Mercurial > cpython-lru_cache-weakref
annotate Doc/lib/libcsv.tex @ 39042:c02fa187e0f4 legacy-trunk
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| author | Neal Norwitz <nnorwitz@gmail.com> |
|---|---|
| date | Mon, 10 Jul 2006 00:23:17 +0000 |
| parents | 903e3162099e |
| children | d8888c8b872b |
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1 \section{\module{csv} --- CSV File Reading and Writing} |
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2 |
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3 \declaremodule{standard}{csv} |
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4 \modulesynopsis{Write and read tabular data to and from delimited files.} |
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5 \sectionauthor{Skip Montanaro}{skip@pobox.com} |
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6 |
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7 \versionadded{2.3} |
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8 \index{csv} |
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9 \indexii{data}{tabular} |
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10 |
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11 The so-called CSV (Comma Separated Values) format is the most common import |
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12 and export format for spreadsheets and databases. There is no ``CSV |
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13 standard'', so the format is operationally defined by the many applications |
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14 which read and write it. The lack of a standard means that subtle |
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15 differences often exist in the data produced and consumed by different |
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16 applications. These differences can make it annoying to process CSV files |
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17 from multiple sources. Still, while the delimiters and quoting characters |
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18 vary, the overall format is similar enough that it is possible to write a |
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19 single module which can efficiently manipulate such data, hiding the details |
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20 of reading and writing the data from the programmer. |
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21 |
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22 The \module{csv} module implements classes to read and write tabular data in |
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23 CSV format. It allows programmers to say, ``write this data in the format |
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24 preferred by Excel,'' or ``read data from this file which was generated by |
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25 Excel,'' without knowing the precise details of the CSV format used by |
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26 Excel. Programmers can also describe the CSV formats understood by other |
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27 applications or define their own special-purpose CSV formats. |
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28 |
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29 The \module{csv} module's \class{reader} and \class{writer} objects read and |
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30 write sequences. Programmers can also read and write data in dictionary |
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31 form using the \class{DictReader} and \class{DictWriter} classes. |
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32 |
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33 \begin{notice} |
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34 This version of the \module{csv} module doesn't support Unicode |
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35 input. Also, there are currently some issues regarding \ASCII{} NUL |
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36 characters. Accordingly, all input should be UTF-8 or printable |
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37 \ASCII{} to be safe; see the examples in section~\ref{csv-examples}. |
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38 These restrictions will be removed in the future. |
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39 \end{notice} |
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40 |
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41 \begin{seealso} |
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42 % \seemodule{array}{Arrays of uniformly types numeric values.} |
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43 \seepep{305}{CSV File API} |
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44 {The Python Enhancement Proposal which proposed this addition |
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45 to Python.} |
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46 \end{seealso} |
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47 |
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48 |
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49 \subsection{Module Contents \label{csv-contents}} |
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50 |
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51 The \module{csv} module defines the following functions: |
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52 |
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53 \begin{funcdesc}{reader}{csvfile\optional{, |
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54 dialect=\code{'excel'}}\optional{, fmtparam}} |
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55 Return a reader object which will iterate over lines in the given |
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56 {}\var{csvfile}. \var{csvfile} can be any object which supports the |
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57 iterator protocol and returns a string each time its \method{next} |
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58 method is called - file objects and list objects are both suitable. |
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59 If \var{csvfile} is a file object, it must be opened with |
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60 the 'b' flag on platforms where that makes a difference. An optional |
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61 {}\var{dialect} parameter can be given |
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62 which is used to define a set of parameters specific to a particular CSV |
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63 dialect. It may be an instance of a subclass of the \class{Dialect} |
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64 class or one of the strings returned by the \function{list_dialects} |
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65 function. The other optional {}\var{fmtparam} keyword arguments can be |
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66 given to override individual formatting parameters in the current |
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67 dialect. For more information about the dialect and formatting |
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68 parameters, see section~\ref{csv-fmt-params}, ``Dialects and Formatting |
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69 Parameters'' for details of these parameters. |
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70 |
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71 All data read are returned as strings. No automatic data type |
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72 conversion is performed. |
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73 \end{funcdesc} |
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74 |
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75 \begin{funcdesc}{writer}{csvfile\optional{, |
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76 dialect=\code{'excel'}}\optional{, fmtparam}} |
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77 Return a writer object responsible for converting the user's data into |
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78 delimited strings on the given file-like object. \var{csvfile} can be any |
