How to Upload a File Into Jupyter Notebook on a Mac

iv ways to load information in Jupyter notebook and visual studio code.

Method 1: Load data from CSV file in Jupyter Notebook and Visual Studio Code.

How to load a dataset from a csv file from your local computer to Jupyter Notebook or Visual Studio for information analysis using python and pandas.

At that place are 2 main ways to achieve this

Selection i: Load CSV File from local computer in jupyter notebook and visual studio lawmaking using python and pandas

Put the dataset in the aforementioned folder you lot are working with and load the data from in that location

Step 1: Copy the dataset into the same folder containing your notebook.

Pace 2: Import pandas

Step 3: Utilise this line of code to load the data located in the same folder yous are currently working in.

Step iv: Verify that the data is loaded correctly by using data.head().

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Option 2: Load CSV File from local computer in jupyter notebook and visual studio code with python and pandas using local file path

The start stride is to copy the file path/location of the dataset csv file you desire to use for data assay

How you do this on mac is a niggling bit unlike, but still concepts apply. This is how y'all exercise it in windows.

Step 1: Import pandas in your notebook.

Footstep two: Locate the csv file you are trying to import

Step 3: Select the file –> Click on Home –> Click on Copy file path.

Stride four: Apply the file path to read the CSV file. If you put in the raw file path, your notebook or visual studio lawmaking might throw an error. And so, make certain to put "r" before the file path to convert the file path y'all copied into a regular string. This is how y'all do it.

Stride 5: Verify that the information is loaded correctly past using data2.head().

Method ii: Load dataset from a URL in Jupyter Notebook and Visual Studio Lawmaking

Option 1: Y'all could exercise…

              URL = "url link"

              Information = pandas.read_csv(URL)              and so

              Data.head()              to verify it is loaded correctly

OR…

Option ii: you could do…

              Data = pandas.read_csv("url link")              then

              Information.head()              to verify it is loaded correctly

Either method works perfectly fine and there is no difference betwixt them. How you choose the load the CSV file is a thing of personal preference.

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Method 3: How to Unzip and Extract ZIP file in Jupyter Notebook and Visual Studio Lawmaking

How to load a dataset from a ZIP file to Jupyter Notebook or Visual Studio for data assay using python and pandas.

To load data from a zip file in jupyter notebook or visual studio lawmaking, you accept to do something a little actress. In that location are 2 options to load a naught file in jupyter notebook.

Option 1: How to Unzip and Extract ZIPPED Files in mac and windows

Unzip and extract the zipped files on your local estimator, then follow METHOD ane above. Or make the CSV file available online and so use the URL that contains the data to access the dataset and follow METHOD 2 above.

Option 2: How to use Wget to Unzip and Extract ZIP Files inside Jupyter Notebook and Visual Studio Code

Unzip and excerpt the zipped files inside jupyter notebook using code and this is how you do it.

Pace 1: Install WGET using PiP or Anaconda

Using Python Pip to install WGET in jupyter notebook: https://pypi.org/projection/wget/
Using Anaconda to install WGET in jupyter notebook: https://anaconda.org/anaconda/wget

Step two: Import Wget

Step 3: Get the data from the URL containing the naught file using wget inside jupyter notebook.

Stride 4: After using wget to download the zipped file, yous should see the zipped file in the folder y'all are working with.

Footstep 5: To unzip a zipped file inside jupyter notebook and visual studio code. You import zipfile and use the following lines of lawmaking to unzip the zipped csv file.

Step 6: Later unzipping the zipped file, you should see the csv files contained in the zipped file in the location folder that you indicated.

Step 7: Load the CSV file using "loans = pandas.read_csv('File name')".

Pace 8: Verify that the data is loaded correctly by using loans.head() after you take loaded the csv file using pandas read_csv.

When yous have a dataset that is stored in a TAR file type instead of a ZIP file, y'all tin yet unlock it and use the CSV file within it.

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Method 4: How to Unzip and Excerpt TAR.GZ file in Jupyter Notebook and Visual Studio Code

How to load a dataset from a TAR file in Jupyter Notebook or Visual Studio Code for data analysis using python and pandas

There are 2 options to unlock a tar file blazon.

Option 1: How to Unzip and Extract .TAR Files in mac and windows

Selection two: How to utilise Wget to Unzip and Extract .TAR Files inside Jupyter Notebook and Visual Studio Lawmaking

You Can Unzip and extract the tar files inside Jupyter notebook and visual studio lawmaking using a few lines of code and this is how you do it.

Step i: Import Wget

Stride 2: Become the data from the URL containing the tar file using wget inside jupyter notebook.

Step 3: After using wget to download the tar file, you should see the tar file in the folder y'all are working with.

Step 4: To unzip a tar file inside jupyter notebook and visual studio code, yous import tar file and use the following lines of lawmaking to open the tar file.

Step 5: After extracting the tar file, yous should come across the folder containing the csv files contained in the location binder that you indicated.

Step vi: Change into the directory that contains the csv files.

Step 7: Load i of the csv files to verify that everything is working properly using "aisle = pandas.read_csv('File name')".

Step 8: Verify that the information is loaded correctly by using aisle.head() after you take loaded the csv file using pandas read_csv function.

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