Pandas Read Multiple Excel Files

Intro to Pandas for Excel Super Users. Openpyxl is a Python module to deal with Excel files without involving MS Excel application software. You can import everything from CSV and Excel files to the whole content of HTML files!. columns[11:], axis=1) To drop all the columns after the 11th one. Microsoft Excel can help turn this confused jumble into neat rows and columns. Pandas is shipped with built-in reader methods. Merging multiple data files into one large file. dat file) with Pandas How do I read the following (two columns) data (from a. To read csv file use pandas is only one line code. The Python library pandas is a great alternative to Excel, providing much of the same functionality and more. If you are using Anaconda, pandas must be already installed. I have not been able to figure it out though. Have a look, if you want. A common task for python and pandas is to automate the process of aggregating data from multiple files and spreadsheets. The “Data Analysis” tab should then appear in the “Data” menu as shown above. In our last python tutorial, we studied How to Work with Relational Database with Python. py , you should install pandas and xlrd before you use it. Here is a template that you may apply in Python to export your DataFrame: df. Here, Pandas read_excel method read the data from the Excel file into a Pandas dataframe object. 19 Essential Snippets in Pandas Aug 26, 2016 After playing around with Pandas Python Data Analysis Library for about a month, I've compiled a pretty large list of useful snippets that I find myself reusing over and over again. I hit a bit of a wall, however. I have multiple data frames with same column names. Merge multiple CSV (or XLS) Files with common subset of columns into one CSV¶ Note This example can be found in the source distribution in examples/merge_multiple_files directory. Read and follow the code, and then run:. In this section, we will learn how to work with Excel data using pandas and use pandas'read_excelmethod for reading data from Excel files. By using the open() function and a simple loop, you can cycle through a list of file names and assign a variable with a reference to that file, storing it for later use. xls) files using the xlwt package. This will let us read it into memory, and then start messing with it. That's definitely the synonym of "Python for data analysis". If you are using Anaconda, pandas must be already installed. Fortunatelly, I found the paper "How to import and merge many Excel files; each with multiple sheets of data for statistical analysis. The first row. I’d love to be able to wow you with how complicated reading an Excel file is, but the difference between the Excel file reading and CSV is one word – excel. I got a call from a friend who wanted to combine multiple Excel files into one Excel workbook. Now the file with XLSX format can be read in easily in Excel but how to read file in Python with XLSX file format. The screenshot above of a jumble of comma-separated values in a Notepad file is a good example. While each file is structured the same, the information within sheet 1 and 2 (for example) is different. If you know that you only have one sheet in your Excel file, you may do the following. If a file is opened in write mode, you can write ASCII or binary data to it. How to read XML file into pandas dataframe using lxml This is probably not the most effective way, but it's convenient and simple. That includes learning how to use Python to batch download and extract the data files, load thousands of files in Python via pandas, cleaning the data, concatenating and joining data from different sources, converting between fields, aggregating, conditioning, and many more data processing operations. One of the easiest ways to think about that, is that you can load tables (and excel files) and then slice and dice them in multiple ways: Pandas allows us to load a spreadsheet and manipulate it programmatically in python. In this case, we need to use the 'python' processing engine, instead of the underlying native one, in order to avoid warnings. Get the list of column headers or column name in python pandas In this tutorial we will learn how to get the list of column headers or column name in python pandas using list() function. read_excel() reads the first sheet in an Excel workbook. I have a dataset I really care about to learn with, so I'm looking forward to progressing. It works great. Feel free to download the excel file into your project folder to get started, or run the curl command below. Hi, I need to read multiple sheets of same format of an excel file and combine them into a single table. xlsx' # Load the first sheet of the Excel file into a data frame df = pd. We will read and explore a real Excel dataset and explore some of the advanced options available for parsing Excel data. Reading Text Files. "Learn python for data analysis" is a constant refrain for those looking to develop their data analysis skills. This week we discussed why pandas is better than Excel, the multiple types of data files you can import into pandas, and how to use Matplotlib — an add-on program that helps to visualize data on pandas. sheet_names. For this, you can either use the sheet name or the sheet number. Read xls and xlsx files. It was born from lack of existing library to read/write natively from Python the Office Open XML format. Reading multiple files to build a DataFrame It is often convenient to build a large DataFrame by parsing many files as DataFrames and concatenating them all at once. I need some help with the for loop and building a concatenated dataframe: Here is what I have so far:. xlsx”, sheetname=number) Get unlimited access to the best stories on Medium — and support writers. The first of the new writer engines to be added is XlsxWriter. Pandas writes Excel files using the Xlwt module for xls files and the Openpyxl or XlsxWriter modules for xlsx files. In our lab environment, all the necessary libraries are installed. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. The Excel stores data in the tabular form. read_csv function - reads to a pandas data frame, is very powerful, and can handle huge data sets. read_excel() function to save a step here. read_csv() twice to read two CSV files---sales-jan-2015. Now the file with XLSX format can be read in easily in Excel but how to read file in Python with XLSX file format. py [OPTIONS] INPUTFILE Convert a Excel file with multiple sheets to several file with one sheet. read_excel() calls excel_format() to determine if path is xls or xlsx, based on the file extension and the file itself, in that order. In short, Excel is great for certain tasks but becomes unwieldy and inefficient as the tasks become more complicated. Read an Excel file into a pandas DataFrame. csv') # Drop by row or column index my_dataframe. Merge multiple CSV (or XLS) Files with common subset of columns into one CSV¶ Note This example can be found in the source distribution in examples/merge_multiple_files directory. Any files that are places in this directory will be immediately available to the Python file open() function or the Pandas read csv function. Read Excel File. Those are just headings and descriptions. In this tutorial you're going to learn how to work with large Excel files in Pandas, focusing on reading and analyzing an xls file and then working with a subset of the original data. Also I need to read multiple excel files of a folder and combine them. In fact, this is still the advice in Chapter 8 of the R. pandas is a powerful data analysis package. To make this easy, the pandas read_excel method takes an argument called sheetname that tells pandas which sheet to read in the data from. Alert: Welcome to the Unified Cloudera Community. For this, you can either use the sheet name or the sheet number. py, using a function to make it easy to display many sum problems. xlsx extension, and use the pandas. columns[:11]] This will return just the first 11 columns or you can do: df. python,pandas. Read binary data from a file. pandas有强大的excel数据处理和导入处理功能,本文简单介绍pandas在csv和excel等格式方面处理的应用及绘制图表等功能。pandas处理excel依赖xlutils. The following are code examples for showing how to use pandas. I created a second csv files with no headers, hubble_data_no_headers. I'm aware this need can be solved in even one line of Python, but loading. read_excel These are the method header: pandas. Working with Python Pandas and XlsxWriter. read_csv(filename) | From a CSV file pd. The “Data Analysis” tab should then appear in the “Data” menu as shown above. Now I want to loop through multiple excel files, preform the same reformat, and place the newly reformatted data from each excel sheet at the bottom, one after another. You might have multiple Excel or CSV files that share the same data structure (same columns) and are stored in the same folder. Working with data requires to clean, refine and filter the dataset before making use of it. plot() Method 164 Modifying Aesthetics with Templates 165 Bar Graphs 166 Pie Charts 167 Histograms. xlsx extension, and use the pandas. Read binary data from a file. How to import multiple text files from a folder into one worksheet? For instances, here you have a folder with multiple text files, what you want to do is to import these text files into a single worksheet as below screenshot show. xlsx” # the extension must be xlsx if you want to open the file MS Excel. ExcelFile(). To read multiple files using Pandas, we generally need separate DataFrames. For this, you can either use the sheet name or the sheet number. Right click on one of the selected tabs, and choose Move or Copy. You can vote up the examples you like or vote down the ones you don't like. When you need to work with a large data sets read only and write only modes will be very useful. In the first example of this Pandas read CSV tutorial we will just use read_csv to load CSV to dataframe that is in the same directory as the script. drop ([0, 1]) Drop by Label:. import pandas as pd # Read the excel sheet to pandas dataframe DataFrame = pd. read_excel(). The disadvantage is that they are not as efficient in size and speed as binary files. We will pass the name of the Excel file and the sheet number we need to read data from to the read_excel() method. Load password protected Excel files into Pandas DataFrame 1 minute read When trying to read an Excel file into a Pandas DataFrame gives you the following error, the issue might be that you are dealing with a password protected Excel file. How I imported many Excel files into Python and then exported one text file. read_excel (r'Path