如何将 Pandas DataFrame 导出到 CSV 文件？

让我们看看如何将 Pandas DataFrame 导出为 CSV 文件。我们将使用to_csv()函数将 DataFrame 保存为 CSV 文件。

DataFrame.to_csv()

Syntax : to_csv(parameters)
Parameters :

• path_or_buf : File path or object, if None is provided the result is returned as a string.
• sep : String of length 1. Field delimiter for the output file.
• na_rep : Missing data representation.
• float_format : Format string for floating point numbers.
• columns : Columns to write.
• header : If a list of strings is given it is assumed to be aliases for the column names.
• index : Write row names (index).
• index_label : Column label for index column(s) if desired. If None is given, and header and index are True, then the index names are used.
• mode : Python write mode, default ‘w’.
• encoding : A string representing the encoding to use in the output file.
• compression : Compression mode among the following possible values: {‘infer’, ‘gzip’, ‘bz2’, ‘zip’, ‘xz’, None}.
• quoting : Defaults to csv.QUOTE_MINIMAL.
• quotechar : String of length 1. Character used to quote fields.
• line_terminator : The newline character or character sequence to use in the output file.
• chunksize : Rows to write at a time.
• date_format : Format string for datetime objects.
• doublequote : Control quoting of quotechar inside a field.
• escapechar : String of length 1. Character used to escape sep and quotechar when appropriate.
• decimal : Character recognized as decimal separator. E.g. use ‘,’ for European data.

Returns : None or str

示例 1：

# importing the module
import pandas as pd
  
# creating the DataFrame
my_df = {'Name': ['Rutuja', 'Anuja'], 
         'ID': [1, 2], 
         'Age': [20, 19]}
df = pd.DataFrame(my_df)
  
# displaying the DataFrame
print('DataFrame:\n', df)
   
# saving the DataFrame as a CSV file
gfg_csv_data = df.to_csv('GfG.csv', index = True)
print('\nCSV String:\n', gfg_csv_data)

输出 ：
在执行代码之前：

执行代码后：

我们可以清楚地看到创建的 .csv 文件。

此外，上述代码的输出包括索引，如下所示。

示例 2：转换为没有索引的 CSV 文件。如果我们不希望包含索引，则在index参数中指定值False 。

# importing the module
import pandas as pd
  
# creating the DataFrame
my_df = {'Name': ['Rutuja', 'Anuja'], 
         'ID': [1, 2], 
         'Age': [20, 19]}
df = pd.DataFrame(my_df)
  
# displaying the DataFrame
print('DataFrame:\n', df)
   
# saving the DataFrame as a CSV file
gfg_csv_data = df.to_csv('GfG.csv', index = False)
print('\nCSV String:\n', gfg_csv_data)

输出：

示例 3：转换为没有行标题的 CSV 文件。如果我们不希望包含标头，则在header参数中分配值False 。

# importing the module
import pandas as pd
  
# creating the DataFrame
my_df = {'Name': ['Rutuja', 'Anuja'], 
         'ID': [1, 2], 
         'Age': [20, 19]}
df = pd.DataFrame(my_df)
  
# displaying the DataFrame
print('DataFrame:\n', df)
   
# saving the DataFrame as a CSV file
gfg_csv_data = df.to_csv('GfG.csv', header = False)
print('\nCSV String:\n', gfg_csv_data)

输出：

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