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79 object with a \function{write} method. If \var{csvfile} is a file object, |
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80 it must be opened with the 'b' flag on platforms where that makes a |
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81 difference. An optional |
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82 {}\var{dialect} parameter can be given which is used to define a set of |
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83 parameters specific to a particular CSV dialect. It may be an instance |
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84 of a subclass of the \class{Dialect} class or one of the strings |
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85 returned by the \function{list_dialects} function. The other optional |
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86 {}\var{fmtparam} keyword arguments can be given to override individual |
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87 formatting parameters in the current dialect. For more information |
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88 about the dialect and formatting parameters, see |
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89 section~\ref{csv-fmt-params}, ``Dialects and Formatting Parameters'' for |
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90 details of these parameters. To make it as easy as possible to |
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91 interface with modules which implement the DB API, the value |
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92 \constant{None} is written as the empty string. While this isn't a |
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93 reversible transformation, it makes it easier to dump SQL NULL data values |
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94 to CSV files without preprocessing the data returned from a |
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95 \code{cursor.fetch*()} call. All other non-string data are stringified |
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96 with \function{str()} before being written. |
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97 \end{funcdesc} |
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98 |
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99 \begin{funcdesc}{register_dialect}{name\optional{, dialect}\optional{, fmtparam}} |
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100 Associate \var{dialect} with \var{name}. \var{name} must be a string |
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101 or Unicode object. The dialect can be specified either by passing a |
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102 sub-class of \class{Dialect}, or by \var{fmtparam} keyword arguments, |
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103 or both, with keyword arguments overriding parameters of the dialect. |
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104 For more information about the dialect and formatting parameters, see |
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105 section~\ref{csv-fmt-params}, ``Dialects and Formatting Parameters'' |
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106 for details of these parameters. |
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107 \end{funcdesc} |
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108 |
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109 \begin{funcdesc}{unregister_dialect}{name} |
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110 Delete the dialect associated with \var{name} from the dialect registry. An |
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111 \exception{Error} is raised if \var{name} is not a registered dialect |
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112 name. |
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113 \end{funcdesc} |
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114 |
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115 \begin{funcdesc}{get_dialect}{name} |
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116 Return the dialect associated with \var{name}. An \exception{Error} is |
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117 raised if \var{name} is not a registered dialect name. |
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118 \end{funcdesc} |
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119 |
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120 \begin{funcdesc}{list_dialects}{} |
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121 Return the names of all registered dialects. |
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122 \end{funcdesc} |
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123 |
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124 \begin{funcdesc}{field_size_limit}{\optional{new_limit}} |
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125 Returns the current maximum field size allowed by the parser. If |
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126 \var{new_limit} is given, this becomes the new limit. |
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127 \versionadded{2.5} |
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128 \end{funcdesc} |
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129 |
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130 |
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131 The \module{csv} module defines the following classes: |
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132 |
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133 \begin{classdesc}{DictReader}{csvfile\optional{, |
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134 fieldnames=\constant{None},\optional{, |
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135 restkey=\constant{None}\optional{, |
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136 restval=\constant{None}\optional{, |
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137 dialect=\code{'excel'}\optional{, |
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138 *args, **kwds}}}}}} |
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139 Create an object which operates like a regular reader but maps the |
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140 information read into a dict whose keys are given by the optional |
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141 {} \var{fieldnames} |
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142 parameter. If the \var{fieldnames} parameter is omitted, the values in |
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143 the first row of the \var{csvfile} will be used as the fieldnames. |
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144 If the row read has fewer fields than the fieldnames sequence, |
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145 the value of \var{restval} will be used as the default value. If the row |
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146 read has more fields than the fieldnames sequence, the remaining data is |
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147 added as a sequence keyed by the value of \var{restkey}. If the row read |
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148 has fewer fields than the fieldnames sequence, the remaining keys take the |
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149 value of the optional \var{restval} parameter. Any other optional or |
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150 keyword arguments are passed to the underlying \class{reader} instance. |
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151 \end{classdesc} |
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152 |
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153 |
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154 \begin{classdesc}{DictWriter}{csvfile, fieldnames\optional{, |
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155 restval=""\optional{, |
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156 extrasaction=\code{'raise'}\optional{, |
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157 dialect=\code{'excel'}\optional{, |
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158 *args, **kwds}}}}} |
