Excel For Mac How To Import Data From Folder

16-09-2021 admin

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Jul 23, 2015 I am importing data from an Excel file into a Filemaker Pro database (FMP 12.0 v5 for Mac). I am using the imported data to 'Update matching records in found set'. However, the field that I am using to match occasionally contains trailing zeros. When importing, FMP does not match the fields correctly, because it ignores the trailing zeros. MS Access is the main platform to store the data safely. Whenever the data required, we can import the data directly from the MS Access File itself. Step 1: Go to DATA ribbon in excel and select From Access. Step 2: Now, it will ask you to locate the desired file. Select the desired file path. Under the Data tab in the ribbon, select Get Data From Other Sources From Web. Next, we need to input the URL we want to use and setup our API key as a header item to authenticate with CoinMarketCap. Make sure the Advanced radio button is selected. Enter the API URL you would like to get data from in the top box of URL parts. Simply enter a SQL statement, click Run Query to make sure it works. Once it does, click Return Data to drop your data right back into your worksheet. And that’s it; your data is now in your Excel workbook, live and ready to use in Excel 2016 for Mac or Excel for Windows! Working with a third-party data provider works the exact same way.

You can easily import an Excel file into Python using Pandas. In order to accomplish this goal, you’ll need to use read_excel.

In this short guide, you’ll see the steps to import an Excel file into Python using a simple example.

But before we start, here is a template that you may use in Python to import your Excel file:

Note that for an earlier version of Excel, you may need to use the file extension of ‘xls’

And if you have a specific Excel sheet that you’d like to import, you may then apply:

Let’s now review an example that includes the data to be imported into Python.

The Data to be Imported into Python

Suppose that you have the following table stored in Excel (where the Excel file name is ‘Product List’):

Product	Price
Desktop Computer	700
Tablet	250
iPhone	800
Laptop	1200

How would you then import the above data into Python?

You may follow the steps below to import an Excel file into Python.

Steps to Import an Excel File into Python using Pandas

Step 1: Capture the file path

First, you’ll need to capture the full path where the Excel file is stored on your computer.

For example, let’s suppose that an Excel file is stored under the following path:

C:UsersRonDesktopProduct List.xlsx

In the Python code, to be provided below, you’ll need to modify the path name to reflect the location where the Excel file is stored on your computer.

Don’t forget to include the file name (in our example, it’s ‘Product list‘ as highlighted in blue). You’ll also need to include the Excel file extension (in our case, it’s ‘.xlsx‘ as highlighted in green).

Step 2: Apply the Python code

And here is the Python code tailored to our example. Additional notes are included within the code to clarify some of the components used.

Step 3: Run the Python code to import the Excel file

Run the Python code (adjusted to your path), and you’ll get the following dataset:

Notice that we got the same results as those that were stored in the Excel file.

Note: you will have to install xlrd if you get the following error when running the code:

ImportError: Install xlrd >= 1.0.0 for Excel support

You may then use the PIP install approach to install xlrd as follows:

Optional Step: Selecting subset of columns

Now what if you want to select a specific column or columns from the Excel file?

Excel For Mac How To Import Data From Folder

For example, what if you want to select only the Product column? If that’s the case, you can specify this column name as captured below:

Run the code (after adjusting the file path), and you’ll get only the Product column:

You can specify additional columns by separating their names using a comma, so if you want to include both the Product and Price columns, you can use this syntax:

You’ll need to make sure that the column names specified in the code exactly match with the column names within the Excel file. Otherwise, you’ll get NaN values.

So far, you have seen how to import an Excel file into Python by specifying the path name within the code.

But did you know that you could also import the Excel file without specifying the path?

In the final section below, you’ll see the code to create a simple interface to import Excel files in a streamlined manner.

Simple Interface to Import an Excel file

You may use the code below to import an Excel file into Python:

Once you run the code, you’ll see a display with a single button to import the Excel file:

Simply click on the button and then choose the location where your Excel file is stored.

Conclusion

You just saw how to import an Excel file into Python using Pandas.

At times, you may need to import a CSV file into Python. If that’s the case, you may want to check the following tutorial that explains how to import a CSV file into Python using Pandas.

You may also check the Pandas Documentation to find out more about the different options that you may apply in regards to read_excel.

Pasting data from Excel

Select a range of Excel data and copy it to the clipboard. Switch to Prism and move the insertion point to the cell of the data table that will become the upper-left corner of the pasted data.

Then click on the Paste or Paste Special button in the Clipboard toolbar.

•Paste -- You will only paste the values that have been copied to the clipboard.

•Paste Transpose -- Converts data in Excel rows into columns in Prism, and vice versa.

•Paste Special -- You'll then see the Import and Paste Special dialog, where you can choose whether to filter and rearrange the data (such as transposing).