Pandas Database Update

So pandas very slightly edges out SQLite with no indexes. Currently I am able to read a database table into a dataframe using pandas read_sql_table. update (self, other) [source] ¶ Modify Series in place using non-NA values from passed Series. Counties are political and geographic subdivisions of states in the United States. While it is exceedingly useful, I frequently find myself struggling to remember how to use the syntax to format the output for my needs. Python | Pandas Series. We will be analyzing and exploring this data using Python and pandas, thus demonstrating pandas capabilities for working with Excel data in Python. pandas-sql 0. The first idea I had was to create the collection of data frames shown below, then loop through the original data set and append in new values based on criteria. You’ll have to first create a temporary table that matches your destination table. Knowing about data cleaning is very important, because it is a big part of data science. Most pandas users quickly get familiar with ingesting spreadsheets, CSVs and SQL data. Also to update existing records check for the record in the database first before proceeding with either an insert or update. Like with Pagerank this update was named after its. There are several Python drivers for PostgreSQL. This list includes Ancient Forest Friendly™ and other ecopapers that are category leaders. The following data of trade reports comes from customs data. to_sql() that allows to pass the DataFrame to SQL with an INSERT or UPDATE option on the rows, based on the primary key. From August 17-28, 2019, 183 Governments from around the globe will meet in Geneva, Switzerland, for the 18th Conference of the Parties (CoP18) to. Rename multiple pandas dataframe column names. Pandas library in Python has a really cool function called map that lets you manipulate your pandas data frame much easily. Forest destruction also reduces pandas’ access to the bamboo they need to survive. Why is it not possible to update the virus database in Windows 8. Well we have many options to loop over Pandas data (we did not try them all!) and a large range of performance results: from 0. This is part two of a three part introduction to pandas , a Python library for data analysis. We identify what we want to improve, create the code to achieve our goals, and wrap up with some comments about things that can happen in real-life situations. Data, solutions and insights for alternative assets professionals, within one state-of-the-art platform. Mexico is analyzing whether to issue its first Panda bond, or debt denominated in Chinese yuan, though such a step to broaden the country's investor base would not take place before next year, a. We get first reactions from SEO experts on Panda 4. line_track line_race rating foreign 25 MTH 10 84 False 26 MTH 6 88 False 27 TAM 5 87 False 28 GP 2 86 False 29 GP 7 59 False 30 LCH 0 103 True 31 LEO 0 125 True 32 YOR 0 126 True 33 ASC 0 124 True. Merge with outer join “Full outer join produces the set of all records in Table A and Table B, with matching records from both sides where available. io import data, wb # becomes from pandas_datareader import data, wb. View Darin Panda's profile for company associations, background information, and partnerships. Among its scientific computation libraries, I found Pandas to be the most useful for data science operations. I have the following dataframe. Starting out with Python Pandas DataFrames. Before implementing any algorithm on the given data, It is a best practice to explore it first so that you can get an idea about the data. Last update. See this document for a description of the variable names. Instead you can store your data after removing columns in a new dataframe (as explained in the above section). Starting in 0. It can read, filter and re-arrange small and large data sets and output them in a range of formats including Excel. News: Google Panda Update 25 Seems To Have Hit (SEL) What Really Happened & How to Beat This Update: Learn more about Google Panda (HOTH). Panda Transport Overview. The following are code examples for showing how to use pandas_datareader. It makes data exploration and manipulation easy. Quantopian provides you with everything you need to write a high-quality algorithmic trading strategy. Use the BigQuery Storage API to download data stored in BigQuery for use in analytics tools such as the pandas library for Python. SettingWithCopyWarning is one of the most common hurdles people run into when learning pandas. World Bank national accounts data, and OECD National Accounts data files. Quandl The Quandl package enables Quandl API access from within Python, which makes acquiring and manipulating numerical data as quick and easy as possible. Create a new MySQLCursor object from the MySQLConnection object and call the execute() method of the MySQLCursor object. Because pandas need to maintain the integrity of the entire DataFrame, there are a couple more steps. One of the biggest advantages of the Asset Panda system is the integrated barcode scanning function included in the mobile app. Remember that we would get the same problematic outcome if we had used attribute