Could you explain to me why the Properties column was the third column and not the first one? As you can see I insert it as the first in pd.DataFrame, but when I do print(df), it appears as the third column. Answer Try using columns argument to assign the order of columns: This gives:
Tag: dataframe
Merge inside the merge only if the first doesn’t return a match
I have 3 dataframes (df1, df2 & df3), the main one (df1) and two additional ones which contain 1 column amongst others that I want to bring over to the main dataframe. Sample dfs: df1 df2 and df3 I am using the following code: Then for the two empty strings for the “Objective” column I want to…
pandas groupby() and pivot_table() .style.format() from float to currency for specific column
I’ve got a Pandas DataFrame looking like this: yields this result: now doing the same groupby but with an added aggregate like count results in: What I would like to have is a result like this: I tried variations of these: but they only reformatted the sum column Answer What you have is a column MultiIn…
PySpark Data Visualization from String Values in Columns
I have a table which has the information as shown in the table from a Pyspark dataframe I need to perform a data visualization by plotting the number of completed studies each month in a given year. I am of the opinion that each completed (taken from the status column) will be matched against each of the mont…
How to plot colors based on cell values on a timestamp
I have a data which contains 16 columns, from which 1 column is “Time” column and other 15 columns are columns that represent colors. Data looks like this: What I need is to have a plot in which at every timestamp represent these 15 colors. The output should look like this: Any idea how to do this…
Can’t figure out why pandas.concat is creating extra column when concatenating two frames
I’ve been trying to concatenate two sheets while preserving the original indices of both dataframes. However, upon concatenation I can’t seem to get the result to output the way I expect or want. If I use ignore_index = True The old indices are replaced by an index that encompasses both sheets tot…
Comparing Two dataframes of pandas on the basis of condition of two columns
I have two dataframe in which columns are different, And I need to search and the map the data in new file. I am sharing the dataframes and also desired output DF1 DF2 Now I need to a output from above two dataframes. Conditions Need to search Ref.Y in STR2, if available then pick the “Type” for o…
How to delete empty spaces from pandas DataFrame rows until first populated field?
Lets say I imported a really messy data from a PFD and I´m cleaning it. I have something like this: Name Type Date other1 other2 other3 Name1 ” ” Type1 ” Date1 Name2 ” ” ” Type2 Date2 Name3 ” ” Type3 Date3 ” Name4 ” Type4 ” ” Date4 Name5 …
Python Dataframe find closest matching value with a tolerance
I have a data frame consisting of lists as elements. I want to find the closest matching values within a percentage of a given value. My code: Present solution: Expected solution: Answer Idea is get difference with val and then replace to missing values if not match tolerance, last get np.nanargmin which rais…
Transforming data using Python Pandas (or M) in Power Query for PowerBi
I have some data about projects I would like to transform in a way that makes it easier to analyse with PowerBi. The data looks like this: Project Number Project Name Planned Start Date SM1 SM2 SM3 10000 A Apr-21 10 20 30 10001 B Jun-21 40 50 60 10002 C Sep-22 70 80 90 The so called ‘SavingMonths’…