pandas

问题 I have the following dataframe: -----+-----+-------------+-------------+-------------------------+ | ID1 | ID2 | Box1_weight | Box2_weight | Average Prev Weight ID1 | +-----+-----+-------------+-------------+-------------------------+ | 19 | 677 | 3 | 2 | - | +-----+-----+-------------+-------------+-------------------------+ | 677 | 19 | 1 | 0 | 2 | +-----+-----+-------------+-------------+-------------------------+ | 19 | 677 | 3 | 1 | (0 + 3 )/2=1.5 | +-----+-----+-------------+-----------

问题 I have the following dataframe: -----+-----+-------------+-------------+-------------------------+ | ID1 | ID2 | Box1_weight | Box2_weight | Average Prev Weight ID1 | +-----+-----+-------------+-------------+-------------------------+ | 19 | 677 | 3 | 2 | - | +-----+-----+-------------+-------------+-------------------------+ | 677 | 19 | 1 | 0 | 2 | +-----+-----+-------------+-------------+-------------------------+ | 19 | 677 | 3 | 1 | (0 + 3 )/2=1.5 | +-----+-----+-------------+-----------

问题 I have a dataframe with text scraped online in each row which contains sports selection information (all in the same column). I am trying to transpose the data so that: print(df): Col A Random text sentence Random text sentence Random text sentence Race 1 - Handicap 14 - NAME 3 - NAME 5 - NAME 6 - NAME Race Overview: lorem ipsum etc etc Race 2 - Sprint 12 - NAME 10 - NAME 8 - NAME 11 - NAME Race Overview: Second lorem ipsum etc etc Becomes: Race Name | Selection No | Selection | Race Overview

问题 I am working with Pandas and am trying to populate a column with the values in another column, where another column contains the same value as in a specific column. Example: >>> df = pd.DataFrame({'StringToCheck': ['10T','125T', '',''], 'FromNumber' :['','','',''], 'ToNumber' : ['','','',''], 'CheckStringHere': ['AAA_ER', 'FGGR_DBC', '10T', '125T'], 'AssociatedValue1': ['','','56','16'], 'AssociatedValue2': ['','','58','24']}) >>> df StringToCheck FromNumber ToNumber CheckStringHere

问题 I am working with Pandas and am trying to populate a column with the values in another column, where another column contains the same value as in a specific column. Example: >>> df = pd.DataFrame({'StringToCheck': ['10T','125T', '',''], 'FromNumber' :['','','',''], 'ToNumber' : ['','','',''], 'CheckStringHere': ['AAA_ER', 'FGGR_DBC', '10T', '125T'], 'AssociatedValue1': ['','','56','16'], 'AssociatedValue2': ['','','58','24']}) >>> df StringToCheck FromNumber ToNumber CheckStringHere

问题 So, I have a pandas column name Notes which contains a sentence or explanation of some event. I am trying find some given words from that column and when I find that word I am adding that to the next column as Type The problem is for some specific word for example Liar , Lies its picking up word like familiar and families because they both have liar and lies in them. Notes Type 2 families are living in the address Lies He is a liar Liar We are not familiar with this Liar As you can see from

问题 We have a dataframe of almost 100000 records which i want to upsert in a mongodb collection. My sample code is mentioned below. For keeping it simple in below code, I am generating these data in a for loop and appending lstValues. In actual application, we receive these data from external csv files which we load it into pandas dataframe. We receive almost 98000 records from these external csv files. Also our original mongodb collection already contains almost 1,00,00,00 records and it keeps

问题 We have a dataframe of almost 100000 records which i want to upsert in a mongodb collection. My sample code is mentioned below. For keeping it simple in below code, I am generating these data in a for loop and appending lstValues. In actual application, we receive these data from external csv files which we load it into pandas dataframe. We receive almost 98000 records from these external csv files. Also our original mongodb collection already contains almost 1,00,00,00 records and it keeps

问题 We have a dataframe of almost 100000 records which i want to upsert in a mongodb collection. My sample code is mentioned below. For keeping it simple in below code, I am generating these data in a for loop and appending lstValues. In actual application, we receive these data from external csv files which we load it into pandas dataframe. We receive almost 98000 records from these external csv files. Also our original mongodb collection already contains almost 1,00,00,00 records and it keeps

问题 We have a dataframe of almost 100000 records which i want to upsert in a mongodb collection. My sample code is mentioned below. For keeping it simple in below code, I am generating these data in a for loop and appending lstValues. In actual application, we receive these data from external csv files which we load it into pandas dataframe. We receive almost 98000 records from these external csv files. Also our original mongodb collection already contains almost 1,00,00,00 records and it keeps