气气居没有脑袋 发表于 2020-11-16 13:17:34

python3.9 文件打开问题

本帖最后由 气气居没有脑袋 于 2020-11-16 13:21 编辑

学到文件部分,然后文件读不出来,找不到解决方法data:image/png;base64,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
这个是文件内容。
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/Nsmq5wDh/g7pUrF590Ef7KePmFrIbRwNxm4UuPpNz5o6ZKnsx2SC8r3X5XZm45RyUEdCgTQMcjG9qvcUHaySK4UI1T8ft1ZexGHxGQsRw0F2UL2btq3bsHDURv17/UVjOPeAgEm+T5WaMhTF7a4WP34/dG4q/ByqaNMEhHMrZrieg1rEZmusLUQkWrzOAKVoBlQGVWIxJQTLZnVlEZoTgswlw2lcz52YyhhbQ1FnUimPOArJtgnjNZgNxm5OeWLDuwSkzkZTvFpJxRC/eyN8g83Ca8/eu+Usztxt7YDXAwYwh7XPxmQbmCbHXRs1hJLIpft5DMn7+5XCuqMly4thrOv6k386xHMx1yM3bFv657b1tPn52nu0cJNZJgxzsUE6hvoCaRVN0dtWDWQF1BrdFD56tFSPkXMKXEFB3glyzNctyAmfmqJ/3VaROcCmpF7w6kGZobi5YOMYXj0FO3EUxeXaM8XqfIt5QQN1tY9U7MEyl+Ez4Eq0F246PWwl3ar5zDpwiVq6vOWV14DpCkRITR0Bdn0OO0VBhNpZY96aftG2eZjtjmv3y0zL1amttxPPLnASZ8cJ+7nbERPS3sfDrQPb3TjRuOO2vA3c0U64noEYU5AJVjvtPKY357DM6aLJdyQNNNDGLxW2eD1K1dCfL7VulrA4C/8ARAiJsy7nOuYS3fWe61HW/LxgsNBWLM4Y+6JNxF4hCE3EbRsKWK5jCJ3fbbZctflObFlCVyWeZk+szF7c5kXaig0evPYaJa9PxqFaxjK28NnJfSnRtvX+C4Dlo9+UaCtZVEFmeP0HTws3YVhUBnZNJkJeJ6+/Rul8HDMfg4lccfU6Z87yAhnaz9s2UKgmoCkAc7EwQRlQTGWnq4JNhBKLihcbsywcpevNnMM9u1Q3hh45bjF8koJl55Yton/HLBNMKUhhnuO1k/N5iFAdgwZk786VaSfhr/TMnM3vAZzFIf6wPzhiSmd/ONJMHiLz1oxa+qU9lrcIqx8/2c4ZtZf49+9U2Qo5R7ygDzTn5yM76xMEdh3J/s+tfcvdAZwKq5lHNMb9WshOlipsXukgwk+uf0R6HievDKNZBZ+fOnfTNb35TxZb4v4HkO5do7B5oDnRhI9mfgZVZDw6wbEe6xC3IdOtSe4T/JhyxoEzZdDaM4kw8E1DTlv2MGGx93OGBn5pD9wDLOLjCzkasri6kILsHRY24Q/MNzb+MK3XCyKsPFkc5Oy4DEdAQHBqKP8SabQvfQmHM9uaVvDXknWBDe0PEbxxonQNRpQzU+DXqT7kAmcu0lB/eJKUabYN6xF1vkqZ1/g2taY9/lBy2hYCaVDy7VDWI4k+xeLyne3GTbVSjslfEXX7KpnX+DaFpj3/UHLaJgBos+AQBEACB8SEAAR2fuYAnIAAC24yAFdCPP/6Y8A8MsAawBrAGyq8BK6C3bt0i/AMDrAGsAayB8mvACug2y5zhLgiAAAhsOQEI6JZPARwAARDYrgQgoNt15uA3CIDAlhOAgG75FMABEACB7UqgtoAOerM02xvXP0S8XacDfoMACGwnAjUFdEC9WfUDAsFrv6VjLxRg