Sqlalchemy pandasai. ) in natural language.
- Sqlalchemy pandasai. 4 to 2. Dec 12, 2019 · This article gives details about 1. This function does not support DBAPI connections. 2. You'll know how to use the method to_sql () to write DataFrames to database tables. read_sql # pandas. If you found this tutorial helpful, a small donation would be greatly appreciated to keep us in business. I have asked my usage related question on StackOverflow. 0 or higher. How to speed up the… ArslanSaleem commented on Apr 2 @gventuri In pandas 2. May 2, 2025 · Pandas: Using SQLAlchemy with Pandas Pandas, built on NumPy Array Operations, integrates seamlessly with SQLAlchemy, a powerful Python SQL toolkit and Object-Relational Mapping (ORM) library, to facilitate robust interactions with SQL databases. Through its powerful data preparation layer and intuitive natural language interface, you can 在使用Pandas-AI项目时，开发者可能会遇到 ImportError: cannot import name 'PandasAI' from 'pandasai' 的错误提示。这个问题通常与Python环境中的依赖版本不兼容有关，需要从多个角度进行分析和解决。 问题本质分析 这个导入错误表明Python解释器无法在pandasai模块中找到PandasAI类。这种情况通常由以下几种原因导致 Jan 17, 2024 · When dealing with databases, it's important to pay attention to data types to ensure that the table structure is preserved when saving a DataFrame from Python. 0意味着可以享受到这些改进带来的好处。 Apr 16, 2024 · 什么是PandasAI？一句话总结的话，PandasAI就是一个结合了Pandas和AI的开源工具，更详细地说，PandasAI 是一款强大的Python库，它使得用户能够以自然语言轻松向各类数据源（如CSV、XLSX、PostgreSQL、MySQL、BigQuery、Databricks及Snowflake等）提出问题。该库借助生成式人工智能技术，助力用户实现对数据的深度 Apr 7, 2023 · The just-released Pandas 2 version supports SQLAlchemy 2 for its connection and SQL library, which itself added support for Oracle Database’s Python driver’s new name, python-oracledb. 0, the read_sql function now mandates SQLAlchemy version 2. 0 a minimum requirement, sqlalchemy 1. It will delegate to the specific function Oct 20, 2023 · Pandasを使ったデータベースとの接続 このページでは python でDBを扱う方法を紹介します。 今回はsqlAlchemyを使ってpandasのdataframeにDBの値を格納する方法を紹介します。 使用するライブラリ pandas python上でExcelのような表形式のデータを簡単に高速で扱うことが可能なライブラリです。 DBから Oct 18, 2023 · はじめに Pythonを使ってデータベースを操作する際、SQLAlchemyとPandasは非常に便利なツールです。SQLAlchemyはPythonのオープンソースのORM（Object Relational Mapp … Oct 20, 2024 · 其中，SQLAlchemy和Pandas是两个非常受欢迎的库，前者用于数据库连接和操作，后者用于数据处理和分析。 本文将详细介绍如何将这两个库结合使用，以高效地读取数据库数据。 pandas. types import String obj_cols = pandasDF. Jul 27, 2020 · Pandas で SQL からデータを読み込むにはどうすれば良いだろうか? pandas. “[Python] 使用SQLAlchemy與Pandas讀寫資料庫” is published by SH Tseng in Leonard like a robot. In summary, Pandasql provides SQL-like querying capabilities directly on Pandas DataFrames, offering seamless integration with the Pandas library. read_sql_query を読むと、どうやら SQL 文をそのまま書く方法と、SQLAlchemy という OR マッパを使う方法と二つがあったので、両方試してみた。例えばこんな感 PandasAI是一个给pandas加持了大模型能力的Python库，可以提升你的数据分析和处理能力。 本教程包含两部分： 第一部分对PandasAI Jun 22, 2022 · In this article, we will see how to convert an SQLAlchemy ORM to Pandas DataFrame using Python. 0. Jan 24, 2024 · While Pandas 2. e. execute Asked 11 years, 10 months ago Modified 8 months ago Viewed 183k times sqlalchemy, a db connection module for Python, uses SQL Authentication (database-defined user accounts) by default. pandas. to_sql using an SQLAlchemy 2. Apr 16, 2018 · I understand we can use SQLAlchemy to import data from the database. Dec 28, 2016 · You can use sqlalchemy String type instead of the default Text type after identifying the object columns present in the dataframe. You can convert ORM results to Pandas DataFrames, perform bulk inserts, filter by substrings, use aggregate functions, and work with single-column query results. 4 engine takes about 10X longer on average. DataFrame. Aug 14, 2015 · I didn't downvote, but this doesn't really look like a solution that utilizes pandas as desired: multiple process + pandas + sqlalchemy. With detailed examples and explanations, users can efficiently perform database operations while ensuring data MySQL读取框架——使用SQLAlchemy、MySQL和Pandas 在本文中，我们将介绍如何使用SQLAlchemy、MySQL和Pandas来读取MySQL数据库，并将数据转换为Pandas数据框架。 