我试图将两个数据帧合并,但我遇到了一个问题。我只在正确的数据框中的列中获得NaN。
这就是我所做的:
X = read_csv('fileA.txt',sep=',',header=0);
print "-----FILE DATA-----"
print X;
X = X.astype(object); # convert every column to string type? does it do it?
print "-----INTERNALS-----"
pprint(vars(X));
Y = file_to_dataframe('fileB.txt',',',0);
print "-----FILE DATA-----"
print Y;
print "-----INTERNALS-----"
pprint(vars(Y));
Z = merge(X,Y,how='left');
print Z;
sys.exit();
Y = file_to_dataframe('tmp.chr20.thresh.frq.count','\t',0);
print Y.dtypes;
def file_to_dataframe(filename,sep,header): # list of dict's
i = 0; k = 0;
cols = list();
colNames = list();
for line in fileinput.input([filename]):
line = line.rstrip('\n');
lst = line.split(sep);
if i == header: # row number to use as the column names
for colName in lst:
colNames.append(colName);
elif i > header:
j = 0;
record = dict();
for j in range(0,len(lst)): # iterate over all tokens in the current line
if j >= len(colNames):
colNames.append('#Auto_Generated_Label_'+ str(k));
k += 1;
record[colNames[j]] = lst[j];
cols.append(record); # push the record onto stack
i += 1;
return DataFrame.from_records(cols);
这是输出:
-----文件数据-----
Chrom Gene Position
0 20 DZANK1 18446022
1 20 TGM6 2380332
2 20 C20orf96 271226
- - - - - - - - INTERNALS
{'_data': BlockManager
Items: array([Chrom, Gene, Position], dtype=object)
Axis 1: array([0, 1, 2])
ObjectBlock: array([Chrom, Gene, Position], dtype=object), 3 x 3, dtype object,
'_item_cache': {}}
-----文件数据-----
Chrom Position Random
0 20 18446022 ABC
1 20 2380332 XYZ
2 20 271226 PQR
- - - - - - - - INTERNALS
{'_data': BlockManager
Items: array([Chrom, Position, Random], dtype=object)
Axis 1: array([0, 1, 2])
ObjectBlock: array([Chrom, Position, Random], dtype=object), 3 x 3, dtype object,
'_item_cache': {}}
Chrom Gene Position Random
0 20 C20orf96 271226 NaN
1 20 TGM6 2380332 NaN
2 20 DZANK1 18446022 NaN
如你所见,那里有一列NaN,Y中的Random列应该有值。有关如何调试它的任何想法吗?
答案 0 :(得分:1)
为我工作(v0.10.0b1,虽然我有点自信 - 但是没有检查 - 这也适用于0.9.1):
In [7]: x
Out[7]:
Chrom Gene Position
0 20 DZANK1 18446022
1 20 TGM6 2380332
2 20 C20orf96 271226
In [8]: y
Out[8]:
Chrom Position Random
0 20 18446022 ABC
1 20 2380332 XYZ
2 20 271226 PQR
In [9]: pd.merge(x, y, how='left')
Out[9]:
Chrom Gene Position Random
0 20 DZANK1 18446022 ABC
1 20 TGM6 2380332 XYZ
2 20 C20orf96 271226 PQR
我很惊讶所有列都是对象dtype。您的数据必须存在某种解析问题 - 检查每列中的值(不是它们的样子,但它们实际上是 ,字符串,整数,什么?)