8Z5sXeOlvdiqhprfxMa3VVwxLgiMlkBNARVOqpf9O7M9qpOHCgEVv+LDZrGDHs1GPzJRFYz2L+dHH9ixvR848H9JKPoVJGM7IYTitTp+V76AFp5cqqJAexAAgVYI5AqoEbmkcBgByfnkBUTFIt/bjX6Sq5wwJ32zA2o7dtvlp/blCSjbzTUhy3lCaLL0WYrvdOT0a+TkETmKChAAgRYIlBDQ8Ge2qnuRFLsc4U2JthE9ZdP1LRSlrRZQwUn7FGXpoa+GqfY5OqmY/fgEARAYJwLDCajOlspla82GvT0EVGiovh3hQeIEVNdBPJtdKLAGAi0S2B4CKu9L+pfC20ZApYaG93tjAVW3M/wYW5x3mAYBEGiAwOgEtMTDGZukhYIZbltRKnEJn3ObwNwO8DiW8DO6vWAd9yw5G0Iwu9QbmMdtoYCKS3eIpwMMRRDYFgTKCWgdURHC5QqLtuFWWULhrYBQMMNtK6DMU3I7wDjcA7URBoVQQIPd2AQBENgWBMoJKBeKELXZWfl1o263y38dye3XioCWyECtoHrOUDf1Fao8P10TsswLYRsPzaKhUQECILDlBGoKqL7k7KsHJN2+EJKCS1AtTNHlr3OJbbVOtnXshds2Ax1PAeVnNU9s3Tj43qgFARAYPwK1BFQ88JD3D91LbyFy0dd1nIC1gFqRdHaZJ9V2XyiY4XYZAdW+sfc59UsA7L48P12fZZkXxahZTtv4YRjfG7UgAALjRyBXQOWT4UAU5QFv6lwB1X/OmBUlEXeeMAV2VNshM1A9Xl7Gy/la6/LbKn/eBKt7suGYENA8ZtgHAuNNIEdA4+wqOthD4cv7W9YlBM3qkGw7nIAqXx0b3jzwYiaa8G9HeZ2djZiRs9MvJk4gEVPbS9kOBdfuRgEEQGDLCeQIqC8y7PcUIwGV19bywVJ04CcERBII7ZQW0NRTeOV7+paCH1s2C0X9spaqVF5AuWxe2CgSUO+bDOHw2AYBENhSAp3vfve79NWvfjV2woqYFgnue4qh8Bkrut47+KsIqLFjPq0vpiJPeEwWmfohD2GDF1AlZnn9svFVqaSA5sSeFlAt5jYtN2NXFXnTD58gAAJNE+js2rWLbrvttsiuzZgY8bKNUwIqGwQCkCMi0UMkO4AqKJFJXY77jY0IeuLtN+EF1Ii+ub8b9eEqSgiojjvKyI25FN9UP+1n0p6xi08QAIHWCfCX8LnC6PhUtp3oEgmoFlj7NSb3qzwm680u0csIhhXPIhGMRCjzJUr4nHCjYmTHbVHWZhyrffDFxZESXHdolEEABEZCgBVQKUTcwRu6VEVAw74tbEu/OQXUflphEqLtxjcYUL/ML+wX2dExqfvFid86HTJue2UwpB10BwEQGJ4AK6DDm4WFdgiobLVMNt7O+LAKAiDgEoCAujRQBgEQAIEKBCCgFWChKQiAAAi4BCCgLg2UQQAEQKACAQhoBVhoCgIgAAIuAQioSwNlEAABEKhAAAJaARaaggAIgIBLAALq0kAZBEAABCoQgIBWgIWmIAACIOASSAto4i2j6XsTxrxq6b5q6iJEGQRAYFoJlBNQ/R67fBXSviqZvevtvSJp320X77HHomPfV/faZe+8s7bsmOE0KR+K3sxRY8a+hNb47boCWoZPXtzlfjyF9xm1IAACoyBQKKBS0Lz3xsXfQco/uK1IMsJXTcy0eDF2FJxxFtD86Zu+TD6fB/aCwHYkUCigkXYFvwYkBNHLAE22GnVUeNoX0FhUwzHVdvBnl5OzVycDHTb7NJlp3aw5GQx2gAAINEggLaD6R4fD39VUvzSUHdhGjKSIGvF0M9bAWdOevVRPXdYnxJj/YeSUgBpREr/E1KXubPsC6p1YAg5FGWgo+kF3bIIACIwBgRwBNb/67giPFrhIz4xwiv054inirSYM/CV8UoSlY46Aun5592N5u/x81M9AhYByvgo3rYByP5HX7VfkxHuOWhAAgXYJ5AioI0QlfLBCEamr37kJAc0sMj66oqnFPB6zjoDGJxI/i86y8sy/dMkKaLoJ9oAACIw5gbSAJr7GpOIxWVmRqMQ/KmyFNnW5ztUnRdkXUCVKs9EftYsF1O+XP0cm1moCaWxy8ZbJQE1/fIIACIwvgaSAcge+zbgYQYtEKiHAUbtcNkWZIieEcV08Ztwm7cZwApq2iz0gAALbnUBSQEU2Zx6CxAIUhx22CbfjHk3UcEIY10W+JMSd92hIAWXGUv4UZ+/MeYp3EbUgAAJbQiAhoEKEsu96RgIkXfWzw7CNvJw2CuDel+Qu0SvUGVFXtGKx5J7MG996vVmyWXTBw65sNtoS0JxbAozoZv6gBAIgMC4EeAEVB7AjMEaA+p7X+QLqNS2xwY9R1LGagPr+F9k2+2sIqBZAK9beCaJLnpB7+/ys1Jx/jCf4BAEQGC8CrIAqMfMP5lAMZns96oqDXx/lqT6cCMjs1PtaUdWvNxmIjoBK0RJZnVOnm6XEWT106tHAmGM/awioY0fF2qHZ2eyFg5Q/thsyUIsCBRAYZwKsgPoO+5lmts8XqkJRMB21OPiX4kZA80Sbu+RVPihxN/t9v8SwvG86LifTNi76n/UFVIhntydefc3iSn03NDxBie3w5GPEmNvn+4wtEACBURAoFlD3ctQVG1uvhIsXqTAEI0bxF+7L9c/sWTFxfZK7YwHNerklLb6hSrlNZNn4bAQ6asBUKNvStJNNyhhne/Jv0HM/tGINOX1MnctHlbN71KYNPkEABEZLoPPmm2/S7bffnhxVCZUQDy04WrDUQawzqzKiYDPBICvTAuYKRNIZvUP6lBQ+LXjJ/daIfKBU1IyouoAK/6zdAjFkY2X6yJjNyYLZz9pBJQiAQKsE8jNQ/fTcioEWE+/+pz6Y/cvo2GclxI6wiCZe3+wyl7uctXWZM/EgpqakXXMbwTsZOJfbdswKdcamccXE6Lpddry4j5vtIwO1jFEAgS0ikBZQLZ6RIJB+j9t7CGSyNEYEu3313rfXfoui3YphmWyxMNtm+gjXzUlICLsrrlsRFsYEARAg4gVUH8CceKrvWSL7weIBARAAAV5AwQUEQAAEQKCQAAS0EBEagAAIgABPAALKc0EtCIAACBQSgIAWIkIDEAABEOAJQEB5LqgFARAAgUICENBCRGgAAiAAAjwBCCjPBbUgAAIgUEigQEDF65vxO+DiC938d0Tlt70L/7Bcyiv1BXN8xzTFB/UgAALjRSBfQAd99ed/zTvY0vcB9bvih4k5odPvy7P7TODqrSXuTZp6AirG5Hwx4+ETBEAABNoh0Lnvvvvoa1/7Wto6+1aSfnXTE1bzqmGBmA361JMCLF779LPbWgI6GFCvK2wF42q/0++zB+3TBPQec3JgXlfV78qzWXmdX+Pnzi6F/qEBCIDAqAnkZ6DaGylsgViqH8nIREiJX5V3tLP3543wlBbQQlHqUj/xPrkMSfbPfBd1xv9IcK2YaQG12+5UqX0mDncPaV/Zbl5D6QX1ZrMfqY52owIEQGCsCHSOHDlCd955ZyNODQb5v+3ODuKIWWkB1YZUez+LtWNUzEBjW1rgrfJBQC1bFEAABCQBXkALM7z0ZWyYwWVZWfrep5mLNgTU6p8ZRHw6om2qIaCGBD5BAATKEuAFlOutRTUTxKxRKeEzD6Q