Convert Pandas To Sql

We have a CREATE TABLE IF NOT EXISTS after which the parameter %s the place %s is the placeholder for my desk name. Since we all know the desk schema already in view that we've got the pandas dataframe of our data, we're simply going to call the columns and add the info types. We then save the whole lot in a variable named create_table_command. In this article, I am going to illustrate easy methods to hook up with databases applying a pandas dataframe object. Pandas in Python makes use of a module referred to as SQLAlchemy to hook up with numerous databases and carry out database operations. In the past article on this collection "Learn Pandas in Python", I even have defined easy methods to stand up and operating with the dataframe object in pandas.

Using the dataframe object, you may without problems start off working together with your structured datasets in an analogous means that of relational tables. I would propose you take a seriously look into that article in case you're new to pandas and need to be taught extra concerning the dataframe object. The screen of column metadata is unaffected by the differences within the second script block. You can nonetheless see the column names and their facts types.Python shops string values with an object facts type.

The solely factor not lined in these solutions that I'd prefer to say is that it additionally is dependent upon how you are utilizing SQL. For some rationale not one in each of several arcpy.da capabilities have an execute many feature. This is basically unusual since simply about each different python sql library does. The Where fact within the arcpy.da capabilities is usually constrained to spherical one hundred twenty characters. I must emphasise right right here that pandas is not solely a bit quicker on this case.

It's most quicker that I was actually laughing at myself for not doing it sooner. Using pandas dropped one scripts execution time down from effectively over an hour - I neglect if this was the bounce from 3.5 hours or from 1.5 hours - to actually 12 minutes. The dataframe created from the output of the read_csv carry out receives further processing such asConverting the date column to a datetime index named date. This operation is carried out with the assistance of the inplace parameter for the set_index approach to the df dataframe object.

Setting the inplace parameter to True eliminates the necessity to drop the date column after the conversion. Since Spark 2.2.1 and 2.3.0, the schema is usually inferred at runtime when the info supply tables have the columns that exist in each partition schema and facts schema. The inferred schema doesn't have the partitioned columns. When analyzing the table, Spark respects the partition values of those overlapping columns rather than the values saved within the info supply files. In 2.2.0 and 2.1.x release, the inferred schema is partitioned however the info of the desk is invisible to customers (i.e., the end result set is empty). You could have to put in further driver packages in your chosen database server.

Row['video_id'] and different columns symbolize the columns within the pandas dataframe the place our for loop goes row by row. Df.iterrows() returns two parameters i which is the row index and row which is the row as a tuple, however in our case, we don't should use i, simply row. Let's stroll by using how we will load facts from a pandas dataframe to database desk within the cloud, and carry out a second operation the place we replace the identical desk with new data. We'll do that in a scalable way, which suggests our code can deal with probably tens of millions of rows with out breaking pandas or operating out of memory.

In this article, we'll speak about find out find out how to addContent your facts from a pandas dataframe to a database within the cloud. The first half is to gather facts from an API as your facts source. I took you thru find out find out how to try this in our prior weblog - Working with Python APIs For facts science project. Now that you've the info from the API saved in a pandas dataframe, we have to get it right into a database table. There's a really attention-grabbing task from Dutch CWI, referred to as DuckDB.

It's an open-source embedded analytical database that tries to deal with the SQL mismatch for one among the most common facts science workflow. First quarter-hour of this talk, DuckDB – The SQLite for Analytics, one among many authors, Mark Raasveldt, explains how DuckDB addresses the problem. JSON facts supply is not going to immediately load new information which are created by different purposes (i.e. information that aren't inserted to the dataset as a result of Spark SQL). For a DataFrame representing a JSON dataset, customers have to recreate the DataFrame and the brand new DataFrame will incorporate new files. Notice that the info different varieties of the partitioning columns are immediately inferred. Currently, numeric facts types, date, timestamp and string variety are supported.

