Slightly expanding the Example 1: Merge on Multiple Columns with Different Names, results in the following Python code using Pandas pandas.DataFrame.merge: The resulting output (I’ve added line numbers): Notice the type of a2 and d columns in the resulting df_merge dataframe on lines 24 through 27 have …
Tag: dataframe
How to calculate the Successive Month difference with Groupby in pandas
I have the pandas dataframe, I need to Group by each id and then apply the monthly difference in each id to get monthly frequency number I tried out : Solution : I am expecting the Output dataframe : Answer You can use period objects to calculate the number of monthly periods in between 2 dates: output:
Pandas filtering based on minimum data occurrences across multiple columns
I have a dataframe like this I want those data_fingerprint for where the organisation and country with top 2 counts exists So if see in organization top 2 occurrences are for Tesco,Yahoo and for country we have US,UK . So based on that the output of data_fingerprint should be having What i have tried for orga…
How to loop over unique dates in a pandas dataframe producing new dataframes in each iteration?
I have a dataframe like below and need to create (1) a new dataframe for each unique date and (2) create a new global variable with the date of the new dataframe as the value. This needs to be in a loop. Using the dataframe below, I need to iterate through 3 new dataframes, one for each date value (202107,
Filter pandas dataframe column and replace values using a list condition
I have the following dataframe: And I have this list of possible acceptable values for everyone that has a type of Contingent Workers: I need to find a way to confirm if everyone under the type “Contingent Worker” have an accetpable value in “Job” and, if not (or blank value), replace …
Appending data with unequal data frame dimensions
What is the best way to append data using matching column names from two different data frames with differing dimensions? Scenario: Df1 = 350(rows)x2778(columns) Df2 = 321×2910 Df1 has <2778 columns with the exact same name as <2910 columns in Df2. -It could be 500 columns in each data frame as an …
Pandas: Merge Dataframes Based on Condition but Keep NaN
I have two dataframes, df1 and df2, which I would like to merge on the column ‘id’ where the ‘triggerdate’ from df1 falls between the ‘startdate’ and ‘enddate’ of df2, however, keep the rows where there’s no match. df1: df2: Expected Output: The approach t…
How to write a function to find clients that are gone, boomeranging, new, etc?
I am trying to come up with a dynamic way to check for the existence of a string and report back a few different results: gone_client, boomerang, new_client. If I groupby address_id and my_date, and the pattern is Verizon, Verizon, Comcast, Comcast, the client left Verizon and went to another company. If the …
How to iterate the loop if the condition is not met
I am trying to get the id of respective movie name in that i need to check whether the url is working or not . If not then i need to append the movie name in the empty list print(movie_buff_uuid) if i passed the data2 in the above loop i am getting this error urllib.error.HTTPError: HTTP Error 404: Not Found
Replacing values in pandas dataframe using nested loop based on conditions
I want to replace the first 3 values with 1 by a 0 if the current row value df.iloc[i,0] is 0 by iterating through the dataframe df. After replacing the values the dafaframe iteration should skip the new added value and start from the next index-in the following example from index 7. If the last tow values in…