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已经安装上pandas了,但是还是报错。首先在windowspowershell中运行condalistpandas得到结果如下:http://data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeQAAABdCAIAAAD7foKnAAAOtklEQVR4nO2da3LbuBKFG3QWkQXcNeX ...
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首先在windows powershell中运行 conda list pandas 得到结果如下:
http://data:image/png;base64,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
上面的显示结果,表示应该是已经成功安装了pandas 库
但是,在运行包含以下内容的Python文件的时候:
- # coding: utf-8
- import pandas as pd
- import numpy as np
- from pandas import Series,DataFrame
- import csv
- sample_x = pd.read_csv("sample_x.csv")
- sample_y=pd.read_csv("sample_y")
- merge=pd.read_csv("merge.csv")
- sample_x_re=sample_x.describe()
- sample_y_re=sample_y.describe()
- merge_re=merge.describe()
- sample_x_re.to_csv("sample_x_re.csv")
- sample_y_re.to_csv("sample_y_re.csv")
- merge_re.to_csv("merge_re.csv")
- sample_x.csv.close()
- sample_y.csv.close()
- merge.csv.close()
http://data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAcgAAABqCAIAAAC3YFbsAAAMc0lEQVR4nO2d67Hbug6F4y5SwKkpDaXIVHE8t4Nzf+yMo4jAwoPgQ9Ka+WaPRUMgCJHLJCV7f/v+89frnx/vf//39feL1z8/PnxKTi8+ZuCwLRcL20rJEwCdTbTUekvaz/IM3BIsCK0BuC6JctH/8V0xVK1fJRr+9frbUVgJIWQco3UG+5+pct++//zFD3BCyGhG6wzwX1JvO70FPn/PWAkhhFRBYSWEkGIWC2v5umCTPY2SGArbMjQnm+R8B/7779tQ50P9k0L+2mMFt1w9+yOJW661A/J4I3JtWncTxLU3DaKu/F3Iv+dlRlvShNHCdw9hXT48JyA/FaAplJmR9tGHmVnWXC25kFWT1q3i0VwN+gAI9TenPdDf3bS1dXV1YX3OffKBwuqxd9o4obCucrVKWHPGwLK/IRTWnvzfhpiwRlMm7io4Ew3Wd/79CrH88/rzVzxFLMFVmNkQnYBDrVIxDyDIwni0PBfGiTtGp6VpXK6tn73Rrxefd8Hh5/VpX1X001aE6zWDF+s9ecP2JRcr0T/34Y+wagIRCrpKWNtB2x6awmH6P/711NtWbba3rVesArTRDE/UrEHxRP3k4sRX03mJe4w7R6lH8kRLfAj8aD6BvSdyj38ccGd6c/1zB7zfvHLKa67BaYl0VucXVtBez+D3CJB2qAmQaB8tr4on6icXJ7iUGvsLq3aoiWzIT7TcGbk29Xba96c31z93IPaV1miPTGfwpczwJwjr+7AAMZ2//57ph5Tr5egoowVrT2EdqqqmfclA9QvQbsKq7UK8FGEF9v0Zvq2wRnt8obDibIaqA5NNz5UznaQTomm6aT9BWMV4om4TcSbGSaGwVo3S0MxOk6TlM9b23dwUNZ3kXP/cgYHCqk1Co+c6B6enFa1b4DwhrKbN29oDHTTDrYpHq3rCTDykhlF7XN7imZ359zpNYfUIZWgP1Cnl0/ZYQU9L9M8dMH6E5Q3XuVHjkLCG/CSqFoX1aHl6oTk38yOqueZK9Cweto0y7Tvj0fJZGOcp1eXCCi5laIgmhPVzlmfJL1Z0Or31pt2vbw9B/OK6/nSiWItHVbX8g+sl9qjEJZvMRr8VsHOaqtqF2zgnA7vFc1fAzA5YkiPX7Z8bCevmmepvV3ouf/t47gqeqL58M9/Hcun+uZewEkLIDaCw/njdd6ZMPPDqk3JWCmvVfL7TD8fVOMw7fp1+CuNcnityJ+SfDZzWz6oqSvvhiJqA53mJHj9DgyQkwW9h/TpoX4zm3sJ6lbE6Os7dhBU82UNICX9tBczvW2uFdZWg7AaFdU4eyHNAwio+uS2+e0J7AFt0Ytp7/B/n2v6tDBCh/yEPrV3+fRVnnp07la2903nnjifOmyf/0euF601cFxAnNZeEsGespyHaWrYDrH2t2QB9zPkPDQBtaB3/+mPzD1QtGLM5ZtXRPHcmzXO9gP9+YfVci/54KKwkiktYwfl4xGrlHuFI+K8aqK03Z/yh1HmMo/Xm8hyaq5oGM4VVqzd3XaiepIq8sL4PC0yncbsKwzOyqH9goJ0llviF9dg0f+qcwfjz1pPnUJweaZssrFq9ietCYSVVJIXVv+wKlZtLS9NP51hNCCsoLJ+xluc5GqfH/0xhzfW9/k9BQjC9wtpOCsS+Hl2i9vjvkTNNWD11gQHsCcmTfLPqaJ474/RcL+C2UFjf+laA87p4JuOEOPkjrO3SSVxUnt59Sd1OPEV0Barw+z8eatEC2sGJ6zUbhU/RbHCe8VvYHh/64/TUe3KlNQ03OZQis17PdcExUFhJFP5WwI8Xl4HPhleflENhJYSQYiishBBSzCWF9bgT+oR6CSHXol5Y/bdZ0v5fl1VVkIer3CHZNs7QfcLl0ZJ7kxHW0y1a//3l0cI6dMAUCvoSYQ3dhTf9lCd2pqvcQyOE+EnOWFsxTZyVrnfojDhUb4+3meSu1/zA5niLVrpPushV6BXWrT78rzIAKKyDwhj3Ab9JxshVKBZW86lssbBqvukfV8dHytunyj1tqY3T8+i7luqZ869EnIkkhLah27NOZmLAoGlDN7LIQ8gLKx4A2lm4pH/7LxR/e+KcmV0oP4VxVn1O+OPMZUDceBHb7rHxpMuZT2orcTJkK+ASwqod5nY5SuL056cnbyNWBtF4osIazQOFlaxlvbCaC8BEVFHLKwprT97K85wQetBzlgirmU+qKvFT81SA811zQHZSIqyvuiVzeX7Soj96ZZDemhBLls9Y/ZeMEJG9hHXEgNdmH3jc+qUhEfP8rQA88y3JcygefGIrrFrbT681m86tAKoqidL1BQHwVqtc2jorvZ711yvag4aEIoka+/PjPAx9BnhUJho/PvQn8HPW8eq0tWshnQzE8kQ/pKqSBJf8rYB+8GgZJ6wbcvX4CdmQJwqrOeMOuVrenM5ULI+BkPvxRGElhJChUFgJIaSYecLaeXvquly94VePn5D5UFgntX15DE+On5DJPGIrYLkuLA/g4fETMhkK6yMCeHj8hExmkrCaj2SLT/WDB/jFp+vbU8AD4VqQZrRRexCtZp9OachPLn5CiMnUGauoAqe/n/LTYfsafC0n/eUZrV4QjDM2008o2kI/ofgJIR72FVbxRDDgweAPCasZcGecHj+hlPb4ScdPCAFQWJGltvDvjLP18ylPTK57/FBYCRkBhRVZhpbwnjg9AfdsBfT4ceaZEGKyr7Am9ljNek2BMPccE1sBb2nz19NATyb7/Zi5Dc2jCSGv+U8FnFTmJKynga2tals5aJ3jU0CcWr3HaEUzcKi1ujXObQWk/ZjtbasghJhs+hzrqmH8NPl4WnsJmcOOwhqdu1293qflmZDbs6OwEkLIpaGwEkJIMRTWy+NZzl9x1b8q4MslimzIb2H13FifximY5fGYcb5WK1foGYALsXk+CdH4a8a6Tz9uH/1ZniktcvHZz+UJ7DHbh306JCEhdhfWzbs4hXWHdt2mXnIbkLBq63Fz/as9wN+eAqpoQ9L8mEtyfzyiPeDjpM2e34+57wGS3LYFnAWc+zdqcdLEPJvxh7LRGY9pD3pLLm/kgRgzVk04NB08vgZqZQ54c0CK9WrliXj6hVVzXuLHWZcnz9gAJN8TG+g/ifhL4nH2DU+7/NeXPI28sLZmoFx0btaL3/KU5+LxE81PlZ+Fwmo6nCysiXgS9WI/hJygsHZxjPOiwvpWlsCeJIuTQaewivUWCiuIJ5Q30c+xCThC8kx2F1aPMSinsKbz7EmyWG9ixtqZt2g8uXyGOh55OFP3WLUg2lMSgmiWh+JxjhZNWEG9wI82M8JJ0GZ8ICStpF/IxI6R+8DwXAWtH0Y/8Mx8ejo8IR/QFwTefy+C2g73VlZDbS9snYNTTvZaud9/p71GG16PHzHPwM+xdjFLJ89ak81LA9qr9Zb2Bb4KnnZpIWn9ECTBbA5uVyhp5Jkkv9LK/kR2gP2Q7ElGWPlZTXaA/ZBsC3+EhRBCiqGwEkJIMYuFtXwdt8nasCSGwrYMzckmOSdkH759//lLuwv/hXkPPWF5PKWwMeAG/WR2E8TRCSn0H+pCuOuGol3eZ8id+PO41bFUUyjPEzl+45BZj6slY6Zq0rpVPJqrQR8Aof7mtAf6S20lVQwUVo+908bJVgOGwtrvOeTWbwwsqa2khJiwmuCBoU0WtEJtfuHfrxDLj498t96AE/yuKTeaE3CoVSrmAQRZGI+W58I4ccfotDSNqa2kH/tfs+Cuf6JKWNtB2x76502a5fGvp962arO9bb1iFaCNZniiZg2KJ+onFye+ms5L3GNMbSWdyDPWFqe8miPQcxY4MTrgsf9WWEF7PYPfI0DaoSZAon20vCqeqJ9cnOBSalBYyVZ4hfWLaI/sWcpp0+dEdSFhfR8Wqqbz00w/pFynwwnC2h9P1G3VBwCm1p6qSvoxhDXa4wuFVXyrSlg/hR5lMZ2kE6Jpumk/QVjFeKJuE3EmdK1QWKmqpISBwqpNQqPnOgenpxWtW+A8IaymzdvaAx00w62KR6t6wkw8pIZRe1xOSJS/viDQvv2G69yocUhYQ34SVYvCerQ8vdCcm/kR1VxzJXoWD9tGmfad8Wj5LIzzlOpyYQWXkqpKCtnotwLu2rPBTG1JBnaLh5D7sZGwvu47kvHE8GXNyG4fDyE3Yy9hJYSQG0BhJYSQYiishBBSDIWVEEKKobASQkgxFFZCCCmGwkoIIcVQWAkhpBgKKyGEFENhJYSQYiishBBSDIWVEEKKobASQkgx/weJsp1lP7BDMQAAAABJRU5ErkJggg==
请问大神,这是什么原因导致的呀,小白初学,还请大神帮忙。
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免流量费下载资料----在经管之家app可以下载论坛上的所有资源,并且不额外收取下载高峰期的论坛币。
涵盖所有经管领域的优秀内容----覆盖经济、管理、金融投资、计量统计、数据分析、国贸、财会等专业的学习宝库,各类资料应有尽有。
来自五湖四海的经管达人----已经有上千万的经管人来到这里,你可以找到任何学科方向、有共同话题的朋友。
经管之家(原人大经济论坛),跨越高校的围墙,带你走进经管知识的新世界。
扫描下方二维码下载并注册APP
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