Sometimes customers might not wish to routinely infer the info kinds of the partitioning columns. For these use cases, the automated style inference will be configured byspark.sql.sources.partitionColumnTypeInference.enabled, which is default to true. When style inference is disabled, string style might be used for the partitioning columns. Here is a display shot with output from the second main portion of the script. Recall that the second main portion of the script provides a brand new index to the df dataframe founded on the datetime changed date column values from the read_csv edition of the df dataframe. Additionally, the second main portion of the script drops the unique date column from the df dataframe after utilizing it to create a datetime index.

Module can give a wrapper for Google's BigQuery analytics net service to simplify retrieving effects from BigQuery tables employing SQL-like queries. Result units are parsed right into a pandas.DataFramewith a form and facts varieties derived from the supply table. Additionally, DataFrames may be inserted into new BigQuery tables or appended to present tables.

In the above image, you'll word that we're employing the Snowflake connector library of python to determine a connection to Snowflake, very similar to SnowSQL works. We ship our SQL queries to the required databases, tables, and different objects employing the connection object. The consequences set is within the shape of a cursor, which we'll convert right into a Pandas DataFrame.

The first a half of the principle will name the update_db() operate the place we move it the database connection and the pandas dataframe with our video information. That pronounced it does not suggest there aren't area of interest use instances in information evaluation which might be clear up in SQL alone. One instance that I may give is ad-hoc exploratory information visualisation in resources like sqliteviz (in-browser SQLite with full Ploty's array of scientific visualisation) and sqlitebrowser . At this point, we have absolutely replicated the output of our unique SQL question whereas offloading the grouping and aggregation work to pandas.

Again, this instance solely scratches the floor of what's feasible employing pandas grouping functionality. Many group-based operations which are complicated employing SQL are optimized inside the pandas framework. This contains issues like dataset transformations, quantile and bucket analysis, group-wise linear regression, and software of user-defined functions, amongst others. Access to those kind of operations substantially widens the spectrum of questions we're ready to answering. Since Spark 2.3, Spark helps a vectorized ORC reader with a brand new ORC file format for ORC files.

To do that, the next configurations are newly added. For the Hive ORC serde tables (e.g., those created employing the clause USING HIVE OPTIONS (fileFormat 'ORC')), the vectorized reader is used when spark.sql.hive.convertMetastoreOrc can be set to true. The contents of the file are saved in a Pandas dataframe object named df. If you need to put in writing the file by yourself, you might additionally retrieve columns names and dtypes and construct a dictionary to transform pandas facts varieties to sql facts types. Spark SQL can convert an RDD of Row objects to a DataFrame, inferring the datatypes.

Rows are constructed by passing an inventory of key/value pairs as kwargs to the Row class. The keys of this record outline the column names of the table, and the kinds are inferred by sampling the entire dataset, corresponding to the inference that's carried out on JSON files. The pandas-gbq library supplies an easy interface for operating queries and importing pandas dataframes to BigQuery. It is a skinny wrapper across the BigQuery customer library, google-cloud-bigquery.

This matter promises code samples evaluating google-cloud-bigquery and pandas-gbq. First, it illustrates how you can reconstruct the dataframe from the .csv file created within the prior section. The preliminary dataframe is predicated on the appliance of the csv_read perform for the .csv file. Next, three further Python statements monitor the dataframe contents in addition to reveal metadata concerning the dataframe. Examples incorporate knowledge visualization, modeling, clustering, machine learning, and statistical analyses.

Some database structures similar to Apache Hive retailer their knowledge in a location and format which will be immediately accessible to Dask, similar to parquet documents on S3 or HDFS. The constraints imply that we can not immediately settle for SQLAlchemy engines or connection objects, since they've inner state (buffers, etc.) that can't be serialised. A URI string have to be used, which might be recreated right into a recent engine on the workers.

