jordantwells42

import matplotlib.pylab as pl

# Using the numpy.array method to generate two arrays
xs = pl.array([1,2,3,4,5])
print(type(xs))
# OUTPUT: 

ys = pl.array([5,4,3,2,1])

# Using the matplotlib.pyplot method to plot our two arrays

jordantwells42

python -m pip install -U matplotlib
pip install numpy

jordantwells42

import numpy as np
import matplotlib.pylot as plt

jordantwells42

import numpy as np
import matplotlib.pyplot as plt

# Generating two random arrays of floats
xs = np.random.randn(20)

ys = np.random.randn(20)

# Creating the pyplot, "co": cyan and circles
plt.figure(figsize=(9, 5), dpi = 100)

jordantwells42

# Make sure you have pandas imported first!

# To read from a CSV (Comma-Separated Values) file
csv_data = pd.read_csv("path/to/file/data.csv")

# To read from a JSON (JavaScript Object Notation) file
json_data = pd.read_json("path/to/file/data.json")

# To read from a HTML (Hypertext Markup Language) file
html_data = pd.read_html("path/to/file/data.html")

jordantwells42

pip install numpy
pip install pandas

jordantwells42

import numpy as np
import pandas as pd

jordantwells42

pip install numpy
pip install pandas

jordantwells42

import numpy as np
import pandas as pd

jordantwells42

# Make sure you have pandas imported first!

# To read from a CSV (Comma-Separated Values) file
csv_data = pd.read_csv("path/to/file/data.csv")

# To read from a JSON (JavaScript Object Notation) file
json_data = pd.read_json("path/to/file/data.json")

# To read from a HTML (Hypertext Markup Language) file
html_data = pd.read_html("path/to/file/data.html")