How to run pycharm code with data

The steps to run code with data in PyCharm are as follows: Create a data source (data source type, settings); use Pandas to create a data frame (read data source data); run the code (pass the data frame name as Parameters); View the results (the data frame is in the Python console and can be operated interactively).

Running code with data in PyCharm

Running code with data in PyCharm is very simple , just follow these steps:

1. Create a data source

• Open PyCharm and create a new Python project.
• In the "File" menu, select "New" > "Database Tools and Data Sources".
• In the "Data Source" window, click the " " sign and select the type of data source to create (for example, MySQL, PostgreSQL).
• Configure data source settings, including host, port, username and password.

2. Create a data frame

• Use the Pandas library to create a data frame and read data from the data source.
• In Python code, use the following code:

import pandas as pd

# 连接到数据库并创建一个数据帧
df = pd.read_sql_query('SELECT * FROM table_name', connection)

3. Run the code

• In the "Run" menu , select "Configure Run/Debug".
• In the "Python Console" tab, make sure the "Pass Parameters" option is checked.
• In the Parameters field, enter the name of the data frame.
• Click Apply and run the code.

4. View the results

• After running the code, the data frame will be displayed in the "Python Console".
• You can use interactive commands to interact with the data frame, such as printing, filtering, or manipulating the data.

Tip:

• Make sure PyCharm has the Pandas library installed correctly.
• Using PyCharm's database tool window, you can easily manage and query data sources.
• You can debug the code and understand the data processing process by setting breakpoints in "Run/Debug Configuration".

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