Convert Sql Query To Python Pandas In this tutorial, we'll clarify the best way to import SQL facts and SQL queries right into a Pandas DataFrame. We'll primarily use the SQLAlchemy module to import our SQL data. SQLAlchemy could be utilized along side Pandas for importing SQL facts from quite a lot of varied SQL database types. Once we have now a created a connection to a SQL database, we will use normal SQL queries to entry databases and shop facts into Pandas DataFrames. Python however (pandas is somewhat "pythonic" so it holds true here) is versatile and accessible to persons from varied backgrounds.

It would be utilized as a "scripting language", as a useful language and a totally featured OOP language. When you create a Hive table, you must outline how this desk must read/write knowledge from/to file system, i.e. the "input format" and "output format". You additionally must outline how this desk must deserialize the info to rows, or serialize rows to data, i.e. the "serde". The following selections would be utilized to specify the storage format("serde", "input format", "output format"), e.g.

CREATE TABLE src USING hive OPTIONS(fileFormat 'parquet'). Note that, Hive storage handler isn't supported but when creating table, you possibly can create a desk making use of storage handler at Hive side, and use Spark SQL to examine it. The body could have the default-naming scheme the place the rows begin from zero and get incremented for every row. The columns shall be named after the column names of the MySQL database table. Spark promises a createDataFrame technique to transform pandas to Spark DataFrame, Spark by default infers the schema dependent on the pandas information varieties to PySpark information types.

The sqlite3 module grants an easy interface for interacting with SQLite databases. A connection object is created making use of sqlite3.connect(); the connection have to be closed on the top of the session with the .close() command. While the connection is open, any interactions with the database require you to make a cursor object with the .cursor() command. The cursor is then able to carry out all types of operations with .execute(). As you possibly can inform from the previous display shot, the date column within the df dataframe doesn't symbolize datetime values. Therefore, should you wish to carry out tasks, akin to extract date and/or time values from a datetime value, you can't use the built-in Python features and properties for working with datetime values.

However, you'll be able to quite simply use these capabilities and properties after changing the date column values to datetime values and saving the changed values because the index for the dataframe. This part reveals a method to carry out the conversion and signifies its influence on the dataframe metadata. The values zero by using 9 are RangeIndex values for the primary set of ten rows. These RangeIndex values will not be within the .csv file, however they're added by the read_csv carry out to trace the rows in a dataframe.

The full set of dataframe column names and their knowledge varieties seem under the print operate output for the dataframe.The first column identify is date, and the final column identify is ema_200. Set a variable identify with the string of a desk identify you desire to to create. Then use that variable when invoking the to_sqlmethod on the save_df object, which is our pandas DataFrame that may be a subset of the unique knowledge set with 89 rows filtered from the unique 7320. ~ In this case, not solely do you want to append new knowledge as new rows however you might want to additionally replace the values in present rows. For example, since I'm handling Youtube video knowledge from my channel, I even have an inventory of movies on my channel, their view remember and remark count. These counts change over time so once I pull knowledge from the Youtube API a second time, I might want to each replace the counts of present movies and add new movies to the database table.

We'll cross the Postgres connection cursor() referred to as curr and the desk identify to the create_table function. The cursor is a category occasion that lets you run SQL instructions and fetch results. It principally permits python code to execute sql instructions in a database session.

I thought I would add that I do loads of time-series elegant knowledge analysis, and the pandas resample and reindex techniques are invaluable for doing this. Yes, you are ready to do associated issues in SQL (I are likely to create a DateDimension desk for serving to with date-related queries), however I simply discover the pandas techniques a lot less difficult to use. In this benchmark we copy a Pandas knowledge body consisting of 10M 4-Byte integers from Python to the PostgreSQL, SQLite and DuckDB databases.

