我需要构建一个具有非常特定结构的DataFrame。收益率曲线值作为数据，单个日期作为索引，成熟天数作为列名称。
CXX tools/extract_features.cpp
CXX tools/compute_image_mean.cpp
CXX tools/train_net.cpp
CXX tools/device_query.cpp
CXX tools/upgrade_solver_proto_text.cpp
CXX tools/finetune_net.cpp
CXX tools/upgrade_net_proto_text.cpp
CXX tools/upgrade_net_proto_binary.cpp
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
CXX tools/convert_imageset.cpp
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
CXX tools/caffe.cpp
CXX tools/test_net.cpp
CXX examples/siamese/convert_mnist_siamese_data.cpp
CXX examples/mnist/convert_mnist_data.cpp
CXX examples/cpp_classification/classification.cpp
CXX examples/cifar10/convert_cifar_data.cpp
CXX .build_release/src/caffe/proto/caffe.pb.cc
AR -o .build_release/lib/lenter code hereibcaffe.a
LD -o .build_release/lib/libcaffe.so.1.0.0
/usr/bin/ld: cannot find -l -lopencv_core
collect2: error: ld returned 1 exit status
Makefile:573: recipe for target '.build_release/lib/libcaffe.so.1.0.0' failed
make: *** [.build_release/lib/libcaffe.so.1.0.0] Error 1
然后我尝试创建DataFrame
In[1]: yield_data # list of size 38, with yield values
Out[1]:
[0.096651956137087325,
0.0927199778042056,
0.090000225505577847,
0.088300016028163508,...
In[2]: maturity_data # list of size 38, with days until maturity
Out[2]:
[6,
29,
49,
70,...
In[3]: today
Out[3]:
Timestamp('2017-07-24 00:00:00')
但它返回错误
pd.DataFrame(data=yield_data, index=[today], columns=maturity_data)
我尝试使用这些列表的转置，但它不允许转置它们。
如何创建此DataFrame？
答案 0 :(得分：0)
IIUC，我认为你想要一个单行的数据帧，你需要将你的数据输入列表重塑为一个列表列表。
yield_data = [0.09,0.092, 0.091]
maturity_data = [6,10,15]
today = pd.to_datetime('2017-07-25')
pd.DataFrame(data=[yield_data],index=[today],columns=maturity_data)
输出：
6 10 15
2017-07-25 0.09 0.092 0.091