Create empty dataframe in Pandas Last Updated : 28 Jul, 2020 Comments Improve Suggest changes Like Article Like Report The Pandas Dataframe is a structure that has data in the 2D format and labels with it. DataFrames are widely used in data science, machine learning, and other such places. DataFrames are the same as SQL tables or Excel sheets but these are faster in use.Empty DataFrame could be created with the help of pandas.DataFrame() as shown in below example: Syntax: pandas.Dataframe() Return: Return a Dataframe object. Code: Python3 # import pandas library import pandas as pd # create an empty dataframe my_df = pd.DataFrame() # show the dataframe my_df Output: The above output does not show anything lets us insert some heading to the DataFrame. Code: Python3 # import pandas library import pandas as pd # column name list col_names = ['A', 'B', 'C'] # create an empty dataframe # with columns my_df = pd.DataFrame(columns = col_names) # show the dataframe my_df Output: The empty dataframe showing only headings. Now let's Insert some records in a dataframe.Code: Python3 # import pandas library import pandas as pd # create a dataframe my_df = pd.DataFrame({'A': ['114', '345', '157788', '5626'], 'B': ['shirt', 'trousers', 'tie', 'belt'], 'C': [1200, 1500, 600, 352]}) # show the dataframe my_df Output:  Comment More infoAdvertise with us Next Article Create empty dataframe in Pandas Y yash41997 Follow Improve Article Tags : Python Python-pandas Python pandas-dataFrame Practice Tags : python Similar Reads Create a Pandas DataFrame from Lists Converting lists to DataFrames is crucial in data analysis, Pandas enabling you to perform sophisticated data manipulations and analyses with ease. List to Dataframe Example# Simple listdata = [1, 2, 3, 4, 5]# Convert to DataFramedf = pd.DataFrame(data, columns=['Numbers'])Here we will discuss diffe 5 min read Different ways to create Pandas Dataframe It is the most commonly used Pandas object. The pd.DataFrame() function is used to create a DataFrame in Pandas. There are several ways to create a Pandas Dataframe in Python.Example: Creating a DataFrame from a DictionaryPythonimport pandas as pd # initialize data of lists. data = {'Name': ['Tom', 7 min read Create a Pandas DataFrame from List of Dicts Pandas DataFrame is a 2-dimensional labeled data structure with columns of potentially different types. It is generally the most commonly used Pandas object. Pandas DataFrame can be created in multiple ways using Python. Let’s discuss how to create a Pandas DataFrame from the List of Dictionaries. C 3 min read Export Pandas dataframe to a CSV file When working on a Data Science project one of the key tasks is data management which includes data collection, cleaning and storage. Once our data is cleaned and processed it’s essential to save it in a structured format for further analysis or sharing.A CSV (Comma-Separated Values) file is a widely 2 min read Convert JSON to Pandas DataFrame When working with data, it's common to encounter JSON (JavaScript Object Notation) files, which are widely used for storing and exchanging data. Pandas, a powerful data manipulation library in Python, provides a convenient way to convert JSON data into a Pandas data frame. In this article, we'll exp 4 min read Like