df = pd.DataFrame() data = ['some kind of data here' --> I have checked the type already, and it is a dataframe] df.append(data) The result looks like this: Empty DataFrame Columns: [] Index: [] Here’s the code you’ll need to run. Obinna I.-December 21st, 2019 at 6:22 am none Comment author #28567 on Python: Add column to dataframe in Pandas ( based on other column or list or default value) by thispointer.com Thank you so much for such a powerful blog. I'm new to pandas and trying to figure out how to add multiple columns to pandas simultaneously. Output: Using reindex() method You can use DataFrame.reindex() method to create new columns in python. In this article, I will use examples to show you how to add columns to a dataframe in Pandas. Method #1: Create a complete empty DataFrame without any column name or indices and then appending columns one by one to it. grades["Avg"] ="" Here’s our DataFrame now. Adding multiple columns: I’d suggest using the .reindex(columns=[]) method of pandas to add the new columns to the dataframe’s column index. Note: many of these options have already been covered in other answers: Add multiple columns to DataFrame and set them equal to an existing column, Is it possible to add several columns at once to a pandas DataFrame?, Add multiple empty columns to pandas DataFrame Let’s call it Avg. grades.head() DataFrame with Empty column added. Pandas Dataframe.sum() method – Tutorial & Examples; Pandas: Get sum of column values in a Dataframe; Pandas : Loop or Iterate over all or certain columns of a dataframe; Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python; Pandas : Get unique values in columns of a Dataframe in Python Create a Dataframe As usual let's start by creating a dataframe. There is more than one way of adding columns to a Pandas dataframe, let’s review the main approaches. Here’s the grades DataFrame: Now let us assume that we want to add an empty Average column. df['C'] = np.nan. We can also add a column with NaN values. Using assignment You can use assignment to create new columns in python. Any help here is appreciated. Adding a single column: Just assign empty values to the new columns, e.g. df['C'] = np.nan Adding multiple columns: I’d suggest using the .reindex(columns=[...]) method of pandas to add the new columns to the dataframe’s column index. I have tried to do this, but keep getting an empty dataframe at the end. To add to DSM’s answer and building on this associated question, I’d split the approach into two cases: Adding a single column: Just assign empty values to the new columns, e.g. This also works for adding multiple new rows. Ideally I would like to do this in one step rather than multiple repeated steps. There are multiple ways in which we can do this task. Solution 2: You could use assign with a dict of column names and values. Previous Next In this post, we will see how to add empty column to DataFrame pandas. Let’s discuss how to create an empty DataFrame and append rows & columns to it in Pandas. There are multiple ways to add empty column to DataFrame. Create a simple dataframe with a dictionary of lists, and column names: name, age, city, country. e.g. # Creating simple dataframe # … To add to DSM’s answer and building on this associated question, I’d split the approach into two cases:. How To Add New Column to Pandas Dataframe using loc: Example 2 . ... With Python 3.6+, now one can create multiple new columns using the same assign statement so that one of the new columns uses another newly created column within the same assign statement. 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