant or one liner to create a df from a list of array, and, multiple ..
I have a dataframe df containing 40 millions of rows. There is a column named group_id to specific the group identifier of a row. There is a total of 2000 groups. I would like to label randomly elements in each group and add this information to a column batch of df. For example, if group ..
I have a time series as a dataframe. The first column is the week number, the second are values for that week. The first week (22) and the last week (48), are the lower and upper bounds of the time series. Some weeks are missing, for example, there is no week 27 and 28. I ..
I have this sample of a data frame showing population over the years. 1 I want to remove the row labels ‘Country Code’ altogether and have the next column, ‘Country Name’, as the row labels instead. How can I do this? Please let me know if you need more information or anything is not clear. ..
I have in my data information about place as full post code for example CZ25145. I would like to create new column for this with value CZ. How to do this? I have this: import pandas as pd df = pd.DataFrame({ ‘CODE_LOAD_PLACE’ : [‘PL43100’, ‘CZ25905’, ‘DE29333’, ‘DE29384’, ‘SK92832’] },) I would like to get it ..
I seem to be unable to figure out how to append values from one excel file to another one. I have tried append mode numerous times but it fails each time due to encoding errors. I have sought solutions but none has turned out to solve my problem. I have two excel files which have ..
I have a data frame like this import pandas as pd import numpy as np df = pd.DataFrame(np.array([[0,2,5,3], [3,1,4,2], [1,3,5,2], [5,1,3,4], [4,2,5,1], [2,3,5,1]])) df Now, I need first row of data frame and make it another data frame like row 0 0 1 2 2 5 3 3 Source: Python..
I have a dataframe "expeditions" where there are 3 columns ("basecamp_date", "highpoint_date" and "termination_date"). I would like to check that the basecamp date is before the highpoint date and before the termination date because I noticed that there are rows where this is not the case (see picture) Do you have any idea what I ..
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