MySQL是一个流行的关系型数据库，Pandas是一个流行的Python数据分析库。 Mar 11, 2018 · The documentation from April 20, 2016 (the 1319 page pdf) identifies a pandas connection as still experimental on p. We need to have the sqlalchemy as well as the pandas library installed in the python environment - $ pip install sqlalchemy $ pip install pandas For our example, we will make use of the MySQL database where we have already created a table named students. This function is a convenience wrapper around read_sql_table and read_sql_query (for backward compatibility). The function starts by getting a DBAPI connection from the SQLAlchemy connection object and creating a This broader ecosystem provides users with a rich set of resources and tools to enhance their SQLAlchemy experience. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language. You'll learn to use SQLAlchemy to connect to a database. to_sql(name, con, *, schema=None, if_exists='fail', index=True, index_label=None, chunksize=None, dtype=None, method=None) [source] # Write records stored in a DataFrame to a SQL database. The following is a basic code snippet to save a DataFrame to an Oracle database using SQLAlchemy and pandas: import pandas as pd from Dec 28, 2017 · The pandas developers went back and forth on this issue for a while, but eventually they seemed to back away from the multi-row insert approach, at least for a mssql+pyodbc SQLAlchemy engine. read_sql(sql, con, index_col=None, coerce_float=True, params=None, parse_dates=None, columns=None, chunksize=None, dtype_backend=<no_default>, dtype=None) [source] # Read SQL query or database table into a DataFrame. read_sql(query Jul 23, 2025 · Bulk data Insert Pandas Data Frame Using SQLAlchemy: We can perform this task by using a method “multi” which perform a batch insert by inserting multiple records at a time in a single INSERT statement. For at least the last couple of years pandas' documentation has clearly stated that it wants either a SQLAlchemy Connectable (i. Apr 9, 2015 · Is there a solution converting a SQLAlchemy <Query object> to a pandas DataFrame? Pandas has the capability to use pandas. Learn best practices, tips, and tricks to optimize performance and avoid common pitfalls. But effectiveness (time) for this method is very poor even compared from a default method. The process involves extracting the data from the ORM objects and creating a DataFrame using pandas. Master extracting, inserting, updating, and deleting SQL tables with seamless Python integration for data management May 27, 2025 · pandas. Can I write this data to Redshift as a new table? I have successfully created a db connection to Redshift and am able to execute simple sql queries. Sep 4, 2024 · 次のページを参考にしました。 SQLAlchemy2. PandasAI provides a number of connectors that allow you to connect to different data sources. 0 or above. This change thus likely breaks a lot of existing code. SQLAlchemy作为Python生态中最强大的ORM工具之一，其2. I created a connection to the database with 'SqlAlchemy': from sqlalchemy import create_engine engine = create_e Sep 30, 2024 · 结合 SQLAlchemy 和 Pandas，你可以方便地从数据库提取、处理和保存数据。 如果你有具体的数据库结构或需要解决的问题，请告诉我，我可以提供更有针对性的示例！ PandasAI mission is to make data analysis and manipulation more efficient and accessible to everyone. SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper. 4 does indeed let fast_executemany do its thing. Tables can be newly created, appended to, or overwritten. I cant pass to this method postgres connection or sqlalchemy engine. Now I need to writ Jun 1, 2024 · To allow for simple, bi-directional database transactions, we use pyodbc along with sqlalchemy, a Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. co Mar 6, 2023 · Describe the bug Compared to SQLAlchemy==1. With pyodbc and sqlalchemy together, it becomes possible to retrieve and upload data from Pandas DataFrames with relative ease. Upgrading from sqlalchemy 1. All proceeds go towards coffee, and all coffee goes towards more content. Aug 25, 2010 · How can I call stored procedures of sql server with sqlAlchemy? Jul 19, 2015 · How to load data into existing database tables, using sqlalchemy? Asked 10 years ago Modified 3 years, 10 months ago Viewed 16k times Aug 13, 2013 · sqlalchemy. columns. Optionally provide an index_col parameter to use one of the columns as the index, otherwise default Feb 18, 2022 · In today’s post, I will explain how to perform queries on an SQL database using Python. Jan 26, 2022 · In this article, we will discuss how to create a SQL table from Pandas dataframe using SQLAlchemy. 总结 通过以上步骤，我们使用了SQLAlchemy和pandas将数据成功地写入了MySQL数据库。这种方法虽然简单，但是需要注意以下几点： SQLAlchemy和pandas需要单独安装 MySQL的驱动需按要求安装 需要有表的结构来存储数据 to_sql方法中的if_exists参数需要谨慎设定，以避免误操作。 致力于减少尽可能多的人为错误 重点参数 sql 表名或查询语句 con 数据库连接对象, 对于sqlalchemy来说是Engine对象 一般参数 index_col 用作索引的一列或多列 字符串或字符串的列表, 可选, 默认为None. SQLAlchemy serves as an Object Relational Mapper Jul 3, 2018 · Save Pandas DataFrames into SQL database tables, or create DataFrames from SQL using Pandas' built-in SQLAlchemy integration. You'll be able to load an entire table into a DataFrame using read_sql_table (). However, I can't find any documentation, examples or tutorials that show how to combine multiple where conditions. I have a query that looks similar to: Feb 1, 2012 · I'm having difficulties writing what should be a simple SQL update statement in SQLAlchemy Core. engine Feb 18, 2022 · Different ways of performing operations on an SQL database from Python. Feb 26, 2024 · I think there might be something going on with pandas/sqlalchemy… I am running into the same error but in a jupyter notebook environment with code I have been Pandas SQLAlchemy ORM转换为pandas DataFrame 在本文中，我们将介绍如何将SQLAlchemy ORM对象转换为 pandas DataFrame。Python中的SQLAlchemy ORM框架提供了一种便捷的方式来处理关系型数据库。pandas库提供了一个强大的工具来处理数据，并且能够与SQLAlchemy ORM框架无缝集成。 阅读更多： Pandas 教程 SQLalchemy ORM框架简介 Learn the best techniques to load large SQL datasets in Pandas efficiently. - sinaptik-ai/pandas-ai Apr 16, 2023 · Let me show you how to use Pandas and Python to interact with a SQL database (MySQL). different ways of writing data frames to database using pandas and pyodbc 2. Dec 21, 2024 · 文章浏览阅读4. Chat with your database or your datalake (SQL, CSV, parquet). Jul 15, 2016 · I have a dataframe in Python. 5 (main, Aug 9 2024, 08:20:41) [GCC 14. Nov 14, 2023 · These commands fetch and install the latest versions of pipenv, pandas, and SQLAlchemy, setting the stage for our data operations. 1 20240805] on What is PandasAI? PandasAI is an open-source framework that brings together intelligent data processing and natural language analysis. The cleanest approach is to get the generated SQL from the query's statement attribute, and then execute it with pandas's read_sql() method. 4. By Oct 20, 2024 · 其中，SQLAlchemy和Pandas是两个非常受欢迎的库，前者用于数据库连接和操作，后者用于数据处理和分析。 本文将详细介绍如何将这两个库结合使用，以高效地读取数据库数据。 What is PandasAI? PandasAI is an open-source framework that brings together intelligent data processing and natural language analysis. If you want to use your Windows (domain or local) credentials to authenticate to I'm writing a quick and dirty maintenace script to delete some rows and would like to avoid having to bring my ORM classes/mappings over from the main project. Query to a Pandas data frame. PandasAI makes data analysis conversational using LLMs and RAG. Feb 11, 2022 · Is pyodbc becoming deprecated? No. read_sql_query を読むと、どうやら SQL 文をそのまま書く方法と、SQLAlchemy という OR マッパを使う方法と二つがあったので、両方試してみた。