This needless to say will solely work if the database server is operating on the identical machine as Python. Using DuckDB, you can still reap the benefits of the robust and expressive SQL language with out having to fret about transferring your information in - and out - of Pandas. DuckDB is very straight forward to install, and presents many advantages akin to a question optimizer, automated multi-threading and larger-than-memory computation. Like ProtocolBuffer, Avro, and Thrift, Parquet additionally helps schema evolution.

Users can start off with an easy schema, and progressively add extra columns to the schema as needed. In this way, customers could find yourself with a number of Parquet information with totally different however mutually suitable schemas. The Parquet knowledge supply is now capable of immediately detect this case and merge schemas of all these files. DataFrames could even be saved as persistent tables into Hive metastore employing the saveAsTablecommand. Notice that an present Hive deployment shouldn't be essential to make use of this feature.

Spark will create a default neighborhood Hive metastore for you. Unlike the createOrReplaceTempView command,saveAsTable will materialize the contents of the DataFrame and create a pointer to the info within the Hive metastore. Persistent tables will nonetheless exist even after your Spark program has restarted, so lengthy as you preserve your connection to the identical metastore. A DataFrame for a persistent desk will be created by calling the desk way on a SparkSession with the identify of the table. You additionally can manually specify the info supply that will be used together with any further selections that you'd wish to cross to the info source.

Data sources are specified by their absolutely certified identify (i.e., org.apache.spark.sql.parquet), however for built-in sources you too can use their brief names . DataFrames loaded from any information supply kind might be changed into different sorts applying this syntax. Now, the info is saved in a dataframe which may be utilized to do all of the operations. In order to put in writing information to a desk within the PostgreSQL database, we have to make use of the "to_sql()" approach to the dataframe class. This system will examine information from the dataframe and create a brand new desk and insert all of the information in it. A URI referred to above is an easy connection string that may be utilized by the module to ascertain a reference to the PostgreSQL database.

In the primary part, you might want to say the database taste that you're connecting to. It could very well be "mysql" or "mssql" counting on the database that you just just just use. In the second a half of the connection string, you might want to specify the username and password that you'll be making use of to hook up with the database server. Note that the username and the password are separated through the use of colons. In the third part, you might want to say the database hostname and the port on which the database is running, observed by the database name.

Are Pisces Good In Studies

Also, it will be beneficial for those who wish to go overseas for foreign studies. The transit of Lagna Lord Saturn in the twelfth house of distant land will truly support you in getting admissions to your desired colleges. Saturn will be in the rising sign by April end which will bring some challenges for all the students, you will have to study really hard to get good grades. However, your efforts will be fruitful and you will get good results of your dedication toward your subjects since Jupiter transiting in your rising sign will bless you with true knowledge and grace.

The time period will be favourable for researchers and PhD students from mid of April since Jupiter will aspect the eighth house of deep learning from this month onwards. The transit of Rahu in the fourth house till April will bring some distractions and concentration issues to the academic students. Those who are preparing for competitive examinations, LLB, and engineering will have a commanding period from the end of April till July since Saturn will transit from Aquarius during this period. This transit will activate your sixth house of fighting spirits and competition which will help you in getting success in your examinations. The beginning of July will be fruitful for all the students and any effort made during this period will bring outstanding results. Sun, Venus and Mercury in their fifth house of studies will improve their concentration, dedication, and understanding towards their subjects.

The time period post-July till end of the year will again be favourable for students looking forwards to distance education or studying in a foreign land. According to the Horoscope 2022 Predictions based on planetary movements and placement of Nakshatras, academic students who are born under sign Sagittarius will be fortunate in terms of education this year. Because Jupiter, the lord of your zodiac, will be sitting in the third house at the beginning of the year, it will bring courage and you will get help from your siblings and friends in your studies. This will boost your confidence and spirit to study harder. Also the planet Saturn will be positioned in the second house, which may bring some pressure from the family to study harder. You may be a bit harsh and rude with your parents, especially your mother during this time period.