where the Excel file is stored\File name. They are extracted from open source Python projects. To load a single sheet of the Excel file into Python, we'll use the read_excel function: import pandas as pd sales_data=pd. read_excel(r'C:\Users\Craig\Downloads\Sample - Superstore Sales (Excel). DataSet2) in chunks to the existing DF to be quite feasible. Pandas is shipped with built-in reader methods. Methods to read data are all named. This is not strictly necessary, but a working habit I prefer. xlsx', has two sheets: 'Session1', and 'Session2. Although we used it to read/load a csv file, Comma Separated Value file, the function read_csv can read files separated by anything. Thanks for the report, this is a duplicate of #11733, definitely would like to solve this. The corresponding worksheets from each Excel file are named exactly the same as are the column headers. Often, you'll work with data in Comma Separated Value (CSV) files and run into problems at the very start of your workflow. In this video, learn how to export data to CSV, JSON, and Excel files. In this tutorial you're going to learn how to work with large Excel files in Pandas, focusing on reading and analyzing an xls file and then working with a subset of the original data. Read and follow the code, and then run:. Reading and Writing the Apache Parquet Format¶. Go to Excel data Click me to see the sample solution. 39 Responses to “Python: iterate (and read) all files in a directory (folder)” Dt Says: December 23rd, 2008 at 11:38. It is widely used in many different applications all over the world. XlsxWriter can be used to write text, numbers, formulas and hyperlinks to multiple worksheets and it supports features such as formatting and many more, including: 100% compatible Excel XLSX files. For this specific case, we can use the sheet_name parameter to streamline the reading in of all the sheets in our Excel file. But this is a different story. Reading and writing data in Excel format Pandas supports reading data in Excel 2003 and newer formats, using the pd. read_excel() is also quite slow compared to its _csv() counterparts. read_csv: how to skip empty lines. read_* where * is the file type. Openpyxl is a Python module to deal with Excel files without involving MS Excel application software. It provides easy access to analyze and maintain the data. Fortunatelly, I found the paper “How to import and merge many Excel files; each with multiple sheets of data for statistical analysis. They are extracted from open source Python projects. Write a Pandas program to find the sum, mean, max, min value of 'Production (short tons)' column of coalpublic2013. Is it possible to read multiple tables from a sheet excel file using pandas ? Something like: read table1 from row0 until row100 read table2 from row 102 until row202. API Reference. Write a Pandas program to read specific columns from a given excel file. Read xls and xlsx files. txt etc) on the second worksheet named 'Filtered' and save it along with its original contents. As advertised, we only need one Python library to execute this task: Pandas! Our data is an Excel file with several tabs. Questions: I want to read a. OpenPyXL covers more advanced features of Excel such as charts, styles, number formatting and conditional formatting. Using Pandas and XlsxWriter to create Excel charts An introduction to the creation of Excel files with charts using Pandas and XlsxWriter. The sample Excel data we’ll be using is available on Tableau’s Community page. xlsx” # the extension must be xlsx if you want to open the file MS Excel. By default pd. read_csv(filenames) df. The other sheets are not used within the example code for this post. Any files that are places in this directory will be immediately available to the Python file open() function or the Pandas read csv function. This is how we read that file:. The paper is really worth reading and gives a very comprehensive description on the subject matter. Multiple Function Parameters¶ A function can have more than one parameter in a parameter list separated by commas. It is used extensively in different operations from data copying to data mining and data analysis by computer operators to data analysts and data. read_table method seems to be a good way to read (also in chunks) a tabular data file. In this section of the Pandas read excel tutorial, we are going to learn how to read multiple sheets. Posted on May 16, If you read this file with Pandas library, and look at the content of your dataframe, you have 2 rows. For example, you can create pivot tables and charts, or you can import records such as name-and-address contact lists in other software programs for further analysis. For reading the HTML file, you can use BeautifulSoup library. Thanks for the report, this is a duplicate of #11733, definitely would like to solve this. xlsx extension. Load DataFrames from a Microsoft Excel file # Each Excel sheet' in a Python dictionary workbook = pd. You can save it column-wise, that is side by side or row-wise, that is downwards, one dataframe after the other. Apply the pandas groupby facility to slice, dice, and summarize datasets Measure data by points in time, whether it’s specific instances, fixed periods, or intervals Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples. In our lab environment, all the necessary libraries are installed. Creating a Pandas DataFrame from an Excel file While many people will tell you to get data out of Excel as quickly as you can, Pandas provides a function to … - Selection from Python Business Intelligence Cookbook [Book]. For this, you can either use the sheet name or the sheet number. read_excel(io, sheet_name=0,. Read Excel column names We import the pandas module, including ExcelFile. 