66Sf46ufa/EvrbJS4FIue04YRSbuX2RfbQgZqeaEAAiDAEigpoPry1bkPKsXObodiw46lKrUQd2zfrK0S0MQledbMlkLRU9tKoE05zIizbV+oQ1v2l+htCqsZ5Py4MndyMfdAs3FLZO92TBsqCiAAAmNIoISAxuIp4vAFVNbIv9LJikgYuL0/6YtlNQHVou0IWjZ2gaAnM1BG3KyY4R5oOI3YBoFpJ1AgoLx4CmixgGZ/oiMTsjy8yrbVJ2Mz+GpT0oIWYW4sToijjNQd2D6FdwU9FGEIaHIusAMEppRAUkCN4CiB0uLhZHv8JakQoLTo5jPWgsVc2uf3C/Yy2WXQgt0sfQkfCK8ypmLmxNxcwrPdIk9C0Y4aoAIEQGCMCLACymVwoc9sBuo2cu91mnKhADOX0EEfK1L2NkBxH17s/e+sFgpoTsar/sxJ4uGYjh0C6i4OlEFgMgiwAlomtEIBLWPEbWMEsZzSuD3ZclX/CgW0xEnAirvjkcnkUyLO1jfEwHEDRRAAgRYIjI2Aqqy3U/uHSEI2TQuoEkL/yX02ZvoSXsXl3lvNesUlXMLHTFADAuNLICmgVtCCS2g2Y0q1KZlJcWNx2VyMsey92fAyPxbCZKYoYyi6r5sS0KJ+YUQQ0JAItkFgnAkkBbTI6aoZHm8vE0BXMDMxi4WOtxPXVvVPjclnikbg0+cDXkBNHOl+od9lBLSqKIdjYBsEQKApAlsmoEaUwl9kygLTYiKy2/IKZLtXFVDbMSgYEcz3gf6U8OYAAAhXSURBVBFQc0+30rcKSgho7sOswHlsggAItEpgtAJqREVe8vPZXhSt7eNkoyUe6JS91ZCnzVY8i0QwErUss86zn4rVzcajNjJ2h0XUABUgAAKjIjAaAbUi6H91qEqQSsxGKxxyTE4BnXisULsiOxhQvzeb/tV+E3iRHdPO+Wwqs3ZMoggCIFCTQG0BrTkeug1FQF3i52aoQ9lHZxAAgSoEIKBVaKEtCIAACDgEIKAODBRBAARAoAoBCGgVWmgLAiAAAg4BCKgDY1qK4sEX/gMBEBieAAR0eIbbzgIEdNtNGRweUwIQ0DGdmDbdgoC2SRe2p4kABHSaZlvHCgGdwklHyK0QGCsB3Yovy3NU87+sXuJ1S87oGNVBQMdoMuDKtiZQTkAr/ShwEQ8lQPwLPrPU6Yz2bSPO21wBjV7b5CwU1W3tD4JAQIvmB/tBoByBUgKaKyjBOLKt/Xk7RgwHfep1hVCKn5jz34evmoGq9uFP1ZXcdl+95GJI7R/6XXTznvws9foDGgRjj2ITAjoKyhhjGggUC6iXcenLVyuQnFj5opiGmNkyrybWE1B+vLTo63FTAmn+uF1if9puOtJsjyOenHJKcebjyWwMX4KADs8QFkBAECgUUCVq5qDW4hNefw9z4DsZ3VYJqJ81cycF/Uv53I9/BCcTczKIl5cRT8MyaGFsd7vU7wf7Gt6EgDYMFOamlkCBgKqDPhOFPAFlLtc9rKpvqL1uk60SUNcHUU5lmUpo4zhT7a1dI46JrJbM/jw41tjwBQjo8AxhAQQEgVwBjQVjCAEd9Kk7q7K7TJD9SYjH8/eHW0pwExljkBkK0fD+pcQsJaBG5DrhT/IlmGhnrY8pcTR2U/vDoBvYhoA2ABEmQCBXQM2B7T0VT4iFbBtnZixhecnO//E4JaCJS1zGmBInvn06K9QxVBJQ06crTwL+CSDM0jNHrXiG4h1s+/ay/m2VIKBtkYXdaSOQyEC1YMgD3RVGtz7I6AJRsNkel1lZcfbFb2wF1DlBRMKsY+HCTC+mjCPXryqH9Dj8HggozwW1IFCVACugMnMSGZrzgEcZ1gd+dNSrLCyqzvUm7lNVOEaXgWaBhGOG21nLVEnFHX6FK2ut91eDmXUvUYKAloCEJiBQggAroP2uzjorCuhwl6JanHMurcN4lHiVzITDDNkbJ8sIbebstXcyZZ1xqlgrip25fZEjjiomN+sPox5+GwI6PENYAAFBgBVQi6a0gKYyU23JCIcnSvWEzxXpZPYnxvME0kZERJxQp/2PxzBi26Ver/ybUyq7LhLGioLshlWhDAGtAAtNQSCHQEMCSiSFJilaOR6YXea+aE52ZpoWfQ4GPeoKsS7tTxUBlY/psyf6Rf6GcRWdTEr7XEQhvR8CmmaDPSBQhUBjAkpRtqpFNXhdM+WcytCqiJ6frcn+rviEwmUHFv3CTLCigJosttPJ/8ubnFiygqtjKcnKhlKzAAGtCQ7dQCAgMKSAKuFRmqDK7iV2JGrB4GbTiqdzie/aMe3cz/BeITuWFDBz/1KJVLc3oF5X3D5wRbSKgOq2jq+sJrrO5pWNyLrin2jvchpmTAhoAjCqQaAigZoC2qMe96X4IAuVB3zukW4yLz+TU+IYipwTGZNdsgLqdDFv+xh3jBip7VgUhchk/3wRzsQ362fsukPml/nYU33ce7HhySPVJ1UPAU2RQT0IVCNQUUCzg97cX1RCZARGvwYpL0WVuKQySSNg6a/zZOLUCdQpHFOE7AoMhyDeL+zP0mxPvHiuxwrG8eyYTJG5zLax5PU3xqydDoVxmSbcpxzDZKn6BFJmOM4WBJSjgjoQqE6gmoAGGaYQnsHAiFd2SWwFxbtMlipHszazy0Q3122TbYa2ok6OuNsx3CwyfAUzMpCsUOJb0N/4Gaqaqbc+ZZySAzI73BOAKtezI0xDQBnAqAKBGgTyBbSGQbaLIyKhvrDtmcphRYMx2WKVL+apLLyqA9mJqUDMCwxDQAsAYTcIlCQwGgEt6QyajYYABHQ0nDHK5BOAgE7+HEcRQkAjJKgAgVoEIKC1sG3vThDQ7T1/8H58CEBAx2cuRuYJBHRkqDHQhBOAgE74BCM8EACB9ghAQNtjC8sgAAITTgACOuETjPBAAATaIwABbY8tLIMACEw4AQjohE8wwgMBEGiPAAS0PbawDAIgMOEEIKATPsEIDwRAoD0CEND22MIyCIDAhBOAgE74BCM8EACB9ghAQNtjC8sgAAITTgACOuETjPBAAATaIwABbY8tLIMACEw4AQjohE8wwgMBEGiPAAS0PbawDAIgMOEEIKATPsEIDwRAoD0CEND22MIyCIDAhBOAgE74BCM8EACB9ghAQNtjC8sgAAITTgACOuETjPBAAATaI9B57bXX6Fvf+lZ7I8AyCIAACEwogc7CwgLdfffdExoewgIBEACB9ghAQNtjC8sgAAITTgACOuETjPBAAATaIwABbY8tLIMACEw4AQjohE8wwgMBEGiPAAS0PbawDAIgMOEEIKATPsEIDwRAoD0CEND22MIyCIDAhBPonD59mu66664JDxPhgQAIgEDzBDrP7HiavvGNbzRvGRZBAARAYMIJdH7+wM/o61//+oSHifBAAARAoHkCnfcPHaLvfOc7zVuGRRAAARCYcAKdO799O33lK1+Z8DARHgiAAAg0T6BzYN9euuOOO5q3DIsgAAIgMOEE8DWmCZ9ghAcCINAeAQhoe2xhGQRAYMIJQEAnfIIRHgiAQHsEIKDtsYVlEACBCScAAZ3wCUZ4IAAC7RGAgLbHFpZBAAQmnAAEdMInGOGBAAi0R6Dz/sF9dMe3u+2NAMsgAAIgMKEE/h8WLNM0wXntBwAAAABJRU5ErkJggg==

