熊猫–使用制表符分隔符
将数据框转换为 CSV 文件
原文:https://www.geesforgeks.org/pandas-data frame-to-CSV-file-using-tab-separator/
让我们看看如何使用标签分隔符将数据帧转换为 CSV 文件。我们将使用到 _csv() 方法将数据帧保存为 csv 文件。要保存带有制表符分隔符的 DataFrame,我们必须在 to_csv()方法中传递“\t”作为 sep 参数。
方法:
- Import panda and Numpy modules.
- Use DataFrame () method to create a data frame.
- Use the to_csv () method with sep as parameter "\t" to save the data frame as a csv file.
- Use the read_csv () method as DataFrame to load the newly created CSV file.
- Show a new data frame.
蟒 3
# importing the modules
import pandas as pd
import numpy as np
# creating a DataFrame
students = {'Student': ['Amit', 'Cody',
'Darren', 'Drew'],
'RollNumber': [1, 5, 10, 15],
'Grade': ['A', 'C', 'F', 'B']}
df = pd.DataFrame(students,
columns =['Student', 'RollNumber',
'Grade'])
# displaying the original DataFrame
print("Original DataFrame")
print(df)
# saving as a CSV file
df.to_csv('Students.csv', sep ='\t')
# loading the CSV file
new_df = pd.read_csv('Students.csv')
# displaying the new DataFrame
print('Data from Students.csv:')
print(new_df)