The transit of Jupiter in Pisces in the month of April will prove to be beneficial for academic students. They will have an inclination towards studies, also their understanding power will improve during this time. The fifth house lord Mars will transit from the rising sign from the middle of January, which will bring dynamism in students and their competitive spirit will be high. They will aggressively learn their subjects and will try to prove themselves by putting best forth effort in their studies. This time period will be favourable for the medical students, hospitality students, and those who are pursuing para medicals or civil services.

The month of July will be auspicious for the students who are pursuing higher studies or master's degrees. The placement of Mars in the fifth house of studies during this period will prove to be beneficial as you will be quick in learning things and will be able to understand and interpret your subjects thoroughly. The academic students will have to study really hard to achieve good results in their examinations.

The situation will start improving post-April when Saturn will transit in the sign Aquarius. Those who are pursuing college examinations admissions colleges will have a better period from the mid of April due to the transit of the planet of knowledge Jupiter in your eleventh house. The Jupiter will aspect the lagna i.e rising sign and the fifth house of education. The students will expand their horizons and will have a keen interest in their subjects. Also, they will have the wisdom to choose the right subjects and stream of studies. However, students may face some concentration issues and distractions due to the presence of Ketu in their fifth house of studies.

You will not be satisfied with your own performance and the results of your examinations. This time will be favourable for those who are pursuing foreign languages and translation courses. Also, the period is favourable for those who are planning to study in foreign lands. The time period post-April is better for the students who are preparing for the Medical or IT sector due to the transit of malefic planets in their house of studies.

The law students will have a favourable period till the first quarter when Saturn will be in the eighth house. This time period will inspire you to study hard, also you will be good at your learning skills. This year will be a good learning time for all the students and their efforts will bring fruitful results. According to the Education Horoscope 2022, this year will give you mixed results at the education front for students.

At the beginning of the year, Saturn will be transiting from your rising sign which will make you put in extra effort and study really hard to achieve desired results. Jupiter will be in your second house till mid of April, which will improve your vocals and the academic students will be able to perform better in their debates and oral examinations. Though the placement of Rahu in the fifth house of studies till April will create some distractions in the studies but your dedication and inspiration will help you in getting through the challenges. The transit of Rahu in April in the fourth house will bring loads of concentration issues with the academic students.

They will also be careless with their assignments and make silly mistakes in their examinations. This will bring confidence in the students and they will be able to understand their subjects better. The months of October and November will be good for the medical students and those who are pursuing hospitality, LLB, CA, or CS since the transit of Mars in your sixth house will boost you. Also, it will make you aggressive towards your subjects and you will learn and understand things quickly. The end of the year will also be crucial for those who are planning for foreign studies as you can get through your desired universities or colleges.

The Education 2022 Horoscope reveals that the beginning of the year will be good for all the students as they will get the fruits of their efforts and hardwork. Since the fifth lord, Saturn will be in its own sign. You may not get any assistance and support from your tutors or family members in your studies due to the transit of fourth house lord Jupiter in the sixth house during the first four months of the year.

This will make things challenging for you however you will study hard to achieve the desired results. It will give you a fighting spirit and you will be able to crack the examinations and score well. Also, you will get the ultimate boost and encouragement from your tutors since Jupiter will also be in the sixth house during this period. Those who have plans for overseas studies should prepare after July since Saturn will aspect your twelfth house of foreign land during this period. The time period post-April will bring some distractions and illusions for academic students due to the transit of Ketu in the second house of basic education. The parents will have a tough time teaching general values and completing the syllabus with their little ones as they will not be able to learn things well.

This period will be good for those students who are into scientific studies or researching on subjects as the Rahu transiting in their eighth house of depth will support their actions. They will be able to get into details of things and explore new avenues pertaining to their subjects. This time period will not be very beneficial for the literature and humanities student since the fifth house lord Jupiter will be in the seventh house till April. You will have to put forth the best of your efforts only then you will be able to achieve good results since your mind will be distracted.

