I want my bot to be able to say a message, mention a user, then respond with a random message, all in the same line, as opposed to having it in 3 separate lines. This was my previous method: However, this makes them all appear in the same line, but I can’t figure out how to merge them into a
Tag: merge
Merging 2 different DataFrame with different length
I have two DataFrame Consists of time and price columns. I want to create a new DataFrame df3 as the length of df2, and I also want to put df1[‘price’] in it like below Where price1 shows the mean of price1 values for the corresponding time2 values like below I’m sorry if it’s unclear, but could you advise me on
Python Pandas Dataframe enrichment (from another)
I would like to enrich a dataframe (df1) from another(df2) by adding a new column in df1 and enriching it based on what I find in df2. The size of the 2 df is different as well as the name of the columns. I would like to do like a Vlookup function in Excel. This what I’ve done but I
Merging time series data so that column values are fitted into dictionaries
I have two time-series data frames that track the same certain countries throughout the same amount of time, but the variables they track for each observation represent vastly different things. For example, the first data frame is like so: Tracking variable ‘A’: Country 01/01/2020 01/02/2020 01/03/2020 … 04/25/2021 AFG 0 0 1 … 5000 CHN 0 20 50 … 0
pandas: Match data by months and days
How can I match data only by months and dates and not by year: 1. Data 2. Desired output Answer Convert Time column to datetimes and then to custom format MM/DD/ and then aggregate: If need aggregate sum, mean if duplicates use:
Python merging csv files problem coping and dupplicated cells-parts
I have the following two CSV files: file1.csv and the second file2.csv and i would like to have them merged like this: my code that I wrote is: but when I do this I get for each calc_1 point the whole dataset copied like this: what am I doing wrong? Answer Here is a solution you can try out, using
combine multiple lines into one column
Here is my dataframe following the merging of two separate dataframes. In the [order] column, orders 2, 4 and 5, have multiple corresponding amounts in the [value] column. This is replicated elsewhere in the dataframe at random points. What can I do to merge these amounts so that I am left with one row in the dataframe per order: Essentially,
Python some for loops one action
I have three for loops with one action. How to merge this loops in one? tried: but this trick working only with ‘if’ loops Answer I’d suggest itertools.chain
How to merge two dataframes where the second one has different column names and length?
I have two dataframes. The first one is just a column of daily datetime, whereas the second one has both dates and data. This is an example: What I want to do is to merge df1 and df2 to get a dataframe (dataset) where: when the data exist it takes the date position; when it doesn’t exist, it just gets
Uncommon rows based on a column in pandas
Suppose I have two dataframes: and I want to use the second df as reference and drop those rows that exist in df2 from df1, so the result would be I tried: but this gives me the following: Answer Use Series.isin with inverted mask by ~ in boolean indexing, working well if need test only one column: If need test