Мне нужна помощь со следующим:
Я пытался импортировать CSV-файл в свой блокнот Jupyter, но безрезультатно.
Код, который я использовал:
dfa = pd.read_csv ('Filename.csv')
И было выдано следующее сообщение об ошибке:
---------------------------------------------------------------------------
ParserError Traceback (most recent call last)
<ipython-input-3-164d461fc4d7> in <module>()
----> 1 dfa = pd.read_csv('Airpollution.csv')
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)
676 skip_blank_lines=skip_blank_lines)
677
--> 678 return _read(filepath_or_buffer, kwds)
679
680 parser_f.__name__ = name
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
444
445 try:
--> 446 data = parser.read(nrows)
447 finally:
448 parser.close()
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/io/parsers.py in read(self, nrows)
1034 raise ValueError('skipfooter not supported for iteration')
1035
-> 1036 ret = self._engine.read(nrows)
1037
1038 # May alter columns / col_dict
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/pandas/io/parsers.py in read(self, nrows)
1846 def read(self, nrows=None):
1847 try:
-> 1848 data = self._reader.read(nrows)
1849 except StopIteration:
1850 if self._first_chunk:
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.read()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_rows()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows()
pandas/_libs/parsers.pyx in pandas._libs.parsers.raise_parser_error()
ParserError: Error tokenizing data. C error: Expected 1 fields in line 4, saw 11
Я проверил, что файлы открываются из одной и той же папки, и все они хранятся на моем рабочем столе.
У меня установлены панды, matplotlib и seaborn. Я перепробовал все способы (другие решения от Stackoverflow), но не смог понять, почему я не могу импортировать. Пожалуйста, просветите меня. Спасибо!
-
@ JPP:
Другой CSV-файл смог работать
это странно, так как я пытался использовать другой CSV-файл, и это сработало. я не могу загрузить эти файлы в.
я использую следующую информацию:
Subject: Environment
Topic : Air Quality and Climate
" Title : M890641 - Air Pollution Levels, Annual "
, , , , , , , , , ,
Variables , 2007 , 2008 , 2009 , 2010 , 2011 , 2012 , 2013 , 2014 , 2015 , 2016 ,
Sulphur Dioxide (Annual Mean) (Microgram Per Cubic Metre) , 12 , 11 , 9 , 11 , 10 , 13 , 14 , 12 , 12 , 13 ,
Sulphur Dioxide (Maximum 24-hour Mean) (Microgram Per Cubic Metre) , 84 , 80 , 93 , 104 , 80 , 98 , 75 , 83 , 75 , 61 ,
Nitrogen Dioxide (Annual Mean) (Microgram Per Cubic Metre) , 22 , 22 , 22 , 23 , 25 , 25 , 25 , 24 , 22 , 26 ,
Nitrogen Dioxide (Maximum 1-hour Mean) (Microgram Per Cubic Metre) , 177 , 126 , 147 , 153 , 189 , 154 , 132 , 121 , 99 , 123 ,