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159 Create an object which operates like a regular writer but maps dictionaries |
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160 onto output rows. The \var{fieldnames} parameter identifies the order in |
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161 which values in the dictionary passed to the \method{writerow()} method are |
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162 written to the \var{csvfile}. The optional \var{restval} parameter |
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163 specifies the value to be written if the dictionary is missing a key in |
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164 \var{fieldnames}. If the dictionary passed to the \method{writerow()} |
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165 method contains a key not found in \var{fieldnames}, the optional |
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166 \var{extrasaction} parameter indicates what action to take. If it is set |
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167 to \code{'raise'} a \exception{ValueError} is raised. If it is set to |
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168 \code{'ignore'}, extra values in the dictionary are ignored. Any other |
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169 optional or keyword arguments are passed to the underlying \class{writer} |
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170 instance. |
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171 |
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172 Note that unlike the \class{DictReader} class, the \var{fieldnames} |
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173 parameter of the \class{DictWriter} is not optional. Since Python's |
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174 \class{dict} objects are not ordered, there is not enough information |
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175 available to deduce the order in which the row should be written to the |
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176 \var{csvfile}. |
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177 |
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178 \end{classdesc} |
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179 |
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180 \begin{classdesc*}{Dialect}{} |
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181 The \class{Dialect} class is a container class relied on primarily for its |
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182 attributes, which are used to define the parameters for a specific |
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183 \class{reader} or \class{writer} instance. |
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184 \end{classdesc*} |
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185 |
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186 \begin{classdesc}{excel}{} |
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187 The \class{excel} class defines the usual properties of an Excel-generated |
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188 CSV file. |
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189 \end{classdesc} |
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190 |
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191 \begin{classdesc}{excel_tab}{} |
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192 The \class{excel_tab} class defines the usual properties of an |
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193 Excel-generated TAB-delimited file. |
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194 \end{classdesc} |
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195 |
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196 \begin{classdesc}{Sniffer}{} |
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197 The \class{Sniffer} class is used to deduce the format of a CSV file. |
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198 \end{classdesc} |
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199 |
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201 |
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202 \begin{methoddesc}{sniff}{sample\optional{,delimiters=None}} |
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203 Analyze the given \var{sample} and return a \class{Dialect} subclass |
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204 reflecting the parameters found. If the optional \var{delimiters} parameter |
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205 is given, it is interpreted as a string containing possible valid delimiter |
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206 characters. |
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207 \end{methoddesc} |
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208 |
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209 \begin{methoddesc}{has_header}{sample} |
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210 Analyze the sample text (presumed to be in CSV format) and return |
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211 \constant{True} if the first row appears to be a series of column |
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212 headers. |
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213 \end{methoddesc} |
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214 |
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215 |
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216 The \module{csv} module defines the following constants: |
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217 |
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218 \begin{datadesc}{QUOTE_ALL} |
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219 Instructs \class{writer} objects to quote all fields. |
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220 \end{datadesc} |
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221 |
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222 \begin{datadesc}{QUOTE_MINIMAL} |
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223 Instructs \class{writer} objects to only quote those fields which contain |
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224 special characters such as \var{delimiter}, \var{quotechar} or any of the |
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225 characters in \var{lineterminator}. |
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226 \end{datadesc} |
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227 |
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228 \begin{datadesc}{QUOTE_NONNUMERIC} |
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229 Instructs \class{writer} objects to quote all non-numeric |
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230 fields. |
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231 |
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232 Instructs the reader to convert all non-quoted fields to type \var{float}. |
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233 \end{datadesc} |
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234 |
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235 \begin{datadesc}{QUOTE_NONE} |
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236 Instructs \class{writer} objects to never quote fields. When the current |
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237 \var{delimiter} occurs in output data it is preceded by the current |
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238 \var{escapechar} character. If \var{escapechar} is not set, the writer |
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239 will raise \exception{Error} if any characters that require escaping |
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240 are encountered. |
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241 |
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242 Instructs \class{reader} to perform no special processing of quote characters. |
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243 \end{datadesc} |
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244 |
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245 |
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246 The \module{csv} module defines the following exception: |
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247 |
