I have a big dataset. It’s about news reading. I’m trying to clean it. I created a checklist of cities that I want to keep (the set has all the cities). How can I drop the rows based on that checklist? For example, I have a checklist (as a list) that contains all the french cities. How can I drop
Tag: pandas
Cumulative of last 12 months from latest communication date?
I’m looking at counting the number of interactions grouped by ID in the last 12 months for each unique ID. The count starts from the latest date to the last one grouped by ID. Output is something like the below. How can I achieve this in Pandas? Any function that would count the months based on the dates from the
Draw longest possible vertical line between two curves in seaborn
I currently have a plot like this (consider that data is the dataframe I pasted at the very bottom): Which produces: Now, I want to know how can I annotate a line in this plot, such that it is located between the curves, at the x-Axis value where the distance between curves are maximized. I would also need to annotate
Changing plot title through loop
I am new to python and need your help. I have several dataframes. Each dataframe is for one day. So I am using for loop to plot for all dataframe. For each plot I want to add the date in my title. Can anyone help me. I have created a variable ‘date_created and assigned the dates which I want. I
Print out times that are free and save them in dictionary
I am working on a timetable system and need all the free slots (where the student has no lectures). Right now it prints the entire timetable out. I just need to store all the free slots somewhere. They are showing up as “NaN” on the time table. here is my code. Expected output would be all the free times printing
Adding arrows to mpf finance plots
I am trying to add an arrow on a given date and price to mpf plot. To do this i have the following code: But it is producing the following error: Could you please advise how can i resolve this. Answer If your ultimate goal is to add an arrow to the title of the question, you can add it
Deleting consecutive rows in a pandas dataframe with the same value
How can I delete only the three consecutive rows in a pandas dataframe that have the same value (in the example below, this would be the integer “4”). Consider the following code: I would like to get the following result as output with the three consecutive rows containing the value “4” being removed: Answer first get a group each time
Pandas merging/joining tables with multiple key columns and duplicating rows where necessary
I have several tables that contain lab results, with a ‘master’ table of sample data with things like a description. The results tables are also broken down by specimen (sub-samples). They contain multiple results columns – I’m just showing one here. I want to combine all the results tables into one dataframe, like this: I currently have a solution for
Timespan for Elevated Access to Historical Twitter Data
I have a developer account as an academic and my profile page on twitter has Elevated on top of it, but when I use Tweepy to access the tweets, it only scrapes tweets from 7 days ago. How can I extend my access up to 2006? This is my code: Answer The Search All endpoint is available in Twitter API
index string has no method of isin()
I have a dataframe with index is string name like ‘apple’ etc. Now I have a list name_list=[‘apple’,’orange’,’tomato’] I’d like to filter dataframe rows by selecting rows with index is in the above list then I got an error of Answer Use df.index.isin, not df.index.str.isin: