Print Panda Dataframe


Pandas DataFrame is nothing but an in-memory representation of an excel sheet via Python programming language. , the new column always has the same length as the DataFrame). 166658 2 -0. In this guide, I'll show you two methods to convert a string into an integer in Pandas DataFrame. Pandas describe method plays a very critical role to understand data distribution of each column. We can combine Pandas with Beautifulsoup to quickly get data from a webpage. Note about Pandas DataFrames/Series A DataFrame is a collection of Series ; The DataFrame is the way Pandas represents a table, and Series is the data-structure Pandas use to represent a column. Click a link View as Array/View as DataFrame to the right. DataFrame (data=None, index=None, columns=None, dtype=None, copy=False) [source] ¶ Two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). A data frame is a standard way to store data. # Original data with months not available df1 = pd. In each iteration I receive a dictionary where the keys refer to the columns, and the values are the rows values. Get the Size of the dataframe in pandas python. Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Pandas DataFrame Exercises, Practice and Solution: Write a Pandas program to get the first 3 rows of a given DataFrame. if axis is 0 or ‘index’ then by may contain index levels and/or column labels; if axis is 1 or ‘columns’ then by may contain column levels and/or index labels. The returned data frame is the covariance matrix of the columns of the DataFrame. to_csv(r'Path where you want to store the exported CSV file\File Name. Filtering rows of a DataFrame is an almost mandatory task for Data Analysis with Python. import modules. index or columns can be used from. Pandas Series. info() function is used to get a concise summary of the dataframe. DataFrame(data = {'Fruit':['apple. DataFrame is a two-dimensional labeled data structure in commonly Python and Pandas. Spark SQL, DataFrames and Datasets Guide. Lets see on how to. I am dropping rows from a PANDAS dataframe when some of its columns have 0 value. When it comes to time series data though, I often need to iterate through the data frame and perform ad-hoc sliding window calculations in my python code. 2 need set as_index=False. These two structures are related. '데이터 사이언스/Python 데이터분석' Related Articles. head¶ DataFrame. This was one of the hardest parts for me to figure out. Cheat Sheet: The pandas DataFrame Object Preliminaries Start by importing these Python modules import numpy as np import matplotlib. # get the unique values (rows) print df. (Click above to download a printable version or read the online version below. However, when I use a loop to create each individual dataframe then trying to append a dataframe to the master dataframe results in: ValueError: incompatible categories in categorical concat A work-around (suggested by jezrael) involved appending each dataframe to a list of dataframes and concatenating them using pd. sort_index(). Reversing Pandas Dataframe by Column. How to fill missing value based on other columns in Pandas dataframe? Plotting two pandas dataframe columns against each other How to print variable value in. Pandas library in Python easily let you find the unique values. Let us get started with some examples from a real world data set. For example, you can use the DataFrame attribute. Each row was assigned an index of 0 to N-1, where N is the number of rows in the DataFrame. Python Pandas - DataFrame - A Data frame is a two-dimensional data structure, i. info() function is used to get a concise summary of the dataframe. Pandas DataFrame Exercises, Practice and Solution: Write a Pandas program to display a summary of the basic information about a specified DataFrame and its data. pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. My script works fine, with the exception of when i export the data to a csv file, there are two columns of. iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array. Quick HDF5 with Pandas. That gets me thinking — what would be the most time-efficient way to iterate through a pandas data frame?. Below a picture of a Pandas data frame:. In this section, we will learn how to reverse Pandas dataframe by column. Let us see examples of three ways to add new columns to a Pandas data frame. Dataframe is a main object in pandas. concat() method. info (self, verbose=None, buf=None, max_cols=None, memory_usage=None, null_counts=None) [source] ¶ Print a concise summary of a DataFrame. You can rearrange a DataFrame object by declaring a list of columns and using it as a key. I hope these examples will save time and effort for other people. It consists of the following properties:. , read csv & excel, subset, and group) here. Start the Intermediate Python For Data Science course for free now or try out our Pandas DataFrame tutorial! Also, don't miss out on our Pandas Data Wrangling cheat sheet or our other data science cheat