I’ve DataFrame with 4 columns and want to merge the first 3 columns in a new DataFrame. The data is identical, the order is irrelevant and any duplicates must remain. Desired DataFrame How do I get this done? Answer Here is one way of merging the first three columns with the help of numpy:
Tag: pandas
FutureWarning: The default value of regex will change from True to False in a future version
I’m running below code to clean text Then it returns a warning Could you please elaborate on the reason of this warning? Answer See Pandas 1.2.0 release notes: The default value of regex for Series.str.replace() will change from True to False in a future release. In addition, single character regular ex…
Find values in indexed columns of pandas
Let’s say I have a dataframe like following Now, I want to index all the columns.. indexed_df = df.set_index([‘col1’, ‘col2’, ‘col3’]) How do I search for a particular value in this indexed df Like if i want to search for baz in df I will do How do I do the same thing…
Pandas DataFrame adding two zeros
Hi can some one explain why it adds two 0 0 to my data frame in this function the output looks like Answer You may want to revisit how you are creating the dataframe. Here are some changes for you to consider. I have limited information about what you are doing so my answer is catering to just the code
dropna() got an unexpected keyword argument ‘thresh’
I have a list of column names & want to drop the rows that have more than 1 NaN values but this error occurs: dropna() got an unexpected keyword argument ‘thresh’. My pandas is updated, the version is 1.1.5 Previously I’ve done a little data cleaning, think it caused my df rows to become…
how to split a column based on a character and append the rest of columns with each split
Consider I have a dataframe: First, how do I print all the rows that has “|” in column 1? I am trying the following but it prints all rows of the frame: Second, how do I split the column 1 and column 2 on “|”, so that each split in column 1 gets its corresponding split from column 2 an…
How to create the Numpy array X of shape (2638, 1838) for a dataframe has shape (2638, 1840)?
Hi, can someone please help me with this? What should do if I want to use NumPy to get an array X which has a shape (2638, 1838) while the dataframe has a shape of (2638, 1840)? Here is my code: Answer Conversion to Numpy and back to Pandas, as advised in one of comments to your post, is not
Openpyxl to create dataframe with sheet name and specific cell values?
What I need to do: Open Excel Spreadsheet in Python/Pandas Create df with [name, balance] Example: name balance Jones Ministry 45,408.83 Smith Ministry 38,596.20 Doe Ministry 28,596.20 What I have done so far… Then… I viewed all the sheet names by… And created a dataframe with the ‘nam…
Can I shift specific values in one data column to another column while keeping the other values unchanged?
Here is an example dataset that I have: I want to take all the values that have “1” in them in the Column “C2” and shift them to replace the adjacent values in column “C1”. So the output should look like: Alternatively, I could create a new column with these values replaced…
How do I create a linear regression model for a file that has about 500 columns as y variables? Working with Python
This code manually selects a column from the y table and then joins it to the X table. The program then performs linear regression. Any idea how to do this for every single column from the y table? Answer You can regress multiple y’s on the same X’s at the same time. Something like this should wor…