How do you give a dataframe name dynamically in python?
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Improve Article Save Article View Discussion Improve Article Save Article Given a string input, our task is to write a Python program to create a variable from that input (as a variable name) and assign it to some value. Below are the methods to create dynamically named variables from user input. Using globals() method to create dynamically named variablesHere we are using the globals() method for creating a dynamically named variable and later assigning it some value, then finally printing its value. Python3
Output: 2020 Using locals() method to create dynamically named variablesHere we are using the locals() method for creating dynamically named variable and later assigning it some value, then finally printing its value. Python3
Output: 2020 Using exec()method to create dynamically named variablesHere we are using the exec() method for creating dynamically named variable and later assigning it some value, then finally printing its value. Python3
Output: 2020 Using vars()method to create dynamically named variablesHere we are using the vars() method for creating dynamically named variable and later assigning it some value, then finally printing its value. Python3
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Python Data Preprocessing In this example both the values in the columns and the column names are created dynamically. Here we dynamically create three columns that multiply the column A in our dataframe by each of the numbers in the list "multipliers". multipliers = [2,3,4]
for i in multipliers:
df[f'times_{i}'] = df['A'] * i
df.columns
>> Index(['A', 'B', 'times_2', 'times_3', 'times_4'], dtype='object')By detro - Last Updated March 29, 2022, 7:34 p.m. Did you find this snippet useful? Sign up to bookmark this in your snippet library COMMENTS RELATED SNIPPETS Find Snippets by Language Find Snippets by Use Question :Create new dataframe in pandas with dynamic names also add new column I have a dataframe df Added a new column Now I want to write a function or macro which will do date comparasion, create a new dataframe also add a new column to dataframe. I tried like this but seems I am going wrong: Now when I call
test function I want a new dataframe should get created named as The output of new dataframe is: df_new_201612 Answer #1:Creating variables with dynamic names is typically a bad practice. I think the best solution for your problem is to store your dataframes into a dictionary and dynamically generate the name of the key to access each dataframe. How do you name a DataFrame dynamically?Here is how we can do that:. Create an empty Dictionary. This will hold our key-value pairs from the For Loop.. Start a For Loop using files as our iterator.. Assign a name to the key. In my case, I am using the name of the file.. Read the DataFrame using pd. read_csv.. Add the key-value pair to the dictionary.. How do you assign a name to a DataFrame in Python?To rename the columns of this DataFrame , we can use the rename() method which takes:. A dictionary as the columns argument containing the mapping of original column names to the new column names as a key-value pairs.. A boolean value as the inplace argument, which if set to True will make changes on the original Dataframe.. How do you get a DataFrame feature name?You can get the Pandas DataFrame Column Names by using DataFrame. columns. values method and to get it as a list use tolist(). Each column in a Pandas DataFrame has a label/name that specifies what type of value it holds/represents.
How do I rename an entire data frame?It's quite simple to rename a DataFrame column name in Pandas. All that you need to do is to use the rename() method and pass the column name that you want to change and the new column name.
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