sheets. If you don’t want create a new data frame after sorting and just want to do the sort in place, you can use the argument “inplace = True”. The DataFrame can be created using a single list or a list of lists. To create pandas DataFrame in Python, you can follow this generic template:. How to Writing DataFrame to CSV file in Pandas? How to change the order of DataFrame columns? Find the index position where the minimum and maximum value exist in Pandas DataFrame; How we can handle missing data in a pandas DataFrame? What is difference between iloc and loc in Pandas?. Dates in Pandas Cheatsheet - DZone Big Data. 17, so in this video, I. Pandas has a neat concept known as a DataFrame. *****How to rank a Pandas DataFrame***** name year reports coverage Cochice Jason 2012 4 25 Pima Molly 2012 24 94 Santa Cruz Tina 2013 31 57 Maricopa Jake 2014 2 62 Yuma Amy 2014 3 70 name year reports coverage coverageRanked Cochice Jason 2012 4 25 1. any() and with a series u can use str. table like the Pandas data frame? I usually just get a blob of text as if it were a regular print from R. G (graph) – The NetworkX graph used to construct the Pandas DataFrame. The resulting object will be in descending order so that the first element is the most frequently-occurring element. Pandas is one of those packages and makes importing and analyzing data much easier. Reversing Pandas Dataframe by Column. These two structures are related. You can go from a Spark Data frame to pandas and visualize with matplotlib or from pandas to Spark data frame (separate block) using the methods below. I don't want to print the index. Pandas has a neat concept known as a DataFrame. Let us first load pandas library. frame object. '데이터 사이언스/Python 데이터분석' Related Articles. The issue I'm seeing is that when I used reticulate::py_to_r(df) it does not convert to R and instead it returns a python DataFrame object. The pandas df. How to set Column as Index in Pandas DataFrame? How to Convert Pandas DataFrame to NumPy Array? How to get Shape or Dimensions of Pandas DataFrame? How to Check if Pandas DataFrame is Empty? 2 Python Examples; How to get first N rows of Pandas DataFrame? - 2 Examples; How to Query Pandas DataFrame? - 4 Python Examples. With the introduction of window operations in Apache Spark 1. Here we will create a DataFrame using all of the data in each tuple except for the last element. head (self, n=5) [source] ¶ Return the first n rows. To convert Pandas DataFrame to Numpy Array, use the function DataFrame. But data is not available for all months, so you need to enter missing months on your dataframe with empty values on them. The column names will be renamed to positional names if they are invalid Python identifiers, repeated, or start with an underscore. Let us first load pandas library. Accessing pandas dataframe columns, rows, and cells At this point you know how to load CSV data in Python. Is there a way to pretty print a data. Often is needed to convert text or CSV files to dataframes and the reverse. Yes, you can add a new column in a specified position into a dataframe, by specifying an index and using the insert() function. filter_none. Posted by: How to print a date in a regular format?. Appending a DataFrame to another one is quite simple: In [9]: df1. How to Sort Pandas Dataframe based on a column in place? By default sorting pandas data frame using sort_values() or sort_index() creates a new data frame. Pandas DataFrame is nothing but an in-memory representation of an excel sheet via Python programming language. Python | Pandas DataFrame. Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. So if you have an existing pandas dataframe object, you are free to do many different modifications, including adding columns or rows to the dataframe object, deleting columns or rows, updating values, etc. Dealing with duplicates in pandas DataFrame. nodelist ( list, optional ) – The rows and columns are ordered according to the nodes in. info (self, verbose=None, buf=None, max_cols=None, memory_usage=None, null_counts=None) [source] ¶ Print a concise summary of a DataFrame. To delete or remove only one column from Pandas DataFrame, you can use either del keyword, pop() function or drop() function on the dataframe. ) Python For Data Science Cheat Sheet: Pandas Basics. Note that there are many ways how to initialize a Pandas DataFrame. Potentially, the columns are of a different type and the size of the DataFrame is mutable, and hence can be modified. A DataFrame is a table much like in SQL or Excel. info¶ DataFrame. View all examples in this post here: jupyter notebook: pandas-groupby-post. If a list is passed and subplots is True, print each item in the list above the corresponding subplot. Often while working with a big data frame in pandas, you might have a column with string/characters and you want to find the number of unique elements present in the column. The behavior of basic iteration over Pandas objects depends on the type. Often