access: data[data. Quandl is a search engine for numerical data, allowing easy access to financial, social, and demographic data from hundreds of sources. You must understand your data in order to get the best results from machine learning algorithms. Pandas writes Excel files using the Xlwt module for xls files and the Openpyxl or XlsxWriter modules for xlsx files. The Pandas cheat sheet will guide you through the basics of the Pandas library, going from the data structures to I/O, selection, dropping indices or columns, sorting and ranking, retrieving basic information of the data structures you're working with to applying functions and data alignment. Let us see some examples of dropping or removing columns from a real world data set. Lets use the above dataframe and update the birth_Month column with the dictionary values where key is meant to be dataframe index, So for the second index 1 it will be updated as January and for the third index i. General Information. Pandas provides a similar function called (appropriately enough) pivot_table. Data Filtering is one of the most frequent data manipulation operation. update(dict2) Parameters. inf file in the root of the USB. How to rename columns of pandas dataframe? How to change row names or row indexes of a pandas dataframe? Let us first load pandas. Data Panda has a poor description which rather negatively influences the efficiency of search engines index and hence worsens positions of the domain. describe() Pandas will output summary statistics by using this method. chosen_user_rated = compiled_data. This is part two of a three part introduction to pandas , a Python library for data analysis. There is no return value. Home » Pandas » Python » Data Analysis in Python using Pandas - 50 Examples In this pandas tutorial, you will learn various functions of pandas package along with 50+ examples to get hands-on experience in data analysis in python using pandas. But I haven't found any documentation on how to update an existing database row using pandas when im finished with the dataframe. You can use. pandas-datareader Documentation, Release 0. You’ll have to first create a temporary table that matches your destination table. Update and Data Refresh explained through the Panda Update: The algorithm update “Panda” is a filter which is regularly applied to the entire Google Index and takes action against websites with low quality content. Assignment 3: Data Science with Pandas. Reading the data Reading the csv data into storing it into a pandas dataframe. io import data, wb # becomes from pandas_datareader import data, wb. js By Example, Instant Lucene. Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc. 0 Yahoo!, Google Options, Google Quotes and EDGAR have been immediately deprecated due to large changes in their API and no stable replacement. Orange Box Ceo 6,341,017 views. Help pages, FAQs, UniProtKB manual, documents, news archive and Biocuration projects. Documentation will be required. groupby function in pandas python: In this tutorial we will learn how to groupby in python pandas and perform aggregate functions. These tips can save you some time sifting through the comprehensive Pandas docs. Pandas, a widely-used data science library, is ideally suited to this type of data and integrates seamlessly with Bokeh to create interactive visualizations of data. This way, you'll be able to listen to your favourite songs and recharge your smartphone directly from your Panda without lifting a finger. It only takes a minute to sign up. See this document for a description of the variable names. Descriptive statistics using Pandas data. In this article, we will cover various methods to filter pandas dataframe in Python. Pandas Tutorial 1: Pandas Basics (Reading Data Files, DataFrames, Data Selection) Pandas is one of the most popular Python libraries for Data Science and Analytics. Factors in R are stored as vectors of integer values and can be labelled. When the Uninstaller starts, make sure all of your programs are closed and click on the OK button. The robot for everyone – sensitive, interconnected, adaptive and cost-efficient. Also to update existing records check for the record in the database first before proceeding with either an insert or update. Pandas' read_sql, read_sql_table, read_sql_query methods provide a way to read records in database directly into a dataframe. 0: Google Rolls Out Panda Update Internationally & Incorporates Searcher Blocking Data Late February, Google launched a substantial algorithm change (known as “Farmer” or “Panda. twython passes back a list of dicts, I'm then grabbing the data I want from each tweet and putting it in the database. From a csv file, a data frame was created and values of a particular column - COLUMN_to_Check, are checked for a matching text pattern - 'PEA'. Learn more about Teams. Our Smart technology, based on Big Data and AI, monitors every running application on your systems and classifies absolutely EVERYTHING. filed as a Domestic For-Profit Corporation in the State of Texas and is no longer active. WWF Panda Junior is a Commercial software in the category Home & Hobby developed by ElektroGames. It is designed to push down thin or low-quality content sites in the search results. 