I have two dfs AVERAGE_CALL_DURATION AVERAGE_DURATION CHANGE_OF_DETAILS 267 298 0 0 421 609.33 0.33 330 334 0 0 240.5 666.5 0 628 713 0 0 and AVERAGE_CALL_DURATION AVERAGE_DURATION CHANGE_OF_DETAILS -5.93 -4.95 0.90 593.50 595.70 1.00 I want to return 1 if the xx column contains the range within NoC_c (where column names are the same I can do this for
Tag: pandas
ValueError: Invalid fill method. Expecting pad (ffill) or backfill (bfill). Got nearest
I have this df: And when I try to run this interpolation: pmms_df.interpolate(method = ‘nearest’, inplace = True) I get ValueError: Invalid fill method. Expecting pad (ffill) or backfill (bfill). Got nearest I read in this post that pandas interpolate doesn’t do well with the time columns, so I tried this: pmms_df[[‘U.S. 30 yr FRM’, ‘U.S. 15 yr FRM’]].interpolate(method =
Is there any python way to repeat values of a row combining them in a column with a list type?
I have two dataframes, the first is this one, created with the following code: The second one is the following: What I need to do is to add a column to the second data frame that contains lists of values taken from the first data frame. I will show it and then explain it with words: The lists should contain
How to access multiple CSV files that share the same name from multiple folders from a zip file
I have a zip file (stored locally) with multiple folders in it. In each folder are a few CSV files. I need to only access 1 particular CSV from each folder. The CSV’s I am trying to access from each folder all share the same name, but I cannot figure out how to access a particular file from each folder,
Python Limit time to run pandas read_html
I am trying to limit the time for running dfs = pd.read_html(str(response.text)). Once it runs for more than 5 seconds, it will stop running for this url and move to running the next url. I did not find out timeout attribute in pd.readhtml. So how can I do that? Answer I’m not certain what the issue is, but pandas seems
DataFrame from list of string dicts
So I have a list where each entry looks something like this: I am trying to get a dataframe that looks like this But I’m having trouble converting the format into something that can be read into a DataFrame. I know that pandas should automatically convert dicts into dataframes, but since my list elements are surrounded by quotes, it’s getting
Using one column values as index to list type values in another in pandas
We have data representing temperature forecast for every 3 hours period from the moment. We also know number of 3 hour periods after which the weather is needed. So, we have dataframe: We need to create column with particular element from the list in ‘T_forecast’ columns.The result should be: I can get it for particular value, with code: But I
Alternating column values
I am working on a project where my dataset looks like bellow: Origin Destination Num_Trips Hamburg Frankfurt 2 Hamburg Cologne 1 Cologne Hamburg 3 Frankfurt Hamburg 5 I am interested only on one way either “Hamburg – Frankfurt” or “Frankfurt – Hamburg” and add them as number of trips made between this two locations. How can i do this in
Count frequencies (unique rows) from a pandas list type column
I have a dataframe (df) like this: And, I have list like this: For each element in l, I want to count the unique rows they appear in df. But I’m not getting the part where I can check if the value exists in the list-column of the dataframe. Anyway I can fix this? Or is there a more cleaner/efficient
Read CSV File in Python: Syntax error near unexpected token `(‘
The error I get is: bash: syntax error near unexpected token `(‘ When I switch it to [] is get: I’m unsure if I’m missing code or entering it incorrectly. Answer You’re trying to run python in the shell instead of in python. Within the shell enter py, python or python3. From there, do your normal python commands: Produces