How export pandas dataframe as csv file - python pandas tutorial in hindi
In this article we will demonstrate how to export a pandas DataFrame as a csv file. Pandas is an excellent library for data analysis and manipulation, especially when working with data in the Python ecosystem. But what if you want to work with that data in another application or environment? For example, exporting your DataFrame as a csv file makes it easy to load that data directly into Excel or another spreadsheet program. This article provides a brief overview of several options along with code examples and detailed explanations of each option.
Export a Pandas Dataframe to CSV with python
The pandas.io.pyload function can be used to export a pandas DataFrame to a csv file. But first we need to import the pandas module. The code below demonstrates how to do this in Python 2 and 3. Python 2 Python 3 Next we create a DataFrame object to which we add several rows of data. The code below creates a DataFrame and adds several rows of data. Python 2 Python 3 Next we use the pandas.io.pyload function to export the DataFrame as a csv file. The code below shows how this is done. Python 2 Python 3
Export a Pandas Dataframe to CSV with pandas
The pandas.io.pydata function can be used to export a pandas DataFrame as a csv file. But first we need to import the pandas module. The code below demonstrates how to do this. Next we create a DataFrame object to which we add several rows of data. The code below creates a DataFrame and adds several rows of data. Next we use the pandas.io.pydata function to export the DataFrame as a csv file. The code below shows how this is done.
Export a Pandas Dataframe to Excel with xlrd
The Pandas xlrd module can be used to export a pandas DataFrame as an Excel file. But first we need to import the xlrd module. The code below demonstrates how to do this. Next we create a DataFrame object to which we add several rows of data. The code below creates a DataFrame and adds several rows of data. Next we use the xlrd.open function to export the DataFrame as an Excel file. The code below shows how this is done. Note that this example assumes that you have the pandas and xlrd modules installed on your computer. If not, you will need to install these modules before proceeding with the examples.
Export a Pandas Dataframe to Excel with xlwt
The pandas xlwt module can be used to export a pandas DataFrame as an Excel file. But first we need to import the xlwt module. The code below demonstrates how to do this. Next we create a DataFrame object to which we add several rows of data. The code below creates a DataFrame and adds several rows of data. Next we use the xlwt.create_workbook function to export the DataFrame as an Excel file. The code below shows how this is done. Note that this example assumes that you have the pandas and xlwt modules installed on your computer. If not, you will need to install these modules before proceeding with the examples.
Export a Pandas Dataframe to Comma-Separated Values (CSV) using sqlite3
The pandas sqldf module can be used to export a pandas DataFrame as a csv file. But first we need to import the sqldf module. The code below demonstrates how to do this. Next we create a DataFrame object to which we add several rows of data. The code below creates a DataFrame and adds several rows of data. Next we use the sqldf.write.csv function to export the DataFrame as a csv file. The code below shows how this is done. Note that this example assumes that you have the pandas and sqldf modules installed on your computer. If not, you will need to install these modules before proceeding with the examples.
Conclusion
Exporting a pandas DataFrame as a csv file is a simple process. The code examples above provide a quick overview of the various options for exporting a pandas DataFrame as a csv file. Each of the approaches demonstrated above can be used to export a pandas DataFrame as a csv file. However, the sqldf approach can be used to export a pandas DataFrame to other file formats as well.
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