我的数据框看起来像 -
state msg value
aa a,b,r .22
bb m,b,r 1.43
cc a,b,q .33
dd h,h,f .25
我希望我的数据框看起来像 -
state msg value text
aa a,b,r .22 a,b,r .22
bb m,b,r 1.43 m,b,r 1.43
cc a,b,q .33 a,b,q .33
dd h,h,f .25 h,h,f .25
我已经做好了 -
df.info()
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 state 6925 non-null object
1 msg 6925 non-null object
2 value 6925 non-null object
df['text'] = df['state'].astype(str).str.cat(df['value'], sep=' ')
但得到这个错误 -
TypeError: Concatenation requires …我的数据框看起来像 -
can sbi bjf srt acc amb tata jsw hdfcl sbil
Date
2018-02-07 248.65 259.10 2298.40 1284.65 1313.75 200.30 560.95 313.25 457.65 667.90
2018-03-07 244.70 257.75 2321.50 1298.45 1336.80 200.85 566.50 311.80 459.65 669.90
2018-04-07 244.75 257.50 2331.95 1144.85 1352.65 201.15 568.90 312.00 459.60 664.60
2018-05-07 243.75 256.60 2329.45 1151.90 1388.95 207.30 553.50 310.40 462.05 663.15
2018-06-07 247.80 257.45 2341.70 1110.55 1373.45 207.35 554.15 309.30 468.90 667.40
2018-09-07 249.55 261.35 2346.60 1139.95 1375.90 206.40 556.85 312.95 474.30 664.90
2018-10-07 …我有一个数据集,其中包含Zipcode以及lat和log.我想从该纬度和经度中找出医院/银行列表(2公里内).
怎么做？
Long/Lat数据看起来像
store_zip lon lat
410710 73.8248981 18.5154681
410209 73.0907 19.0218215
400034 72.8148177 18.9724162
400001 72.836334 18.9385352
400102 72.834424 19.1418961
400066 72.8635299 19.2313448
400078 72.9327444 19.1570343
400078 72.9327444 19.1570343
400007 72.8133825 18.9618411
400050 72.8299518 19.0551695
400062 72.8426858 19.1593396
400083 72.9374227 19.1166191
400603 72.9781047 19.1834148
401107 72.8929 19.2762702
401105 72.8663173 19.3053477
400703 72.9992013 19.0793547
401209 NA NA
401203 72.7983705 19.4166761
400612 73.0287209 19.1799265
400612 73.0287209 19.1799265
400612 73.0287209 19.1799265