df is a dataframe , in which there are some NaN values in df . The following code formats each column in turn (for example, changing money into a string that begins with a dollar sign, and the corresponding function is formatter_function ). How to ignore the nan value and not deal with it?
for col in df.columns:
df[col] = formatter_function(df[col])
return dfit is recommended that your formatter_function be modified to ignore NaN , thus simplifying the code
.return df.apply(formatter_function) otherwise you can do this
return df.apply(lambda c: c[~np.isnan(c)].apply(formatter_function))there are two sets of data that make two dataframe, with the same row and column tags want to know how to get two dataframe to fill the missing values with each other. ...
data is the dataframe, of stock data, including the stock symbol and trading date. then I want to eliminate the data that the trading day is less than 15 days per month. the question now is: I have obtained the dataframe2, of less than 15 days per mon...
such a table, if you want to group it with key1, take the row with the larger data2, and how do you make a table? tried df.groupby ( key1 ,as_index=False). Max () takes the largest of all columns. This won t work. What can I do? this is the origin...
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Table 1 add column matching Table 2 key _ word, if Table 1 add contains Table 2 key_word, write group, in Table 1 column 4, if not, mark "not included ". PS: I also measured with iteration, Cartesian product also tried, but did not achieve the desired ...
for example, there is data A B C 1 1 br 2 3 2 3 3 3 4 record5 1 3 such a table should be divided into A B C 1 13 1 23 2 3 3 43 1 53 1 63 excuse me how to operate ...
problem description I read the difference data from two different excel, and then put them into a new excel. It is normal to display a column of ID number under IDE, but it becomes a scientific counting method in excel. Is there a way to make a column...
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< H2 > Development environment < H2 > python 3.6 pandas 0.23.3 has a DataFrame, as follows: import pandas as pd arr = [[10,10,1],[22,24.2,1.1],[15,15,1],[9,8.1,0.9],[50,55,1.1]] df = pd.DataFrame(arr,columns=[ volume , amount , price ]) ...
problem description A pit when performing operations in the actual development of pandas! -------------------------------------------------------------------------------- age name 0 10 abc 1 11 None 2 9 def ---------------------------...
recently, I want to process the form for analysis. Due to the lack of experience in dealing with sql or csv, I have encountered the following problems and asked to solve them: question 1: companyID fresh 23865 13-2 23866 10-3 23867 8-...
pandas6Excel ...
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