The willpower of the students will enhance post April when Ketu will transit from their third house of strength. You will be active and dynamic in your approach and will study hard to achieve favourable results. The time period post-April will be good for the law students, history students, and those who are pursuing Ayurveda or natural sciences. Jupiter which is the fifth lord will be transiting from your eighth house during this period and will aspect the rising sign and the second house of basic education and speech. This period will also be favourable if you are planning to move out of your natal place for studies, as you will be able to get admission to your desired university. The time period post-July will be good for those who are preparing for competitive examinations since the sixth lord of competition will be transiting in its own house during this period.

The transit of Saturn from the sixth house will bring strength and courage. Also, it will boost confidence, which will help in writing examinations. This year will not bring many good opportunities for the students who are planning to move overseas or getting admissions in the colleges of their choice in a foreign land.

You will have to wait for some time to find your desired university. According to the Yearly Education Horoscope 2022, the beginning of the year will bring some distractions to the students, due to the aspect of the twelfth house lord Mars on the Lagna. However, those who are pursuing foreign studies will have a comparatively better period, there are bright possibilities of getting admission to a good college. The time period from January mid till March will be favourable for students who are pursuing philosophy or research subjects due to the presence of Mars in your eighth house of depth. The aspect of Saturn in the fourth house after the first quarter of the year till July will bring some challenges in the studies of academic students.

Is 2021 A Good Year For Pisces Students The time period post-July will improve the focus and concentration of students, as they will have an urge into knowing more about the subjects and getting into the knick-knack of things. It is because of the aspect of eight house lord Jupiter in the fourth house of studies. Your fighting spirit will be good and you will be able to win any competition during this period. The end of the year will be productive for the students who are pursuing higher education or Ph.D. You will have a knack for plunging into the subjects and knowing everything in detail because your fifth house lord of studies will be transiting from the eighth house of deep secrets during this time period. This year will be average for the academic students as they may face challenges in their learning and will have to study really hard to achieve good results.

However, the period will be good for the college-going students and those who are planning for higher studies. As per the Education Horoscope 2022, the upcoming year will be good for the students. The beginning of the year may bring some challenges due to the aspect of Saturn in the fifth house.

The students will have to study harder than expected in order to obtain good results. However, after April things will start improving due to the two major transit i.e. of Saturn and Jupiter. The Saturn will transit from your twelfth house thus aspect your sixth house of competition, which will provide stamina in fighting spirit to the students to perform well in their competitive examinations. Also, Jupiter will be in your Zodiac sign which will provide knowledge, wisdom, and grace throughout the remaining year. Jupiter will aspect the fifth house of studies which will improve the inclination of students towards their subjects and they will truly dedicate their time in learning more and gaining bets of the knowledge.

This year will especially be auspicious for students who are into further studies or management courses. Also, those who are pursuing their hobbies and interests will have a favourable year as you will be able to get admissions to desired universities on the basis of your caliber. The time period post-April will also be good for those who are doing PhD or any scientific research since the Ketu will transit from your eighth house of deep secrets during this period. This will improve your skills and make you proficient in digging deep into your subjects. This year will also bring good support from the tutors and the elders of the family which will be a true encouragement to the student natives. The students who have an inclination towards literature or history will also be able to do well during the second half of the year.

As per the Yearly Horoscope 2022, the beginning of the year will be low and bring challenges in academic life for Cancer natives since Saturn will aspect the rising sign. The students will have to make loads of efforts to achieve good results, but their efforts will not be made in the right direction due to the week position of Jupiter. Furthermore, those who are preparing for competitive exams will find it tough to crack the examinations. Despite the fact that during the absolute beginning of the year Mars, the fifth house will be transiting in its own house after which it will transit from the sixth house of competition.