39 Responses to “Python: iterate (and read) all files in a directory (folder)” Dt Says: December 23rd, 2008 at 11:38. read_csv twice to read two csv files sales-jan-2015. csv or excel. The Python Data Analysis Library (pandas) aims to provide a similar data frame structure to Python and also has a function to read a CSV. Usage Patterns Reading and Writing Data with Pandas Parsing Tables from the Web Writing Data Structures to Disk Methods to read data are all named pd. Reading and writingExcel files in Python pandas. Read CSV File Use Pandas. ExcelFile('file. txt etc) on the second worksheet named 'Filtered' and save it along with its original contents. I end up with a blank worksheet in 'Filtered'. For example the pandas. In this article we will read excel files using Pandas. Panda is a wonderful tool to use to analyze data. read_excel() calls excel_format() to determine if path is xls or xlsx, based on the file extension and the file itself, in that order. csv() to import your data to R. This often leads to a lot of interesting attempts with varying levels of. read_excel(io, sheet_name= 0, header= 0) io is the Excel file containing the data. Now here’s where the interesting part happens… Excel by default will use a comma as the delimiter,. The following are code examples for showing how to use pandas. Pandas is a very powerful and scalable tool for data analysis. 13 of Pandas added support for new Excel writer engines in addition to the two engines supported in previous versions: Xlwt and Openpyxl. read_excel() can be the sheet name or the sheet number such as 0,1, list of names or None. openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. They are extracted from open source Python projects. py [OPTIONS] INPUTFILE Convert a Excel file with multiple sheets to several file with one sheet. In our lab environment, all the necessary libraries are installed. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. xlsx” # the extension must be xlsx if you want to open the file MS Excel. Also I need to read multiple excel files of a folder and combine them. Reading Excel Spreadsheets with Python and xlrd At this point you should know enough to read most Excel files that were built using Microsoft's XLS format. DataSet1) as a Pandas DF and appending the other (e. read_csv twice to read two csv files sales-jan-2015. This tutorial guides you in how you can use Panda for larger excel files to read and analyze data. Not only does it give you lots of methods and functions that make working with data easier, but it has been optimized for speed which gives you a significant advantage compared with working with numeric data using Python's. This video is about Excel Hacks with Pandas, automate Excel using python and how to split an excel file into multiple sheets. When opening very large files, first concern would be memory availability on your system to avoid swap on slower devices (i. Often, you'll work with data in Comma Separated Value (CSV) files and run into problems at the very start of your workflow. Converting a CSV file to an Excel spreadsheet can expand the ways in which you manage your data. It provides easy access to analyze and maintain the data. read_excel("PATH\FileName. You can find how to compare two CSV files based on columns and output the difference using python and pandas. A CSV is a typical file type used to store data. Beginner’s guide to Web Scraping in Python (using BeautifulSoup) 3. Load Excel Spreadsheet As pandas Dataframe. How I imported many Excel files into Python and then exported one text file. All are free & cross platform. I have a group of excel files which I want to read them using pandas. It's the same file as before, just with the headers deleted. Panda is a wonderful tool to use to analyze data. You can vote up the examples you like or vote down the ones you don't like. csv---into two. We will pass the name of the Excel file and the sheet number we need to read data from to the read_excel() method. It can read, filter and re-arrange small and large datasets and output them in a range of formats including Excel. Let us study about how to read file in Python. Load Excel Spreadsheet As pandas Dataframe. How I imported many Excel files into Python and then exported one text file. By using the open() function and a simple loop, you can cycle through a list of file names and assign a variable with a reference to that file, storing it for later use. I know that many people use Excel for this purpose. In this section of the Pandas read excel tutorial, we are going to learn how to read multiple sheets. Apply the pandas groupby facility to slice, dice, and summarize datasets Measure data by points in time, whether it’s specific instances, fixed periods, or intervals Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples. py changes example program addition4a. You might have multiple Excel or CSV files that share the same data structure (same columns) and are stored in the same folder. index_col=None, contrary to what you could might expect, is treated as "infer whether or not there is an index column" and is also the default for read_excel. read_excel("PATH\FileName. A CSV file is a text file containing data in table form, where columns are separated using the ',' comma character, and rows are on separate lines ( see here ). While each file is structured the same, the information within sheet 1 and 2 (for example) is different. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. When opening very large files, first concern would be memory availability on your system to avoid swap on slower devices (i. For this specific case, we can use the sheet_name parameter to streamline the reading in of all the sheets in our Excel file. The corresponding worksheets from each Excel file are named exactly the same as are the column headers. Read xls and xlsx files. I need some help with the for loop and building a concatenated dataframe: Here is what I have so far:. This week we discussed why pandas is better than Excel, the multiple types of data files you can import into pandas, and how to use Matplotlib — an add-on program that helps to visualize data on pandas. In this article we will read excel files using Pandas. OpenPyXL covers more advanced features of Excel such as charts, styles, number formatting and conditional formatting. import pandas as pd # Split Excel data in one worksheet into multiple worksheets based on column name. But does not work at all if all the files have multiple sheets in the workbook. DataFrame object. xlsx', 'Sheet1') The above snippet will generate the following output:. So if you are on windows and have Excel, you could call a vbscript to convert the Excel to csv and then read the csv. append(df) f. Below you will find the VBA code that copies all sheets from all Excel files that you select into one workbook. csv and use panda. CSV files can be processed line by line and thus can be processed by multiple converters in parallel more efficiently by simply cutting the file into segments and running multiple processes, something that pandas does not support. 5 rows × 25 columns. Maybe Excel files. Full list with parameters can be found on the link or at the bottom of the post. Is it possible to read multiple tables from a sheet excel file using pandas ? Something like: read table1 from row0 until row100 read table2 from row 102 until row202. The Multiple Select widget doesn't work and the console gives me back. DataFrame``. And between each, there will be a text occupying a row. See the Package overview for more detail about what's in the library. Now the file with XLSX format can be read in easily in Excel but how to read file in Python with XLSX file format. It is used extensively in different operations from data copying to data mining and data analysis by computer operators to data analysts and data. df | Any pandas DataFrame object s | Any pandas Series object You’ll also need to perform the following imports to get started: import pandas as pd import numpy as np Importing Data. Read multiple CSV files from a folder and replace the delimiter with 'tab' Merging multiple text files into one csv text file; How to run multiple python file toether; Lazarus: Appending multiple RTF files; Using Pandas to Merge/Concatenate multiple CSV files into one CSV file; Reading and editing csv files quickly; Merge two CSV files, column wise. Pandas is great for data manipulation, cleaning, analysis, and exploration. When opening very large files, first concern would be memory availability on your system to avoid swap on slower devices (i. It was born from lack of existing library to read/write natively from Python the Office Open XML format. The Apache Parquet project provides a standardized open-source columnar storage format for use in data analysis systems. Read xls with Pandas Pandas, a data analysis library, has native support for loading excel data (xls and xlsx). I used the pandas (pd) skiprow attribute to set the first 18 rows to be skipped. From a reading point of view they are the same. We will read and explore a real Excel dataset and explore some of the advanced options available for parsing Excel data. Reading and Writing the Apache Parquet Format¶. Pandas is a powerful package that helps in many aspects of data science. DataSet2) in chunks to the existing DF to be quite feasible. The method read_excel() reads the data into a Pandas Data Frame, where the first parameter is the filename. The following are code examples for showing how to use pandas. Image files are probably the most fascinating file format used in data science. How to Read CSV, JSON, and XLS Files. You can import everything from CSV and Excel files to the whole content of HTML files!. py [OPTIONS] INPUTFILE Convert a Excel file with multiple sheets to several file with one sheet. An xlsm file is just the same as a xlsx file except for the extension and an additional macro binary included in the file. Below is a table containing available readers and writers. Note: I saved these files in Excel as comma separated value files (csv files), and used the read_csv() function to parse them. I'm aware this need can be solved in even one line of Python, but loading. They