6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Applying a function. The columns are made up of pandas Series objects. We collected one metadata history record for Codingpanda. Meanwhile, the most commonly-used data visualization methods are also implemented in PANDA-view. Pandas has been built on top of numpy package which was written in C language which is a low level language. Data aggregation with pandas DataFrames. Last month klasnoeImia tweeted 268 times and followed 5 user. ie) location in Leinster, Ireland , revenue, industry and description. Panda Exchange is a cutting-edge platform that is constantly evolving in order to keep up with the latest developments. Go to our web app to get simple data visualizations, such as a rolling heatmap of your best programming times by hour of the day. Panda Security informs the User that he or she can choose, as provided for in the present Legal Notice, not to allow his/her data to be used for sales or advertising purposes and can unsubscribe from the mailing list by following the instructions at the bottom of all e-mails or by sending an e-mail to [email protected] js By Example, Instant Lucene. Pandas is one of those packages and makes importing and analyzing data much easier. How do I update an excel file and not overwrite it? #Run function query_data(atlantic_stones) query_data(aircool_north) query_data(aircool_south) #Create some Pandas dataframes dfastones = quer. A step-by-step Python code example that shows how to Iterate over rows in a DataFrame in Pandas. Some updates, like the Penguin Update or Panda Update, are already part of Google’s so-called “core algorithm”. From August 17-28, 2019, 183 Governments from around the globe will meet in Geneva, Switzerland, for the 18th Conference of the Parties (CoP18) to. The first idea I had was to create the collection of data frames shown below, then loop through the original data set and append in new values based on criteria. And you can use it from your Android Wear™ smartwatch too! Panda Mobile Security includes: App features FREE VPN Avoid prying eyes and access your favorites sites through a private, secure, virtual data tunnel. Tutorial - Using Pandas DataFrames with the ArcGIS API for Python written by Eric van Rees January 29, 2018 This short tutorial covers how to use the ArcGIS API for Python and pandas DataFrame objects for displaying tabular data inside of your Jupyter Notebook application. 0 looks to be a major algorithm update and NOT a simple data refresh. Here is what is covered in this section: Data used in this example Recode using functions Creating a new variable with recoding How to video Recoding variables is sometimes necessary if you want to create new variable. The display range of your image might not be set correctly. Whatever side of the (white picket) fence you’re on, regarding the topic of having children, I hope that you’ll enjoy the jokes. Updated for Python 3. Updated for version: 0. With pandas. In this tutorial, we will see how to plot beautiful graphs using csv data, and Pandas. Hence, it is must to manually delete these files. I will now walk through a detailed example using data taken from the kaggle Titanic: Machine Learning from Disaster competition. Panda Identity Protect is a Shareware software in the category Miscellaneous developed by Panda Security. If you have more than 2 data frames to merge, you will have to use this method multiple times. Many functions from the data module have been included in the top level API. Don't miss any of your favorite TV shows ever again!. By now, most people know that pandas can do a lot of complex manipulations on data - similar to Excel. A typical use would be generating a customized PowerPoint presentation from database content, downloadable by clicking a link in a web application. The related announcements group provides only announcements of software updates. Counties are political and geographic subdivisions of states in the United States. Double-click on the Uninstaller. Protein knowledgebase. 2, released on 02/18/2008. interpolate() function is basically used to fill NA values in the. You need to load the package by using the following command - import pandas as pd. which returns a GeoDataFrame object. Should have at least one matching index/column label with the original DataFrame. Full outer join:To keep all rows from both data frames, specify how=‘outer’. Like with Pagerank this update was named after its. Interiors and space. Versatile ClamAV supports multiple file formats, file and archive unpacking, and multiple signature languages. This corporate entity was filed approximately thirteen years ago on Monday, October 16, 2006 as recorded in documents filed with Texas Secretary of State. Pandas' read_sql, read_sql_table, read_sql_query methods provide a way to read records in database directly into a dataframe. In this post, we will explore a feature of Python pandas package. Learn most in demand skill in space of Data Science, Data analytics : Data analysis library Pandas & NumPy - Python Student Testimonial : What you'll learn Update your resume with one of the in demand skill : Data analysis