is needed to convert text or CSV files to dataframes and the reverse. These values are essentially like the identification for each r. I can create a DataFrame (df) from the data, but I need to create a DataFrame from the 'readings' column within the df DataFrame. Get the number of rows and columns of the dataframe in pandas python: df. Analyzes both numeric and object series, as well as DataFrame column sets of mixed data. Let's discuss how to get column names in Pandas dataframe. Spark SQL, DataFrames and Datasets Guide. What would be the best approach to this as pd. Pandas is mainly used for Machine Learning in form of dataframes. [code]import pandas as pd import numpy as np df = pd. Filter using query A data frames columns can be queried with a boolean expression. Set the columns of the DataFrame df. Quick HDF5 with Pandas. We will show in this article how you can add a column to a pandas dataframe object in Python. Get the datatype of a single column in pandas: Let’s get the data type of single column in pandas dataframe by applying dtypes function on specific column as shown below. An example of a Series object is one column. The dataframe is sorted in descending order of the score. head () function. csv') But wait a minute, how can you apply the above structure in. iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array. Dataframe does not quite give me what I am looking for. There are several hundred rows in the CSV. Read Excel column names We import the pandas module, including ExcelFile. style: list or dict. Each row was assigned an index of 0 to N-1, where N is the number of rows in the DataFrame. Generating new columns from existing columns in a data frame is an integral part of my workflow. Selecting data from a dataframe in pandas. Launch the debugger session. Many people refer it to dictionary(of series), excel spreadsheet or SQL table. 335485 1 -1. table like the Pandas data frame? I usually just get a blob of text as if it were a regular print from R. , data is aligned in a tabular fashion in rows and columns. My script works fine, with the exception of when i export the data to a csv file, there are two columns of. How to get the maximum value of a specific column in python pandas using max() function. Pandas dataframe. csv', header=None) >>>. In this article we discuss how to get a list of column and row names of a DataFrame object in python pandas. Each column in an SFrame is a size-immutable SArray, but SFrames are. The method read_excel() reads the data into a Pandas Data Frame, where the first parameter is the filename and the second parameter is the sheet. Notable fact: execution time for df. Pandas has a number of data structures that are built-in and can be used to easily model and manipulate numerical data. If you’re using a Jupyter notebook, outputs from simply typing in the name DataFrame rows and columns with. However, when I use a loop to create each individual dataframe then trying to append a dataframe to the master dataframe results in: ValueError: incompatible categories in categorical concat A work-around (suggested by jezrael) involved appending each dataframe to a list of dataframes and concatenating them using pd. info() function is used to get a concise summary of the dataframe. to_csv() with similar effect, which is arguably a lot nicer:. To create pandas DataFrame in Python, you can follow this generic template:. The dataframe is sorted in descending order of the score. It cames particularly handy when you need to organize your data models in a hierarchical fashion and you also need a fast way to retrieve the data. Questions: I understand that pandas is designed to load fully populated DataFrame but I need to create an empty DataFrame then add rows, one by one. The sorting API changed in pandas version 0. Python Pandas - Descriptive Statistics - A large number of methods collectively compute descriptive statistics and other related operations on DataFrame. index[_])? The Pandas Python also lets you do a variety of tasks in your data frame. info (self, verbose=None, buf=None, max_cols=None, memory_usage=None, null_counts=None) [source] ¶ Print a concise summary of a DataFrame. Iterating over Pandas dataframe to select values and print print column and index Hey everyone, complete newbie to Python (and programming) here! I've done some pretty cool things with Python so far, but I think this "little" project of mine might be a bit over my head for me right now. Use double square brackets to print out the country column of cars as a Pandas DataFrame. Analyzes both numeric and object series, as well as DataFrame column sets of mixed data. Start the Intermediate Python For Data Science course for free now or try out our Pandas DataFrame tutorial! Also, don't miss out on our Pandas Data Wrangling cheat sheet or our other data science cheat sheets. grid: boolean, default None (matlab style default) Axis grid lines. to_csv() with similar effect, which is arguably a lot