This will boost the confidence and fighting spirit of the students yet they will have to struggle hard for getting a good score. The time period from the mid of April will be good for academic students who wish to learn different languages as their side subjects. The Ketu transiting in their fourth house of learning will enhance their understanding and learning skills. Also, this time period will be good for the researchers and the scholars due to the presence of the fifth house lord Mars in the house of depth. Those who wish for foreign studies should make their efforts in the said direction in August, since the time period from mid-August till October will bring favourable results.

This is due to the transit of study house lords in the house of foreign lands. This transit of Mars will bring quick results if you plan or apply for studies abroad. As per the Education Predictions 2022, this year is going to demand loads of hard work from the students. Ketu will be in your rising sign till April which will bring troubles to the academic students.

Their interest and attention will be diverted and they will not be able to concentrate or focus on their studies. However, this period will be good for the researchers and PhD students as you will have a quest to know the core of everything which will help you in understanding the subject better. You will also make loads of effort in knowing the ground reality of everything, this will assist you in connecting you better to your subjects. Due to the presence of Saturn in your third house at the beginning of the year, you will have passion for your subjects and will strive hard to achieve desired results. Aso the academy students will score better in their written examinations. The time period from May till July will bring loads of challenges for the academic students due to the transit of Saturn in your fourth house.

The students will have to study really hard as their scores will be falling and they will face milestones in learning their subjects and furthermore retaining the things they learned with effort. The timeperiodpostJuly will be favorable especially for the students who are into history, humanities, literature, or litigation since Jupiter will be positioned in your fifth house of studies. This period will also be approved for the students who are planning for further studies or some vocational courses. This time period can also give a part-time employment to the student on the basis of their stream of work and knowledge. You will witness complete support from the tutors and elders, which will boost your confidence. Libra Education Horoscope 2022 reveals that this year will bring mixed results for Libra natives.

The beginning of the year will be challenging for the academic students. Due to the presence of Saturn in your fourth house, you will have loads of pressure to score well from the family. You will have to study really hard to prove yourself and graduate with flying colors. The time period from April onwards will bring some distractions and confusion for the students since Ketu will move to the first house in the mid of April. The time will be favourable for those who are planning to move out of their house or looking forward to foreign studies. As Rahu transiting in the seventh house will support traveling and movement from one place to another.

The students who are into political science, engineering, and litigation will have a commanding period., you will be able to study well and will have a good command over your subjects. Those who are stuck up with some selection of university or holding onto the selection of subjects will also be able to make the right choice during this period. Those who are into biology, sociology, psychology will have a favourable period post-April when Ketu will be in the rising sign. This period will also be favourable for researchers since the Ketu will give them strength and zest to dive into the subject and learn the essence of things. Those who wish to pursue medical will have to wait since this year will not bring good results for students who aspire to get through the medical.

Based on the results presented in the paper, what can be said about the external validity of the results and to what extent they reflect causality? In an international comparison, Nordic natives rank very low in cross-country comparisons of beliefs in the supernatural, including religion as well as astrology. As a consequence, we assert that the Nordic countries represent an optimal context to test astrological predictions about couples' relationship compatibility. More specifically, the examined astrological principles should be considered to be in operation regardless of whether an individual believes in them or is even aware of their implications. Individuals who do believe in them are, however, more likely to be aware of what they predict and therefore also allow them to influence their decisions.

If so, the estimate of the effect of relationship compatibility will not reflect a causal relationship. The examination of a context where the belief in astrology is comparatively low thereby ascertains that the influence of such sources of bias is minimized. According to the Education Horoscope 2022, the beginning of the year will be good. Sun the fifth house lord will aspect the fourth and fight the house of education from mid of January till mid of March. This will bring dynamism and confidence in the students, due to which they will be actively involved in their subjects and will be aggressive in their learning skills.

The academic students will perform better in their final examinations. The time period from May till July will be slow for the students who are planning for further studies since Saturn will aspect their fifth house of studies during this period. Therefore, it may bring some challenges in learning and also if planning for the admissions then it may bring some delays.