Matplotlib _ 03 条形图与散点图

# 电影评分
import pandas as pd
import matplotlib.pyplot as plt

reviews = pd.read_csv("C:/Users/Amber/Documents/唐宇迪-机器学习课程资料/Python库代码（4个）/3-可视化库matpltlib/fandango_scores.csv")

cols = ['FILM','RT_user_norm','Metacritic_user_nom','IMDB_norm','Fandango_Ratingvalue','Fandango_Stars']
norm_reviews = reviews[cols]
print(norm_reviews[:1])

                             FILM  ...  Fandango_Stars
0  Avengers: Age of Ultron (2015)  ...             5.0

import pandas as pd
import matplotlib.pyplot as plt
from numpy import arange

reviews = pd.read_csv("C:/Users/Amber/Documents/唐宇迪-机器学习课程资料/Python库代码（4个）/3-可视化库matpltlib/fandango_scores.csv")
num_cols = ['RT_user_norm','Metacritic_user_nom','IMDB_norm','Fandango_Ratingvalue','Fandango_Stars']
norm_reviews = reviews[num_cols]
# The Axes.bar() method has 2 required parameters,left and height
# We use the left parameter to specify the x coordinates of the left sides of the bar
# We use the height parameter to specify the height of each bar
bar_heights = norm_reviews.ix[0,num_cols].values
print(bar_heights)
bar_positions = arange(5) + 0.75
print(bar_positions)
fig,ax = plt.subplots()
ax.bar(bar_positions,bar_heights,0.3)  #0.3 代表当前每个柱子的宽度
plt.show()

[4.3  3.55 3.9  4.5  5.  ]
[0.75 1.75 2.75 3.75 4.75]

import pandas as pd
import matplotlib.pyplot as plt
from numpy import arange

reviews = pd.read_csv("C:/Users/Amber/Documents/唐宇迪-机器学习课程资料/Python库代码（4个）/3-可视化库matpltlib/fandango_scores.csv")
num_cols = ['RT_user_norm','Metacritic_user_nom','IMDB_norm','Fandango_Ratingvalue','Fandango_Stars']
norm_reviews = reviews[num_cols]

# The Axes.bar() method has 2 required parameters,left and height
# We use the left parameter to specify the x coordinates of the left sides of the bar
# We use the height parameter to specify the height of each bar
bar_heights = norm_reviews.ix[0,num_cols].values
#print(bar_heights)
bar_positions = arange(5) + 0.75
#print(bar_positions)
tick_positions = range(1,6)
fig,ax = plt.subplots()

ax.bar(bar_positions,bar_heights,0.3)
ax.set_xticks(tick_positions)
ax.set_xticklabels(num_cols,rotation = 45)

ax.set_xlabel('Rating Score')
ax.set_ylabel('Average Rating')
ax.set_title('Average User Rating For Avengers: Age of Ultron (2015)')

plt.show()

import pandas as pd
import matplotlib.pyplot as plt
from numpy import arange

reviews = pd.read_csv("C:/Users/Amber/Documents/唐宇迪-机器学习课程资料/Python库代码（4个）/3-可视化库matpltlib/fandango_scores.csv")
num_cols = ['RT_user_norm','Metacritic_user_nom','IMDB_norm','Fandango_Ratingvalue','Fandango_Stars']
norm_reviews = reviews[num_cols]

bar_widths = norm_reviews.ix[0,num_cols].values
bar_positions = arange(5) + 0.75
tick_positions = range(1,6)
fig,ax = plt.subplots()

ax.barh(bar_positions,bar_widths,0.3)

ax.set_yticks(tick_positions)
ax.set_yticklabels(num_cols)
ax.set_ylabel('Rating Score')
ax.set_xlabel('Average Rating')
ax.set_title('Average User Rating For Avengers: Age of Ultron (2015)')

plt.show()

import pandas as pd
import matplotlib.pyplot as plt
from numpy import arange

reviews = pd.read_csv("C:/Users/Amber/Documents/唐宇迪-机器学习课程资料/Python库代码（4个）/3-可视化库matpltlib/fandango_scores.csv")
num_cols = ['RT_user_norm','Metacritic_user_nom','IMDB_norm','Fandango_Ratingvalue','Fandango_Stars']
norm_reviews = reviews[num_cols]

fig,ax = plt.subplots()

ax.scatter(norm_reviews['Fandango_Ratingvalue'],norm_reviews['RT_user_norm'])

ax.set_xlabel('Fandango')
ax.set_ylabel('Rotten Tomatoes')

plt.show()

import pandas as pd
import matplotlib.pyplot as plt
from numpy import arange

reviews = pd.read_csv("C:/Users/Amber/Documents/唐宇迪-机器学习课程资料/Python库代码（4个）/3-可视化库matpltlib/fandango_scores.csv")
num_cols = ['RT_user_norm','Metacritic_user_nom','IMDB_norm','Fandango_Ratingvalue','Fandango_Stars']
norm_reviews = reviews[num_cols]

fig = plt.figure(figsize=(5,10))
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
ax1.scatter(norm_reviews['Fandango_Ratingvalue'],norm_reviews['RT_user_norm'])
ax1.set_xlabel('Fandango')
ax1.set_ylabel('Rotten Tomatoes')
ax2.scatter(norm_reviews['RT_user_norm'],norm_reviews['Fandango_Ratingvalue'])
ax2.set_xlabel('Rotten Tomatoes')
ax2.set_ylabel('Fandango')

plt.show()