dataframe

问题 I need some help with a data types issue. I'm trying to convert a pandas dataframe, which looks like the following: timestamp number 2018-01-01 1 2018-02-01 0 2018-03-01 5 2018-04-01 0 2018-05-01 6 into a pandas series, which looks exactly like the dataframe, without the column names timestamp and number: 2018-01-01 1 2018-02-01 0 2018-03-01 5 2018-04-01 0 2018-05-01 6 It shouldn't be difficult, but I'm having a little trouble figuring out the way to do it, as I'm a beginner in pandas. It

问题 I need some help with a data types issue. I'm trying to convert a pandas dataframe, which looks like the following: timestamp number 2018-01-01 1 2018-02-01 0 2018-03-01 5 2018-04-01 0 2018-05-01 6 into a pandas series, which looks exactly like the dataframe, without the column names timestamp and number: 2018-01-01 1 2018-02-01 0 2018-03-01 5 2018-04-01 0 2018-05-01 6 It shouldn't be difficult, but I'm having a little trouble figuring out the way to do it, as I'm a beginner in pandas. It

问题 I want my dataframe to display the first row names as my dataframe column name instead of numbering from 0 etc. How do I do this? I tried using pandas and openpyxl modules to turn my Excel spreadsheet into a dataframe. import pandas as pd from openpyxl import load_workbook from openpyxl.utils.dataframe import dataframe_to_rows wb = load_workbook(filename='Budget1.xlsx') print(wb.sheetnames) sheet_ranges=wb['May 2019'] print(sheet_ranges['A3'].value) ws=wb['May 2019'] df=pd.DataFrame(ws.values

问题 I want my dataframe to display the first row names as my dataframe column name instead of numbering from 0 etc. How do I do this? I tried using pandas and openpyxl modules to turn my Excel spreadsheet into a dataframe. import pandas as pd from openpyxl import load_workbook from openpyxl.utils.dataframe import dataframe_to_rows wb = load_workbook(filename='Budget1.xlsx') print(wb.sheetnames) sheet_ranges=wb['May 2019'] print(sheet_ranges['A3'].value) ws=wb['May 2019'] df=pd.DataFrame(ws.values

问题 I want my dataframe to display the first row names as my dataframe column name instead of numbering from 0 etc. How do I do this? I tried using pandas and openpyxl modules to turn my Excel spreadsheet into a dataframe. import pandas as pd from openpyxl import load_workbook from openpyxl.utils.dataframe import dataframe_to_rows wb = load_workbook(filename='Budget1.xlsx') print(wb.sheetnames) sheet_ranges=wb['May 2019'] print(sheet_ranges['A3'].value) ws=wb['May 2019'] df=pd.DataFrame(ws.values

问题 This question already has answers here : Changing multiple column names but not all of them - Pandas Python (4 answers) Closed 1 year ago . I am trying to rename selected columns (say the two las columns) in my data frame using the iloc and df.columns functions but it does not seem to work for me and I can't figure out why. Here is a toy example of what I want to achieve: import pandas as pd d = {'one': list(range(5)), 'two': list(range(5)), 'three': list(range(5)), 'four': list(range(5)),

问题 I was not clear about my issue, so I am reviewing the question. I have a function manipulating a generic dataframe (it removes and renames columns and records): def manipulate_df(df_local): df_local.rename(columns={'A': 'grouping_column'}, inplace = True) df_local.drop('B', axis=1, inplace=True) df_local.drop(df.query('grouping_column not in (\'1\', \'0\')').index, inplace = True) df_local = df_local.groupby(['grouping_column'])['C'].sum().to_frame().reset_index().copy() print("this is what I

问题 I was not clear about my issue, so I am reviewing the question. I have a function manipulating a generic dataframe (it removes and renames columns and records): def manipulate_df(df_local): df_local.rename(columns={'A': 'grouping_column'}, inplace = True) df_local.drop('B', axis=1, inplace=True) df_local.drop(df.query('grouping_column not in (\'1\', \'0\')').index, inplace = True) df_local = df_local.groupby(['grouping_column'])['C'].sum().to_frame().reset_index().copy() print("this is what I

问题 I'm trying to store multiple dataframes in a list. However, at some point, the dataframes end up getting converted into lists, and so I end up with a list of lists. All I'm really trying to do is keep all my dataframes together in some sort of structure. Here's the code that fails: all_dframes <- list() # initialise a list that will hold a dataframe as each item for(file in filelist){ # load each file dframe <- read.csv(file) # read CSV file all_dframes[length(all_dframes)+1] <- dframe # add

问题 I'm trying to store multiple dataframes in a list. However, at some point, the dataframes end up getting converted into lists, and so I end up with a list of lists. All I'm really trying to do is keep all my dataframes together in some sort of structure. Here's the code that fails: all_dframes <- list() # initialise a list that will hold a dataframe as each item for(file in filelist){ # load each file dframe <- read.csv(file) # read CSV file all_dframes[length(all_dframes)+1] <- dframe # add