import numpy as np

data_set = np.loadtxt(
    fname="sampleData.csv", #Path and name of the file to read
    dtype="float", #Read with float
    delimiter=",", #Since it is csv, separate it with a comma
)

import matplotlib.pyplot as plt

#Draw a scatter plot
#Please note that the figure is not displayed just by drawing.
for data in data_set:
    plt.scatter(data[0], data[1])

plt.title("correlation") #title
plt.xlabel("Average Temperature of SAITAMA") #x-axis label
plt.ylabel("Average Temperature of IWATE") #y-axis label
plt.grid() #Draw a grid line(You don't have to draw)

plt.show() #The figure is displayed by using the show function. It is not displayed unless it is written.

import numpy as np
import matplotlib.pyplot as plt

data_set = np.loadtxt(
    fname="sampleData.csv",
    dtype="float",
    delimiter=",",
)

#Draw a scatter plot → use scatter
#Take out line by line and draw
#plt.scatter(x coordinate value,y coordinate value)
for data in data_set:
    plt.scatter(data[0], data[1])

plt.title("correlation")
plt.xlabel("Average Temperature of SAITAMA")
plt.ylabel("Average Temperature of IWATE")
plt.grid()

plt.show()

Recommended Posts