Pandas. In Game Prizes GIVEAWAY!! This week only. Still, for customized plots or not so typical visualizations, the. ~1% of search results. cav file has to be copied to:. Related course: Data Analysis in Python with Pandas. Starting in 0. The Pandas cheat sheet will guide you through the basics of the Pandas library, going from the data structures to I/O, selection, dropping indices or columns, sorting and ranking, retrieving basic information of the data structures you're working with to applying functions and data alignment. In python, unlike R, there is no option to represent categorical data as factors. It only takes a minute to sign up. We can then perform various operations on each of these groups. Access datasets with Python using the Azure Machine Learning Python client library. code-block:: python. The aims of Panda are noble: to remove poor quality sites from the top of Google’s results pages. View Darin Panda's profile for company associations, background information, and partnerships. How to Get Unique Values from a Column in Pandas Data Frame? January 31, 2018 by cmdline 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. I'm using this for update my data in Excel and it works and now I don't need to wait until morning to get the historical data because it's available at less an hour. Part 1: Intro to pandas data structures, covers the basics of the library's two main data structures - Series and DataFrames. In general, Python users want to use psycopg2 unless they have a strong reason to try another driver, most of which are no longer maintained. I then work with the data as necessary. Instead, health care providers use diagnostic criteria for the diagnosis of PANDAS (see below). @Detective_Panda has 16 followers and a follower/following ratio of 0. I personally have a theory. This way, you'll be able to listen to your favourite songs and recharge your smartphone directly from your Panda without lifting a finger. A data frame is essentially a table that has rows and columns. Now, with the MySQL data inside a Pandas DataFrame, its easy graph this data. Panda, Penguin, and The Algorithm Sandwich. Data analysis with python and Pandas - DataFrame Tutorial 1 - Duration: 16:48. I am using panda antivirus pro 2013 protection. XlsxWriter is a Python module that can be used to write text, numbers, formulas and hyperlinks to multiple worksheets in an Excel 2007+ XLSX file. ) XlsxWriter. Each row is a measurement of some instance while column is a vector which contains data for some specific attribute/variable. For those unfamiliar with the. Merge with outer join “Full outer join produces the set of all records in Table A and Table B, with matching records from both sides where available. Interiors and space. We need to use the package name “statistics” in calculation of mean. Shows how to recode data from string to numeric, numeric to string, and how to create a new variable while recoding values. Method 1: Using Boolean Variables. How to rename columns of pandas dataframe? How to change row names or row indexes of a pandas dataframe? Let us first load pandas. One typically drops columns, if the columns are not needed for further analysis. How to change/update cell value in Python Pandas 0 votes. Known for its robust virus protection, fast scanning and ease of use, we recommend Panda Antivirus Pro or Panda antivirus free as an excellent option for home users that need all the above, together with the most attractive, intuitive and simple user interface for home users. get_data_yahoo() method to use yfinance while making sure the returned data is in the same format as pandas_datareader's get_data_yahoo(). Panda Movie Maker is a Shareware software in the category Miscellaneous developed by skygmsoft. At this pace @Detective_Panda will hit 13 followers in the next 3 months, and 6 in one year. Learn more about Teams. Just like pandas dropna() method manage and remove Null values from a data frame, fillna() manages and let the user replace NaN values with some value of their own. Optionally, BigQuery ML can automatically update the trained ML models based on changes in the underlying data,. describe() Pandas will output summary statistics by using this method. One of the common tasks of dealing with missing data is to filter out the part with missing values in a few ways. The parameter inplace= can be deprecated (removed) in future which means you might not see it working in the upcoming release of pandas package. Google Panda is a major change to Google's search results ranking algorithm that was first released in February 2011. 