例えばこんな感 Mar 21, 2022 · Besides SQLAlchemy and pandas, we would also need to install a SQL database adapter to implement Python Database API. pandas 0. 4 is still a widely used and maintained release. read_sql_query # pandas. data_iter is iterable that provides the values to be inserted. What is PandasAI? PandasAI is an open-source framework that brings together intelligent data processing and natural language analysis. engine Jul 3, 2018 · Save Pandas DataFrames into SQL database tables, or create DataFrames from SQL using Pandas' built-in SQLAlchemy integration. Decimal)转换为浮点数 parse_dates list或dict, 默认为None - 要解析为日期的列名列表 - {column_name Jul 3, 2018 · Easily drop data into Pandas from a SQL database, or upload your DataFrames to a SQL table. It creates an SQLAlchemy Engine instance which will connect to the PostgreSQL on a subsequent call to the connect () method. read_sql_query(sql, con, index_col=None, coerce_float=True, params=None, parse_dates=None, chunksize=None, dtype=None, dtype_backend=<no_default>) [source] # Read SQL query into a DataFrame. This combination enables efficient reading from and writing to databases like SQLite, PostgreSQL, MySQL, and others, using Pandas DataFrames. I have two reasons for wan Jul 27, 2020 · Pandas で SQL からデータを読み込むにはどうすれば良いだろうか? pandas. Mar 12, 2025 · Learn how to connect to SQL Server and query data using Python and Pandas. 872. Through its powerful data preparation layer and intuitive natural language interface, you can Apr 9, 2015 · Is there a solution converting a SQLAlchemy <Query object> to a pandas DataFrame? Pandas has the capability to use pandas. g. This is crucial for sharing results, building more complex applications, and integrating with other tools that rely on relational databases. " which doesn't make much sense in that context. Particularly, I will cover how to query a database with SQLAlchemy, Flask-SQLAlchemy, and Pandas. But why would one choose SQLAlchemy to manipulate data when you can simply just import it and convert it to a dataframe and then manipulate it using pandas and other python libraries. Use the dtype argument in to_sql and supply a dictionary mapping of those columns with the sqlalchemy. select_dtypes(include=[object]). Mar 1, 2025 · 希望本文能够作为读者探索pandas和SQLAlchemy结合使用的起点，开启数据处理和ETL操作的新篇章。 Hackers and Slackers tutorials are free of charge. These connectors are designed to be easy to use, even if you are not familiar This comprehensive guide provides step-by-step instructions for managing SQLite databases using Pandas DataFrames and SQLAlchemy in Python. Mar 1, 2021 · Use pandas to do joins, grouping, aggregations, and analytics on datasets in Python. I have two reasons for wan Aug 19, 2024 · Converting SQLAlchemy ORM to pandas DataFrame Now that we have retrieved the employee records using SQLAlchemy ORM, we can convert them to a pandas DataFrame for further analysis and manipulation. Nov 6, 2024 · Enter SQLAlchemy, one of the most powerful and flexible ORMs available for Python. (The switch-over to SQLAlchemy was almost universal, but they continued supporting SQLite connections for backwards Apr 25, 2017 · How to create sql alchemy connection for pandas read_sql with sqlalchemy+pyodbc and multiple databases in MS SQL Server? 20200813更新. String as shown: from sqlalchemy. to_sql # DataFrame. con sqlalchemy. 2 Release Notes declare sqlalchemy > 2. Dec 22, 2011 · I'm trying to do this query in sqlalchemy SELECT id, name FROM user WHERE id IN (123, 456) I would like to bind the list [123, 456] at execution time. If you 除了生成图表，PandasAI还可以基于Pandas的DataFrame进行问答式分析，你可以用来查询汇总数据、生成报告，开展统计分析、数据挖掘等工作。 PandasAI以其强悍的数据处理能力和智能分析功能，正在成为越来越多数据科学工作者的首选工具。 