Particulate Matter (PM10) (Annual Mean) (Microgram Per Cubic Metre) , 27 , 25 , 29 , 26 , 27 , 29 , 31 , 30 , 37 , 26 ,
Particulate Matter (PM10) (99th Percentile 24-hour Mean) (Microgram Per Cubic Metre) , 53 , 49 , 59 , 76 , 55 , 57 , 215 , 75 , 186 , 61 ,
Particulate Matter (PM2.5) (Annual Mean) (Microgram Per Cubic Metre) , 19 , 16 , 19 , 17 , 17 , 19 , 20 , 18 , 24 , 15 ,
Particulate Matter (PM2.5) (99th Percentile 24-hour Mean) (Microgram Per Cubic Metre) , 37 , 32 , 44 , 56 , 41 , 42 , 176 , 51 , 145 , 40 ,
Carbon Monoxide (Maximum 8-hour Mean) (Milligram Per Cubic Metre) , 1.7 , 1.6 , 1.9 , 2.4 , 2 , 1.9 , 5.5 , 1.8 , 3.3 , 2.2 ,
Carbon Monoxide (Maximum 1-hour Mean) (Milligram Per Cubic Metre) , 2.5 , 2.3 , 3.9 , 2.8 , 2.6 , 2.4 , 7.5 , 2.7 , 3.5 , 2.7 ,
Ozone (Maximum 8-hour Mean) (Microgram Per Cubic Metre) , 206 , 183 , 105 , 139 , 123 , 122 , 139 , 135 , 152 , 115 ,
SOURCE: NATIONAL ENVIRONMENT AGENCY
Generated by: SingStat Table Builder
Date generated: 05/09/2018
Contact: info@singstat.gov.sg
и это:
Subject: Death and Life Expectancy
Topic : Death and Life Expectancy
" Title : M810131 - Deaths By Broad Groups Of Causes, Annual "
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,Number
Variables , 1969 , 1970 , 1971 , 1972 , 1973 , 1974 , 1975 , 1976 , 1977 , 1978 , 1979 , 1980 , 1981 , 1982 , 1983 , 1984 , 1985 , 1986 , 1987 , 1988 , 1989 , 1990 , 1991 , 1992 , 1993 , 1994 , 1995 , 1996 , 1997 , 1998 , 1999 , 2000 , 2001 , 2002 , 2003 , 2004 , 2005 , 2006 , 2007 , 2008 , 2009 , 2010 , 2011 , 2012 , 2013 , 2014 , 2015 , 2016 , 2017 ,
Total Deaths By Causes ," 10,224 "," 10,717 "," 11,329 "," 11,522 "," 11,920 "," 11,674 "," 11,447 "," 11,648 "," 11,955 "," 12,065 "," 12,468 "," 12,505 "," 12,863 "," 12,896 "," 13,321 "," 13,162 "," 13,348 "," 12,821 "," 13,173 "," 13,690 "," 14,069 "," 13,891 "," 13,876 "," 14,337 "," 14,461 "," 14,946 "," 15,569 "," 15,590 "," 15,305 "," 15,657 "," 15,516 "," 15,693 "," 15,367 "," 15,820 "," 16,036 "," 15,860 "," 16,215 "," 16,393 "," 17,140 "," 17,222 "," 17,101 "," 17,610 "," 18,027 "," 18,481 "," 18,938 "," 19,393 "," 19,862 "," 20,017 "," 20,905 ",
Infective And Parasitic Diseases , 708 , 727 , 702 , 752 , 775 , 714 , 630 , 554 , 523 , 502 , 503 , 425 , 432 , 393 , 432 , 390 , 375 , 402 , 432 , 430 , 439 , 347 , 321 , 342 , 398 , 366 , 369 , 358 , 318 , 361 , 311 , 276 , 296 , 289 , 250 , 296 , 373 , 257 , 307 , 285 , 279 , 269 , 244 , 233 , 211 , 217 , 194 , 174 , 189 ,
Tuberculosis , 419 , 458 , 439 , 489 , 450 , 472 , 420 , 358 , 340 , 318 , 331 , 240 , 221 , 207 , 224 , 163 , 177 , 177 , 186 , 168 , 132 , 113 , 104 , 101 , 115 , 101 , 118 , 132 , 115 , 128 , 107 , 101 , 104 , 92 , 79 , 79 , 67 , 66 , 85 , 83 , 75 , 77 , 68 , 65 , 51 , 60 , 41 , 41 , 32 ,
