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How can I use Plotly with different data sources in Google Colab?

An example of an AI chatbot conversation about using Plotly in Google Colab with various data sources.

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You

How can I use Plotly with different data sources in Google Colab?

MagicBuddy
MagicBuddy

You can use Plotly in Google Colab by importing the library and loading data from various sources like CSV files, Google Sheets, or APIs.

😀
You

Can you show me an example of loading a CSV file?

MagicBuddy
MagicBuddy

Sure! You can use pandas to read a CSV file. Here's a simple example:

import pandas as pd
import plotly.express as px

df = pd.read_csv('your_file.csv')
fig = px.line(df, x='x_column', y='y_column')
fig.show()
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You

What about using data from Google Sheets?

MagicBuddy
MagicBuddy

To use data from Google Sheets, you can use the gspread library. First, install it using !pip install gspread. Then, you can access your sheet like this:

import gspread
from google.auth import default

auth = default()
client = gspread.authorize(auth)
sheet = client.open('Your Sheet Name').sheet1
data = sheet.get_all_records()
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You

Can I visualize data from an API?

MagicBuddy
MagicBuddy

Absolutely! You can use the requests library to fetch data from an API. Here's a quick example:

import requests
import plotly.express as px

response = requests.get('https://api.example.com/data')
data = response.json()
fig = px.bar(data, x='x_value', y='y_value')
fig.show()
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