pandas在列上连接多个数据帧
I have 3 CSV files. Each has the first column as the (string) names of people, while all the other columns in each dataframe are attributes of that pe...
将空列添加到多个数据帧
I want to add multiple empty columns to multiple dataframes. I know the code to do this for 1 dataframe is df[,namevector] <- NA (other question). ...
修改pandas数据帧中的行子集
Assume I have a pandas DataFrame with two columns, A and B. I'd like to modify this DataFrame (or create a copy) so that B is always NaN whenever A is...
从numpy数组创建pandas数据帧
To create a pandas dataframe from numpy I can use : 要从numpy创建一个pandas数据框,我可以使用: columns = ['1','2']data = np.array([[1,2] , [1,5] , [2,3]])df_1 = pd....
使用标头和dtypes将pandas数据帧转换为numpy数组
I have been trying to convert a pandas dataframe into a numpy array, carrying over the dtypes and header names for ease of reference. I need to do thi...
如何通过多列分割/聚合大数据帧(ffdf) ?
ffbase provides the function ffdfdply to split and aggregate data rows. This answer (https://stackoverflow.com/a/20954315/336311) explains how that ca...
没有应用函数的pandas数据帧中的数据透视表
I have a pandas dataframe that looks like that: 我有一个像这样的pandas数据框: df = pd.DataFrame({ 'ID' : [2,2,2,2,2,4,4,3,3,3,6] , 'count' : [20,43,45,50,15,65,3...
如何在R中添加数据帧中的列
I have imported data from a file into a data frame in R. It is something like this. 我已经从一个文件中导入数据到r中的一个数据框架中。 Name Count CategoryA 100 ...
基于groupby拆分pandas数据帧
I want to split the following dataframe based on column ZZ 我想基于ZZ列拆分以下数据帧 df = N0_YLDF ZZ MAT 0 6.286333 2 11.669069 1 6.31...
Pandas,通过单值增加列值来分割数据帧
I have a gigantic dataframe with a datetime type column called time, and another float type column called dist, the data frame is sorted based on time...
如何将数据帧按行拆分为n块,应用函数并合并?
I have a data.frame of 130,209 rows. 我有一个130,209行的data.frame。 > head(dt) mLow1 mHigh1 mLow2 mHigh2 meanLow meanHigh fc mea...
如何比较两个数据帧/表并在R中提取数据?
In attempt to extract mismatches between the two data frames below I've already managed to create a new data frame in which mismatches are replaced. W...
Pandas数据帧获得每组的第一行
I have a pandas DataFrame like following. 我有一个像下面这样的pandas DataFrame。 df = pd.DataFrame({'id' : [1,1,1,2,2,3,3,3,3,4,4,5,6,6,6,7,7], 'v...
如何按键/值交错两个数据帧中的行?
I would like to combine data from two tables by interleaving them based on time stamp. Because the "Box" column has multiple values they are of unequa...
Pandas数据帧fillna()只有一些列到位
I am trying to fill none values in a Pandas dataframe with 0's for only some subset of columns. 我试图在Pandas数据帧中填充任何值,只有一些列的子集为0。 When I do: 当我做: import...
如何使用来自几个列的值对熊猫数据帧进行排序?
I have the following data frame: 我有以下数据框架: df = pandas.DataFrame([{'c1':3,'c2':10},{'c1':2, 'c2':30},{'c1':1,'c2':20},{'c1':2,'c2':15},{'c1':2,'c2':10...
按时间段过滤数据帧,在R中过滤ID
Problem: I am trying to filter my dataframe by specific datetimes that are dependent on an ID vector. 我试图通过依赖于ID向量的特定日期时间来过滤我的数据帧。 Specifically, for ...
R:基于索引的数据帧之间的NA替换
I have this data df.1: 我有这个数据df.1: month a b c 1 0 0.000000000 0.000000000 2 0 0.000000000 0.001503...
函数列表的数据帧,返回的数据帧在R。
I have a list of data frames of the following form: 我有以下表格的数据框列表: str(mylist)List of 2 $ df1:'data.frame': 50 obs. of 4 variables: ..$ var1: num ...
合并R中的两个数据帧
I want to merge two data frames with approximately same number of rows. But the merging needs to be done in a special way. 我想合并两个具有大致相同行数的数据帧。但合并需要以特殊...