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...
import pandas as pd word = pd.read_table ( test.txt , encoding = utf-8 , names = [ query ]) what does the query in the names here mean? header: int, list of ints, default infer Row number (s) to use as the column names, and the s...
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. ...
how to deal with decoding errors when reading files? ...
currently I have a piece of code that spends most of its time on the above two sentences of data filtering in dataframe. temp_df = df [df [ "data_date "] .isin (date_list)] temp = temp_df [rule [2]] [temp_df [ "data_date "] = = d] at present, it tak...