如何使用pandas将数据写入现有的excel文件？

Question

I want to request some data from a python module tushare. By using this code, I can each time get a line of data. However I want to send the server a request for like every 5 seconds and put all the data within 4 hrs into one excel file. I notice that pandas is already built in tushare. How to put the data together and generate only one excel file?

    import tushare as ts
    df=ts.get_realtime_quotes('000875')

    df.to_excel(r'C:\Users\stockfile\000875.xlsx')

Answer 1

You can do it with for example

df = df.append(ts.get_realtime_quotes('000875'))

Given the number of calls, it nay be better to create a data frame and fill it with data rows as they arrive. Something like this:

# Here, just getting column names:
columns = ts.get_realtime_quotes('000875').columns
# Choose the right number of calls, N,
df = pd.DataFrame(index = range(N), columns = columns)
for i in range(N):
    df.iloc[0] = ts.get_realtime_quotes('000875').iloc[0]
    sleep(5)

Another way to do it (possibly simpler and without preallocating the empty data frame) would be storing answers from tushare in a list and then applying pd.concat .

list_of_dfs = []
for _ in range(N):
    list_of_dfs.append(ts.get_realtime_quotes('000875'))
    sleep(5)
full_df = pd.concat(list_of_dfs)

This way you don't need to know the number of requests in advance (for example, if you decide to write the for loop without explicit number of repetitions).