2, released on 02/18/2008. This is where pandas and Excel diverge a little. At this point, we can start to plot the data. Although others have touched on technical differences on Spark DF and Pandas DF, I will try to explain with an use-case. Getting started with Pandas means getting data loaded into the native in-memory data object representing tabular data, the DataFrame. The next step is to create a data frame. DataReader(). sub, so you can use exactly same regular expressions you would use for re. As someone who works with time series data on almost a daily basis, I have found the pandas Python package to be extremely useful for time series manipulation and analysis. I like to say it’s the “SQL of Python. Natural join: To keep only rows that match from the data frames, specify the argument how=‘inner’. The preview of Microsoft Azure Machine Learning Python client library can enable secure access to your Azure Machine Learning datasets from a local Python environment and enables the creation and management of datasets in a workspace. In a database query, we can group data by the value in a column or columns. How to Get Unique Values from a Column in Pandas Data Frame? January 31, 2018 by cmdline 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. Quite conveniently, the data analysis library pandas comes equipped with useful wrappers around several matplotlib plotting routines, allowing for quick and handy plotting of data frames. is an china Buyer. Pandas how to get a cell value and update it Posted on April 12, 2019 July 19, 2019 Accessing a single value or setting up the value of single row is sometime required when we doesn't want to create a new Dataframe for just updating that single cell value. Pandas drop function allows you to drop/remove one or more columns from a dataframe. High-performance, easy-to-use data structures and data analysis tools. Buy Gamewright Trash Pandas - The Raucous Raccoon Card Game - 252: Card Games - Amazon. cec panda group is an other Supplier. On the 17th, we wrote about some webmasters who were suspecting a major update from Google. download apk game, download game android, download permainan gratis, game android apk, game android terbaik, kumpulan game android, mod apk, apk mod, download apk mod. Pandas DataFrame. Machine Learning and Data Science Applications in Industry Admin Also instead of "watching" you can join the link-letter, it's already being sent out to about 90 people and you are free to join too. iloc[, ], which is sure to be a source of confusion for R users. They are extracted from open source Python projects. This way, you'll be able to listen to your favourite songs and recharge your smartphone directly from your Panda without lifting a finger. With over two-thirds of the 2019 season in the books, let’s check in to see how seven players are progressing towards possible vesting options in their contracts. Note: this page is part of the documentation for version 3 of Plotly. For discussion about R/qtl2, see the rqtl2-disc group. data or pandas. I haven't used pandas personally but if you are using sql syntax then there should be the option of not creating table if the table exists create table if not exists [tablename]. (), is pleased to provide a corporate update relating to the progress of various initiatives being spearheaded through its subsidiaries including Snakes & Lattes Inc. io import data, wb # becomes from pandas_datareader import data, wb. XlsxWriter is a Python module for creating Excel XLSX files. import pandas as pd Use. We may request more information to confirm your identity before releasing or modifying any personal data. post about SQL vs. This tutorial explores a real-life example. Pandas DataFrame. I am initializing a DataFrame with 0 and then update it by iteratively indexing into indvidual columns. org:katzenpost/panda. "iloc" in pandas is used to select rows and columns by number, in the order that they appear in the data frame. Pandas is a high quality package that offers a Yahoo finance data reader as well as a set of useful data structures to perform analysis on this data. Panda Movie Maker is a Shareware software in the category Miscellaneous developed by skygmsoft. HDF5 had not designed to be "production ready" database. Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Highs fall back some by Tuesday into the middle and upper 90s. 9 on July 24th; Panda 3. How about some code that makes a chart based on only part of a pivot table, and updates it on demand? The Pivot Table. Have another way to solve this solution? Contribute your code (and comments) through Disqus. The platform allows users to exchange a wide range of different crypto assets listed in the platform. 509 over 295 PA as a part-time player in San Francisco. Dropping rows from a PANDAS dataframe where some of the columns have value 0. Second, list the columns whose values you want to change in the SET clause. Board index Products for Homeusers Panda Free Antivirus Panda Free Antivirus - Issues Update to latest version Queries regarding Panda free antivirus products will be managed, to the extent possible, by the forum community. The columns are made up of pandas Series objects. 7 Up to date remote data access for pandas, works for multiple versions of pandas. 