Neoplasms ," 1,577 "," 1,633 "," 1,728 "," 1,821 "," 1,912 "," 2,002 "," 2,123 "," 2,278 "," 2,326 "," 2,415 "," 2,542 "," 2,623 "," 2,672 "," 2,729 "," 2,903 "," 2,817 "," 2,939 "," 2,921 "," 3,169 "," 3,233 "," 3,321 "," 3,314 "," 3,405 "," 3,497 "," 3,560 "," 3,785 "," 3,921 "," 4,034 "," 4,178 "," 4,091 "," 4,168 "," 4,278 "," 4,384 "," 4,465 "," 4,187 "," 4,353 "," 4,331 "," 4,722 "," 4,803 "," 5,081 "," 5,063 "," 5,078 "," 5,461 "," 5,651 "," 5,849 "," 5,790 "," 5,986 "," 5,993 "," 6,237 ",
Malignant Neoplasms ," 1,533 "," 1,596 "," 1,688 "," 1,773 "," 1,863 "," 1,955 "," 2,083 "," 2,245 "," 2,286 "," 2,386 "," 2,488 "," 2,561 "," 2,616 "," 2,668 "," 2,858 "," 2,776 "," 2,893 "," 2,887 "," 3,131 "," 3,194 "," 3,283 "," 3,269 "," 3,361 "," 3,456 "," 3,531 "," 3,756 "," 3,898 "," 3,985 "," 4,128 "," 4,050 "," 4,134 "," 4,238 "," 4,339 "," 4,425 "," 4,146 "," 4,303 "," 4,289 "," 4,677 "," 4,745 "," 5,038 "," 5,010 "," 5,025 "," 5,411 "," 5,565 "," 5,775 "," 5,701 "," 5,903 "," 5,925 "," 6,077 ",
" Endocrine, Nutritional And Metabolic Diseases ", 331 , 250 , 308 , 271 , 342 , 377 , 375 , 408 , 429 , 403 , 403 , 359 , 404 , 397 , 423 , 512 , 492 , 508 , 521 , 525 , 461 , 388 , 359 , 269 , 309 , 374 , 327 , 403 , 366 , 401 , 444 , 458 , 629 , 530 , 473 , 545 , 593 , 620 , 722 , 551 , 378 , 272 , 356 , 279 , 253 , 296 , 270 , 363 , 340 ,
Diabetes , 184 , 134 , 212 , 207 , 247 , 257 , 259 , 334 , 377 , 334 , 347 , 319 , 368 , 361 , 373 , 469 , 464 , 479 , 492 , 501 , 419 , 332 , 320 , 238 , 264 , 334 , 271 , 320 , 282 , 308 , 350 , 355 , 512 , 425 , 373 , 474 , 510 , 536 , 609 , 463 , 290 , 182 , 299 , 268 , 247 , 277 , 250 , 343 , 321 ,
Diseases Of The Blood And Blood-forming Organs , 71 , 51 , 60 , 50 , 61 , 60 , 52 , 32 , 50 , 45 , 41 , 31 , 42 , 33 , 33 , 28 , 29 , 30 , 35 , 35 , 48 , 50 , 40 , 33 , 34 , 24 , 37 , 37 , 44 , 35 , 50 , 54 , 52 , 44 , 39 , 33 , 40 , 36 , 31 , 46 , 30 , 41 , 41 , 20 , 14 , 23 , 10 , 14 , 17 ,
Diseases Of The Nervous System And Sense Organs , 221 , 173 , 166 , 171 , 169 , 149 , 133 , 129 , 110 , 114 , 122 , 131 , 114 , 121 , 92 , 97 , 87 , 87 , 102 , 133 , 111 , 143 , 117 , 127 , 93 , 71 , 89 , 89 , 95 , 110 , 105 , 107 , 122 , 94 , 67 , 81 , 68 , 62 , 64 , 75 , 68 , 92 , 117 , 166 , 137 , 144 , 210 , 226 , 185 ,
Diseases Of The Circulatory System ," 2,733 "," 2,899 "," 3,120 "," 2,999 "," 3,169 "," 3,295 "," 3,369 "," 3,798 "," 3,889 "," 3,983 "," 4,233 "," 4,305 "," 4,413 "," 4,430 "," 4,436 "," 4,637 "," 4,651 "," 4,482 "," 4,675 "," 4,847 "," 5,082 "," 5,152 "," 5,070 "," 5,270 "," 5,315 "," 5,460 "," 5,560 "," 5,896 "," 5,680 "," 5,711 "," 5,810 "," 5,749 "," 5,588 "," 5,401 "," 5,727 "," 5,423 "," 5,397 "," 5,441 "," 5,835 "," 5,794 "," 5,611 "," 5,807 "," 5,720 "," 5,747 "," 5,765 "," 5,987 "," 6,101 "," 6,107 "," 6,541 ",