Jan 11, 2015 · I want to query a PostgreSQL database and return the output as a Pandas dataframe. Learn to use SQLAlchemy, Flask, and Pandas to read and write to a DB This context provides a comprehensive guide on how to connect to SQL databases from Python using SQLAlchemy and Pandas, covering installation, importing libraries, creating connections, running SQL queries, and storing SQL tables in a Pandas data frame. OperationalError) unable to open database file I was attempting to use the following configuration from their documentation: Welcome to Stack Overflow! I hate to nitpick, but the question here is, "How to join several tables by one query in SQLAlchemy?" You start off your answer with, "We can achieve the joins (extracting data from multiple tables) using SQLAlchemy. engine Nov 27, 2024 · Example of querying an Oracle database using Python, SQLAlchemy, and Pandas - oracle-query. SQLTable object that represents the table in the database. This includes making it easier to connect to data sources and to use them in your data analysis and manipulation workflow. exc. Jun 27, 2023 · To read sql table into a DataFrame using only the table name, without executing any query we use read_sql_table () method in Pandas. 0以降を使ってread_sqlする方法 確認したバージョン $ python Python 3. Mar 11, 2025 · Python for data engineering using attrs, sqlalchemy, and pandas for creating scalable and robust pipelines. Whether you’re working with complex datasets or just starting your data journey, PandasAI provides the tools to define, process, and analyze your data efficiently. OperationalError: (sqlite3. This combination enables users to efficiently manage and analyze large datasets stored in relational databases. 今回はSQLAlchemyとPandasを使いCSVファイルを作成していきたいと思います。 データベースの種類は豊富であれもこれもと操作するのはキャパシティ的に限界なところがある。 pandas. Jul 22, 2025 · SQLAlchemyは、Pythonから様々なデータベースを操作するための強力なライブラリで、Pandasの to_sql() も内部的にはSQLAlchemyの力を借りているんだ。 SQLAlchemyには、SQL文を直接実行せずに、生成されたSQLを文字列として取得するための仕組みが用意されているんだ。 Feb 18, 2024 · 为什么选择 Pandas AI？ 易用性：Pandas AI保持了Pandas的简洁语法，使得即使是编程新手也能轻松上手。 功能强大：集成了多种机器学习和深度学习算法，支持从数据预处理到模型训练的全流程。 高效率：优化了数据处理和算法执行的性能，即使是大规模数据集也能快速处理。 01 快速开始 让我们通过 Jan 18, 2024 · 文章浏览阅读2. With that all dond, your virtual environment should be ready! Mar 21, 2022 · Learn how to connect to SQL databases from Python using SQLAlchemy and Pandas. , an Engine or Connection object), a string containing a SQLAlchemy connection URL, or a SQLite DBAPI connection. 0 is not trivial and therefore many projects using both pandas and Mar 11, 2025 · Python for data engineering using attrs, sqlalchemy, and pandas for creating scalable and robust pipelines. Returns a DataFrame corresponding to the result set of the query string. Explore naive loading, batching with chunksize, and server-side cursors to optimize memory usage and improve performance. Python, SQLAlchemy pass parameters in connection. Databases supported by SQLAlchemy [1] are supported. , starting with a Query object called query: df = pd. However, upgrading SQLAlchemy may cause certain connectors to break, as they do not yet support SQLAlchemy 2. For example, we need to install "psycopg2" or "pg8000" for PostgreSQL, "mysql-connector-python" or "oursql" for MySQL, "cx-Oracle" for Oracle SQL Database, "pyodbc" or "pymssql" for Microsoft SQL Server and others. 6k次，点赞20次，收藏16次。PandasAI是使数据分析变得富有对话性和有趣的库，利用pandas数据框和先进LLMs功能。介绍了其设置方法，SmartDataframe可继承pandas数据框并添加对话功能，还能绘制图表。此外，支持多数据框处理，可使用不同LLM，且提供多种连接器连接不同数据源。 pandas. 12. conn is an SQLAlchemy connection object to the database keys is a list of column names. Nov 18, 2024 · Integrating SQLAlchemy with Pandas unlocks a powerful synergy that allows data analysts to leverage the best of both worlds: the robust database interaction capabilities of SQLAlchemy and the rich data manipulation features of Pandas. 