0, pandas no longer supports pandas. We will use update where we have to match the dataframe index with the dictionary Keys. It was checked for updates 157 times by the users of our client application UpdateStar during the last month. If we have our data in Series or Data Frames, we can convert these categories to numbers using pandas Series' astype method and specify 'categorical'. Have another way to solve this solution? Contribute your code (and comments) through Disqus. We did not detect any description or keywords on Pandacomputers. Setup a private space for you and your coworkers to ask questions and share information. Lets use the above dataframe and update the birth_Month column with the dictionary values where key is meant to be dataframe index, So for the second index 1 it will be updated as January and for the third index i. It can read, filter and re-arrange small and large data sets and output them in a range of formats including Excel. Panda Movie Maker runs on the following operating systems: Windows. inf file in the root of the USB. PANDAS is an acronym for a condition called Pediatric Autoimmune Neuropsychiatric Disorder Association with Streptococcal Infections. I have one time experienced, the Windows Defender blocking it's own definitions-updates!! :-D. Pandas, a widely-used data science library, is ideally suited to this type of data and integrates seamlessly with Bokeh to create interactive visualizations of data. Pandas will create a new list internally before converting the records to data frames. io import data , wb # becomes from pandas_datareader import data , wb. 2 it will be updated as February and so on. 205 2014-04-19 1093 2014-03-17. In this tutorial, we will see how to plot beautiful graphs using csv data, and Pandas. 0 was official released May 20th. Plans start at $8. 959K likes. Chat, share photos and videos, bank and buy online, read your favorite blogs or simply surf the Web. Data Filtering is one of the most frequent data manipulation operation. Quick HDF5 with Pandas HDF5 is a format designed to store large numerical arrays of homogenous type. Learn Pandas 2,931 views. dict2 − This is the dictionary to be added into dict. Return Value. Conservative MP breaks ranks to. Data aggregation is a term used in the field of relational databases. Go to our web app to get simple data visualizations, such as a rolling heatmap of your best programming times by hour of the day. How to replace values with None in Pandas data frame in Python?. It was initially added to our database on 02/16/2009. Unlike you might think based on all the angry Panda pictures going around the web, the update had nothing to do with an animal. How to Round Values in Pandas DataFrame in Practice Method 1: Round to specific decimal places - Single DataFrame column. 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). Baby Panda's Carnival - Christmas Amusement Park: Free Android app (4. Let’s get. Giant Panda Screensaver runs on the following operating systems: Windows. Output table of data. The stated purpose of the Google Panda algorithm update was to reward high-quality websites and diminish the presence of low-quality websites in Google’s organic search engine results. You can achieve the same results by using either lambada, or just sticking with pandas. This is part two of a three part introduction to pandas , a Python library for data analysis. 0, pandas no longer supports pandas. Here’s a code snippet for a graph of country GNP versus life expectancy, with the country name showing on hover. "wildcard" is little vague - pandas' replace is made on top of standard python re. We will be working on. It only takes a minute to sign up. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics. io with those from pandas_datareader: from pandas. Thanks to Big Data and Artificial Intelligence, we have developed a new smart technology that detects attacks before they even happen to keep you and your loved ones safe and secure. So pandas very slightly edges out SQLite with no indexes. Reading the data Reading the csv data into storing it into a pandas dataframe. Quandl The Quandl package enables Quandl API access from within Python, which makes acquiring and manipulating numerical data as quick and easy as possible. Pandas are the second type of bear to be added into the game, with the first being the polar bear. org:katzenpost/panda. describe() Pandas will output summary statistics by using this method. Then this course is for you, welcome to the course on data analysis with python's most powerful data processing library Pandas. Panda Update 25 — March 13-14, 2013. You must understand your data in order to get the best results from machine learning algorithms. Descriptive statistics summarizes the data and are broken down into measures of central tendency (mean, median, and mode) and measures of variability (standard deviation, minimum/maximum values, range, kurtosis, and skewness). py, which is not the most recent version. Showing 1-20 of 916 topics. View Panda Heston's profile for company associations, background information, and partnerships. django-pandas 0. Your job is to help her escape! Quick reflexes, creative thinking, and a sharp wit are essential to navigating the pitfalls and perils in this addictive game! Play through more than 150 imaginative levels, or create some of your own! There are hours of non-stop fun with a challenge for everyone! Try Panda Craze today! Help Tik-Ling Make It Back. We will be undergoing scheduled maintenance during this time. io import data , wb # becomes from pandas_datareader import data , wb. And thank goodness for that. Second, list the columns whose values you want to change in the SET clause. PandaBank 2.

Pandas Database Update