Drawing a line graph

Suppose you do this with a jupyter notebook. If you do it on the terminal, you need to save the graph to a file. To save it, use plt.savefig ("filename ").

Drawing with pyplot


#Library used for numerical calculation
import numpy as np
import pandas as pd

#Library for drawing graphs
from matplotlib import pyplot as plt

#Specification to display the graph in jupyter Notebook
%matplotlib inline

x = np.array([0,1,2,3,4,5,6,7,8,9])
y = np.array([2,3,4,3,5,4,6,7,4,8])

plt.plot(x, y, color = 'black')
plt.title("lineplot matplotlib")
plt.xlabel("x")
plt.ylabel("y")

Drawing by seaborn


import seaborn as sns
sns.set()

plt.plot(x, y, color = 'black')
plt.title("lineplot seaborn")
plt.xlabel("x")
plt.ylabel("y")

Histogram drawing


data = np.array([2,3,3,4,4,4,4,5,5,6])
sns.distplot(data, bins = 5, 
             color = 'black', kde = False)

--Define how many groups the data should be divided into with bins. --Set the display / non-display of kernel density estimation [^ 1] with kde

[^ 1]: One of the nonparametric methods for estimating the probability density function of random variables in statistics.


sns.distplot(fish_data, color = 'black' norm_hist=True)

--`norm_hist` changes the vertical axis so that the total area of the histogram is 1.

Box plot

sns.boxplot(x = "species", y  = "length", 
            data = multi, color = 'gray')

Violin plot

Using the result of kernel density estimation


sns.violinplot(x = "species", y  = "length", 
               data = multi, color = 'gray')

bar graph

sns.barplot(x = "species", y  = "length", 
            data = fish_multi, color = 'gray')

Scatter plot


sns.jointplot(x = "x", y = "y", 
              data = cov_data, color = 'black')

Regression line

sns.lmplot(x = "temperature", y = "beer", data = D,
          scatter_kws = {"color": "black"},
          line_kws = {"color": "black"})

sns.lmplot(x = "price", y = "sales", data = sales,
          hue = "weather", palette = "gray")

reference

Shinya Baba, a textbook on statistics learned with new Python

Graph drawing in python