3. sqltypes. ) in natural language. I have confirmed this bug exists on the latest version of pandas. coerce_float 尝试把非字符串, 非数值的对象(如decimal. Hackers and Slackers tutorials are free of charge. org PandasAI is a Python library that makes it easy to ask questions to your data (CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc. Python’s pandas library, with its fast and flexible data structures, has become the de facto standard for data-centric Python applications, offering a rich set of built-in facilities to analyze details of structured data. If you are using SQLAlchemy's ORM rather than the expression language, you might find yourself wanting to convert an object of type sqlalchemy. to_sql method, but it works only for mysql, sqlite and oracle databases. Jul 3, 2023 · Discover how to use the to_sql() method in pandas to write a DataFrame to a SQL database efficiently and securely. 5k次，点赞27次，收藏35次。PandasAI 是一个 Python 库，它让您可以轻松地使用自然语言向数据提问。除了查询功能外，PandasAI 还提供了通过图表可视化数据、通过处理缺失值来清理数据集以及通过特征生成来提高数据质量的功能，使其成为数据科学家和分析师的综合工具_pandasai 使用SQLAlchemy从Pandas数据框架创建一个SQL表 在这篇文章中，我们将讨论如何使用SQLAlchemy从Pandas数据框架创建一个SQL表。 作为第一步，使用SQLAlchemy的create_engine ()函数与你现有的数据库建立连接。 Feb 11, 2023 · table is a pandas. . query. to_sql Feb 25, 2023 · Research I have searched the [pandas] tag on StackOverflow for similar questions. The same is observed creating the Writing a pandas DataFrame to a PostgreSQL table: The following Python example, loads student scores from a list of tuples into a pandas DataFrame. Jan 14, 2025 · Learn how to use the SQLAlchemy dialect for Databricks, included with the Databricks SQL Connector for Python, to use SQLAlchemy to read and write Databricks SQL on Databricks compute resources. This tutorial covers establishing a connection, reading data into a dataframe, exploring the dataframe, and visualizing the data. It covers essential operations including setting up the database, creating tables, inserting, querying, merging, updating, and deleting data. Pandas - High-performance, easy-to-use data structures and data analysis tools for the Python programming language. Feb 7, 2025 · 背景 之前公司用的是Orcale数据库，很多IDE都能快速连接，后面公司为了响应国产化号召，改用达梦数据库，想要链接到常用的IDE就比较麻烦，故在此记录自己的操作。因为本人是做数据分析的，主要是使用Python语言，所以就用Pycharm连接与操作达梦数据库。 一、在Pycharm中直接使用SQL脚本 想要直接在 Apr 28, 2022 · There is DataFrame. tolist() pandasDF. sql. Software, Data, Life Note. E. 46, writing a Pandas dataframe with pandas. 0版本带来了诸多架构改进和性能优化。新版本采用了更简洁的API设计，移除了大量遗留代码，使得核心更加精简高效。对于使用PandasAI进行数据分析的开发者而言，能够直接使用SQLAlchemy 2. read_sql but this requires use of raw SQL. Link to question on StackOverflow https://stackoverflow. Usually during ingestion, especially with larger data sets, there will be a temporary location to store the data in the database and then massage that data (delete/back-populate) before an insert/update. to_sql() provides a convenient way to transfer your data analysis work conducted in pandas to a persistent and powerful database system. io. orm. Mine is SQLAlchemy which is the default. values. Now, SQLALCHEMY/PANDAS - SQLAlchemy reading column as CLOB for Pandas to_sql is about specifying the SQL type. Built on top of other core Python libraries, such as NumPy, SQLAlchemy, and Matplotlib Jan 24, 2024 · Pandas version checks I have checked that this issue has not already been reported. consqlalchemy. 23. Parameters: namestr Name of SQL table. Apr 16, 2023 · Let me show you how to use Pandas and Python to interact with a SQL database (MySQL). Through its powerful data preparation layer and intuitive natural language interface, you can Jul 23, 2025 · SQLAlchemy Core focuses on SQL interaction, while SQLAlchemy ORM maps Python objects to databases. I have confirmed this bug exists on the main br Jul 29, 2025 · Introduction SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. As the first steps establish a connection with your existing database, using the create_engine () function of SQLAlchemy. exzcx vleyp nuxufvj bpaq rjbqdx hihyobi wyiui fiym jmup eyb