Heart And Hypertensive Diseases ," 1,761 "," 1,780 "," 1,925 "," 1,819 "," 1,967 "," 2,014 "," 2,000 "," 2,283 "," 2,426 "," 2,518 "," 2,752 "," 2,777 "," 2,892 "," 2,866 "," 2,911 "," 3,156 "," 3,129 "," 3,028 "," 3,251 "," 3,318 "," 3,416 "," 3,385 "," 3,234 "," 3,457 "," 3,552 "," 3,653 "," 3,742 "," 3,984 "," 3,943 "," 3,950 "," 4,061 "," 3,976 "," 4,075 "," 3,856 "," 4,067 "," 3,714 "," 3,656 "," 3,833 "," 4,197 "," 4,201 "," 4,081 "," 4,161 "," 3,920 "," 3,848 "," 3,914 "," 4,165 "," 4,534 "," 4,576 "," 4,970 ",
Cerebrovascular Disease , 863 ," 1,038 "," 1,103 "," 1,080 "," 1,131 "," 1,213 "," 1,244 "," 1,427 "," 1,360 "," 1,382 "," 1,409 "," 1,447 "," 1,438 "," 1,469 "," 1,454 "," 1,413 "," 1,418 "," 1,355 "," 1,343 "," 1,414 "," 1,551 "," 1,666 "," 1,700 "," 1,697 "," 1,652 "," 1,692 "," 1,701 "," 1,805 "," 1,645 "," 1,633 "," 1,633 "," 1,625 "," 1,409 "," 1,393 "," 1,556 "," 1,562 "," 1,616 "," 1,462 "," 1,490 "," 1,435 "," 1,375 "," 1,472 "," 1,628 "," 1,714 "," 1,680 "," 1,620 "," 1,357 "," 1,317 "," 1,310 ",
Diseases Of The Respiratory System ," 1,235 "," 1,473 "," 1,502 "," 1,653 "," 1,663 "," 1,631 "," 1,632 "," 1,651 "," 1,902 "," 1,724 "," 2,024 "," 1,965 "," 2,196 "," 2,257 "," 2,429 "," 2,096 "," 2,241 "," 1,974 "," 1,942 "," 2,110 "," 2,167 "," 2,112 "," 2,289 "," 2,522 "," 2,588 "," 2,564 "," 2,912 "," 2,534 "," 2,385 "," 2,579 "," 2,357 "," 2,505 "," 2,239 "," 2,763 "," 2,992 "," 2,851 "," 3,124 "," 2,913 "," 2,948 "," 2,989 "," 3,188 "," 3,434 "," 3,493 "," 3,708 "," 4,061 "," 4,232 "," 4,417 "," 4,440 "," 4,757 ",
Pneumonia , 655 , 843 , 875 , 951 , 950 , 969 , 948 ," 1,010 "," 1,215 ", 942 ," 1,124 "," 1,129 "," 1,284 "," 1,375 "," 1,513 "," 1,204 "," 1,287 "," 1,082 ", 998 ," 1,039 "," 1,130 "," 1,191 "," 1,285 "," 1,420 "," 1,596 "," 1,670 "," 2,028 "," 1,693 "," 1,553 "," 1,780 "," 1,641 "," 1,794 "," 1,540 "," 2,079 "," 2,340 "," 2,232 "," 2,437 "," 2,244 "," 2,375 "," 2,387 "," 2,614 "," 2,766 "," 2,879 "," 3,096 "," 3,512 "," 3,680 "," 3,859 "," 3,855 "," 4,212 ",
Diseases Of The Digestive System , 402 , 454 , 463 , 463 , 453 , 451 , 423 , 384 , 382 , 359 , 382 , 368 , 385 , 400 , 403 , 369 , 394 , 326 , 329 , 380 , 363 , 374 , 406 , 353 , 361 , 394 , 409 , 416 , 357 , 418 , 412 , 326 , 307 , 339 , 383 , 356 , 385 , 384 , 392 , 377 , 351 , 436 , 426 , 414 , 418 , 482 , 477 , 467 , 485 ,
Diseases Of The Genito-urinary System , 234 , 239 , 252 , 279 , 275 , 320 , 311 , 281 , 324 , 381 , 349 , 366 , 366 , 319 , 375 , 405 , 319 , 343 , 393 , 380 , 370 , 346 , 369 , 362 , 371 , 444 , 483 , 444 , 399 , 494 , 470 , 486 , 487 , 594 , 587 , 641 , 634 , 637 , 739 , 753 , 861 , 893 , 918 , 934 , 967 , 951 , 928 , 913 , 925 ,