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248 \begin{excdesc}{Error} |
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249 Raised by any of the functions when an error is detected. |
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250 \end{excdesc} |
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251 |
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252 |
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253 \subsection{Dialects and Formatting Parameters\label{csv-fmt-params}} |
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254 |
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255 To make it easier to specify the format of input and output records, |
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256 specific formatting parameters are grouped together into dialects. A |
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257 dialect is a subclass of the \class{Dialect} class having a set of specific |
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258 methods and a single \method{validate()} method. When creating \class{reader} |
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259 or \class{writer} objects, the programmer can specify a string or a subclass |
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260 of the \class{Dialect} class as the dialect parameter. In addition to, or |
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261 instead of, the \var{dialect} parameter, the programmer can also specify |
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262 individual formatting parameters, which have the same names as the |
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263 attributes defined below for the \class{Dialect} class. |
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264 |
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265 Dialects support the following attributes: |
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266 |
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267 \begin{memberdesc}[Dialect]{delimiter} |
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268 A one-character string used to separate fields. It defaults to \code{','}. |
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269 \end{memberdesc} |
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270 |
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271 \begin{memberdesc}[Dialect]{doublequote} |
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272 Controls how instances of \var{quotechar} appearing inside a field should |
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273 be themselves be quoted. When \constant{True}, the character is doubled. |
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274 When \constant{False}, the \var{escapechar} is used as a prefix to the |
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275 \var{quotechar}. It defaults to \constant{True}. |
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276 |
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277 On output, if \var{doublequote} is \constant{False} and no |
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278 \var{escapechar} is set, \exception{Error} is raised if a \var{quotechar} |
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279 is found in a field. |
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280 \end{memberdesc} |
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281 |
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282 \begin{memberdesc}[Dialect]{escapechar} |
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283 A one-character string used by the writer to escape the \var{delimiter} if |
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284 \var{quoting} is set to \constant{QUOTE_NONE} and the \var{quotechar} |
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285 if \var{doublequote} is \constant{False}. On reading, the \var{escapechar} |
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286 removes any special meaning from the following character. It defaults |
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287 to \constant{None}, which disables escaping. |
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288 \end{memberdesc} |
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289 |
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290 \begin{memberdesc}[Dialect]{lineterminator} |
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291 The string used to terminate lines produced by the \class{writer}. |
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292 It defaults to \code{'\e r\e n'}. |
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293 |
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294 \note{The \class{reader} is hard-coded to recognise either \code{'\e r'} |
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295 or \code{'\e n'} as end-of-line, and ignores \var{lineterminator}. This |
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296 behavior may change in the future.} |
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297 \end{memberdesc} |
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298 |
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299 \begin{memberdesc}[Dialect]{quotechar} |
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300 A one-character string used to quote fields containing special characters, |
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301 such as the \var{delimiter} or \var{quotechar}, or which contain new-line |
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302 characters. It defaults to \code{'"'}. |
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303 \end{memberdesc} |
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304 |
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305 \begin{memberdesc}[Dialect]{quoting} |
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306 Controls when quotes should be generated by the writer and recognised |
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307 by the reader. It can take on any of the \constant{QUOTE_*} constants |
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308 (see section~\ref{csv-contents}) and defaults to \constant{QUOTE_MINIMAL}. |
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309 \end{memberdesc} |
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310 |
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311 \begin{memberdesc}[Dialect]{skipinitialspace} |
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312 When \constant{True}, whitespace immediately following the \var{delimiter} |
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313 is ignored. The default is \constant{False}. |
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314 \end{memberdesc} |
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315 |
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316 |
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317 \subsection{Reader Objects} |
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318 |
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319 Reader objects (\class{DictReader} instances and objects returned by |
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320 the \function{reader()} function) have the following public methods: |
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321 |
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322 \begin{methoddesc}[csv reader]{next}{} |
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323 Return the next row of the reader's iterable object as a list, parsed |
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324 according to the current dialect. |
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325 \end{methoddesc} |
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326 |
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327 Reader objects have the following public attributes: |
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328 |
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329 \begin{memberdesc}[csv reader]{dialect} |
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330 A read-only description of the dialect in use by the parser. |
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331 \end{memberdesc} |
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332 |
