我試圖將一個包含兩個數據序列的txt文件拖入熊貓。到目前爲止，我已經嘗試了我從其他帖子在堆棧中獲取的變體。到目前爲止，它只能作爲一個系列閱讀。如何在熊貓中讀取.txt
我使用的數據是可用的here
icdencoding = pd.read_table("data/icd10cm_codes_2017.txt", delim_whitespace=True, header=None)
icdencoding = pd.read_table("data/icd10cm_codes_2017.txt", header=None, sep="/t")
icdencoding = pd.read_table("data/icd10cm_codes_2017.txt", header=None, delimiter=r"\s+")
我知道我在做一些真正顯然是錯誤的，但我無法看到它。
嘗試使用sep=r'\s{2,}'作爲分隔符 - 這意味着用作分隔或多個空格或製表符：
In [28]: df = pd.read_csv(url, sep=r'\s{2,}', engine='python', header=None, names=['ID','Name'])
In [29]: df
Out[29]:
ID Name
0 A000 Cholera due to Vibrio cholerae 01, biovar cholerae
1 A001 Cholera due to Vibrio cholerae 01, biovar eltor
2 A009 Cholera, unspecified
3 A0100 Typhoid fever, unspecified
4 A0101 Typhoid meningitis
5 A0102 Typhoid fever with heart involvement
6 A0103 Typhoid pneumonia
7 A0104 Typhoid arthritis
8 A0105 Typhoid osteomyelitis
9 A0109 Typhoid fever with other complications
10 A011 Paratyphoid fever A
11 A012 Paratyphoid fever B
12 A013 Paratyphoid fever C
13 A014 Paratyphoid fever, unspecified
14 A020 Salmonella enteritis
15 A021 Salmonella sepsis
16 A0220 Localized salmonella infection, unspecified
17 A0221 Salmonella meningitis
18 A0222 Salmonella pneumonia
19 A0223 Salmonella arthritis
20 A0224 Salmonella osteomyelitis
21 A0225 Salmonella pyelonephritis
22 A0229 Salmonella with other localized infection
23 A028 Other specified salmonella infections
24 A029 Salmonella infection, unspecified
.. ... ...
671 B188 Other chronic viral hepatitis
672 B189 Chronic viral hepatitis, unspecified
673 B190 Unspecified viral hepatitis with hepatic coma
674 B1910 Unspecified viral hepatitis B without hepatic coma
675 B1911 Unspecified viral hepatitis B with hepatic coma
676 B1920 Unspecified viral hepatitis C without hepatic coma
677 B1921 Unspecified viral hepatitis C with hepatic coma
678 B199 Unspecified viral hepatitis without hepatic coma
679 B20 Human immunodeficiency virus [HIV] disease
680 B250 Cytomegaloviral pneumonitis
681 B251 Cytomegaloviral hepatitis
682 B252 Cytomegaloviral pancreatitis
683 B258 Other cytomegaloviral diseases
684 B259 Cytomegaloviral disease, unspecified
685 B260 Mumps orchitis
686 B261 Mumps meningitis
687 B262 Mumps encephalitis
688 B263 Mumps pancreatitis
689 B2681 Mumps hepatitis
690 B2682 Mumps myocarditis
691 B2683 Mumps nephritis
692 B2684 Mumps polyneuropathy
693 B2685 Mumps arthritis
694 B2689 Other mumps complications
695 B269 Mumps without complication
[696 rows x 2 columns]
或者您可以使用read_fwf()方法
你的文件是一個固定寬度的文件，以便您可以使用read_fwf，此處默認參數能夠推斷出列寬：
In [106]:
df = pd.read_fwf(r'icd10cm_codes_2017.txt', header=None)
df.head()
Out[106]:
0 1
0 A000 Cholera due to Vibrio cholerae 01, biovar chol...
1 A001 Cholera due to Vibrio cholerae 01, biovar eltor
2 A009 Cholera, unspecified
3 A0100 Typhoid fever, unspecified
4 A0101 Typhoid meningitis
如果你知道你想要的名稱的列名，你可以通過這些來read_fwf：
In [107]:
df = pd.read_fwf(r'C:\Users\alanwo\Downloads\icd10cm_codes_2017.txt', header=None, names=['col1', 'col2'])
df.head()
Out[107]:
col1 col2
0 A000 Cholera due to Vibrio cholerae 01, biovar chol...
1 A001 Cholera due to Vibrio cholerae 01, biovar eltor
2 A009 Cholera, unspecified
3 A0100 Typhoid fever, unspecified
4 A0101 Typhoid meningitis
或者只是簡單地覆蓋閱讀後columns屬性：
df.columns = ['col1', 'col2']
至於爲什麼你嘗試失敗，read_table使用製表符作爲默認分隔符，但文件只是有空格並且寬度固定
請問您能解釋'sep = r'\ s {2，}'，engine ='python''參數嗎？我從來沒有用'r'\ s {2，}'作爲分隔符，或者在engine ='python''中聲明瞭一個'engine'。 –
無法獲得第一個選項，但使用read_fwf（）標題和名稱。現在正在工作。 read_fwf（）對我來說是全新的。需要閱讀它。 –
感謝您解釋sep = r'\ s {2，}'。真的有用！ –