在pandas中通過read_csv檢索分隔符傳遞

Question

當使用自動分隔符檢測配置讀取csv文件（pd.read_csv(file_path, sep=None)）時，熊貓會嘗試推斷分隔符（或分隔符）。

有沒有辦法檢索這個推斷的結果（最終用於sep的值）？

編輯

我對於使用由read_csv返回的大熊貓對象的方法專門找。我使用版本0.20.2的熊貓。

Answer 1

如果你想要做的就是檢測CSV的話（而無需在數據加載），您可以使用內置的csv.Sniffer標準：

The Sniffer class is used to deduce the format of a CSV file.

尤其是sniff方法：

sniff(sample, delimiters=None) 

Analyze the given sample and return a Dialect subclass reflecting the parameters found. If the optional delimiters parameter is given, it is interpreted as a string containing possible valid delimiter characters.

下面是它的用法的例子：

with open('example.csv', 'r') as csvfile: 
    dialect = csv.Sniffer().sniff(csvfile.read(1024)) 
    print(dialect.delimiter) 

Answer 2

我想你可以做到這一點，而無需導入csv：

reader = pd.read_csv(file_path, sep = None, iterator = True) 
inferred_sep = reader._engine.data.dialect.delimiter 

編輯：

忘記了iterator = True說法。

Answer 3

csv.Sniffer

The Sniffer class is used to deduce the format of a CSV file.

sniff(sample, delimiters=None)

Analyze the given sample and return a Dialect subclass reflecting the parameters found. If the optional delimiters parameter is given, it is interpreted as a string containing possible valid delimiter characters.

---

Dialect.delimiter

A one-character string used to separate fields. It defaults to ','

import csv 

sniffer = csv.Sniffer() 
dialect = sniffer.sniff('first, second, third, fourth') 
print dialect.delimiter