Python数据分析之可视化一matplotlib(常用方法)

data = sns.load_dataset("iris")
data.head()
# 萼片长度，萼片宽度，花瓣长度，花瓣宽度，种类

# your code
%matplotlib inline
import matplotlib
from matplotlib import pyplot as plt
import seaborn as sns
import pandas as pd

data.loc[:,sepal] = data[sepal_length] * data[sepal_width]
data.loc[:,petal] = data[petal_length] * data[petal_width]
plt.scatter(data[sepal],data[petal])
plt.title(the relation of the sepal and the petal )

for i in list(data[species].unique()):
    plt.scatter(data[sepal],data[petal],c=[b,g,r]) 
plt.title(the relation of the sepal and the petal )

第二个小例子

data = sns.load_dataset("tips")
data.head()
# 总消费，小费，性别，吸烟与否，就餐星期，就餐时间，就餐人数

sex = data[sex].unique()
tip = []

for i in sex:
    tip.append(data[data[sex] == i][tip].values)
tip
#plt.boxplot(female_tip)

fig, ax = plt.subplots()
ax.boxplot(tip)
ax.set_xticklabels(sex)
ax.set_title(the tip of sex)

days = data[day].unique()
tip = []
for day in days:
    tip.append(data[data[day] == day][tip].values)

def boxplot(x_data, y_data, base_color, median_color, x_label, y_label, title):
    _, ax = plt.subplots()

    # 设置样式
    ax.boxplot(y_data
               # 箱子是否颜色填充
               , patch_artist = True
               # 中位数线颜色
               , medianprops = {color: base_color}
               # 箱子颜色设置，color：边框颜色，facecolor：填充颜色
               , boxprops = {color: base_color, facecolor: median_color}
               # 猫须颜色whisker
               , whiskerprops = {color: median_color}
               # 猫须界限颜色whisker cap
               , capprops = {color: base_color})

    # 箱图与x_data保持一致
    ax.set_xticklabels(x_data)
    ax.set_ylabel(y_label)
    ax.set_xlabel(x_label)
    ax.set_title(title)

# 调用绘图函数
boxplot(x_data = days
        , y_data = tip
        , base_color = b
        , median_color = g
        , x_label = Day of week
        , y_label = tips
        , title = The tip of day)

想成为可视化高手，请戳

https://matplotlib.org/api/pyplot_api.html