Accesing data is one of the first step that we need when performing any data analysis. In this tutorial, we will see two ways of loading data
into the google colab environment.
Uploading csv from local machine and loading into colab
Loading data from google drive to colab
Uploading CSV from local machine using IMPORT functionality.
Load import files library from google colab
upload file using the upload button control
Running below commands will allow us to upload data files into the colab environment. Once the Choose Files button is visible, after executing the below listed python commands, we can easily upload files from local directory.
To view the uploaded files
Below command allows us to verify if the file is uploaded correctly.
Reading the uploaded from into pandas dataframe and displaying results
After the data file is uploaded to the colab, we can use pandas functions to load data into python environment and continue our further analysis.
Sometimes we may require to load data from google drive. Below commands will be useful in reading data from google drive. Here we assume that the data file to be loaded into python environemnt is already uploaded to Google Drive.
Step 1, we need to mount the google drive
Step 2, After mounting we need to provide authorization
Step 3, we can view the current list of files available at the mounted location
Step 4, Load data using pandas read_csv function
Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code
Enter your authorization code:
··········
Mounted at /content/gdrive
Note: My data files are located at MY DRIVE\COLAB NOTEBOOKS folder of my google drive account. Please change the code accordingly After clicking the link and entering the authorization code, you can access your drive as follows:
-rw------- 1 root root 117269 Feb 23 06:43 DOLPHINOFFALLN.csv
-rw------- 1 root root 12104 Feb 23 06:46 ImportDatatoColab.ipynb
-rw------- 1 root root 8935 Sep 8 17:23 'Running first neural network model on google colaboratory'
-rw------- 1 root root 13498 Aug 25 17:19 SettingupDrive_GSPGC.ipynb
-rw------- 1 root root 81691 Nov 26 06:47 'Upload data to colab from google drive'
Note that appending ! before pip command
Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (3.0.2)
Requirement already satisfied: numpy>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (1.14.6)
Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (0.10.0)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (2.3.1)
Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (1.0.1)
Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (2.5.3)
Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from cycler>=0.10->matplotlib) (1.11.0)
Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from kiwisolver>=1.0.1->matplotlib) (40.8.0)
References:
https://www.kdnuggets.com/2019/01/more-google-colab-environment-management-tips.html
https://www.kdnuggets.com/2018/02/essential-google-colaboratory-tips-tricks.html
Uploading CSV from local machine using IMPORT functionality.
Running below commands will allow us to upload data files into the colab environment. Once the Choose Files button is visible, after executing the below listed python commands, we can easily upload files from local directory.
from google.colab import files uploaded = files.upload()Saving DOLPHIN.csv to DOLPHIN.csv
To view the uploaded files
Below command allows us to verify if the file is uploaded correctly.
for fn in uploaded.keys(): print('User uploaded file "{name}" with length {length} bytes'.format(name=fn, length=len(uploaded[fn])))User uploaded file "DOLPHIN.csv" with length 117269 bytes
Reading the uploaded from into pandas dataframe and displaying results
After the data file is uploaded to the colab, we can use pandas functions to load data into python environment and continue our further analysis.
import pandas as pd import io df = pd.read_csv(io.StringIO(uploaded['DOLPHIN.csv'].decode('utf-8')))
print(df.head(2))Load data from google drive:
Sometimes we may require to load data from google drive. Below commands will be useful in reading data from google drive. Here we assume that the data file to be loaded into python environemnt is already uploaded to Google Drive.
Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code
Enter your authorization code:
··········
Mounted at /content/gdrive
Note: My data files are located at MY DRIVE\COLAB NOTEBOOKS folder of my google drive account. Please change the code accordingly After clicking the link and entering the authorization code, you can access your drive as follows:
!ls -la /content/gdrive/My\ Drive/Colab\ Notebooks/total 230
-rw------- 1 root root 117269 Feb 23 06:43 DOLPHINOFFALLN.csv
-rw------- 1 root root 12104 Feb 23 06:46 ImportDatatoColab.ipynb
-rw------- 1 root root 8935 Sep 8 17:23 'Running first neural network model on google colaboratory'
-rw------- 1 root root 13498 Aug 25 17:19 SettingupDrive_GSPGC.ipynb
-rw------- 1 root root 81691 Nov 26 06:47 'Upload data to colab from google drive'
df2 = pd.read_csv('/content/gdrive/My Drive/Colab Notebooks/DOLPHINOFFALLN.csv')
print(df2.head(2))TIP: We can Install new libraries in python environment inline using below command
Note that appending ! before pip command
!pip install matplotlib
Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (3.0.2)
Requirement already satisfied: numpy>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (1.14.6)
Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (0.10.0)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (2.3.1)
Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (1.0.1)
Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (2.5.3)
Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from cycler>=0.10->matplotlib) (1.11.0)
Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from kiwisolver>=1.0.1->matplotlib) (40.8.0)
References:
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