index_col=0) In test.csv


왓 title relates specifically to “print(df) Run Eat”.

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Successfully installed pandas-2.1.4
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<class 'tuple'>

df.head

# Python
source sandbox/bin/activate
cd ~/Desktop/

-> After installing pandas, let’s create a Panda -based DataFrame.

# ()가 없어서 함수가 아닌 변수 자료형이라는 것을 알 수 있다.
import pandas as pd

1. print(type(pd.type))

# ()가 있어서 함수인 것을 알 수 있다.
print(type(pd.read_csv))
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<class 'function'>

pd.version

# python==3.8.2
print(pd.__version__)
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<class 'tuple'>
2.1.4

Panda Lighter-Life Guard ‘df = pd.read_csv (data, index_col = 0)’ What does index_col = 0 mean?

2. pd.read_csv(index_col=0)

import pandas as pd
df = pd.read_csv('test.csv', index_col=0)
print(df)
print(df.index)
print(df.columns)
print(df.head)
  1. pd.read_csv(‘data_file.csv’) : Read the ‘test.csv’ file. Here the PD created a DataFrame object. This is because the index_col parameters specify 0_NAME and 1_INXEX to be used in the CSV file to create a DataFrame object after reading the file.

  2. df.index: Check the index of DF, a DataFrame object. The index represents the row of the data frame and basically starts with 0.

print(df.index)
Dict-Key   0
Zero    1
One 2
Two 3
Three   3
Four    4
Name: index, dtype: int64
  1. df.columns: Print the column name of the DataFrame object. This property allows you to check what kind of data you have in each column of the data frame.
print(df.columns)
Index(['index'], dtype='object')
  1. df.head: A function, and the function is parenthesized. The object runs the function.
print(df.head)
Print index, columns, df.head
       index

Dict-Key 0
Zero 1
One 2
Two 3
Three 3
Four 4
Index(['Dict', 'Zero', 'One', 'Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', 'Nine',
'Ten'],
dtype='object')
Index(['index'], dtype='object')

3. ⌨️: file = .csv

Dict-Key,Zero,One,Two,Three,Four
Dict,0
Zero,1
One,2
Two,3
Three,3

Thank you for your question. Please let me know if you need further clarification on any aspect of the article.

  1. I hope this information helps! Let me know if you have any other questions.
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Examining 'pd.read_csv':
    'pd' suggests 'pandas', a well-known data manipulation library in Python.
    The method 'read_csv' is used to read data from a CSV file into a DataFrame.
interpreting the code:
    'type'(pd.read_csv) determines the 'type' of the object pd.read_csv, which is a tuple.

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