I have a dataframe (df) that looks like this (highly simplified): The ‘VALUE’ column contains a variable number of rows with identical values. I am trying to output a series of csv files that contain all of the rows that contain a ‘VALUE’ length == 2, ==3 etc. For example: I can get the desired output of one length value
Transpose 3 column excel with K:V into column Pandas
I have a 3 column excel file I’m reading into pandas with basically k:v pairs in columns I need to not only tie the information in unnamed:1 & unnamed:2 to the unique animal ID as this is how I will track the animal but also transpose these columns where everything to the left of the “:” is the column header
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I have a dataframe like this: timestamp value id. 2020-12-16 25 1 2020-12-17 45 1 2020-12-31 40 1 2021-01-31 37 1 2020-12-15 12 2 2020-12-16 78. 2. I want to create a new column outcome which takes a value yes is the id doesn’t have any entry for the last 25 days. For e.g., this is the expected output timestamp
Why is my attempt to iterate through a list of lists and update dictionary values resulting in unchanged dictionary?
I want to iterate through a list of lists and if an instance in the list matches a key in a dictionary, add 1 to that dictionary key value. However, when I execute my code it returns the dictionary with no changes to the values. Thank you for your time & help. I searched for a similar question but did
Include authorization in a oauth2session for requests-oauthlib
From reading various documents it seems like authorization is optionally required by oauth2 providers for refresh token requests. I’m working with the FitBit API that appears to require authorization. I’m following the instructions here for refreshing a token with requests-oauthlib: https://requests-oauthlib.readthedocs.io/en/latest/oauth2_workflow.html#refreshing-tokens Some setup code (not what I am using, but you get the idea: However, with this call I’m getting:
PyQt5: Python crashes with SIGSEGV *sometimes* when sending pixmap via a signal from another thread
Background and Issue I am trying to process streaming data from a camera. Python keeps crashing with this message though: The crash happens sometimes while emitting the signal containing an image. My code, shown below, follows this process: A QObject named CameraThread is instantiated within the GUI and is run by a QThread. CameraThread instantiates a class IngestManager and gives
extract new columns and fill values based on categorical values data frame in python
I have a data frame where one column is categorical strings and the next one is the values corresponding to it: I want to create new columns based on df.status column, and fill empty ones with np.nan, requires pivot on multiple columns: I am looking for an efficient solution that works for large data frames. Answer You want:
Check if Dataframe is empty and print results
I would like to go over an excel file with different stock symbols. How can I check after reading the stocks values (Open,Close,High,Low,Volume) in a dataframe with yahoo, if the dataframe is empty? In this excel list are more than 700 Symbols and some times yahoo have no data for some symbols. So I would like to exclude this symbols,
How to divide one column by another where one dataframe’s column value corresponds to another dataframe’s column’s value in Python Pandas?
Consider the following data frames in Python Pandas: DataframeA ColA ColB ColC 1 dog 439 1 cat 932 1 frog 932 2 dog 2122 2 cat 454 2 frog 773 3 dog 9223 3 cat 3012 3 frog 898 DataframeB ColD ColE 1 101 2 314 3 124 To note, ColB just repeats it’s string values as ColA iterates upwards.
Blueprints in Flask vs Apps in Django [closed]
Closed. This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 2 years ago. Improve this question I am new to Flask and noticed something called Blueprint in Flask. I searched it and now I am using it