气气居没有脑袋 发表于 2020-11-16 13:19:55

我C:\Users\Andrew\Desktop\QQ截图20201116131833图呢,

气气居没有脑袋 发表于 2020-11-16 13:28:43

文件打开后用read()报错:
>>> f = open('D:\\1.txt')
>>> fo = f.read()
Traceback (most recent call last):
File "<pyshell#35>", line 1, in <module>
    fo = f.read()
UnicodeDecodeError: 'gbk' codec can't decode byte 0x80 in position 36: illegal multibyte sequence


文件里的内容是:
床前明月光,
疑是地上霜。
举头望明月,
低头思故乡。

hrp 发表于 2020-11-16 13:33:13

f = open('D:\\1.txt', encoding='utf-8')

Twilight6 发表于 2020-11-16 13:39:35

气气居没有脑袋 发表于 2020-11-16 13:28
文件打开后用read()报错:
>>> f = open('D:\\1.txt')
>>> fo = f.read()




编码问题,在 open 加上参数 encoding = 'UTF-8' 即可

另外新鱼油无法上传图片,只能发送网络图片:https://imgchr.com/

气气居没有脑袋 发表于 2020-11-16 13:40:20

hrp 发表于 2020-11-16 13:33
f = open('D:\\1.txt', encoding='utf-8')

感谢

气气居没有脑袋 发表于 2020-11-16 13:41:06

Twilight6 发表于 2020-11-16 13:39
编码问题,在 open 加上参数 encoding = 'UTF-8' 即可

另外新鱼油无法上传图片,只能发送网络图片 ...

感谢,是不是有中文就得加这个

hrp 发表于 2020-11-16 13:49:52

气气居没有脑袋 发表于 2020-11-16 13:41
感谢,是不是有中文就得加这个

不是,文件是以什么编码保存的,open的时候encoding参数的值就写什么编码。
这里你的文件刚好是以utf8编码保存的,打开的时候不写encoding参数,win上默认是以gbk编码开解码,不能正确解码所以就报错了。

气气居没有脑袋 发表于 2020-11-16 13:57:21

hrp 发表于 2020-11-16 13:49
不是,文件是以什么编码保存的,open的时候encoding参数的值就写什么编码。
这里你的文件刚好是以utf8编 ...

懂了{:10_298:}
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