Question

我有一个csv文件，如下所示：

name,age
something
tom,20

当我将其放入数据框时，它看起来像：

df = pd.read_csv('file', header=None)

     0           1
1    name        age
2    something   NaN
3    tom         20

如何获取原始行数据中的逗号计数。例如，答案应如下所示：

# in pseudocode
df['_count_separators'] = len(df.raw_value.count(','))

     0           1      _count_separators
1    name        age   1
2    something   NaN   0
3    tom         20    1

Answer 1

非常简单，将数据作为一个单列系列读取，然后以逗号分割并与分隔符计数连接。

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  <option value="formNumber3"> Industry3  </option>
  <option value="formNumber4"> Industry4  </option>

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When I try to duplicate this code it does not hide the divs?

 <div id="formNumber"></div>
 <div id="formNumber1">Visitors:200<br>leads:200</div> 
 <div id="formNumber2">Visitors:300<br>leads:300</div>
 <div id="formNumber3">Visitors:500<br>leads:500</div>
 <div id="formNumber4">Visitors:700<br>leads:700</div>

# s = pd.read_csv(pd.compat.StringIO(text), sep=r'|', squeeze=True, header=None)
s = pd.read_csv('/path/to/file.csv', sep=r'|', squeeze=True, header=None)

另一种级联解决方案是在索引上pd.concat([ s.str.split(',', expand=True), s.str.count(',').rename('_count_sep') ], axis=1) 0 1 _count_sep 0 name age 1 1 something None 0 2 tom 20 1（这是一个整洁的衬里）：

join

Answer 2

这样做

docker

数据

df = pd.read_csv('file', header=None)
df2 = pd.read_csv('file', header=None,sep='|') # using another sep for read your csv again 

df2['0'].str.findall(',').str.len() # then one row into one cell , using str find 
0    1
1    0
2    1
3    5
Name: 0, dtype: int64

df['_count_separators']=df2['0'].str.findall(',').str.len()

Answer 3

您可以将csv模块用于计数定界符。这是一个两遍解决方案，但与其他一遍解决方案相比不一定有效。

from io import StringIO
import csv, pandas as pd, numpy as np

x = """name,age
something
tom,20"""

# replace StringIO(x) with open('file.csv', 'r')
with StringIO(x) as fin:
    delim_counts = np.fromiter(map(len, csv.reader(fin)), dtype=int)

# replace StringIO(x) with 'file.csv'
df = pd.read_csv(StringIO(x), header=None)
df['_count_separators'] = delim_counts - 1

print(df)

           0    1  _count_separators
0       name  age                  1
1  something  NaN                  0
2        tom   20                  1

Answer 4

一行代码：word.upcase.each_char.map { |c| H[c] }.join(' ') #=> "Kilo Echo Victor India November"

用熊猫计算CSV行中的分隔符

4 个答案: