csv

How to read CSV file from GitHub using pandas

由 一世执手 提交于 2020-12-05 05:01:45
问题 Im trying to read CSV file thats on github with Python using pandas> i have looked all over the web, and I tried some solution that I found on this website, but they do not work. What am I doing wrong? I have tried this: import pandas as pd url = 'https://github.com/lukes/ISO-3166-Countries-with-Regional-Codes/blob/master/all/all.csv' df = pd.read_csv(url,index_col=0) #df = pd.read_csv(url) print(df.head(5)) 回答1: You should provide URL to raw content. Try using this: import pandas as pd url =

Finding total number of duplicates in CSV file

由 生来就可爱ヽ(ⅴ＜●) 提交于 2020-12-04 06:41:10
问题 I am parsing through a CSV file and require your kind assistance. I have duplicates in my CSV file. I want to tell Python to provide me with the total number of Duplicate Addresses and total number of unique Addresses and then list them. I have successfully got to the part where the Address shows if it's an unique or duplicate but now I want to tell Python to provide me with the respected numbers as well. import csv csv_data = csv.reader(file('T:\DataDump\Book1.csv')) next(csv_data) already

Finding total number of duplicates in CSV file

由 本小妞迷上赌 提交于 2020-12-04 06:40:30
问题 I am parsing through a CSV file and require your kind assistance. I have duplicates in my CSV file. I want to tell Python to provide me with the total number of Duplicate Addresses and total number of unique Addresses and then list them. I have successfully got to the part where the Address shows if it's an unique or duplicate but now I want to tell Python to provide me with the respected numbers as well. import csv csv_data = csv.reader(file('T:\DataDump\Book1.csv')) next(csv_data) already

用pandas将多个同格式csv数据文件合并

由 ﹥＞﹥吖頭↗ 提交于 2020-12-03 11:56:56
两个问题： 1.文件编码问题，win系统excel另存的csv文件可以用pandas的encoding='gbk'来读写，对中文就可以很好的支持， python默认的'utf-8'编码的csv文件，excel打开中文是乱码 2.用pandas将多个同格式csv数据文件合并 源码如下： #-*- coding: utf-8 -*- import pandas as pd def csv_merge(flist,fo,cols=None, encoding='gbk'): l=len(flist) for i in range(l): s=pd.read_csv(data_path+flist[i],index_col=None, header=0, usecols=cols, na_values=[''],encoding=encoding) if i==0: s.to_csv(data_path+fo,encoding=encoding, index=False) else: s.to_csv(data_path+fo,encoding=encoding,mode='a', header=False, index=False) import os data_path=r'G:\data' flist =os.listdir(data_path) data_path+='\\' fo

Upload CSV file using Python Flask and process it

由 跟風遠走 提交于 2020-12-01 10:59:46
问题 I have the following code to upload an CSV file using Python FLASK. from flask_restful import Resource import pandas as pd ROOT_PATH = os.path.dirname(os.path.abspath(__file__)) class UploadCSV(Resource): def post(self): files = request.files['file'] files.save(os.path.join(ROOT_PATH,files.filename)) data = pd.read_csv(os.path.join(ROOT_PATH,files.filename)) print(data) api.add_resource(UploadCSV, '/v1/upload') if __name__ == '__main__': app.run(host='localhost', debug=True, port=5000) This

Upload CSV file using Python Flask and process it

由 萝らか妹 提交于 2020-12-01 10:59:21
问题 I have the following code to upload an CSV file using Python FLASK. from flask_restful import Resource import pandas as pd ROOT_PATH = os.path.dirname(os.path.abspath(__file__)) class UploadCSV(Resource): def post(self): files = request.files['file'] files.save(os.path.join(ROOT_PATH,files.filename)) data = pd.read_csv(os.path.join(ROOT_PATH,files.filename)) print(data) api.add_resource(UploadCSV, '/v1/upload') if __name__ == '__main__': app.run(host='localhost', debug=True, port=5000) This

Adding metadata / identifier data to a CSV file?

由 天涯浪子 提交于 2020-12-01 09:20:16
问题 Is there a way to add a "tag" (add a unique metadata/identifier) to a CSV file without affecting the contents or ability to read/write the file? I am using Python, but I don't think the language matters here. 回答1: Just add comment lines that you can parse later. #Creator:JohnSmith #Date:.... #Columns:id,username,... 1,JohnSmith 2, .. 回答2: This would be compliant with W3C embedded metadata format: http://www.w3.org/TR/tabular-data-model/#embedded-metadata #publisher,W3C #updated,2015-10-17T00

How do I generate a git commit log for the last month, and export it as CSV?

由 徘徊边缘 提交于 2020-11-30 02:12:25
问题 Is there a way to generate a git commit log for the last month, and export it as a CSV file? I'm looking for something I can run from the command line, or a 3rd party app. I'd like the following columns: author, date of commit, subject, file edited and hash. 回答1: You can use the --since and --pretty option of git log , for instance: git log --since="last month" --pretty=format:'%h,%an,%ar,%s' > log.csv Refer to the PRETTY FORMATS section of the Git log man page for more options. 回答2: This

How do I generate a git commit log for the last month, and export it as CSV?

由 拥有回忆 提交于 2020-11-30 02:12:05
问题 Is there a way to generate a git commit log for the last month, and export it as a CSV file? I'm looking for something I can run from the command line, or a 3rd party app. I'd like the following columns: author, date of commit, subject, file edited and hash. 回答1: You can use the --since and --pretty option of git log , for instance: git log --since="last month" --pretty=format:'%h,%an,%ar,%s' > log.csv Refer to the PRETTY FORMATS section of the Git log man page for more options. 回答2: This

Operations on a very large csv with pandas

由 血红的双手。 提交于 2020-11-30 01:46:50
问题 I have been using pandas on csv files to get some values out of them. My data looks like this: "A",23.495,41.995,"this is a sentence with some words" "B",52.243,0.118,"More text but contains WORD1" "A",119.142,-58.289,"Also contains WORD1" "B",423.2535,292.3958,"Doesn't contain anything of interest" "C",12.413,18.494,"This string contains WORD2" I have a simple script to read the csv and create the frequencies of WORD by group so the output is like: group freqW1 freqW2 A 1 0 B 1 0 C 0 1 Then
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