# ---
# jupyter:
#   jupytext:
#     text_representation:
#       extension: .py
#       format_name: light
#       format_version: '1.5'
#       jupytext_version: 1.14.4
#   kernelspec:
#     display_name: Python 3
#     name: python3
# ---

# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab.research.google.com/github/ninonlack/QM2-group-7-/blob/main/Untitled13.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>

# + id="zZxo-YNJoCfY"
import matplotlib.pyplot as plt
import pandas as pd
import pylab
# %matplotlib inline
pylab.rcParams['figure.figsize'] = (30., 15.)

# + id="esfvOCTood-l" outputId="68b9a576-6cc4-49e7-d275-f172d4b6d4d3" colab={"base_uri": "https://localhost:8080/", "height": 202}
covidcase_path = "/content/statesvscovidcasesdatasheet.csv"
covidcase = pd.read_csv(covidcase_path)
covidcase.head()

# + id="GIoCFvk0orvl" outputId="806cc209-0c8c-46a8-e8e5-da75efe0e0ae" colab={"base_uri": "https://localhost:8080/"}
covidcase['State'].is_unique

# + id="7Tb9UFVgtuWJ" outputId="ee20cb81-e1b7-41d2-b70c-13df570326be" colab={"base_uri": "https://localhost:8080/"}
covidcase = pd.read_csv('/content/statesvscovidcasesdatasheet.csv', index_col='State')
print(covidcase)

# + id="geMXfUcDt-_Q" outputId="4683ae59-03a3-4fb7-e2db-d2e8ad74cb42" colab={"base_uri": "https://localhost:8080/", "height": 465}
covidcase.plot()

# + id="0YHGNBOVuR4Z" outputId="706fd007-c686-4391-f0dd-666dafd42f41" colab={"base_uri": "https://localhost:8080/", "height": 508}
covidcase.plot(kind='bar')

StarcoderdataJupyterScriptsDedupFiltered