Python-Matplotlib(3) 条形图实战

import pandas as pdreviews = pd.read_csv('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])

import matplotlib.pyplot as pltfrom numpy import arange#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 barnum_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']bar_heights = norm_reviews.ix[0, num_cols].values#print bar_heightsbar_positions = arange(5) + 0.75#print bar_positionsfig, ax = plt.subplots()ax.bar(bar_positions, bar_heights, 0.5)plt.show()

#By default, matplotlib sets the x-axis tick labels to the integer values the bars #spanned on the x-axis (from 0 to 6). We only need tick labels on the x-axis where the bars are positioned. #We can use Axes.set_xticks() to change the positions of the ticks to [1, 2, 3, 4, 5]:num_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']bar_heights = norm_reviews.ix[0, num_cols].valuesbar_positions = arange(5) + 0.75tick_positions = range(1,6)fig, ax = plt.subplots()ax.bar(bar_positions, bar_heights, 0.5)ax.set_xticks(tick_positions)ax.set_xticklabels(num_cols, rotation=45)ax.set_xlabel('Rating Source')ax.set_ylabel('Average Rating')ax.set_title('Average User Rating For Avengers: Age of Ultron (2015)')plt.show()

import matplotlib.pyplot as pltfrom numpy import arangenum_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']bar_widths = norm_reviews.ix[0, num_cols].valuesbar_positions = arange(5) + 0.75tick_positions = range(1,6)fig, ax = plt.subplots()ax.barh(bar_positions, bar_widths, 0.5)ax.set_yticks(tick_positions)ax.set_yticklabels(num_cols)ax.set_ylabel('Rating Source')ax.set_xlabel('Average Rating')ax.set_title('Average User Rating For Avengers: Age of Ultron (2015)')plt.show()

#Let's look at a plot that can help us visualize many points.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()

#Switching Axesfig = 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()