Pandas: Get the columns of the DataFrame
Pandas: IMDb Movies Exercise-1 with Solution
Write a Pandas program to get the columns of the DataFrame (movies_metadata.csv file).
Sample Solution:
Python Code:
import pandas as pd
import numpy as np
df = pd.read_csv('movies_metadata.csv')
print("Columns of the DataFrame:")
print(df.columns)
Sample Output:
Columns of the DataFrame: Index(['adult', 'belongs_to_collection', 'budget', 'genres', 'homepage', 'id', 'imdb_id', 'original_language', 'original_title', 'overview', 'popularity', 'poster_path', 'production_companies', 'production_countries', 'release_date', 'revenue', 'runtime', 'spoken_languages', 'status', 'tagline', 'title', 'video', 'vote_average', 'vote_count'], dtype='object')
Python-Pandas Code Editor:
Sample Table:
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Previous: Python Pandas Data Series, DataFrame Exercises Home.
Next: Write a Pandas program to get the information of the DataFrame (movies_metadata.csv file)including data types and memory usage.
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Python: Tips of the Day
Find current directory and file's directory:
To get the full path to the directory a Python file is contained in, write this in that file:
import os dir_path = os.path.dirname(os.path.realpath(__file__))
(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)
To get the current working directory use
import os cwd = os.getcwd()
Documentation references for the modules, constants and functions used above:
- The os and os.path modules.
- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
- os.getcwd() (returns "a string representing the current working directory")
- os.chdir(path) ("change the current working directory to path")
Ref: https://bit.ly/3fy0R6m
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