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333 \begin{memberdesc}[csv reader]{line_num} |
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334 The number of lines read from the source iterator. This is not the same |
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335 as the number of records returned, as records can span multiple lines. |
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336 \end{memberdesc} |
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337 |
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338 |
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339 \subsection{Writer Objects} |
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340 |
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341 \class{Writer} objects (\class{DictWriter} instances and objects returned by |
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342 the \function{writer()} function) have the following public methods. A |
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343 {}\var{row} must be a sequence of strings or numbers for \class{Writer} |
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344 objects and a dictionary mapping fieldnames to strings or numbers (by |
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345 passing them through \function{str()} first) for {}\class{DictWriter} |
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346 objects. Note that complex numbers are written out surrounded by parens. |
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347 This may cause some problems for other programs which read CSV files |
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348 (assuming they support complex numbers at all). |
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349 |
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350 \begin{methoddesc}[csv writer]{writerow}{row} |
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351 Write the \var{row} parameter to the writer's file object, formatted |
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352 according to the current dialect. |
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353 \end{methoddesc} |
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354 |
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355 \begin{methoddesc}[csv writer]{writerows}{rows} |
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356 Write all the \var{rows} parameters (a list of \var{row} objects as |
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357 described above) to the writer's file object, formatted |
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358 according to the current dialect. |
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359 \end{methoddesc} |
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360 |
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361 Writer objects have the following public attribute: |
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362 |
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363 \begin{memberdesc}[csv writer]{dialect} |
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364 A read-only description of the dialect in use by the writer. |
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365 \end{memberdesc} |
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366 |
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367 |
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368 |
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369 \subsection{Examples\label{csv-examples}} |
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370 |
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371 The simplest example of reading a CSV file: |
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372 |
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373 \begin{verbatim} |
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374 import csv |
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375 reader = csv.reader(open("some.csv", "rb")) |
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376 for row in reader: |
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377 print row |
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378 \end{verbatim} |
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379 |
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380 Reading a file with an alternate format: |
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381 |
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382 \begin{verbatim} |
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383 import csv |
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384 reader = csv.reader(open("passwd", "rb"), delimiter=':', quoting=csv.QUOTE_NONE) |
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385 for row in reader: |
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386 print row |
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387 \end{verbatim} |
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388 |
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389 The corresponding simplest possible writing example is: |
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390 |
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391 \begin{verbatim} |
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392 import csv |
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393 writer = csv.writer(open("some.csv", "wb")) |
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394 writer.writerows(someiterable) |
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395 \end{verbatim} |
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396 |
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397 Registering a new dialect: |
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398 |
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399 \begin{verbatim} |
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400 import csv |
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401 |
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402 csv.register_dialect('unixpwd', delimiter=':', quoting=csv.QUOTE_NONE) |
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403 |
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404 reader = csv.reader(open("passwd", "rb"), 'unixpwd') |
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405 \end{verbatim} |
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406 |
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407 A slightly more advanced use of the reader - catching and reporting errors: |
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408 |
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409 \begin{verbatim} |
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410 import csv, sys |
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411 filename = "some.csv" |
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412 reader = csv.reader(open(filename, "rb")) |
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413 try: |
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414 for row in reader: |
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415 print row |
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416 except csv.Error, e: |
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417 sys.exit('file %s, line %d: %s' % (filename, reader.line_num, e)) |
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418 \end{verbatim} |
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419 |
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420 And while the module doesn't directly support parsing strings, it can |
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421 easily be done: |
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422 |
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423 \begin{verbatim} |
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424 import csv |
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425 for row in csv.reader(['one,two,three']): |
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426 print row |
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427 \end{verbatim} |
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428 |
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429 The \module{csv} module doesn't directly support reading and writing |
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430 Unicode, but it is 8-bit-clean save for some problems with \ASCII{} NUL |
