I have a dataframe that I would like to parse to individual files based on unique strings in a column “names.” I can do this with a simple function like: The caveat being that I would like write out these files with conditional formatting. I’ve been able to achieve the desired formatting using ExcelWriter in the following block: Is there
How to use the WebDriverWait() to access the value of the next element having the same class names in selenium python
I am trying to access the values of both the fields Year and Quarter from this particular site. With the help from one member of StackOverflow, I was able to implement the code for the year part, now if I want to access the quarter part so how can I access the same. Below is the implementation so far. Any
Background with range on seaborn based on two columns
I am trying to add to my several line plots a background that shows a range from value x (column “Min”) to value y (column “Max”) for each year. My dataset looks like that: I used the following code: I would like something like this with the range being my “Min” and “Max” by year. Is it possible to do
Upload large file using multiple connections/threads to an SFTP server with Python Paramiko
I am trying to SFTP a file to a remote server in chunks using threads and the python paramiko library. It opens a local file and sftp chunks to the remote server in different threads. I am basically following this solution which uses the same approach to download large file over SFTP. I would like to send large files instead.
Filter DataFrame based on partial matching string from list
I have a dataframe with lots of categories. Here list of some of them I want to filter dataframe based on string matching. I don’t want to pass entire row name, i wanna pass something like [‘Совкомбанк’, ‘Тинькофф’]. The expecting result of this is : I tried df = df[df[column_name].isin(values)] but i didn’t work. Answer .isin will check for exact
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I have a huge data-frame (>20m rows) with each row containing a timestamp and a numeric variable X. I want to assign a new column where for each row the value in this new column is the average of X in the previous rows within a specified time window e.g the average of all rows with time stamps no more
Using the items of a df as a header of a diffeerent dataframe
I have 2 dataframes and df2= I want to use df1 as a header of df2 so that df1 is either the header of the columns or the first raw. i have multiple columns so it will not work to do df2.columns=[“_A1-Site_0_norm”, “_A1-Site_1_norm”] I thought of making a list of all the items present in the df1 to the use
octal to string – trouble
I just cannot seem to understand the solution to this problem given in an online course. I found the actual code that solves it, but I still don’t understand it. Could anyone explain to me a bit more in detail why this does what it does? I would be extremely grateful. The permissions of a file in a Linux system
How to hide `delta_grad == 0.0` warning in scipy.optimize.minimize?
I have a loop that executes several hundred optimizations using scipy.optimize.minimize. Unfortunately, I keep getting this annoying warning: Because I am running hundreds of optimizations, this warning shows up dozens and dozens of times during the loop, and it just clutters the console and obscures the rest of my program’s output. Is there a way to either Check if this
Assign custom confidence to dense cloud points in Metashape
I’m trying to create a script where I change the confidence value of all points in the dense cloud to 100%. I have been looking in Agisoft’s Metashape Python Reference Python API v1.6.0 and on Agisoft’s forums but I cannot find anything that would make me believe that this is even possible. Is it possible to edit this value? And