Congenital Anomalies , 181 , 150 , 186 , 172 , 189 , 177 , 146 , 156 , 141 , 185 , 184 , 185 , 178 , 182 , 155 , 172 , 189 , 202 , 171 , 201 , 170 , 189 , 164 , 163 , 160 , 148 , 157 , 130 , 108 , 112 , 95 , 85 , 79 , 69 , 59 , 49 , 67 , 70 , 55 , 60 , 60 , 60 , 53 , 54 , 47 , 50 , 62 , 72 , 49 ,
Congenital Anomalies Of Heart , 84 , 76 , 102 , 93 , 94 , 101 , 76 , 70 , 70 , 98 , 105 , 111 , 109 , 101 , 86 , 91 , 84 , 101 , 87 , 98 , 75 , 84 , 82 , 92 , 94 , 90 , 89 , 74 , 68 , 57 , 48 , 48 , 33 , 40 , 32 , 28 , 38 , 42 , 40 , 32 , 36 , 35 , 21 , 25 , 21 , 26 , 32 , 38 , 22 ,
Certain Causes Of Perinatal Mortality , 460 , 463 , 455 , 502 , 477 , 322 , 254 , 221 , 247 , 239 , 261 , 227 , 208 , 215 , 149 , 151 , 147 , 128 , 128 , 127 , 135 , 123 , 89 , 82 , 76 , 68 , 51 , 64 , 61 , 62 , 52 , 48 , 24 , 52 , 41 , 22 , 39 , 43 , 32 , 39 , 49 , 34 , 49 , 44 , 43 , 42 , 30 , 36 , 39 ,
" Accidents, Poisonings And Violence ", 811 , 836 , 968 , 982 , 995 , 894 , 887 , 890 , 914 ," 1,057 ", 876 , 899 , 938 , 966 ," 1,085 "," 1,095 "," 1,082 "," 1,025 ", 931 , 958 ," 1,042 "," 1,008 "," 1,074 "," 1,127 "," 1,066 "," 1,122 "," 1,113 "," 1,040 "," 1,187 "," 1,110 "," 1,066 "," 1,133 "," 1,036 "," 1,053 "," 1,062 "," 1,028 "," 1,017 "," 1,027 "," 1,036 "," 1,006 ", 978 , 973 , 989 ," 1,030 ", 933 , 909 , 895 , 890 , 840 ,
Suicides , 188 , 185 , 230 , 235 , 240 , 229 , 252 , 257 , 224 , 266 , 249 , 271 , 191 , 239 , 267 , 211 , 327 , 329 , 302 , 367 , 395 , 354 , 319 , 298 , 296 , 347 , 401 , 271 , 346 , 371 , 309 , 348 , 357 , 361 , 346 , 381 , 405 , 419 , 374 , 364 , 401 , 353 , 361 , 467 , 422 , 415 , 409 , 429 , 361 ,
Transport Accidents , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , na , 199 , 232 , 226 , 201 , 208 , 207 , 192 , 176 , 183 , 168 , 164 , 141 ,
Other Diseases And Causes ," 1,260 "," 1,369 "," 1,419 "," 1,407 "," 1,440 "," 1,282 "," 1,112 ", 866 , 718 , 658 , 548 , 621 , 515 , 454 , 406 , 393 , 403 , 393 , 345 , 331 , 360 , 345 , 173 , 190 , 130 , 126 , 141 , 145 , 127 , 173 , 176 , 188 , 124 , 127 , 167 , 182 , 147 , 181 , 176 , 166 , 185 , 221 , 160 , 201 , 240 , 270 , 282 , 322 , 301 ,
"Deaths prior to 1979 are classified according to the eighth (1965) revision of the International Classification of Diseases. Deaths from 1979 to 2011 are classified according to the ninth (1975) revision. From 2012, deaths are classified according to the tenth revision."
SOURCE: REGISTRY OF BIRTHS AND DEATHS
Generated by: SingStat Table Builder
Date generated: 05/09/2018
Contact: info@singstat.gov.sg
Я не совсем уверен, имеет ли это какое-то отношение к файлу или настройкам на моем mac .. спасибо!