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431 characters. So you can write functions or classes that handle the |
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432 encoding and decoding for you as long as you avoid encodings like |
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433 UTF-16 that use NULs. UTF-8 is recommended. |
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434 |
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435 \function{unicode_csv_reader} below is a generator that wraps |
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436 \class{csv.reader} to handle Unicode CSV data (a list of Unicode |
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437 strings). \function{utf_8_encoder} is a generator that encodes the |
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438 Unicode strings as UTF-8, one string (or row) at a time. The encoded |
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439 strings are parsed by the CSV reader, and |
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440 \function{unicode_csv_reader} decodes the UTF-8-encoded cells back |
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441 into Unicode: |
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442 |
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443 \begin{verbatim} |
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444 import csv |
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445 |
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446 def unicode_csv_reader(unicode_csv_data, dialect=csv.excel, **kwargs): |
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447 # csv.py doesn't do Unicode; encode temporarily as UTF-8: |
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448 csv_reader = csv.reader(utf_8_encoder(unicode_csv_data), |
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449 dialect=dialect, **kwargs) |
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450 for row in csv_reader: |
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451 # decode UTF-8 back to Unicode, cell by cell: |
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452 yield [unicode(cell, 'utf-8') for cell in row] |
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453 |
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454 def utf_8_encoder(unicode_csv_data): |
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455 for line in unicode_csv_data: |
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456 yield line.encode('utf-8') |
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457 \end{verbatim} |
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458 |
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459 For all other encodings the following \class{UnicodeReader} and |
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460 \class{UnicodeWriter} classes can be used. They take an additional |
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461 \var{encoding} parameter in their constructor and make sure that the data |
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462 passes the real reader or writer encoded as UTF-8: |
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463 |
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464 \begin{verbatim} |
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465 import csv, codecs, cStringIO |
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466 |
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467 class UTF8Recoder: |
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468 """ |
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469 Iterator that reads an encoded stream and reencodes the input to UTF-8 |
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470 """ |
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471 def __init__(self, f, encoding): |
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472 self.reader = codecs.getreader(encoding)(f) |
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473 |
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474 def __iter__(self): |
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475 return self |
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476 |
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477 def next(self): |
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478 return self.reader.next().encode("utf-8") |
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479 |
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480 class UnicodeReader: |
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481 """ |
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482 A CSV reader which will iterate over lines in the CSV file "f", |
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483 which is encoded in the given encoding. |
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484 """ |
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485 |
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486 def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds): |
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487 f = UTF8Recoder(f, encoding) |
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488 self.reader = csv.reader(f, dialect=dialect, **kwds) |
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489 |
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490 def next(self): |
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491 row = self.reader.next() |
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492 return [unicode(s, "utf-8") for s in row] |
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493 |
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494 def __iter__(self): |
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495 return self |
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496 |
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497 class UnicodeWriter: |
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498 """ |
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499 A CSV writer which will write rows to CSV file "f", |
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500 which is encoded in the given encoding. |
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501 """ |
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502 |
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503 def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds): |
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504 # Redirect output to a queue |
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505 self.queue = cStringIO.StringIO() |
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506 self.writer = csv.writer(self.queue, dialect=dialect, **kwds) |
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507 self.stream = f |
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508 self.encoder = codecs.getincrementalencoder(encoding)() |
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509 |
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510 def writerow(self, row): |
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511 self.writer.writerow([s.encode("utf-8") for s in row]) |
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512 # Fetch UTF-8 output from the queue ... |
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513 data = self.queue.getvalue() |
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514 data = data.decode("utf-8") |
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515 # ... and reencode it into the target encoding |
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516 data = self.encoder.encode(data) |
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517 # write to the target stream |
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518 self.stream.write(data) |
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519 # empty queue |
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520 self.queue.truncate(0) |
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521 |
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522 def writerows(self, rows): |
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523 for row in rows: |
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524 self.writerow(row) |
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525 \end{verbatim} |