nicer:. , the new column always has the same length as the DataFrame). First of all, create a DataFrame object of students records i. To return the first n rows use DataFrame. It is useful for quickly testing if your object has the right type of data in it. This method prints information about a DataFrame including the index dtype and column dtypes, non-null values and memory usage. See the Package overview for more detail about what’s in the library. This function returns the first n rows for the object based on position. columns to be the columns from the first result object results[0]. DataFrame is a two-dimensional labeled data structure in commonly Python and Pandas. loc - It only get label i. Sort index. The data is of people and their score. If a list is passed and subplots is True. Potentially, the columns are of a different type and the size of the DataFrame is mutable, and hence can be modified. Pandas DataFrame Exercises, Practice and Solution: Write a Pandas program to get list from DataFrame column headers. Excludes NA values by default. Convert Pandas DataFrame to NumPy Array. Allowed inputs are: An integer, e. iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array. Or you could just build a table. drop_duplicates(). It's obviously an instance of a DataFrame. Basically if you set len func to this list u can get numbers of df columns Num_cols = len (df. If a list is passed and subplots is True. info¶ DataFrame. In the program, we create a simple DataFrame and print it to the console. Obviously the new column will have have the same number of elements. Click a link View as Array/View as DataFrame to the right. Although subsets may come in handy there are no need for doing this when you want to look at specific groups in the data. , the new column always has the same length as the DataFrame). pandas will do this by default if an index is not specified. In short, basic iteration (for i in object. Pandas Count distinct Values of one column depend on another column; How to create and print DataFrame in pandas? How to use Stacking using non-hierarchical indexes in Pandas? Determine Period Index and Column for DataFrame in Pandas; How to get a list of the column headers from a Pandas DataFrame? Describe the summary statistics of DataFrame. View all examples in this post here: jupyter notebook: pandas-groupby-post. This is a common question I see on the forum and I thought I make a short video demonstrate how to do that. Obviously the new column will have have the same number of elements. #import the pandas library and aliasing as pd import pandas as pd df = pd. So, what's happening is: Replace 0 by NaN with. Let's discuss how to get column names in Pandas dataframe. Get the unique values (rows) of the dataframe in python pandas. Import pandas as pd. Luckily the modules Pandas and Beautifulsoup can help! Related Course: Complete Python Bootcamp: Go from zero to hero in Python 3; Web scraping. By typing the values in Python itself to create the DataFrame; By importing the values from a file (such as an Excel file), and then creating the DataFrame in Python based on the values imported; Method 1: typing values in Python to create pandas DataFrame. apply; Read MySQL to DataFrame; Read SQL Server to Dataframe; Reading files into pandas DataFrame; Resampling; Reshaping and pivoting; Save pandas dataframe to a csv file; Series; Shifting and Lagging Data; Simple manipulation of DataFrames; Adding a new column. There are different Python libraries, such as Matplotlib, which can be used to plot DataFrames. How to set Column as Index in Pandas DataFrame? How to Convert Pandas DataFrame to NumPy Array? How to get Shape or Dimensions of Pandas DataFrame? How to Check if Pandas DataFrame is Empty? 2 Python Examples; How to get first N rows of Pandas DataFrame? - 2 Examples; How to Query Pandas DataFrame? - 4 Python Examples. ## How to utilise Pandas dataframe & series for data wrangling def Snippet_112 (): print print (format ('How to utilise a Pandas dataframe & series for data wrangling', '*^82')) import warnings warnings. It organizes data into rows and columns, making it a two-dimensional data structure. 0 Santa Cruz Tina 2013 31 57 2. When iterating over a Series, it is regarded as array-like, and basic iteration produces the values. Selecting pandas DataFrame Rows Based On Conditions. A step-by-step Python code example that shows how to convert a column in a Pandas DataFrame to a list. This helps Spark optimize execution plan on these queries. List unique values in a pandas column. We can see the data structure of a DataFrame as tabular and spreadsheet-like. Shape of a dataframe gets the number of rows and number of columns of the dataframe. How to compute grouped mean on pandas dataframe and keep the grouped column as another column (not index)? Difficulty Level: L1. Input: ----- df : Dataframe to be summarized fn : Summary function applied over each column axis : Axis to summarize on (1: by row, 0: by column) name : Index or column label for summary table_class_prefix : Custom css class for dataframe Returns: ----- Dataframe with applied summary. Delete rows from DataFr. Hi, I have a python script that is creating a DataFrame from some json data. Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Notable side effect: execution time and memory consumption increase with dataframe size df. How to Sort Pandas Dataframe based on a column in place? By default sorting pandas data frame using sort_values() or sort_index() creates a new data frame. Every frame has the module query() as one of its objects members. I want to get a list of the column headers from a pandas DataFrame. Let’s see the syntax for a value_counts method in Python Pandas Library. The diff() method of pandas DataFrame class finds the difference between rows as well as columns present in a DataFrame object. Print the DataFrame. Pandas provides data structures and tools for understanding and analysing data. The DataFrame can be created using a single list or a list of lists. Reset index, putting old index in column named index. How to select rows from a DataFrame based on values in some column in pandas? In SQL I would use: select * from table where colume_name = some_value. How would you go about it? In a nutshell, you can use the following structure in Python in order to export your pandas DataFrame to a CSV file: df. Get the maximum value of column in python pandas : In this tutorial we will learn How to get the maximum value of all the columns in dataframe of python pandas. Python Pandas - GroupBy - Any groupby operation involves one of the following operations on the original object. They are a lot like the most common way in which spreadsheets are used, with the data presented in rectangular form with columns holding variables and rows holding observations. How to add header row to a pandas DataFrame. Title to use for the plot. Python Pandas : How to display full Dataframe i. frame object. Accessing pandas dataframe columns, rows, and cells At this point you know how to load CSV data in Python. In general, you could say that the Pandas DataFrame consists of three main components: the data, the index, and the columns. Let us first load pandas library. Accessing pandas dataframe columns, rows, and cells At this point you know how to load CSV data in Python. They are extracted from open source Python projects. See the Package overview for more detail about what’s in the library. Python Pandas DataFrame. First, let’s create a simple dataframe with nba. How to Writing DataFrame to CSV file in Pandas? How to change the order of DataFrame columns? Find the index position where the minimum and maximum value exist in Pandas DataFrame; How we can handle missing data in a pandas DataFrame? What is difference between iloc and loc in Pandas?. This should dump the whole dataframe whether it's nicely-printable or not, and you can use the to_csv parameters to configure column separators, whether the index is printed, etc. info¶ DataFrame. How to Group Data using Pandas Dataframe. frame converts each of its arguments to a data frame by calling as. Use single square brackets to print out the country column of cars as a Pandas Series. pandas documentation: Create a sample DataFrame with datetime. columns gives you list of your columns. This is the first episode of this pandas tutorial series, so let's start with a few very basic data selection methods - and in the next episodes we will go deeper! 1) Print the whole dataframe. info¶ DataFrame. Pandas provides data structures and tools for understanding and analysing data. print(col) chevron_right. Our version will take in most XML data and format the headers properly. Given a Data Frame, we may not be interested in the entire dataset but only in specific rows. Basically if you set len func to this list u can get numbers of df columns Num_cols = len (df. # Original data with months not available df1 = pd. How to fill missing value based on other columns in Pandas dataframe? Plotting two pandas dataframe columns against each other How to print variable value in. Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). There are indeed multiple ways to apply such a condition in Python. Viewing as array or DataFrame From the Variables tab of the Debug tool window. There are many ways to create dataframe and i will discuss it later. Output of data_frame. In this article, w e discuss how to use the Pandas and Numpy libraries in Python in order to work with data in a Pandas DataFrame. A list or array of integers, e. In this article we discuss how to get a list of column and row names of a DataFrame object in python pandas. The output from these three print functions are shown below (for enhanced presentation, I recommend running the same code with the Jupyter Notebook, this will display pandas DataFrame objects as a more browser-friendly HTML table). How to Sort Pandas Dataframe based on a column in place? By