are extracted from open source Python projects. I'm aware this need can be solved in even one line of Python, but loading. Yes, pandas can read. import pandas as pd # Read the excel sheet to pandas dataframe DataFrame = pd. Please do let me know or help me to read excel file using pandas library. Pandas Doc 1 Table of Contents. We simply typed the word Pandas, then a dot, and the name of the function with all the inputs. You can just subscript the columns: df = df[df. From Analysts to CEOs, various professionals use Excel for both quick stats and serious data. Lets see with an example. DataFrame``. To read csv file use pandas is only one line code. By file-like object, we refer to objects with a read() method, such as a file handler (e. The corresponding writer functions are object methods that are accessed like DataFrame. We will read and explore a real Excel dataset and explore some of the advanced options available for parsing Excel data. To run the t-test, arrange your data in columns as seen below. The entire file is read when using the function ExcelFile(). For example, if you are reading a file and loading as Pandas data frame, you pre-specify datatypes for multiple columns with a a mapping dictionary with variable/column names as keys and data type you want as values. How to import multiple text files from a folder into one worksheet? For instances, here you have a folder with multiple text files, what you want to do is to import these text files into a single worksheet as below screenshot show. Reading multiple files to build a DataFrame It is often convenient to build a large DataFrame by parsing many files as DataFrames and concatenating them all at once. Usually Pandas does a great job of guessing the data type of the imported data, but in case you need to manually change a column from a. I’d love to be able to wow you with how complicated reading an Excel file is, but the difference between the Excel file reading and CSV is one word – excel. Loading Data. txt etc) on the second worksheet named 'Filtered' and save it along with its original contents. Read xls and xlsx files. It's the same file as before, just with the headers deleted. Note that the entire file is read into a single DataFrame regardless, use the chunksize or iterator parameter to return the data in chunks. I have been using pandas for quite some time and have used read_csv, read_excel, even read_sql, but I had missed read_html! Reading excel file with pandas ¶ Before to look at HTML tables, I want to show a quick example on how to read an excel file with pandas. csv files or SQL tables. So pandas has inbuilt support to load data from files as a dataframe. Support both xls and xlsx file extensions from a local filesystem or URL. The method read_excel loads xls data into a Pandas dataframe:. Let us study about how to read file in Python. Pandas is a powerful package that helps in many aspects of data science. To load a single sheet of the Excel file into Python, we’ll use the read_excel function:. Python Read Excel file. Write a Pandas program to read specific columns from a given excel file. DataFrame object. In fact, a lot of data scientists argue that the initial steps of obtaining and cleaning data constitute 80% of the job. This is done with the write method of a file object. With files this large, reading the data into pandas directly can be difficult (or impossible) due to memory constrictions, especially if you're working on a prosumer computer. From Analysts to CEOs, various professionals use Excel for both quick stats and serious data. I have made a simple comparing tool that works well, but it compares row-by-row and displays changes that appear in other sections of the column. As others have suggested, csv reading is faster. Before we can dive into the Excel topic, I'll like to show you today the basics how to work with DataFrames in pandas. My code below works great to loop through a folder of excel files and append each file and spit out a new file that has every file in the folder combined. In our lab environment, all the necessary libraries are installed. In order to export pandas DataFrame to an Excel file you may use to_excel in Python. Questions: I want to read a. 19 Essential Snippets in Pandas Aug 26, 2016 After playing around with Pandas Python Data Analysis Library for about a month, I've compiled a pretty large list of useful snippets that I find myself reusing over and over again. To ensure no mixed types either set False, or specify the type with the dtype parameter. read_excel(). This is a comprehensive Python Openpyxl Tutorial to read and write MS Excel files in Python. xlsx” # the extension must be xlsx if you want to open the file MS Excel. read_excel. I'm aware this need can be solved in even one line of Python, but loading. Is there any way i could open attachment from email, read the file and store variables from it without saving first? The Outlook. Python Pandas is a Python data analysis library. Working with Python Pandas and XlsxWriter. Pandas provides an R-like DataFrame, produces high quality plots with matplotlib, and integrates nicely with other libraries that expect NumPy arrays. 39 Responses to “Python: iterate (and read) all files in a directory (folder)” Dt Says: December 23rd, 2008 at 11:38. read_* where * is the file type.