Thank you very much for your time and help. I have a pandas series named Lon_count, now I want to write it to existing column named stationLon in a csv file read by filepath. I tried and get KeyError: “None of [Index([‘s’, ‘t’, ‘a’, ‘t’, ‘i’, &…
Tag: pandas
Pandas Merge to Determine if Value exists
I have checklist form data coming into a spreadsheet that I am trying to determine if a specific value was not checked and provide info based off that. My first thought was to have a master list/df where all the form values are then do a left/right merge on each response to determine values that weren’t…
Convert Date to pandas from ISO 8601 format
I have a date it look like this how can i convert it to someting like this Answer If you want to do this using Pandas, you can use pandas to convert iso date to datetime object then strftime to convert timestamp into string format to apply it to a series of dates of DataFrame column you can replace iso_date
Create multiple columns at once based off of existing columns
I have this dataframe df: I want to create two new columns at once which are simply the character length of the existing two columns. The result should look like this: I’ve tried to use for comprehension to generate the lists at once, such as so: but I get I would like to do more complex operations and …
Read nested JSON in a cell with Pandas
I recovered a list of ISO 3166-2 countries and regions in this Github repository. I managed to have a first look of the regions using the following code: Which gives the following output: name divisions Afghanistan {‘AF-BDS’: ‘Badakhshān’, ‘AF-BDG’: ‘Bādghīs’, &…
Fastest way to get all first-matched rows given a sequence of column values in Pandas
Say I have a Pandas dataframe with 10 rows and 2 columns. Now that I am given a sequence of ‘col1’ values in a numpy array： I want to find the rows that have the first occurence of 3, 1 and 2 in ‘col1’, and then get the corresponding ‘col2’ values in order. Right now I am u…
Error with shape of passed value to pandas dataframe
I parsed a json object obtained from hidden api on website; after some trouble i get finally what i wanted but got an error creatinf the dataframe. Here’s the code: `The error i got is: “Shape of passed values is (13, 1), indices imply (13, 13)” In fact if i run for example odds1 i got this:…
Using np.select to change mix data types (int and str) in a Pandas column
I’ve been trying to map a column from my df into 4 categories (binning) but, the column contains mixed values in it: int and str, it looks something like this: The categories I’ve been tring to change them to: This has been the way I’ve been trying to solve this: But, I get this error: Value…
How to extract key value from deep dictionary in pandas || Python || dataframe
I am making a request call and storing data into JSON, and from there I am loading JSON to pandas DataFrame, good thing is it works like magic. However, unfortunately, I have deep dictionaries available in a few columns in the data frame. I am unable to extract key values from it. I am attaching the CSV file …
Pandas sum of count per percentile of rows
Here is a link to a working example on Google Colaboratory. I have a dataset that represents the reviews (between 0.0 to 10.0) that users have left on various books. It looks like this: The first rows have 1 review while the last ones have thousands. I want to see the distribution of the reviews across the us…