default sorting pandas data frame using sort_values() or sort_index() creates a new data frame. Can we add a new column at a specific position in a Pandas dataframe? Answer. But data is not available for all months, so you need to enter missing months on your dataframe with empty values on them. Iteration is a general term for taking each item of something, one after another. Pandas DataFrame - Delete Column(s) You can delete one or multiple columns of a DataFrame. You can achieve the same results by using either lambada, or just sticking with pandas. To print a specific row we have couple of pandas method. This should dump the whole dataframe whether it's nicely-printable or not, and you can use the to_csv parameters to configure column separators, whether the index is printed, etc. 4, you can finally port pretty much any relevant piece of Pandas' DataFrame computation to Apache Spark parallel computation framework using Spark SQL's DataFrame. Notable side effect: execution time and memory consumption increase with dataframe size df. Luckily the modules Pandas and Beautifulsoup can help! Related Course: Complete Python Bootcamp: Go from zero to hero in Python 3; Web scraping. Filter using query A data frames columns can be queried with a boolean expression. Python Pandas DataFrame Tutorial | Data Structure Example In Pandas is today's topic. Then you have to create a dataframe. Analyzes both numeric and object series, as well as DataFrame column sets of mixed data. Special thanks to Bob Haffner for pointing out a better way of doing it. Python Pandas - Series - Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc. How do I convert dates in a Pandas DataFrame to a DateTime data type? How to Calculate correlation between two DataFrame objects in Pandas? How set a particular cell value of DataFrame in Pandas? Convert floats to ints in Pandas DataFrame? Find Mean, Median and Mode of DataFrame in Pandas; Fill missing value efficiently in rows with different. Pandas is a high-level data manipulation tool developed by Wes McKinney. Reversing Pandas Dataframe by Column. Pandas provides data structures and tools for understanding and analysing data. In general, you could say that the Pandas DataFrame consists of three main components: the data, the index, and the columns. In this tutorial, we're going to focus on the DataFrame, but let's quickly talk about the Series so you understand it. Applying operation to a pandas multi index dataframe subgroup: Nuovoq: 1: 278: Sep-04-2019, 10:04 PM Last Post: Nuovoq : Substr on Pandas Dataframe: Scott: 1: 317: Sep-02-2019, 02:49 AM Last Post: scidam : Pandas Dataframe to Google Big Query: Ecniv: 1: 384: Aug-21-2019, 04:56 PM Last Post: ThomasL : how to apply user defined function to Pandas. Filter using query A data frames columns can be queried with a boolean expression. Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Python | Pandas DataFrame. The column names will be renamed to positional names if they are invalid Python identifiers, repeated, or start with an underscore. frame(optional = TRUE). we will be finding the mean of a group in pandas, sum of a group in pandas python and count of a group. Pandas Count distinct Values of one column depend on another column; How to create and print DataFrame in pandas? How to use Stacking using non-hierarchical indexes in Pandas? Determine Period Index and Column for DataFrame in Pandas; How to get a list of the column headers from a Pandas DataFrame? Describe the summary statistics of DataFrame. Quick HDF5 with Pandas HDF5 is a format designed to store large numerical arrays of homogenous type. A slice object with ints, e. style: list or dict. There are some little details that can be easy to miss, so you’ll learn more if you read. name = 'index' but this does not print the index column with a name. concat() method combines two data frames by stacking them on top of each other. Viewing as array or DataFrame From the Variables tab of the Debug tool window. A DataFrame logically corresponds to a "sheet" of an Excel document. As that is a generic function, methods can be written to change the behaviour of arguments according to their classes: R comes with many such methods. List unique values in a pandas column. A dataframe object is most similar to a table. Examples are include for demonstration. How to Retrieve a Row from a Pandas DataFrame Object in Python. Pandas Series. Create a new H2OFrame object, possibly from some other object. Questions: I understand that pandas is designed to load fully populated DataFrame but I need to create an empty DataFrame then add rows, one by one. How to Sort Pandas Dataframe based on a column in place? By default sorting pandas data frame using sort_values() or sort_index() creates a new data frame. dtypes) So the result will be. 20 Dec 2017. concat() method combines two data frames by stacking them on top of each other. Hi, I have a python script that is creating a DataFrame from some json data.