Plot CSV Data in Python
How to create charts from csv files with Plotly and Python
CSV or comma-delimited-values is a very popular format for storing structured data. In this tutorial, we will see how to plot beautiful graphs using csv data, and Pandas. We will learn how to import csv data from an external source (a url), and plot it using Plotly and pandas.
First we import the data and look at it.
In [1]:
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_apple_stock.csv')
df.head()
Out[1]:
Plot from CSV with Plotly Express¶
In [2]:
import pandas as pd
import plotly.express as px
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_apple_stock.csv')
fig = px.line(df, x = 'AAPL_x', y = 'AAPL_y', title='Apple Share Prices over time (2014)')
fig.show()
Plot from CSV with graph_objects¶
In [3]:
import pandas as pd
import plotly.graph_objects as go
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_apple_stock.csv')
fig = go.Figure(go.Scatter(x = df['AAPL_x'], y = df['AAPL_y'],
name='Share Prices (in USD)'))
fig.update_layout(title='Apple Share Prices over time (2014)',
plot_bgcolor='rgb(230, 230,230)',
showlegend=True)
fig.show()
Reference¶
See https://plot.ly/python/getting-started for more information about Plotly's Python API!
