csv

I Get TypeError: cannot use a string pattern on a bytes-like object when using to_sql on dataframe python 3

可紊 提交于 2021-02-10 22:19:09
问题 Hi I am trying to write a dataframe to my sql database using df.to_sql however I am getting the error message: TypeError: cannot use a string pattern on a bytes-like object. I am using Python 3. I am using a path on my drive which I can unfortuantly not share. But it works fine when I just want to open the csv file using. df = pd.read_csv(path, delimiter=';', engine='python', low_memory=True, encoding='utf-8-sig') I am using the encoding item because otherwise their is a strange object at my

Merge csv Files with TimeStamps

六月ゝ 毕业季﹏ 提交于 2021-02-10 20:40:44
问题 Data File 1: data_20150801.csv Time Header Header Header Header 2015-08-01 07:00 14.4 14.4 14.4 68 2015-08-01 07:01 14.4 14.4 14.4 68 Data File 2 data2_20150801.csv Time Header Header 2015-08-01 00:00 90 12312 2015-08-01 00:01 232 13213 ...... 2015-08-01 07:00 1000 1500 2015-08-01 07:01 2312 1245 2015-08-01 07:02 1232 1232 2015-08-01 07:03 1231 1232 Id like to merge those 2 .csv Files, to get a File That looks like: Time Header Header Header Header Header Header 2015-08-01 07:00 14.4 14.4 14

Modifying multiple .csv files from same directory in python

血红的双手。 提交于 2021-02-10 19:07:17
问题 I need to modify multiple .csv files in my directory. Is it possible to do it with a simple script? My .csv columns are in this order: X_center,Y_center,X_Area,Y_Area,Classification I would like to change them to this order: Classification,X_center,Y_center,X_Area,Y_Area So far I managed to write: import os import csv for file in os.listdir("."): if file.endswith(".csv"): with open('*.csv', 'r') as infile, open('reordered.csv', 'a') as outfile: fieldnames = ['Classification','X_center','Y

Modifying multiple .csv files from same directory in python

元气小坏坏 提交于 2021-02-10 19:01:07
问题 I need to modify multiple .csv files in my directory. Is it possible to do it with a simple script? My .csv columns are in this order: X_center,Y_center,X_Area,Y_Area,Classification I would like to change them to this order: Classification,X_center,Y_center,X_Area,Y_Area So far I managed to write: import os import csv for file in os.listdir("."): if file.endswith(".csv"): with open('*.csv', 'r') as infile, open('reordered.csv', 'a') as outfile: fieldnames = ['Classification','X_center','Y

Importing CSV from URL that has line breaks within one of the fields

筅森魡賤 提交于 2021-02-10 18:44:42
问题 I created a script that imports a CSV file from a URL into a Google Sheet. I have used Utilities.parseCsv(csv) in the past with no problems. However, this particular CSV file contains a field that has multiple line returns (ALT+Enter). This causes the parsed file to create extra rows when it encounters these fields. I think the best approach is to sanitize the CSV file before parsing, but I do not know how to do this. The problem field is 'Description' (Column G). Current Script: function

How to enrich event stream with big file in Apache Flink?

落花浮王杯 提交于 2021-02-10 18:34:43
问题 I have a Flink application for click stream collection and processing. The application consists of Kafka as event source, a map function and a sink as image shown below: I want to enrich the incoming click stream data with user's IP location based on userIp field in raw event ingested from Kafka. a simplified slice of the CSV file as shown below start_ip,end_ip,country "1.1.1.1","100.100.100.100","United States of America" "100.100.100.101","200.200.200.200","China" I have made some

Issues with Access parsing double quotes in a CSV file

一世执手 提交于 2021-02-10 18:34:43
问题 I have a large CSV file that I am trying to import into Microsoft Access but I am running into issues. Assume pipes represent different cells in the database Assume my content is the below. The second entry will only parse the word my with default settings and will not import the word content into the database even though the import wizard implies that it will. The default settings being , delimiter and " text qualifier. |my content is good| |my| Now if i change the text qualifier to NONE it

how to open a 'csv file' like 'url launcher' in Flutter

て烟熏妆下的殇ゞ 提交于 2021-02-10 18:29:38
问题 i converted list into File of .csv extension then tried OpenFile.open and ended up with error No permissions found in manifest for: 2 , tried canLaunch and ended up with error name.csv exposed beyond app through Intent.getData(), Failed to handle method call so how to open that csv file in any 3rd part application. 回答1: You can copy paste run full code below and make sure you have a file /sdcard/Download/sample.csv , see picture below You also need CSV Viewer installed in your Emulator code

how to open a 'csv file' like 'url launcher' in Flutter

ぐ巨炮叔叔 提交于 2021-02-10 18:29:24
问题 i converted list into File of .csv extension then tried OpenFile.open and ended up with error No permissions found in manifest for: 2 , tried canLaunch and ended up with error name.csv exposed beyond app through Intent.getData(), Failed to handle method call so how to open that csv file in any 3rd part application. 回答1: You can copy paste run full code below and make sure you have a file /sdcard/Download/sample.csv , see picture below You also need CSV Viewer installed in your Emulator code

delete rows in csv based on specific column value python

我的梦境 提交于 2021-02-10 18:24:50
问题 I have a large csv with the following header columns id , type , state , location , number of students and the following values: 124, preschool, Pennsylvania, Pittsburgh, 1242 421, secondary school, Ohio, Cleveland, 1244 213, primary school, California, Los Angeles, 3213 155, secondary school, Pennsylvania, Pittsburgh, 2141 etc... The file is not ordered and I want a new csv file that contains all the schools with the number of students above 2000. The answers that I found were regarding to