I am trying to convert HH:MM into the datetime format. It converts but it adds an unwanted year 1900. I don’t know why? My code: Present output Why I need this? I am plotting HH:MM on the x-axis and value on the y-axis. The x-axis ticks look crazy and we cannot read even after I used plt.gcf().autofmt_xdate(). Answer autofmt_xdate() will
Tag: dataframe
Simplest way to add repeating counter column to pandas dataframe
I have a datafame: What is the shortes / simples way to add a repeating counter column like this?: My feeling tells me, that there must be a one-line solution (maybe a bit longer). But all I can think of would be much longer and complex. How would you approach this? Answer try: OR If you have a custom index
How do I convert pandas.core.series.Series back to a Dataframe following a groupby?
I tried manipulating a Dataframe and the output was (unexpectedly) of a pandas.core.series.Series type while I was aiming for another Dataframe output. For reference, the original Dataframe looked like this – I was hoping to combine all consecutive rows with the same Character value. So, all ‘Leslie Knope’ lines from “Hello” to “I’m gonna put a lot of fun” would
how to deal with multiple lists inside multiple column in df?
I have a df like this and I want to convert it to How can I achieve this? I tried to apply pd.series and I got an output like this I am not sure how to proceed next. Can anyone help please? Answer try via DataFrame() method and apply(): Finally: Now If you print out you will get your expected
Loop through multiple small Pandas dataframes and create summary dataframes based on a single column
I have a bunch of small dataframes each representing a single match in a game. I would like to take these dataframes and consolidate them into a single dataframe for each player without knowing the player’s names ahead of time. The starting dataframes look like this: And I would like to get to a series of frames looking like this
Merging two non-overlapping pandas dataframe columns
I have a pandas dataframe with a pair of columns where, on every row, one cell is a nan and the other is not. It looks like this: Var1 Var2 0 3 nan 1 8 nan 2 nan 6 3 4 nan 4 nan 2 5 nan 6 I would like to merge these two columns in one without the
How do I load a dataframe in Python sklearn?
I did some computations in an IPython Notebook and ended up with a dataframe df which isn’t saved anywhere yet. In the same IPython Notebook, I want to work with this dataframe using sklearn. df is a dataframe with 4 columns: id (string), value(int), rated(bool), score(float). I am trying to determine what influences the score the most just like in
How to extract total year rows and columns from multiindex to create histograms in plotly
How do I create dataframes showing daily data for each year to create histograms in plotly? I want my output for 2019 data frame to have all of 2019 transactions and my other dataframe to have all of 2020 transactions Answer Try with
Remove rows from dataframe based on cervine string list of values
I am trying to remove rows from a dataframe based on multiple conditions, so I defined two lists of the keywords that I want to check before the row is deleted. the condition is when it matches the first list delete unless it contains one of the keywords in the second list.Sample Input and expected Output. INPUT AND OUTPUT Answer
pandas data frame, group by multiple cols and put other columns’ contents in one
The goal is to organize the data based on multiple columns and put contents of other columns in one cell, for example, df: To organize the table based on name/type/link, expect to get: I know it is possible to organize the data stream based on multiple columns, But I don’t know how to deal with the other two columns and