Tomatometer

Compare with Tomatometer plot made with Matplotlib

Importing libraries and packages

# Warnings
import warnings

# Mathematical operations and data manipulation
import pandas as pd

# Plotting
import matplotlib.pyplot as plt
import seaborn as sns

sns.set()
warnings.filterwarnings("ignore")

Set paths

# Path to datasets directory
data_path = "./datasets"
# Path to assets directory (for saving results to)
assets_path = "./assets"

Loading dataset

dataset = pd.read_csv(f"{data_path}/movie_scores.csv", index_col=0)

Exploring dataset

# Shape of the dataset
print("Shape of the dataset: ", dataset.shape)
# View
dataset

Shape of the dataset:  (5, 3)

	MovieTitle	Tomatometer	AudienceScore
0	The Shape of Water	91	73
1	Black Panther	97	79
2	Dunkirk	92	81
3	The Martian	91	91
4	The Hobbit: An Unexpected Journey	64	83

Preprocessing

movie_scores = pd.DataFrame(
    {
        "Movie Title": list(dataset["MovieTitle"]) * 2,
        "Score": list(dataset["AudienceScore"]) + list(dataset["Tomatometer"]),
        "Type": ["Audience Score"] * len(dataset["AudienceScore"])
        + ["Tomatometer"] * len(dataset["Tomatometer"]),
    }
)
movie_scores

	Movie Title	Score	Type
0	The Shape of Water	73	Audience Score
1	Black Panther	79	Audience Score
2	Dunkirk	81	Audience Score
3	The Martian	91	Audience Score
4	The Hobbit: An Unexpected Journey	83	Audience Score
5	The Shape of Water	91	Tomatometer
6	Black Panther	97	Tomatometer
7	Dunkirk	92	Tomatometer
8	The Martian	91	Tomatometer
9	The Hobbit: An Unexpected Journey	64	Tomatometer

Visualisation

plt.figure(figsize=(10, 5), dpi=300)
# Create bar plot
ax = sns.barplot("Movie Title", "Score", hue="Type", data=movie_scores)
plt.xticks(rotation=10)
# Add title
plt.title("Movies Scores comparison")
plt.xlabel("Movies")
plt.ylabel("Scores")
# Show plot
plt.savefig(
    f"{assets_path}/movie_scores_seaborn.png", dpi=300, bbox_inches="tight"
)
plt.show()