I have a notebook open with about 45 dataframes. I would like to export all of them into a single Excel file with each dataframe being it’s own tab in Excel. Is there an easy way to do this without having to write each tab out manually? Thank you! Answer Please check the link Example: Pandas Excel with multiple dataframes
Tag: pandas
CSV comparison with python multipleindex
I need to compare two CSV files and print out changed, remained same or deleted rows in a third CSV file. First csv file is like this: Second csv file: at the end this is the result i want to get: if a there is a new country added to a siteid then it has status of new. Location can
Rows That Are Included/Contained In a String
I have a “Pandas Data Frame”: There is a bunch of Q&A that explains how to select rows that contain a given substring. But I’m curious about finding how to split rows that are substring of a given string. Unfortunately my datas are huge but suppose we have a column that its entries are single words. For a given sentence
Dataframe’s with strange structure with variables in even columns
I’m a beginner with python in combination with pandas, and I understand the basics. But I received a couple days ago 3 strange datasets in excel. As image below: I want the following result: I did try to loop the columns and create a new dataframe, but got stuck and think I make it unnecessary complex. I can’t get my
How does `s = (iowa_file_data.dtypes == ‘object’)` make `s` a variable of type `Series`
I wrote (copied) a code I get that iowa_file_data is of type dataframe and dtypes is a Series. But how did s become a Series? Does output of (iowa_file_data.dtypes == ‘object’) make a Series? Answer Pandas (and the underlying numpy) use special overloads of __eq__ operators. The goal is that most operation between numpy arrays, dataframes or series still return
AttributeError: ‘numpy.ndarray’ object has no attribute ‘score’ error
I have tried to look for a problem but there is nothing Im seeing wrong here. What could it be? This is for trying binary classification in SVM for the fashion MNIST data set but only classifying 5 and 7. Answer ypred is an array of predicted class labels, so the exception makes sense. What you should do is use
How to filter for columns where the first row (not header) starts with string
I’m trying to filter a dataframe by the first row, but can’t seem to figure out how to do it. Here’s a sample version of the data I’m working with: What I want to do is filter for all columns that start with “Response” in the first non-header row. So in this case, just have the last two columns in
Using Regex to extract Data to different Columns in Pandas
I’m working with the following DataFrame column containing Date |TimeStamp | Name | Message as a string I use the following function to capture the Date. and the following code to capture the rest of the data (TimeStamp | Name | Message) into columns: Is there a workaround to capture and extract all 4 entities together? Please Advise Answer As
How do I create a list as a key of a dictionary and add to the in different parts list?
I have a for loop that runs through a CSV file and grabs certain elements and creates a dictionary based on two variables. Code: I for example during the first iteration of the for loop, sf1_ticker = ‘AAPL’ and sf1_date = ‘2020/03/01’ and the next time around, sf1_ticker = ‘AAPL’ and sf1_date = ‘2020/06/01’, how do I make the key
convert website table to pandas df (beautifulsoup doesn’t recognize table)
I want to convert a website table to pandas df, but BeautifulSoup doesn’t recognize the table (snipped image below). Below is the code I tried with no luck. I also tried the code below with no luck Answer Your table is not in the <table> tag but in multiple <span> tags. You can parse these to a dataframe like so: